Logging In

To access KloudInsights, you’ll need a URL, username, and password. These details are provided at the time of product purchase. If you’re unsure about this process, refer to the “Kloudspot Product Purchase Options and Provisioning Process” section for a comprehensive guide on how to acquire a Kloudspot product. Then follow the steps outlined below:

1. Open your web browser.

2. In the address bar, type the URL provided to you upon purchase, and press Enter. This URL will lead you to the KloudManage login page.

3. On the login page, you will need to enter your username and password. These credentials should have been provided to you upon purchase. If you haven’t received them or have trouble logging in, please contact Kloudspot support for assistance.

4. Once you’ve entered your username and password, click the “Log In” button to access the KloudInsights dashboard.

Home Page Overview

Immediately after logging in, you will reach the home page of KloudInsights. Here you can see different dashboards and menu buttons.

The KloudInsights Dashboard provides a centralized hub for accessing and managing key features of the platform. The user interface is designed for intuitive navigation, with an expandable menu on the left and essential buttons at the top-right corner of the screen.

Top Menu Buttons

1. Access to Online Documentation

Provides direct access to the web-based documentation for KloudInsights. This resource offers detailed information, guides, and tutorials to help users navigate the platform effectively.

2. Feedback to Product Team

Allows users to provide direct feedback to the product team regarding any encountered bugs or suggested features. This feature promotes user involvement in the ongoing development and improvement of the platform.

3. User Settings

Enables users to manage their account settings, including updating their email address and password. This section ensures that users have control over their account information.

4. REST API Documentation and Access Keys

Offers access to the documentation and access keys for the platform’s RESTful API. This feature allows for integration with external systems and custom development.

5. Notification

Enables instant alerts and updates for critical events.

Side Menu Features

1. Home

The main overview page provides a snapshot of essential information and statistics. This page serves as a starting point for users to get an instant overview of the platform’s current status.

2. Dashboards

Allows users to create and customize their own data views. Dashboards can be configured to display specific information and metrics tailored to individual preferences and needs.

3. Rules and Actions

It enables users to configure rules that trigger specific actions within the platform. For instance, setting up a rule to send an SMS notification when an unknown user is detected.

4. Reports

Facilitates the generation and scheduling of reports in both PDF and CSV formats. Reports provide valuable insights and summaries of platform data for further analysis and decision-making.

5. Configuration

Provides access to system configuration settings. This section allows users to customize and fine-tune the platform to suit their specific requirements and preferences.

6. Information

Offers access to system information, including audit logs and other pertinent details. This section provides transparency and visibility into system activities and events.

Next, you can integrate other applications to Kloud Insights as per your needs. Check out the Integrations section to learn how to do this.

Integrations

This section provides a detailed guide on how to integrate a range of technologies, from WiFi and BLE devices to IoT sensors and management applications, ensuring a cohesive and efficient ecosystem for your organization. Explore the integration options available and unlock the full potential of KloudInsights for optimizing your network performance and data analysis.

Once you’ve logged into KloudInsights, the next step is to integrate it with KloudManage. To do this, please refer to the Integrating with Kloudmanage section.

Please refer to the API documentation to understand how to create a new API for integration.

Table of content

• API
• Integrating with KloudManage
• Meraki Integration
• Mist Integration
• Kontakt.IO IOT Sensor Integration
• Teams Application Setup
• Aruba IoT Integration
• EnGenius Configuration
• Milesight MQTT Broker Settings
• Milesight Sensor Integration
• WhatsApp Meta Integration
• Options for Cisco WLC Connections
• WiFi/BLE Event Recievers

User Roles and Permissions

After the integration part you can add users with different roles to KloudInsights, for that refer to the User & Permission Management section from the KloudHybrid Admin Guide.

Location Configuration

The next step is to add a location to KloudInsights, see the Create your office in Kloudhybrid section in the Kloudhybrid admin guide.

Action Templates

After completing the above steps, KloudInsights is ready to create rules, build dashboards, and create reports. As part of creating a rule, an action template should be created to send it. Follow the next steps to know how.

If you have already created an Action template, learn to the Creating Rules section to learn how to create a rule.

A rule must be associated with one or more actions. This screen lists all the templates defined in the system. The following action types are currently supported:

• SMS: Send an SMS to a specified telephone number.
• Email: Send an email to a list of email addresses.
• Voice: Kloudspot is integrated with Plivo to allow text to voice translation.
• Web: Notifications can just be logged to the notification log.
• Web Hook: This allows simple integration with other systems. For example, this can be used to send events to a Slack channel.
• Display Terminal: Trigger a change to a KloudDisplay terminal.
• API Action: Add/remove/replace tags.
• WhatsApp:Enable notifications and message sending via Meta authentication.

Most of the formats support the use of templated messages where information from the event can be used to construct the sent message. The template editing page includes information on the available template variables, more information on the template language is available here.

Configure an Action Template

Action templates are the actions performed by the system when a particular rule is met. To configure an action template, click on Action Template in the left-hand side menu.

1. Click on +New Template to create an action template.

2. A Create or Edit an Action Template appears.

3. Enter the name of the template in Action Template Name.

4. Select the type of action you want from the drop-down under Template Type. In this example, we select Email.

5. Specify the subject of the template in Subject.

6. To receive the notification as HTML, check Send an HTML box.

7. Select Use contact provided on device registration to use the contact preset when the device was registered.

8. Enter the email address in the Contact Email section.

9. Finally, enter the content of the email in the Email Content section.

Creating Rules

The rule editor is an easy way to create automated policies that trigger actions once a condition is met. The rule editor is where you combine the three key elements of a rule:

• Schedule: When does the rule run?
• Action: What happens when the rule is triggered?
• Condition: Under what circumstances should the rule be triggered?

To create a rule, you first need to create an action template. If you haven’t created an action template yet, refer to the Action Templates section to create one.

Creating a Rule

1. To initiate the rule creation process, navigate to Rules > Rules. Look for the Create a Rule button in the top-right corner of the page. Clicking on it will reveal three rule options:

• Create a rule (Legacy)

• Advanced Editor (Legacy)

• Create a rule (V2)

2. For this guide, we’ll focus on the latest and most advanced option – “Create a Rule (V2).”

3. Click on Create a Rule (V2), and a new page will appear.

4. In the Rule Name section, enter a descriptive name for your rule.

5. Decide the rule’s status by checking the “Active” or “Inactive” box.

6. Set the Rate Limit Period and severity level of the rule.

   • Rate Limit Period: By configuring the Rate Limit Period appropriately, you can strike a balance between staying informed about potential security breaches and avoiding notification overload, thus enhancing the effectiveness of your Rule.

   • Limit: When setting a Rate Limit, you are defining the maximum allowable number of notifications that can be generated within a specific Rate Limit Period.

   • Severity level: You can select the impact of the rule. Three Severity Levels are available, Low, medium, and High.

7. Choose the time zone, specifying the days and hours the rule should run.

   For example: If you want this rule to run from Monday to Friday from 9 am to 5 pm then check the days from Monday to Friday. Then select 9 to 5 in the time selection bar.

8. Optionally, set a date range for the rule’s activation.

   For example: If you want this rule to run from December 21 to January 21, check the “from date” check box and select December 21. Then check the To Date checkbox and select January 21. This way you can run this rule for one month.

