Wellness Dashboard | Managing and Analyzing Data Using Wellness-Related Technologies
The wellness dashboard attempts to centrally manage and analyze data from connected IoT wellness related technologies. The objective of the dashboard is to provide the end users of such technologies a single platform to centrally manage connected devices, view real time or historical metric data, and respond to alerts.
Background
Tesser Insights, in collaboration with Faith Group, partnered with one of the busiest airports in the world to develop a dashboard-style interface for central management and metric reporting of wellness-based technologies.These technologies include devices such as thermal screening cameras, sanitation monitors, autonomous cleaning products, social distancing or contact tracing analytics, occupancy/crowd sensors, and so on.
In this case study, we offer a survey of the wellness dashboard from a purely functional perspective. The first phase of the overall program involved a variety of functional components. One of the primary components is the central management, which is a module that displays each connected device, such as the thermal camera, IoT object, sensor and so on. For example, the module features icons that represent online/offline status, and a provision to view the time of last check-in. Further, when a device is selected in this module, detailed information about the device is displayed. These details include the device type, location, product version, serial numbers, firmware version and the IP address, among other things. The devices can be added, removed and updated from the dashboard. Finally, the dashboard also features a graphic map that displays device locations on a real-time map across any environment, such as campus, or a city.
Another unique component of the dashboard is the alarm. This module displays new alarms from devices that have not been viewed or acknowledged. On selection of an alarm, one can view a snapshot or a video of the event that triggered the alarm, if available. Additionally, upon viewing or acknowledging an alarm, the alarm will be marked as acknowledged and/or automatically moved to an archive module. This module also presents the option to search previous alarms with multiple criteria, such as time, date, and description.
A third module of the dashboard is the metrics feature, which shows the metric data for corresponding thermal screening. This includes graphs of hourly throughput (individuals screened per hour), graph of temperatures detected throughout the day, graph of hourly average body temperature and ambient temperature, and graph of true and false positive detections based on secondary screening data. The user will be enabled to easily create or customize these modules. The user may choose available data from a drop-down list/selection boxes, and choose the period based on their preferred day, week, or month. The user will also have the ability to change the style of the graph.
The final distinctive module of the wellness dashboard is the reports module, which allows the user to generate custom reports, such as daily reports of the number of individuals that passed through a screening area, and the daily report of the number of elevated body temperatures (EBT) detected. These reports can be exported in common formats and can be generated manually or automatically on a scheduled basis and sent to users via email and text.
The wellness dashboard is currently in the proof-of-concept stage and is presently being modelled to suit the requirements of a national defence service that approached Tesser Insights with a similar proposal.
