Surveillance is the monitoring of behavior, activities, or information to influence, manage or direct. Security surveillance is a major concerning issue with numeral news of breaches.

At present, a lot of our soldiers are busily patrolling the border areas cities, and compounds. There are various security systems in the market with CCTVs but they just record a scenario and all work of recognition is left to humans.

1. Creation of a Database of Users with their facial identities.
2. Real-time seamless Facial recognition from images, videos, CCTV streams.
3. Identify faces from the database, provide alerts when required.
4. Real-time alerts on suspected users(criminals), VIP with the location.
5. Track Suspect using Google maps.

The system is scalable with rapid deployment on the go with new faces just by adding a few images and details.

1. Identifies faces typically up to a distance of 10 feet from the camera.
2. The actual distance depends on camera height and angle of incidence.
3. Input data can be RTSP(CCTV), HTTP video, image.
4. Our Facial recognition has accuracy over 99.5% on public standard datasets.
5. Recognition Can be used offline(without internet on edge devices).
6. Requires GPU, CPU based on no. of video channels and camera type.

Real-time suspect notification and trackable location.

1. as a camera to send feed to the server for inference.
2. to check all cameras connected to the account for live feed.
3. to receive notifications for anomaly detected on any of the cameras with details like time, place, anomaly type, etc.