Colt AI transforms existing camera infrastructure into a real-time layer for security, workplace safety and operational intelligence. It does more than record video—it understands people, risks and processes and turns them into actionable events.
Traditional camera systems record events. Colt AI analyzes video in real time, relating people, regions, equipment and processes so teams can act at the right moment.
The existing IP camera or NVR stream is connected.
People, objects, movement and configured regions are evaluated.
A time-stamped visual record is created when a rule is confirmed.
The event is routed to the relevant team, filtered and reported.
Real COLT AI product views from human tracking and safe thresholds to fence contact and confirmed boundary breaches.
Bounding box, tracking identity and keypoints from a frontal camera.
The same perception engine evaluates different field rules within one management layer.
Colt AI relates configured fence and zone rules to human movement, creating time-stamped security events with visual evidence.
Camera zones, pedestrian paths and equipment risk areas are evaluated with separate rules, then routed to the relevant team.
Colt AI makes area use, movement and waiting patterns visible for process improvement and capacity planning.
Material and activity flow is evaluated across configured stages, turning durations and deviations into measurable records.
Colt AI evaluates products, parts and assembly positions through configured inspection scenarios and produces time-stamped OK/NOK records.
Camera footage is not an outcome by itself. Colt AI connects field context, perception, rules and team action in one operational chain.
Camera and NVR infrastructure after compatibility assessment.
Video streamRegions, virtual boundaries, rules and notifications.
Configured scenarioEvaluate video streams in real time.
Validated eventRoute, record and report the event.
Notification · Evidence · ReportColt AI connects perception to rules, events, evidence, notifications and reporting.
Colt AI can be configured as On-Premise, Edge or hybrid according to camera count, network architecture, latency requirements and organizational data policies.
Colt AI preserves existing camera investments. The required processing infrastructure is designed according to the number of active cameras and AI modules.
Collbrai applies computer vision to production quality through a visual quality control automation project developed with Partner CRS.
Line safety, process deviations and visual quality
Perimeter security, forklift–pedestrian risk and area use
PPE, dangerous zones and site movement
Multi-camera, perimeter and operational visibility
Area use and process patterns
PPE, process compliance and visual inspection
Restricted areas and facility movement
Perimeter and area security in low visibility
Deployment and data-retention architecture can be configured according to organizational policies and project requirements.
Explore how ROI, virtual boundaries and event rules work together for perimeter security.
02How PPE and site risks become structured events from camera streams.
03Defining which image regions are analyzed, when and under which rule.
04The integration path from compatibility assessment to event generation.
Perimeter-security and PPE process animations, compact loops, GIF versions and videos are displayed together without being hidden behind a filter.
