• New AI camera identifies people with a fever in a crowd

    Date:7 April 2020 Author: ilhaam Bardien

    As the COVID-19 pandemic spreads, avoiding crowds is of utmost importance. You never know who could be showing symptoms so its best to stay indoors and stay safe. Sometimes, however, it’s absolutely necessary to go out in to public spaces.

    For essential workers and staff at stores that carry essential goods, this is a huge issue as they have no choice but to interact with possibly infected people. An artificial intelligence (AI) and security company, Kogniz Health, has launched an AI-assisted camera in hopes that it will be of use to these essential workers.

    Their newly launched AI camera and security system, called Health Cam, scans people entering a building and detects those who have a high fever. The system also alerts staff members in the store or facility. According to Somag News, Kogniz Health already has 12 major customers in line for the product.

    “It is very important for institutions to identify people who may be ill during an epidemic like this, and to detect a fever.” said Kogniz Health co-founder Daniel Putterman.

    The system comes with a thermal camera, an optical camera, and a high-resolution screen. All that needs to be done is for the camera to be mounted on a tripod or on the wall. It will detect high fevers using infrared technology, and identify people in an area of about 5 meters. Additionally, the system requires no additions and adjustments to the temperature of the room around it on its own.

    Health Cam focuses on the temperature around peoples’ eyes, in order to be as accurate as possible.

    Real-time alters via SMS, mobile notifications (with the companies app), live broadcast, and Slack are all available to users of this system.

    “During a pandemic such as this one it is critical that organizations be able to quickly identify people who might be sick, and one way to do that is to detect fever. Handheld thermal guns are very expensive, labor intensive, and create a bottleneck. We are able to provide temperature detection for high-flow environments so individuals with elevated temperature can be further checked,” said Putterman to eeNews Europe.

    Image: Twitter / Patricio Carranza



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