9. Select the frequency of notifications to stay informed about triggered rules.

10. Add a pre-prepared template using the Add Template section.

11. Optionally, enable the media capture feature to receive captured media when vision or camera rules are triggered.

12. Specify the location where the rule will apply.

13. Add rules (WiFi, BLE, Camera, Air Quality, WiFi Density Condition, Vision Entity Condition) by clicking the corresponding icons.

14. For a camera rule, click on the Camera Icon.

    Note: This is an example, you can create rules like WiFi, BLE, Air Quality, WiFi Density Condition, Vision Entity Condition etc, in the same way.

15. In the rule filter section that opens, click on the Rule button.

16. Select the main condition from the dropdown list.

17. Choose the secondary condition and add a value.

    Example: “Number of people entering” is “equal to” 200.

18. Optionally, add more demographic filters by clicking the Add Demographics Filter button.

19. Click the Save button to preserve your configured rule.

Classifiers

Classifiers, with their incredible abilities, serve as powerful tools to categorize and arrange various forms of data. They excel at recognizing and labeling feature tags, device attributes, human characteristics, vehicle traits, parking spaces, vehicle occupancy in parking areas, and even tracking tools in a toolbox. By employing classifiers, we can efficiently arrange and group data according to pre-established criteria. This process allows us to extract valuable insights and create meaningful visual representations, such as interactive dashboards, that present the classified data in a structured manner. Whether we are analyzing patterns, tracking trends, or making data-informed decisions, classifiers play a pivotal role in organizing information and simplifying complex datasets.

Types of ‘classifiers’

1. Tag: Tags are used to label and classify data based on specific keywords or descriptors. They help in organizing information and making it easily searchable and retrievable.

2. Device Attribute: Device attributes refer to the characteristics and properties associated with electronic devices or hardware components. Classifying device attributes helps in categorizing devices based on the following conditions:

MacAddress, Zone, Floor, site, Zone Tag, Associated, SSID, RandomizedMac, Returned User, Session zone dwell (in milliseconds), Session floor dwell (in milliseconds), Session site dwell (in milliseconds), Tags, Number of days seen, Signal strength (RSSI in dbm), Probe Count, Time Of The Day, Day Of The Week

3. Human Feature: Human features encompass the distinct characteristics and traits of individuals. Classifying human features helps in categorizing humans based on the following conditions:

Gender, Area Of Interest, Tracking state, Face Mask, Medical Gown, Medical Eye Glass, Medical Cap, Medical Gloves, Zone By Center, Zone By maximum Area, Zones intersected, Dwell in camera view (in milliseconds), Age, Emotion, Direction (entry/exit), Time Of The Day, Day Of The Week

4. Vehicle Feature: Vehicle features involve the attributes associated with automobiles and other modes of transportation. Classifying vehicle features helps in categorizing vehicles based on the following conditions:

Type, Tracking state, Dwell in camera view (in milliseconds), Time Of The Day, Day Of The Week, First slot parking, EE, First parking occupancy (percent), Second parking occupancy (percent), Is First slot parking zone, Is Second slot parking zone, Is Multi Slot adjacent two vehicle parking.

5. Parking Slot: Parking slots are designated areas where vehicles can be parked. Classifying parking slots helps in categorizing parking slots based on the following conditions:

Tracking state, Dwell in camera view (in milliseconds), Is A Parking Zone, Time Of The Day, Day Of The Week.

6. Vehicle Parking Occupancy: Vehicle parking occupancy refers to the state of whether a parking slot is occupied by a vehicle or not. Classifying vehicle parking occupancy involves the following conditions:

Vehicle Type, Tracking state, Dwell in camera view (in milliseconds), Time Of The Day, Day Of The Week, Multi slot parking, Main Parking Occupancy (percent), Secondary Parking Occupancy (percent), Is Main Slot A Parking Zone, Is Adjacent slot a parking zone, Is Multi Slot Adjacent Two Vehicle Parking.

7. Parking Slot Occupancy: Parking slot occupancy refers to the state of whether a parking slot is occupied or not. Classifying parking slot occupancy involves the following conditions:

Tracking state, Dwell in camera view (in milliseconds), Time of the day, Day Of The Week, Multi-Vehicle Parking, Main Vehicle Parking Occupancy (percent), Second Vehicle Parking Occupancy (percent), Is A Parking Zone.

8. Toolbox: This condition is used to classify changes in the toolbox. Classifying Toolbox involves the Area condition.

How to add a classifier

Adding classifiers to the KloudInsights platform allows you to categorize and organize data effectively.

1. Login to the KloudInsights platform.
2. Once logged in, locate and click on the “Rules” option in the navigation menu.
3. From the drop-down menu, select “Classifiers.” This action will open the classifier window, displaying the currently available classifiers.
4. To create a new classifier, click on the "+New Classifier" button located at the top right corner of the classifier window.

5. In the “Create or Edit a Classifier” popup window that appears, choose the desired classifier type from the “Type” dropdown list.

6. In the “Name” section, provide a suitable name for the classifier.

7. Specify additional details about the classifier in the “Details” section.

8. Then select the purpose from the drop-down list.

9. If desired, select an icon for the classifier by either clicking on the “Icon” section or dropping an image onto it.

10. Each classifier has its own set of conditions. In the “Conditions” section, choose the relevant condition(s) for your classifier.

11. You can join multiple conditions using logical connectors like “AND,” “OR,” etc.

Example: To create a classifier for people wearing face masks, select “EntryExit” from the “Purpose” dropdown list.

Choose the “AND” connection in the “Condition on presence” section.

Click the “Rule” button to add conditions.

Select the condition “facemask > equal to > True.”

According to this condition, if someone enters with a mask, they will be classified accordingly.

Utilize the information in this classifier by using the dashboard for various purposes.

12. Finally, click on the “Save” button to save the newly created classifier.

Devices & Device Groups

Devices

The Device section within KloudInsights provides a centralized hub for managing devices. This functionality is crucial for creating device-based rules and dashboards. This guide outlines the steps to add, edit, and delete devices efficiently.

Add new devices.

1. Navigate to Devices > Devices.

2. In the window that opens, click on the New Device button.

3. A popup window will appear; enter the following details in the Create tab:

   • MAC address
   • Tags
   • First Name
   • Last Name
   • Email
   • Phone number

4. Navigate to the Icon tab.

5. Optionally, add an icon corresponding to the MAC address.

6. Click on the Location tab and select the relevant location information.

7. Click the Save button to store the device information.

Uploading Multiple MAC Addresses

1. To add multiple MAC addresses simultaneously, create a CSV file containing the MAC address list.

2. Click on the Upload button to refer to the instructions in the popup window to format the CSV file correctly. If you have a pre-existing CSV file, select it and click the Upload button.

3. To download the currently added MAC addresses, click on the Download button.

4. To remove all added devices, click the Delete All button.

Device Groups

The Device Groups feature allows you to organize devices based on a variety of parameters such as MAC address, SSID, and tags. This segmentation enables the creation of device-specific rules as well as dashboards.

Creating Device Groups

1. Navigate to the Devices > Device Groups.

2. Click on the New Device Groups button to begin the process.

3. Choose the type of group based on your criteria:

   • User Group: For grouping devices based on MAC addresses.

   • SSID Group: For grouping devices based on SSID.

   • Tag Group: For grouping devices based on tags.

