The automated, contactless elevated temperature detection solution is designed to help identify potential Covid-19 infections in facilities with thousands of people.
Nokia is launching an automated, zero-touch elevated temperature detection solution designed to help identify potential Covid-19 infections in facilities with thousands of people.
The Nokia Automated Analytics Solution for access control also confirms mask compliance in large environments with multiple accesses.
How it works
The 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.
An analytics engine quickly 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, organisation-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.
Nokia claims 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.
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.
“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,” said Amit Shah, head of analytics and IoT for Nokia.
Individual temperature readings are taken for every person entering the site
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 organisation’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.
“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,” said Sudarshan Pitty, head of the Nokia Chennai Factory. “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.”
Pitty continued: “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.”
Leo Gergs, research analyst, ABI Research, reckoned the solution is an example of the important role that network infrastructure vendors can play in fighting the spread of a global pandemic, such as Covid-19.
He added: “Furthermore, 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.”
Nokia suggested that once concerns about Covid-19 subside, organisations 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 customised industry-specific analytics.
Originally published by
SmartCitiesWorld News Team | October 16, 2020