According to a press launch issued by the UoH, the physical distancing monitor tool – SudRz (Sanskrit, which means – eager-sighted), is developed beneath mission METIS (Medical Engineering Technology Industrial Strategy).
“The tool analyses real-time video streaming from cameras eg. CCTV and identifying physical distancing violations using artificial intelligence (AI) algorithm between all pairs of individuals. Distancing violations are conveyed, along with alarm features on the screen with individuals framed in a box. Cameras with IP enabled are sufficient to implement the system,” learn the press launch.
The tool has an added built-in characteristic for facial recognition utilizing AI. Once an identification of a face is made with different figuring out knowledge resembling passport quantity or worker quantity, contact much less processing by distant facial recognition can be used for features and locations resembling selective entry into restricted areas, attendance monitoring, airports and so on. This helps to make sure worker and public security.
“We tried and tested the efficacy of the tool at the UoH’s incubation center for the last one month. The tool can be used seamlessly in malls, airports, bus stops, educational institutions etc.,” mentioned C Bhavani Shankar Goud, chief govt officer and govt director of Maven Labs.