4. Enter your group name.

5. Add Devices to the Group depending on the group type selected:

6. If User Group is selected: Enter the MAC addresses of the devices to be included in this group.

7. If SSID Group is selected: Choose the relevant SSID for grouping devices.

8. If Tag Group is selected: Select the tags associated with grouping devices.

9. Click the Save button to confirm and save the newly created device group.

Rule Notifications

1. Rule Notifications provide a centralized view of triggered rules within the system. When a rule is activated, users can review the relevant information on the Rule Notification page. This section outlines the steps to access, filter, refresh, and clear Rule Notifications.

2. To access the Rule Notifications page, navigate to Rules > Notifications.

3. The Rule Notification page provides a summary of all triggered rules. The following information is displayed for each rule:

   • Rule Name

   • MAC Address

   • Location

   • Trigger

   • Action

   • TimeStamp

4. To simplify the process of finding specific rules, users can utilize the filter option. Follow these steps to filter rules:

   a. Click on the Show Filter button.

   b. Specify filter criteria for MAC Address, Rule Names, Location, Action, and Date.

   c. Enter the required information.

   d. Click on the Apply Filter button.

5. Users can refresh the Rule Notification page by clicking on the Refresh button.

6. To clear the Rule Notification page and remove all displayed entries, click on the Delete All button.

Creating dashboards

One of the key features of the Kloudspot Analytics platform is the ‘dashboards’ feature, which allows users to gather and present the data they are interested in using a flexible widget-based interface.

This requires integrating KloudInsights with KloudManage. Refer to the section Linking Kloudinsights to Kloudmanage to learn how to do this.

1. To add a new dashboard, click on the New Dashboard button at the bottom of the menu bar.

2. Enter the dashboard name and description in the popup window that opens and click on the Save button.

3. Then click on the Add widget button on the dashboard.

4. In the widget list that opens, Here we are adding a camera widget, but the process is essentially the same for all the widgets. Click on the camera tab, and add the widgets you want.

5. If you want to change the location of the widget, click on the settings button and change the location.

6. Click the Save button to save the location.

7. Refer to the Dashboards section to learn more about the various dashboards available.

Dashboards

Overview

To see the dashboard you made, simply click on “My Dashboard” in the menu. If you’d like to create a new dashboard, check out the Creating Dashboards section for guidance.

Widgets

Kloudspot Analytics offers a wide variety of widgets that users can pick and choose from to create a dashboard.

Analytics (1)

Footfall Density

A floor-by-floor statistical view of device density across a site

Footfall: The total number of devices that enter a physical space or location over a given period of time.

Avarage density is calculated per square area. These are further color-coded based on the density on the area or floormap. In configuration, we can predefine the color code (based on numerical measure) for Avarage density.

Here, density is divided into ranges and on the basis of those ranges, it is given tags like A , B, C , D , E .

Calendar (5)

Bluetooth timeline

This widget is available only for Bluetooth devices.

This widget gives a timeline view of user dwell times at a given location.

We can search for devices (using a Mac address or name) connected via Bluetooth. You can select a date range (duration of 7 days) to monitor and analyze the user engagement in different zones on a site.

User timeline

This widget is available for Wi-Fi devices.

We can search for devices connected via Wi-Fi. You can select a date range (duration of 7 days) to monitor and analyze the user engagement in different zones on a site.

This widget gives the timeline view of user dwell times at a given location.

Here we can add maximum 25 devices.

User Footfall

No. of unique devices seen on the site per day in given period of time for the selected location. This calendar also shows the weather information.

In the settings menu, we have options of selection between 2 devices that are Wi-Fi device and Bluetooth device.

In setting, we also have option “Attributes” selection functionality which basically filters users/ client on the basis of field selected.

User Dwell Time

This shows the Avarage dwell time spent by unique devices on the site per day along with weather information shown in the calendar view.

Here in settings, we have the option of “Dwell type” that has “Average Dwell Time” and “Average Visit Length” (please select one).

Average Visit Length: it shows average of the amount of time user spends in a given location in given time interval divided by Number of times user visit a location in given interval.

In the settings,

• there are options available to select the device type in the settings options, i.e either a Wi-Fi device or a Bluetooth device.
• Option available for “Attributes” selection functionality, which basically filters users or client on the basis of field selected.

User Calendar

This widget gives information about both the “User Footfall” and “User Dwell Time” per day.

This widget shows the calendar view of both “User Footfall” and “User Dwell Time”.

In the settings,

• There are options available to select the device type in the settings option, i.e either WIFI Device or Bluetooth device.
• Option available for “Attributes” selection functionality, which basically filters users or client on the basis of the field selected.

Maps (20)

User Distribution FloorMap With Statistics

The widgets show the users present in different zones on the floormap. It also shows additional data w.r.t the total visitors per day, as shown in figure below.

Live User Heatmap

The presented widget is designed to visualize user footfall and density at a specific location. It includes various options to enhance the user experience and analysis:

• Heat Map: This feature illustrates the density of users on the map, with high-density areas shown in red.

• Zone Capacity: The floor map can be segmented into different zones, allowing users to examine footfall within specific areas.

• Zone Capacity Key: This section provides percentage ranges (A, B, C, D, E, F) along with corresponding colors, representing different levels of user density in the zones.

• Refresh Interval (sec): Users can set a time interval to automatically update the widget’s data, ensuring real-time information on user footfall.

• Include Tags: This filtering option enables users to view footfall data for specific user groups based on tags, such as VIPs, staff, or students.

• Exclude Tags: Similarly, this option allows users to filter out data for certain user groups, providing more focused footfall analysis.

• Floor Switching: In case the location has multiple floors configured, users can easily switch between floors to analyze footfall on different levels of the building.

Overall, this versatile widget provides valuable insights into user footfall and density across the location while offering flexible customization options to cater to various analysis needs.

User TreeMap

In settings, select options for either Wi-Fi device or a Bluetooth device.

The user treemap shows the user count on each zone configured across the floormap and its children on the basis of date we select.

We can see the user count of all divisions if we have more divisions on the floormap.

In settings, we also have the option “Attributes” selection functionality, which basically filters users or client on the basis of the field selected.

User Distribution FloorMap

This is a view of different users present on the floormap based on different parameters available in the search functionality options on this widget like floormap, zones, heat map, access points, connected users, probing users, bluetooth users, geolocated users only, group zone users, exclude passerbys.

In setting, we have option of “Refresh Interval(sec),” which refreshes the widget on the basis of given time interval.

We also have the option of “include tags”, that filters on the basis of some tags and also other option for “exclude tags”, that filters on the basis of the same tags that are in the include tags.

User Counts By Location

In settings, select options for either a Wi-Fi device or a Bluetooth device.

This table shows the number of users seen at every zone on a selected date. You can also select the time range to get more detailed information on the footfall count.

Here are options available for “from date” and “to date” which takes dates input in the range of 7 days for which we want to see the user counts.

The “Filter Zones” dropdown allows us to filter locations for which we want to see user counts. The selection of “hours” gives user counts for particular hour range. However, by default, it gives user counts for whole day (24 hours).

In settings, we also have the option “Attributes” selection functionality, which basically filters users or client on the basis of field selected.

Location Occupancy Chart

The “Location Occupancy Chart” is a representation that provides an overview of the occupancy status of each zone within a specific location. This chart displays the occupancy on an hourly basis as a percentage of the total capacity for each zone, giving users a quick and clear understanding of how full each area is.

