Leaderboard
Leaderboard
Leaderboard

Nokia launches temperature detection solution

Nokia launches temperature detection solution
The solution is accurate to ±0.3°C

Nokia has announced an automated, zero-touch elevated temperature detection solution designed to help spot potential COVID-19 infections in facilities with thousands of people, such as ports.

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.

The solution aims to reduce the cost of detection and ensure business continuity and supply chain resilience during the pandemic.

Taking place in near-real time with human-less operation, it uses a thermal camera to capture video footage and takes individual temperature readings (accurate to ±0.3°C) 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.

If an irregularity is detected, a centralised, 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.

Amit Shah, head of analytics and IoT for Nokia, said: “Whether in factories, ports, offices, airports, schools, or outdoor screening centres, 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 centralised 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.”

Organisations 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 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 that the solution had helped to ensure regulatory compliance in an automated way, round the clock with zero misses in real-time for its more than 1,000 employees.

“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,” he noted.

Leo Gergs, ABI Research, research analyst, said: “The modular architecture allows easy repurposing of the solution to use cases such as port or smart city traffic monitoring and therefore to address the ever-increasing demand for automated data analytics capabilities, which will continue to rise in line with further enterprise digitalisation.”