CCTV-IQ adds an AI video analytics layer to compatible existing camera systems so organizations can move beyond passive recording and receive actionable alerts when safety, security, traffic, or operational conditions require attention.
Traditional CCTV is excellent for reviewing what happened after an incident. CCTV-IQ is designed to add a computer-vision layer that continuously looks for configured events and brings the exceptions that matter to the attention of operations, security, or HSE teams.
The objective is not simply to detect objects. CCTV-IQ connects visual detection with configurable business rules so the right event can become a meaningful alert instead of another video stream someone must watch continuously.
Compatible cameras continue to provide live video feeds.
Computer vision evaluates the scene for configured events.
Site rules determine what should trigger attention.
Relevant events are surfaced with context and evidence.
Teams acknowledge, investigate, act, and analyze trends.
Use cases are configured around the camera position, scene, operating environment, and required response. Detection quality depends on camera view, lighting, calibration, video quality, and site conditions, so each deployment should be validated against the actual environment.
Identify people entering configured work areas without required visible PPE such as helmets or high-visibility vests, and raise an event for review.
Monitor virtual zones or lines and alert when a person or vehicle enters an area that has been configured as restricted.
Use calibrated camera views to identify vehicles that appear to exceed configured speed thresholds on monitored internal roads or operational lanes.
Requires site/camera calibration for meaningful speed estimation.Detect visible smoke or flame-like conditions in monitored scenes and create an additional early-warning event for operations or safety teams.
Supplementary visual analytics — not a replacement for certified fire detection systems.Monitor queue build-up, lane occupancy, or vehicle counts at gates and approaches so teams can react before congestion materially affects operations.
Use camera imagery to flag severe rain, sand/dust conditions, or reduced visibility that may require operational attention or additional safety controls.
CCTV-IQ can help structure the flood of video into events that are easier to prioritize, investigate, and learn from.
The product is intended to add analytics to compatible existing video infrastructure where camera position, stream accessibility, image quality, lighting, and network conditions are suitable. Camera compatibility and performance should be assessed during deployment design.
Yes, the product concept supports configuring monitoring scenarios by area or camera—for example PPE rules in a workshop, congestion rules at a gate, and restricted-zone rules around sensitive areas.
No. CCTV-IQ is an additional AI-assisted visual monitoring layer. Certified fire detection, access control, safety procedures, and mandated security systems remain the primary controls.
Yes. The same approach can apply to warehouses, logistics sites, industrial facilities, construction locations, campuses, and other environments where existing CCTV footage can support defined operational or safety use cases.
Share your CCTV environment and the events you want to identify. Barmageyat can help define suitable CCTV-IQ use cases, camera requirements, alert rules, and a practical proof-of-concept scope.