Important Features of the Location Occupancy Chart:

• Zones: Each zone within the location is listed on the chart, along with their respective capacities. This information allows users to know the maximum number of users that can be accommodated in each area.

• Occupancy Percentage: The chart shows the current occupancy of each zone as a percentage of its total capacity. This percentage is calculated by dividing the number of current users in the zone by its maximum capacity and then multiplying by 100.

• Color Indicators: To provide a visual cue, the zones may be color-coded based on their occupancy status. For example, 0% indicates with no occupancy, and as percentage increase the color become darker. Making it easy to identify areas that are approaching or have reached their capacity.

By using the Location Occupancy Chart, users can make informed decisions regarding crowd management, resource allocation, and overall safety measures. It allows them to proactively address any potential issues related to overcrowding or underutilization in different zones, ensuring a smooth and optimized experience for all users within the location.

User Distribution Heatmap

This is a user distribution information, where you can view the user movements from one to another throughout the day.

Zone Traffic On Floor Map

This widget shows the user flow/ traffic from one zone to another.

Site Traffic On Geo Map

The widget show the movement of users between different sites. It provides valuable insights into the flow of users from one site to another and allows users to monitor real-time traffic as well as view traffic data for specific dates using the “Live traffic” and “Custom” options.

Features of the Traffic Visualization Widget:

• Traffic Flow between Sites: The widget presents a graphical representation of user traffic, showing the paths users take as they move from one site to another. This flow may be represented as arrows or lines connecting the sites.

• Live Traffic: The “Live traffic” option enables users to view real-time data on user movement between sites. This provides an up-to-date and dynamic view of the current traffic patterns.

• Custom Date Option: The “Custom” option allows users to select a specific date and view the traffic data for that particular day. This feature enables the historical analysis and comparison of traffic trends on different dates.

By using this Traffic Visualization Widget, users can gain valuable insights into user behavior, identify popular routes between sites, and make informed decisions regarding resource allocation and traffic management. The ability to view both real-time and historical data provides a comprehensive understanding of user movement patterns, helping to optimize operations and enhance the overall user experience.

Live User Movements on Floor Map

The live user widget shows the live movement of a user on the entire floormap.

Live User Movements Between Zone

The widgets shows the count of user footfall in each zone on the floormap.

Live User Heatmap On A Floor

Multi Sensor heatmap

The Multi-Sensor HeatMap widget in the side panel is a powerful tool that allows users to gain a comprehensive overview of various environmental and occupancy metrics within a particular area or building. Here’s a breakdown of the features and information provided by the widget:

• Occupancy: This shows the real-time or historical data on the number of people present in the monitored space. It helps in understanding the occupancy patterns and trends.

• Air Quality Index: This displays information about the air quality index within the zone.

• Temperature: This presents the current temperature in the monitored space. Temperature levels can affect comfort and energy efficiency, making it essential to keep track of them.

• Humidity: This indicates the humidity levels in the area. Monitoring humidity is crucial for maintaining a healthy indoor environment and preventing issues like mold growth.

• Illuminance: This refers to the measurement of light intensity in the monitored space. It helps in understanding the lighting conditions and may be important for tasks that require specific lighting levels.

• Meeting Room Availability: This feature shows the availability status of meeting rooms, indicating whether they are vacant or booked. It helps in finding available rooms quickly.

• Top Busy Zone: This heatmap highlights the areas within the space that are most occupied or frequently used. Identifying the most busy zones can aid in space planning and resource allocation.

Sensor Information: This section provides detailed information from individual sensors placed in various locations within the monitored area. The information may include:

• Occupancy: Sensor data on the number of people in specific zones or rooms.

• Dwell Time: The average time people spend in specific areas, helping analyze user behavior and space utilization.

• Users: Information about individuals present in the space, possibly linked to their profiles or devices.

• Room Heatmaps: Visual representations of occupancy patterns and heatmaps for different rooms, indicating popular or less-used areas.

• Temperature and Humidity: Detailed readings of temperature and humidity from individual sensors.

• Illuminance: Specific light intensity measurements from sensors.

Live User Movements

Visualization displays user movements on a floor map in real-time on the basis of different parameters present in the search functionality for this widget, like zones, access points, probing users, Bluetooth users, exclude passerby, show movements, and heatmap.

This widget allows searching for particular user movements on the basis of a Mac address, name or tag.

The widget also consists of an option to “include tags” that filters on the basis of some tags and another

Option, which is “exclude tags” that filters on the basis of same tags that are in include tags.

Live User Path Movements

The live user path movement visualization widget is used for tracking and analyzing user activity on a floor map. It offers various features for customizing and filtering the displayed data. Let’s break down the main features of this widget. You can use filters like Zones, Probing Users, Bluetooth Users, and Exclude Passerby. Also, inside the bar you can filter the user as well.

Site Device Density Map

A consolidated view of device density across a site.

Live User Movements Between Zone Tags

In settings, select options for either a Wi-Fi device or a Bluetooth device.

This is a real-time visualization of user movement (in percentage) between zone tags on a selected location. Here we give some custom tags on zones and can view the user’s movements.

In this widget, we have the search filter “Filter Zones By Tags” and “Display Metric”.

Last Known Location on FloorMap

Locate any wi-fi or bluetooth device by displaying the last known location on a floormap.

Here, we have “search user” functionality that allows to search a user by its name or just entering Mac address of the device to be looked for on the floormap.

Floormap Device Density

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A consolidated view of device density on a floormap

Dwell Time Map

This widget displays a map that shows users according to their dwell time on the basis of time intervals and shows the users on the map with different colours on the basis the given time intervals.

Dwell time is the amount of time that user spends in a particular location.

Allows you to select from “Map” view or “Satellite” view and in “Duration” we can select the options like “Today”, “Yesterday” and “Custom” to show users data accordingly. In “Custom” we can select date range (max upto 7 days) for users.

On filling in all the required details, click on “load users” which gives all users according to given time interval on the widget and on selected fields.

Matrix (2)

Multi-day Location Counts

Tabular representation of user distribution in different zones for the selected date range.

Others (7)

RSS Feed

Add any RSS Feed to your dashboard with ease.

Site Reporting Dashboard

Site Reporting Dashboard with Key Elements

Rule Alarm

Display an alarm when a specified rule is triggered.

Cisco meraki Logs

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List of the each access points logs

Webpage

Add any external gadget/webpage to your dashboard with ease

Cisco Meraki clients details

List of the connected client devices for a specific network based on the SSID that was chosen.

KPI

Display a list of KPIs for selected zones.

Path (7)

Path Distribution

Outbound User Traffic Flow

Path Distribution Matrix

Inter-Site Path Distribution

Inbound User Traffic Flow

Inbound User Traffic Flow

Outbound User Traffic Flow

Time (3)

Dwell Time Chart

Dwell time information for each zone on the site.

Dwell Time Chart By Attribute

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A bar chart that displays a distribution of all the venues with respective user dwell times.

Live Floor/Site Device Density

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A Live Streaming Density of given Floor/Site

User (12)

Multi-Location Repeat Users

Zone wise user count information for the selected date range and zones.

User Overview

Select a zone for information on the Connected users and Probing users.

User 360

Every detail about the specific user registered in the system.

Heap Map

For a zone, shows the footfall in for every hour for the last 7 days. The color code represents, darker the color, higher usercount.

