Vision AI
Vision AI
Vision AI is valuable only when it performs reliably in production: across lighting changes, weather, crowded scenes, and imperfect camera placement. We build Vision AI systems that convert video and sensor feeds into validated operational events—with evidence, escalation logic, and integration into real workflows.
60–80%
of vision alerts become operational noise when rules are not tuned to site context.35–55%
of incident response time is lost to manual footage search and evidence reconstruction.25–45%
of critical events are reviewed too late when escalation remains manual or inconsistent.Areas we support
Perimeter and Security Intelligence
We build detection systems for restricted zones, intrusion patterns, and abnormal movement with evidence-first incident handling. Outputs are designed for governed escalation: role-based visibility, audit trails, and correlation with access logs and other site systems—so security teams act on validated events, not raw alerts.
Operational Safety and Compliance Monitoring
We implement Vision AI for PPE, unsafe behavior, and critical zone violations with low-noise alerting and clear accountability. The system is tuned to operational context, not generic thresholds, and supports review workflows that reduce fatigue while preserving evidence for investigations, compliance reporting, and continuous improvement.
Industrial Inspection and Traceability
We deliver Vision AI for defect detection, counting, assembly verification, and traceability checkpoints. Models are deployed with production constraints in mind—lighting variance, speed, camera placement, and drift controls—so inspection outcomes remain consistent across shifts, lines, and sites, with measurable accuracy and monitoring.