Telpo has developed a terminal combining real-time facial recognition and temperature measurement to help with current measures for disease prevention and control, the company has announced. The TPS980T terminal performs contactless temperature detection with infrared thermography from a distance of 0.7 meters to 1 meter, and offers binocular liveness detection, NFC card reading capabilities, and an 8-inch touchscreen.To get more news about Face infrared thermometer, you can visit jiminate official website.
The company says its new solution reads temperature accurately within 0.3 degrees Celsius, features an alarm mode, and identifies individuals with accuracy up to 99.5 percent an on-board infrared camera. Optimized and upgraded versions of the technology can also identify individuals wearing masks, and the terminal can hold more than 10,000 facial images, which can be batch-imported. The solution leverages the Telpo Cloud data platform, and provides big data statistical analysis, according to the company announcement.
Facial recognition thermometers are being widely deployed to help with covid-19 (coronavirus) screening, particularly in China, with buses in Guangdong Province among the latest places to be outfitted with the technology, according to The Hill.
Chinese state media is reporting that buses on two routes in Guangzhou had thermometers that scan passengers’ faces to measure their temperature within a second installed to detect coronavirus infections. The Hill reports that the implementation is a trial, and could lead to a rollout to major bus routes and transport stations around the country.
Tracking individuals has become a significant part of China’s infection control response, with an app launching last week that tells people if they have been in close proximity to someone diagnosed with the disease.
Administrators using the new Telpo terminal can monitor relevant data and receive timely reports, and the Telpo Cloud platform supports unified management of multiple devices and personnel data uploaded to the back-end server. The company suggests it for customs, hospital, subway and bus station, airport, shopping mall, enterprise, factory, school applications, among other public places with heavy traffic.