User Details

Based on the users type selected, here, ‘Probing users’. Select a user to see it’s more details like days seen, Last seen and the session summary as shown in figure below.

User counts by presence attributes

This bar graph is a combined information of the probing users and associated users in a zone for the selected time period.

Bluetooth Device Details

Similar to user details, shows summary of selected user.

User Demographics

More detailed information of the user such as contact details, login details, etc as shown in figure below.

Inter-Site User Movements

Probing/Associated Users Chart

Graphical representation of the probing and associated users for a specific zone.

Repeat Users

Graphical representation of the no. of repeated users in each zone.

Queue Wait Times

Coming Soon!

Camera (14)

Gender Demographics Calendar

This widget provides businesses with a calendar view of user gender data as detected by cameras at a given location. By analyzing this data, businesses can gain insights into the gender distribution of their customers and adjust their marketing strategies accordingly.

Live User Heatmap From Camera On Floor Map

The widget produces a heatmap that illustrates the density of people in a specific region, with darker colors indicating higher density and lighter colors indicating lower density. The heatmap is updated in real-time, and the widget also offers historical data. If desired, it is possible to obtain an animated representation as well.

Note: To get this, an ROI (region of interest) needs to be drawn at the point where the camera is added. Refer to the insights user manual to know how to draw it.

Inbound Entity Traffic Flow

1. The “Inbound Entity Traffic Flow” widget is a powerful tool for visualizing the flow of entities from different zones into a specific zone. This widget generates a flow chart that illustrates the movement of entities, such as people, or vehicles, from their origin zones to selected zone.

2. Select Entity Type from the dropdown list then select Zones, Depth, and Date.

Path Distribution

The Path Distribution widget provides businesses with a chord diagram to visualize the most common paths taken by users from and to any given location. By analyzing this data, businesses can optimize product placements and signage to increase sales.

Path Distribution Matrix

This widget shows the movement of an entity from one zone to another in the form of a square chart and displays the entity count.

Outbound Entity Traffic Flow

The “Outbound Entity Traffic Flow” widget is a powerful tool for visualizing the flow of entities from one specific zone to another zones. This widget creates a flow chart depicting the movement of entities such as people, or vehicles from a selected zone to another zone.

Camera Footfall Calendar

The Camera Footfall Calendar provides businesses with a calendar view of user footfall at a given location. By analyzing this data, businesses can identify peak traffic times and optimize staffing schedules accordingly.

Live User Movements From Camera On Floor Map

The Live User Movements From Camera On Floor Map widget displays a visualization of user movements on a floor map in real-time. This widget can help businesses optimize store layouts and staffing schedules to ensure that customers have a positive shopping experience.

Camera Footfall Analytics

The Camera Footfall Analytics widget is a robust tool for businesses that captures data on entry/exit count, and occupancy. The widget also generates a bar chart that displays footfall information. You can select different cameras from the dropdown list.

Live Video Stream with Analytics

The Live Video Stream with Analytics widget displays analytics from a selected camera. It captures data on entry, exit, and occupancy, and providing insights into how many people are entering and leaving a specific location, as well as how many people are in the area at any given time.

Camera Characteristics Trends

The Camera Characteristics Trend widget is a powerful tool for businesses and organizations looking to better understand the demographics of their customer base or audience. By selecting specific demographic categories such as male, female, mask, no mask, smile, or angry, the widget will generate a line chart that displays trends in those characteristics over time.

Note: If you choose additional demographic categories, the X-axis will expand to accommodate them.

Live Video Stream

The Live Video Stream widget displays a smooth live video stream from a selected camera. This widget can help businesses monitor customer behavior in real-time and make adjustments to their operations as needed.

Live Video Stream with Heatmap

The Live Video Stream with Heatmap widget displays a live video stream and heatmap from a selected camera. This widget can help businesses monitor customer behavior in real-time and make adjustments to their operations as needed.

Camera Demographics Trends

The Camera Demographics Trends widget displays a timeseries chart showing the trend of user demographics and camera feature analytics over a given time period. This widget can help businesses identify trends and make data-driven decisions.

Camera Occupancy Trends Over Time

This widget is a powerful tool that uses data from Kloudvision cameras to track the occupancy levels of a queue over a given period of time. This widget provides valuable insights about the overall efficiency of the queue management system.

Live Camera Count Heat Map

The Live Camera Count Heat Map widget is a powerful tool that uses Kloudvision cameras to display the total number of people in a zone. This shows how many people were in a zone in the form of a heat map.

Live User Heatmap On A Floor Camera Image

The Live User Heatmap On A Floor Camera Image widget displays a visualization of user movements on a camera image in real-time displayed in the form of a heatmap. This widget can help businesses optimize store layouts and signage to increase sales.

Entity Demographics

Entity Demographics widget provides a visualization of the distribution of entities at a given location, including a brief summary of each entity’s information. This widget can help businesses gain insights into the demographics of their customers and adjust their marketing strategies accordingly.

Outbound User Traffic Flow

The “Outbound User Traffic Flow” widget is a powerful tool for visualizing the flow of entities from one specific zone to another zones. This widget creates a dot chart depicting the movement of entities such as people, or vehicles from a selected zone to another zone.

Inbound User Traffic Flow

1. The “Inbound User Traffic Flow” widget is a powerful tool for visualizing the flow of entities from different zones into a specific zone. This widget generates a dot chart that illustrates the movement of entities, such as people, or vehicles, from their origin zones to selected zone.

2. Select Entity Type from the dropdown list then select Zones, Depth, and Date.

Environmental Sensors (1)

Environmental Sensor Trends

A timeseries chart displaying a trend of air quality measurements of an environmental sensor in a given time period

Reports

Overview

The reporting system allows report creation jobs to be scheduled for regular execution with the results emailed to a set of recipients, and also has a file transfer feature.

Reports display the essential findings of the platform in human-readable manner. Reports can also be exported and printed for further use.

To generate a report, click on Report in the left-hand side menu.

To find out the types of reports generated, click on Report Types under Reports.

Report Types

To generate a report, click on the Play button to the right of the specific report type. We can run and generate the custom reports even by uploading report definitions in the format of json or yaml by clicking on the bottom left.

Select the parameters (e.g. Site ) under Report Parameters tab.

Click on Run Report to generate the report.

To find the history of generated reports, simply click on History under Reports.

History

You can download the report by clicking the download button to the right of the specific report. The report is downloaded in the PDF format. A sample report is below:

You can also delete a specific report by clicking the delete button to the right of the specific report.

Generating reports can be automated by scheduling them. To schedule a report, click on Scheduled under the Report section.

Scheduled

To schedule a new report, click on + New Report in the top right of the page.

Enter the description of the report in Description field.

To enter the recipient’s details, click on Recipients.

• Enter the email address (where the report will be sent) in the Email Recipients section.
• Select the files to be sent in File Transfer.

To customize the schedule settings, go to the Schedule tab.

You can configure to run a report on weekly and monthly basis under Run Report.
Alternatively, you can also schedule your reports to run on specific weekdays. Simply check the boxes adjacent to the days when you want the report to run.
Specify the time when the report will run in the time section.

Report types

We have various report types within Insights currently shipped by default with the system.

Below is a list of all the report types and the sample report for each.

Bluetooth Usage Report:

(for Bluetooth devices only)

This report contains details of devices connected via Bluetooth for the selected date range and locations.

