Automated Monitoring for Security Critical Environments

Business Use case

Highly secure environments like banks, research facilities, university labs require24x7
monitoring. This is currently achieved through installing a CCTV cameraand having a
security staff monitor the feed all the time. This process is prone tohuman errors, and not
scalable, and incurs a large amount of labor costs.

Client

Proof of Concept for a Nuclear Research facility under the Government of India.

Use cases solves

1. Masked Face Detection¥ Disallow access to an individual wearing a mask inhigh-securityareas.
2. Face Detection and Recognition¥ Detect faces and recognize them with thepreregistered faces in the database. Raise an alert if the person is unauthorized.
3. Person Detection and Intrusion¥ Detect and track persons. Raise an alert if aperson isdetected inside a perimeter outside of office hours.
4. Camera Tampering Detection¥ Detect if the camera is moved, tampered with,ordamaged.
5. Vehicle Detection and Tracking¥ Detect and track vehicles as they move acrossthecampus. This solution also includes ANPR listed in the previous section.

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Technologies Used

TensorRT, CUDA-X, PyTorch, Python, C/ C++, Kafka, Django, Flask.