Nokia Advances Fight Against COVID-19 With Analytics-Based Thermal Detection Solution

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.

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Leveraging advanced analytics, a business rules engine, centralized management, machine learning and ubiquitous connectivity, the Nokia solution dramatically 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.

Amit Shah, head of Analytics and IoT for Nokia, said: “Whether in factories, ports, offices, airports, schools, or outdoor screening centers, mission-critical networks and digital automation solutions play a leading role in ensuring supply resilience, business continuity, and workers’ safety in real-time. Our Nokia Automated Analytics Solution brings centralized data, analytics, and an automation management system, allowing large organizations to make intelligent decisions to protect their people and facilities during and in a post-pandemic world, while respecting individual privacy.”

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The technology uses an open architecture and has a rich 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.

Sudarshan Pitty, Head of the Nokia Chennai Factory, said: “As the factory reopened to production and over 1,000 employees returned to work, we abided by local regulations for monitoring temperatures and mask usage for every single person entering and leaving the site. The Nokia Automated Analytics Solution has enabled us to ensure regulatory compliance in an automated way, round the clock with zero misses in real-time. This solution has enabled us to boost employee availability by reducing the waiting time in queues and removing the need to assign additional staff to carry out manual checks.”

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analyticscentralized managementCOVID-19HR Technologymachine learningNEWSNokia
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