This report contains the details of devices connected via Bluetooth for the selected locations and date range.

The report can be exported in CSV format. A sample Bluetooth Usage Report looks like:

Select ‘run report’ and fill in the details below to run this report.

To run a report:

• Click on the play button at the right end of the report row.
• A pop-up appears.

• Select the locations in the Locations dropdown.
• Choose the period for which the report is generated by selecting DATERANGE i.e. f rom and t o- dates .
• Check the TAGGED box if you want to run a tagged report.
• Click on Run Report to generate the report.

Devices by day

(for Wi-Fi devices only)

This report contains the information of wi-fi devices seen for the selected dates in CSV format.

To run a report:

• Click on the play button at the right end of the report row.
• A pop-up appears.
• Check the Date Range under Report Parameters.
• Select f rom and t o- dates.
• To include only the data for known devices, check the KnownDevicesOnly.
• Click on Run Report to generate the report.

Here is how a sample report looks like.

Devices Daily History

( for WiFi devices only )

This report generates a CSV containing information about device history by day for selected locations and a date range.

To run a report:

• Click on the play button at the right end of the report row.
• A pop-up appears.
• Check the Date Range under Report Parameters.
• Select the starting time of the day in the START OF THE DAY section.
• Select the locations by clicking on the drop-down menu under LOCATIONS.
• Click on Run Report to generate the report.

Here is how a sample report looks like.

Devices in specific time and location

( for Wi-Fi devices only )

This report generates a CSV containing information of devices seen by day for a date range and time on a selected site.

To run a report:

• Click on the play button at the right end of the report row.
• A pop-up appears.
• To select the date range for which the report is needed, enter the From and To dates under Report Parameters.
• To get the report for only the registered users, check the box next to Registered User.
• To get the report for only the known devices, check the box next to Known Devices Only.
• Select the location by clicking at the drop-down menu below Locations.
• To get the report for users with email, check the box next to User With Email.
• Click on Run Report to generate the report.

Here is how a sample report looks like.

Footfall and dwell

( For WiFi devices only )

This report will generate a CSV containing information of footfall and dwell of devices for selected locations on a daily and an hourly basis.

To run a report:

• Click on the play button at the right end of the report row.
• A pop-up appears.
• Select the location from the the drop-down options below LOCATIONS under Report Parameters.
• To show the dwell report, check the box adjacent to SHOWDWELL.
• Check the box before Select Date Range. Enter the date range by choosing the From and To dates below DATERANGE.
• Select the tags that the report should include by choosing from the drop-down menu under INCLUDETAGS.
• Select the tags that the report should exclude by choosing from the drop-down menu under EXCLUDETAGS.
• Click on Run Report to generate the report.

Here is how a sample report looks like.

Footfall and dwell by day

Footfall and dwell by hour

Highs and lows by footfall and dwell

( For WiFi devices only )

Report of locations having highest and lowest footfall and dwell based on the selected zone limit.

The following figure is a sample of the 4 different types of reports generated as follows:

Bottom zones of the day by dwell

Bottom zones of the day by footfall

Top zones of the day by dwell

Top zones of the day by footfall

Monthly site report

(For WiFi devices only)

This report contains Information about the selected site for the entire month.

To run a report:

• Click on the play button at the right end of the report row.
• A pop-up appears.
• Select the site for the monthly report by clicking on the drop-down menu under Report Parameters.
• Click on Run Report to generate the report.

Here is how a sample report looks like.

Movement CSV report

(For WiFi devices only)

This report contains a report showing top movements into and out of zones for a list of selected zones.

To run a report:

• Click on the play button at the right end of the report row.

• A pop-up appears.

• Check the Select Date box under Report Parameters to enable selecting the date. Choose the date by

  1. clicking at the calendar icon, or
  2. Entering the date manually in YYYY-MM-DD format.

• Click on Run Report to generate the report.

Here is how a sample report looks like.

Movement CSV report- 30 minutes

(For WiFi devices only)

This report contains a report showing top movements into and out of zone for a list of zones every 30 minutes.

Sample Movement CSV report for 30 minutes: Need to attach figure below showing a sample Movement CSV report.

Image…

Movement report

(For WiFi devices only)

This report contains the PDF Report showing top movements into and out of zones for a list of selected zones.

To run a report:

• Click on the play button at the right end of the report row.

• A pop-up appears.

• Select the type of report by clicking at the Report Template drop-down options.

• Select the locations for which the report is to be generated by clicking at the LOCATIONS drop-down menu.

• Select the date range under Report Parameters by

  1. Clicking on the calendar icon, or
  2. Entering the date manually in YYYY-MM-DD format.

• Click on Run Report to generate the report.

Here is how a sample report looks like.

Overview Report

(For WiFi devices only)

This report contains a Report showing device information for the selected day and the previous week.

To run a report:

• Click on the play button at the right end of the report row.

• A pop-up appears.

• Select the type of report by clicking on the Report Template drop-down options.

• Select the locations for which the report is to be generated by clicking at the LOCATIONS drop-down menu.

• If you want to generate the report for each location, check Each Location under Report Parameter.

• Choose the date of the report under Report Date by

  1. Clicking at the calendar icon, or
  2. Entering the date manually in YYYY-MM-DD format.

• Click on Run Report to generate the report.

Sample Overview report

The figure below shows a sample overview report in a PDF format.

Overview (previous day)

(For Wi-Fi devices only)

This report shows device information for the previous day and week.

To run a report:

• Click on the play button at the right end of the report row.
• A pop-up appears.
• Click on Run Report to generate the report.

Sample Overview report: The device information for this report is the same as the Overview report, except that it has Overview information for the previous day.

Overview and Social

(For Wi-Fi devices only)

Report showing overview of user and social data for the selected day and the previous week.

To run a report:

• Click on the play button at the right end of the report row.

• A pop-up appears.

• Select the desired template from the drop-down options below Report Template.

• Select the locations for which the report is to be generated by clicking at the LOCATIONS drop-down menu.

• If you want to generate the report for each location, check Each Location under Report Parameter.

• Select the tags that the report should include by choosing from the drop-down menu under INCLUDETAGS.

• Select the tags that the report should exclude by choosing from the drop-down menu under EXCLUDETAGS.

• Choose the date of the report under Report Date by

  1. clicking at the calendar icon, or
  2. Entering the date manually in YYYY-MM-DD format.

• Click on Run Report to generate the report.

Sample Overview and Social Report: The figure below shows a sample Overview and Social Report in a PDF format, there are different reports generated for various zones within the site. Following is a sample report in pdf format.

Overview- Period

(For WiFi devices only)

This report contains the Reports showing overview of device and user data for the selected period.

To run a report:

• Click on the play button at the right end of the report row.
• A pop-up appears.
• Click on Run Report to generate the report.

Sample Overview-Period Report: The report for Overview-period report in a PDF format is same as that of the ‘Overview’ report as shown above.

Other Information

The other information section provides valuable insights into areas such as the audit log system and the overall health status of KloudInsights.

Table of content

• Audit Logs
• Logging
• System Health

Face Recognition System (FRS)

Overview

The Face Recognition System (FRS) is a powerful feature integrated with KloudVision that enables seamless entry and exit to premises using facial recognition technology. This document provides an overview of the registration and instructions on how to customize and utilize it effectively within your system. It consists of six key steps that ensure optimal performance and functionality.

