27/05/2020
Based on the requirement of the detection of fever symptoms caused by the coronavirus pneumonia epidemic, the Tech Kite Solution has introduced an AI temperature measurement solution and rolled it out in the lobby of the Joy Public School jabalpur.
This system uses a front-end infrared camera to identify high-temperature people in the crowd. Based on its accuracy of the human body and facial recognition, it can help screen various public places (train stations, bus stations, subway stations, airports) and other high-density areas for abnormal body temperature. This system can help solve the issue of efficiency and controllability in open spaces by using AI-assisted non-contact temperature-sensing measurements during and after the epidemic.
Moreover, under circumstances where one is wearing a mask and a hat, the system is still able to identify the individual efficiently, with a recognition error of ± 0.3 ° C. As such, the public does not need to remove their masks nor hat, or line up for checking.
Another major feature of the system is its long-range temperature measurement capability of more than 3 meters. Once a suspected individual with fever is detected, the system will automatically alert the authorities. Combining this feature with the self-developed human ReID (Re-Identification) detection and retrieval technology, the system can quickly help screen the location clues of fever personnel for further confirmation and medical observation.
The bandwidth of this smart system can screen up to 15 people per second, and can be deployed at 16 exits simultaneously, which enables the screening of all exits at one subway station. In addition to that, with the help of this AI system, only one staff member is required to monitor it, even in the most crowded subway station, which greatly reduces the exposure risk of front-line staff members.
Many stations have implemented an artificial intelligence (AI) based fever screening system developed by the Ozone Secutech and Implemented By Tech Kite Solutions. The system supports non-contact remote temperature screening from a distance of 3 meters. "This system's margin of error is within 0.3 degree Celsius". It can send fever alerts for up to 15 people per second. Even for the subway stations with greater traffic, only one employee is required to work on-site, further reducing the risk of infection.With the help of AI technology, we can track the whereabouts of people with fever as well as their close contacts.
Ozone R&D team proposed an AI-enabled temperature detection solution that integrates body detection, face detection and dual sensing via infrared cameras and visible light. The system is designed to help staff working at locations with high-density passenger flows, such as train stations, bus stations, railway stations and airports, to swiftly identify people who may have elevated body temperatures.
Those people are then located in the crowd using available body and facial information (not to be confused with personal identity verification). This allows staff to complete all body temperature screenings without close physical contact, while reducing potential physical transmission of the coronavirus and optimizing passenger flow.
The Ministry of Industry and Information Technology suggested in a public note that AI companies should work together to come up with solutions to discover, prevent and control NCP. More application scenarios should be explored and products that help with diagnosis and rapid testing should enter mass production. The AI algorithm should be further optimized to help with the research of the gene sequencing of the virus and the development of vaccines and drugs, said the ministry.
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