BAV ONE Computer Vision Operating System · Turn existing cameras into programmable AI sensors
Explore the platformDefine what constitutes an intrusion for a specific camera, zone, schedule and accountable response workflow.
How it works
Each stage remains observable and can be validated independently.
An object becomes an intrusion event only when it matches the configured zone, schedule, duration and policy conditions.
Examples include after-hours presence in a yard, entry into a restricted laboratory, or a vehicle entering a controlled lane. Each rule requires site approval.
Assign severity, permitted evidence and recipients according to the responsible team's incident process.
Capability, compatibility and performance depend on the camera scene, approved models, infrastructure and acceptance criteria. Human review remains appropriate for critical decisions.
Related guidance
Frequently asked questions
No. The configured Vision Policy determines whether the detection, place, time and duration constitute an operational event.
Yes. BAV ONE supports assessed edge, on-premises, cloud and hybrid architectures. The selected design depends on camera access, compute, bandwidth, data-control and operational requirements.
No. Compatibility depends on stream access, protocol, resolution, frame rate, camera angle, lighting, network conditions and the selected use case. Bharat AI Vision validates these factors before rollout.
Begin with a camera and workflow assessment, then validate a focused one-to-four-camera pilot against agreed operating conditions and acceptance criteria.
Validate before rollout
Map the operating requirement, assess compatible streams and validate a focused workflow before expanding.