Step 1: Configure FRS Camera

Before setting up the Facial Recognition System (FRS) in KloudInsights, it’s essential to configure the camera intended for FRS integration. This process is facilitated through KloudVision, enabling seamless setup and alignment of your chosen camera for optimal FRS functionality.

Step 2: Customize FRS Workspace Settings to Suit Your Needs

To make the FRS align with your specific requirements, it is essential to customize the workspace settings. This step allows you to configure various options and features, tailoring the system to your desired specifications. By accessing the FRS workspace settings, you can enable or disable specific functionalities.

Step 3: User Management and Invitation

Efficient user management is critical for the smooth operation of the FRS. This step provides instructions on how to manage users effectively and send invitations for FRS registration. Additionally, the document explains two methods for user invitation: Bulk FRS Registration: This method allows you to send registration links to multiple users simultaneously. It is particularly useful when onboarding a large number of users. Individual User Invitation: With this method, you can send personalized invitation links to specific individuals, enabling a more targeted approach to user registration.

Step 4: Face Registration Process for Users

At this stage, users have the opportunity to register their faces using the unique link received in the email invitation. Following the instructions provided, users can seamlessly provide the necessary images for registration. By adhering to these instructions, users can ensure the successful enrollment of their facial data, enabling a smooth and reliable check-in and check-out process within the system.

Step 5: Human Management

As users successfully complete their registration in the FRS (Facial Recognition System), they are automatically added to the Human section. This section serves as a comprehensive repository of all registered users, providing essential information about each individual, including their identity, first name, last name, email ID, tags, namespace, image, ID image, and status.

Step 6: User Check-in and Check-out

During this stage, when a user enters or exits a designated location, their face is automatically detected and matched with the entries in the FRS database. The system records the exact entry and exit times for each user, ensuring accurate check-in and check-out data is maintained. This seamless process not only enhances security measures but also enables efficient monitoring and management of user movements within the specified area.

Step 7: Tracking Check-In and Check-Out Status with the Widget

To efficiently monitor the check-in and check-out activities of users, the FRS provides a widget that displays summarized information. This step guides you on how to utilize the widget effectively. By using the widget, you can track the real-time status of users, view their check-in and check-out times, and quickly identify any discrepancies or unusual patterns. The widget serves as a convenient tool for monitoring and managing user activity, ensuring the smooth operation of the FRS.

To know the camera specifications suitable for face recognition, refer to the System Requirements document.

Step 1: Configure FRS Camera

1. Facial Recognition System (FRS) functionality within KloudInsights requires configuration of the FRS cameras.

2. If you’re already a KloudVision user, proceed to log in using your credentials.

3. If you do not have KloudVision access, contact Kloudspot’s support team to obtain the necessary access credentials.

4. Once logged into KloudVision, refer to the FRS configuration document. This document provides detailed instructions on configure the FRS cameras.

Step 2: Customize FRS Workspace Settings to Suit Your Needs

Note: To proceed with these steps, make sure you have access to your KloudInsights account.

1. Log in to your KloudInsights account using your credentials.

2. Once logged in, navigate to the Configuration menu. You can find it in the menu bar of the KloudInsights dashboard.

3. From the Configuration menu, select “FRS Settings.” This will open the FRS Workspace Settings page.

4. On the FRS Settings page, you will see a General Settings section. This section contains six customizable options. Let’s go through each option:

   a. Approval needed for Employee Registrations: Enable this option if you want the admin to approve newly registered employees before activating their face ID. If this option is disabled, employee registrations will be automatically activated.

   b. Approval needed for Guest Registrations: Enable this option if you want the admin to approve newly registered guests before activating their face ID. If this option is disabled, guest registrations will be automatically activated.

   c. ID Card upload needed: If you enable this option, registered users will be prompted to upload their ID card during the face registration process. Face registration will only be activated if the user provides the ID card.

   d. Auto check-in: Enable this option if you want registered users to be able to check in to a premise using their face without any physical contact. Enabling this feature allows for a touchless check-in process.

   e. Send FRS Self-Registration email for new users: By enabling this option, the FRS Self-Registration email will be automatically sent to newly added users. This email contains instructions and a registration link for users to complete their face registration process.

   f. Send Notifications on Face Match: Enabling this option allows you to receive notifications whenever there is a face match in the FRS. This can help you stay informed about potential security events or user activities. Provide the email address in the corresponding field where you want to receive these notifications.

5. After configuring the desired settings, click on the “Save” button to save the changes you made to the FRS Workspace Settings.

Step 3: User Management and Invitation

Note: Before proceeding, ensure that you have configured the FRS Workspace Settings as per your requirements.

1. Log in to your KloudInsights account.

2. From the menu bar, go to Configuration and select “Users”. This will redirect you to the User Management page.

3. On the User Management page, you have two options to send the FRS registration links: Bulk FRS Registration and Individual User Invitation.

a. Bulk FRS Registration:

1. Locate the “Bulk FRS Registration” option on the User Management page.

2. Click on the option to initiate the process of sending invitation links to all users simultaneously.

3. This method is useful when you want to send registration links to multiple users at once.

b. Individual User Invitation:

1. On the User Management page, find the user whom you want to invite for FRS registration.

2. Locate the FRS registration icon (usually represented by a human symbol) located on the left side of the user’s profile.

3. Click on the FRS registration icon to access the individual user invitation option.

4. This method allows you to send personalized invitation links to specific individuals.

Step 4: Face Registration Process for Users

By following below steps, users can successfully complete the face registration process. The provided information and captured images will be used for check-in and Check-out purposes within the system. This enhances the accuracy and reliability of the face recognition system.

Note: Users should have received an invitation email with a registration link before proceeding with the face registration process.

1. Once users receive the invitation email with the registration link, they should click on the provided link. This will redirect them to the registration page.

2. On the registration page, users need to provide their personal details. Typically, this includes entering their name and any additional information specified by the system. Fill in the required fields accordingly.

3. Users may also have the option to add tags that describe their profile or interests. This is an optional step to enhance their profile information.

4. After providing the required information, users can proceed to the next step by clicking on the “Next” button.

5. In the registration process, users may be prompted to capture a series of pictures for further verification or identification purposes. Look for a camera icon or similar indication.

6. Click on the camera icon to initiate the image capture process. Users should take 5 pictures of good quality, ensuring clear and well-lit images.

7. Once the user has given the images as per the given instructions, they can proceed to the next step by clicking on the “Next” button.

8. To finalize their registration, users should click on the “Submit” button.

Step 5: Human Management

As users successfully complete their FRS (Facial Recognition System) registration, they are added to the Human section. The Human page serves as a comprehensive repository of registered users, providing essential information about each individual. This includes their identity, first name, last name, email ID, tags, namespace, image, ID image, and status. The Human section plays a vital role in maintaining and organizing user profiles within the FRS. By accessing this page, administrators can effectively manage and monitor registered users, ensuring accurate identification and facilitating seamless interactions within the system.

Human Activation and Deactivation

1. To activate a user, navigate to “Human” page from the KloudInsights application.

2. Then, find the corresponding user in the list and click on the Activate button.

3. To deactivate a user, find the corresponding user in the list and click on the deactivate button.

4. Activation grants access to the system and its functionalities, while deactivation temporarily restricts access.

Add a New Human

1. An admin can manually register a user’s face other than through the registration link.

2. Navigate to the Human page within the KloudInsights.

3. On the Human page, locate the “New Human” button and click on it. This will open the “Create or edit a Human” popup window.

