AI monitoring for fever and PPE compliance

AI monitoring for fever and PPE compliance

Technology News |
By Julien Happich

One common rule among these is the requirement to wear masks or personal protective equipment (PPE) out in public, as well as barring anyone with a fever. However, observing large numbers of people in such detail can be overwhelming for security teams and staff. Aaeon’s Boxer-8120AI is being deployed by developers to assist in monitoring for such breaches of newly imposed rules. On April 3rd, the task force in charge of the Taiwan CDC’s efforts, the Central Epidemic Command Center (CECC), imposed new rules requiring the wearing of masks on public transportation, with stiff fines for failing to comply. Also included were rules restricting access to those whose body temperature is above 37.5°C. With an average of over two million passengers each day, monitoring and enforcing these rules on Taipei’s Metro system is daunting to say the least.

Using artificial intelligence, authorities can reduce the workload of the task, allowing security and staff to effectively monitor passengers without requiring a ramping up of personnel. Some developers are deploying the Boxer-8120AI embedded edge platform to power this innovative and important role.

Traditional monitoring equipment usually involves only using infrared cameras. However, the surrounding environment can interfere with readings, leading to missed reports and false alarms, with the requirement to adjust data afterwards. Utilizing AI technology with deep learning, the application can combine both facial recognition with thermal detection to accurately detect those who are violating mask requirements, or have fevers.

The Boxer-8120AI is currently deployed in several hospitals, providing monitoring of hospital entrances. In this role, it is crucial to detect potential patients, allowing hospital staff to separate and administer the appropriate treatments. Despite wearing a mask, the facial recognition models can still accurately identify people and features, allowing hospital staff to quickly locate and address anyone with an abnormally high body temperature. Operating at the edge, the system is able to identify and measure the temperature of up to 240 people per minute, and can allow for the monitoring of multiple entrances, greatly reducing the workload of staff.

Powered by the Nvidia Jetson TX2 SoC with 256 CUDA cores, the unit supports AI frameworks such as TensorFlow, Caffe2, and can support custom AI inference software. With four Ethernet ports, two USB 3.0 and two COM ports, the Boxer-8120AI provides flexible I/O to easily integrate with most projects.

Aaeon –

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