COVID-19 pandemic has presently made it unsafe to make use of contact primarily based biometric verification for attendance marking techniques. To bypass this downside, Analysis Centre Imarat (RCI), DRDO, has efficiently developed AI-based Attendance Software (AINA) which permits non-contact primarily based personnel verification utilizing facial options of the particular person captured with the assistance of a low-cost digicam.
AINA will be deployed with minimal upgradation to the legacy attendance infrastructure with RFID readers. It may be put in on a standard desktop laptop with a GPU primarily based show adapter.
Present CCTV cameras will be utilised for capturing facial photos. Facial options of a number of 1000’s of staff will be saved within the laptop since for every worker the facial options are encoded in a small (lower than 25 KB) file.
The system is absolutely scalable for the reason that time for identification and verification for every particular person stays fixed even because the variety of registered personnel will increase.
It’s absolutely safe as it really works as a standalone system and doesn’t require any connection to the Web. Since solely the facial options are saved in an encoded type, the precise face photos needn’t be saved. thereby guaranteeing privateness and safety.
Additionally, the server storing the facial function database is confined to the organisation premises. AINA has a lightweight set up course of. AINA comes with a really intuitive and user-friendly GUI with audio prompts which will be optionally disabled. The appliance has been at the moment put in in ESIC Hospital, Hyderabad.
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