4. In the “Create or edit a Human” window, provide the necessary information about the new user. This typically includes identity details, such as first name, last name, and email ID. Fill in the required fields accordingly.

5. Next, you need to upload images of the user’s face. Click on the “Upload Image” button within the “Create or edit a Human” window. This will open a file selection dialog.

6. Select the images you want to upload for the user’s face. It is recommended to capture images from at least five different angles to ensure accurate facial recognition. These angles may include front-facing, left profile, right profile, top, and bottom views.

7. Once you have selected the images, click on the “Save” button to save the new human profile with the associated images.

8. The system will process the uploaded images and add the new human to the FRS database. The user will now be available for identification and verification through facial recognition.

Human Bulk Upload

This section provides detailed steps to efficiently perform a bulk upload of human profiles in the FRS (Facial Recognition System). This feature streamlines the registration of multiple users, enhancing the effectiveness of the FRS within your system. The process consists of three main steps.

Step 1: Collect the User Image

1. Before initiating the bulk upload process, ensure you have images of individuals from five different angles for accurate facial recognition.

2. Save these images in separate folders, with each folder containing images of a specific person. Consider naming each folder according to the person added to it (e.g., name of the user, email ID, employee ID, etc.).

3. Create a common folder where you will consolidate these individual folders.

Step 2: Upload Images to FRS Human Page

1. Log in to your KloudInsights account and navigate to the Humans page.

2. On the Humans page, locate the “Upload” button and click on it to open the “Upload Images” popup window.

3. In the “Upload Images” popup window, click on the “Choose file” button and navigate to the common folder where you have saved the individual image folders.

4. Select the common folder, which contains the individual folders named after the respective individuals.

5. In addition to image upload, provide additional details for the bulk upload. Select the appropriate “namespace” and “tag” that you want to assign to the uploaded human profiles.

6. In the “Type” field, select the “Known Humans” option to indicate that these individuals are already known, and their profiles should be created based on the uploaded images.

7. Click on the “Upload” button to initiate the bulk upload process. The system will process the images and create individual human profiles.

Step 3: Upload a CSV File with Information

1. After adding the required images to FRS, proceed to upload the CSV file containing additional metadata.

2. Click on the “Upload CSV” button from the Humans page. In the Upload Metadata popup window that opens, click the “Download a sample CSV” button to download the sample CSV file.

3. Populate the CSV file with the required information:

   a. Add first name, last name, full name, email Address, tags, and namespace in their respective columns.

   b. Enter the unique folder name (where the user’s image has been added) in the identity column.

4. Save this CSV file. Upload the CSV file by clicking the “Choose File” button in the Upload Metadata popup window.

5. The information provided in the CSV file will be associated with the uploaded images.

6. The FRS will utilize this information for recognition. When individuals in the uploaded images are detected by the camera, their entry and exit will be recorded.

Step 6: User Check-in and Check-out

There are three methods available for users to perform check-in and check-out. To know the camera specifications suitable for face recognition, refer to the System Requirements document.

1. Check-in and check-out using the kiosk.

2. Check-in and check-out using the camera.

3. Seamless entry and exit.

Check-in and check-out using the kiosk.

Note: Ensure that the kiosk or tablet is properly set up and connected to the FRS system before proceeding with the check-in and check-out process.

1. Position the kiosk or tablet at the entry gate where users will perform the check-in and check-out process.

2. Prompt the user to stand in front of the kiosk or tablet, ensuring that their face is properly positioned within the camera’s view.

3. The FRS system will automatically scan the user’s face and compare it with the faces in the FRS database to find a match.

4. If the user’s face matches a face in the FRS database, it indicates a successful match, and the check-in process can proceed. If there is no match, the user may not be registered in the system or may need further verification.

5. To perform the check-in process, instruct the user to tap on the check-in button displayed on the kiosk or tablet’s interface.

6. Once the user taps the check-in button, the system will record the check-in time and update the user’s check-in status accordingly.

7. For the check-out process, instruct the user to tap on the check-out button displayed on the kiosk or tablet’s interface.

8. When the user taps the check-out button, the system will record the check-out time and update the user’s check-out status accordingly.

Check-in and check-out using the camera.

Users can easily perform check-in and check-out using a camera installed at the entry gate, integrated with the FRS.

1. Install the camera at the entry gate in a position that allows it to capture the faces of users as they approach.

2. Ensure that the camera is connected to the FRS system and properly configured to perform facial recognition.

3. When a user comes in front of the camera, the camera will automatically scan their face.

4. The FRS system will compare the scanned face with the faces stored in the FRS database to find a match.

5. If the user’s face matches a face in the FRS database, it indicates a successful match, and the check-in process can proceed. If there is no match, the user may not be registered in the system or may need further verification.

6. If an auto-open door or other security system is installed, it can be triggered at this point to allow access for the checked-in user.

7. The FRS system will record the check-in time and update the user’s check-in status accordingly in the system.

8. Similarly, for the check-out process, instruct the user to approach the camera again to have their face scanned.

9. Once the user’s face has been scanned, the FRS system will compare it with the faces stored in the FRS database to find a match.

10. The FRS system will record the check-out time and update the user’s check-out status accordingly in the system.

Seamless entry and exit.

Users can achieve seamless entry and exit using cameras placed at the entry gate and exit gate.

1. Place cameras at both the entry gate and exit gate in positions that allow users to capture their faces as they approach.

2. Ensure that the cameras are connected to the FRS system and properly configured for facial recognition.

3. As a user approaches the entry gate, the camera placed there will automatically scan their face.

4. The FRS system will compare the scanned face with the faces stored in the FRS database to find a match.

5. If the user’s face matches a face in the FRS database, it indicates a successful match, and the check-in process can continue.

6. In this case, there is no need for a security check or any other obstacles. The user can check in seamlessly.

7. The FRS system will record the check-in time and update the user’s check-in status accordingly in the system.

8. Similarly, when the user approaches the exit gate, the camera placed at the exit gate will automatically scan their face.

9. The FRS system will compare the scanned face with the faces stored in the FRS database to find a match.

10. If a match is found, it indicates a successful match for check-out.

11. The FRS system will record the check-out time and update the user’s check-out status accordingly in the system.

Step 7: Tracking Check-In and Check-Out Status with the Widget

To efficiently monitor and view the check-in and check-out status of all users, a dedicated widget is available. The widget offers a convenient and summarized display of users’ check-in and check-out information. Below is an example of how the widget might appear:

For guidance on creating a dashboard and adding a widget to it, refer to the “Creating Dashboards” document.

The widget showcases essential details, such as usernames, identity, direction, Time, and location. With this simplified presentation, administrators can easily track user movements and identify any anomalies or discrepancies.

KloudBot

KloudBot, the latest addition to our suite of tools, revolutionizes how you access and interact with Kloudspot’s advanced analytics and insights. Seamlessly integrated with Microsoft Teams, KloudBot brings real-time information about device locations, points of interest, footfall summaries, and dwell time directly to your fingertips. Whether you’re a team manager, project overseer, or simply need to stay in the loop with your organization’s operations, KloudBot empowers you to make informed decisions swiftly and efficiently. Discover a new level of efficiency and clarity in your workflows with KloudBot.

Table of content

• KloudBot Configuration
• KloudBot User Guide