Nokia Delivers Analytics-Based Thermal Detection Solution to Fight COVID-19

By Larry O'Brien

Category:
Company and Product News

Nokia announced an automated, zero-touch elevated temperature detection solution designed to help spot potential COVID-19 infections in facilities with thousands of people.  The Nokia Automated Analytics Solution for Access Control streamlines and fully automates the process of identifying people with elevated temperatures and confirms mask compliance, in large environments with multiple accesses.

Leveraging advanced analytics, a business rules engine, centralized management, machine learning and ubiquitous connectivity, the Nokia solution reduces the cost of detection and ensures business continuity and supply chain resilience during the pandemic.  Organizations can also expand the solution to support other ongoing use cases to protect employees and building assets, including predictive surveillance, machine maintenance and security threats.

The technology uses an open architecture and has a suite of analytics with a flexible set of automation workflows and rules to adapt the solution to each enterprise’s needs.  The company has successfully deployed the solution at multiple locations, including its own Chennai factory to monitor employee safety and plans to deploy the solution for enterprise customers across multiple industry segments.

The Nokia Automated Analytic Solution uses a thermal camera to capture video footage and takes individual temperature readings (accurate to +/- 0.3 degrees Celsius) for every person that enters the screening site.  The analytics engine quickly processes the video clip to determine whether the individuals require additional screening or are not complying with mask-wearing rules.  Through its centralized management approach, the solution triggers an institution’s chosen operational workflow.  If an irregularity is detected, a centralized, enterprise-wide view is presented, and a real-time SMS or email alert is automatically sent to personnel in the field to initiate track-and-trace or post-detection actions.  The entire process takes place in near-real time and the human-less operation enables scaling to very large environments with thousands of people and multiple access points.

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