Computer Vision Solutions Built Around Operational Context

Explore focused BAV ONE workflows for detection, tracking, zones, boundaries, counting, dwell and alerts. Each solution is validated against the camera scene and operating policy.

BAV ONE solution

AI Person Detection for CCTV & IP Cameras

Person detection provides a person class and bounding box for configured video scenes; it is not facial recognition and does not establish identity.

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AI People Counting & Occupancy Analytics

Convert tracked movement across calibrated lines or zones into entry, exit and occupancy analytics without promising unvalidated counting accuracy.

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AI Intrusion Detection for CCTV Cameras

Define what constitutes an intrusion for a specific camera, zone, schedule and accountable response workflow.

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BAV ONE solution

AI Perimeter Surveillance & Intrusion Detection

Apply explicit virtual boundaries and site rules to compatible outdoor camera views while retaining human-led response for critical events.

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BAV ONE solution

AI Line Crossing Detection

Use tracked movement across a calibrated virtual line to create directional operational events.

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AI Crowd Monitoring & Occupancy Intelligence

Support operational awareness of occupancy and density without claiming unvalidated crowd-behavior prediction.

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BAV ONE solution

Real-Time AI CCTV Alerts

Detection alone does not need to create an alert. BAV ONE evaluates operational context and a configured Vision Policy first.

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BAV ONE solution

AI Object Tracking for Video Analytics

Associate detections over consecutive frames within one camera to understand movement without claiming cross-camera identity tracking.

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BAV ONE solution

AI Restricted Zone Monitoring

Define a camera polygon and operating rule so presence becomes relevant only under approved conditions.

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BAV ONE solution

AI Loitering & Dwell Detection

Dwell is a time-and-zone measurement. Business policy—not the model—determines whether that duration matters.

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From visual data to enterprise intelligence

Map the right solution to your cameras

Start with the operating condition, camera view and response workflow—then validate models and infrastructure.