Nokia Announces Analytics-Based Thermal Detection Solution

By Tiera Oliver

Associate Editor

Embedded Computing Design

October 15, 2020


The technology uses an open architecture and has a suite of analytics with a set of automation workflows and rules to adapt the solution to each enterprise's needs.

Nokia announced an automated, zero-touch 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 is designed to streamline and automate the process of identifying people with elevated temperatures and confirm 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 is also designed to reduce 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 set of automation workflows and rules to adapt the solution to each enterprise’s needs. The company has 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 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 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 environments with thousands of people and multiple access points.

Pop-up, connectionless outdoor test centers have been a common way to complete COVID-19 testing. Nokia can leverage its Nokia Digital Automation Cloud private wireless network solution to provide seamless outdoor connectivity for these operations.

Once concerns about COVID-19 subside, organizations can repurpose the solution to support other use cases to protect employees, site visitors and facilities, including predictive surveillance and machine maintenance, security threats and anomaly detection, and customized industry-

For more information, visit:  

Tiera Oliver, Associate Editor for Embedded Computing Design, is responsible for web content edits, product news, and constructing stories. She also assists with newsletter updates as well as contributing and editing content for ECD podcasts and the ECD YouTube channel. Before working at ECD, Tiera graduated from Northern Arizona University where she received her B.S. in journalism and political science and worked as a news reporter for the university’s student led newspaper, The Lumberjack.

More from Tiera