Invision AI

Invision AI builds computer vision systems for intelligent infrastructure and transportation, centered on a universal AI platform that fuses a multi-camera sensor stack into high-integrity 3D digital twins of dynamic environments. The technical core spans 3D object detection, geo-localized multi-sensor tracking, sensor fusion, and real-time video analytics - work that has to hold up under variable weather, lighting, occlusion, and moving targets in the field rather than in a lab.

Three deployed products define the current workload. iVOD (Vehicle Occupancy Detection) counts passengers in vehicles across all weather conditions and speeds, with privacy preservation built into the sensing approach. iAID (Automatic Incident Detection) delivers real-time, geo-localized anomaly detection for roadways and railways. iFlow (People Flow) performs real-time situational analysis of spaces using multiple collaborative cameras, which means cross-camera association and consistent tracking rather than per-view processing in isolation.

The deployment context is highway operations, railway networks, and traffic and roadway monitoring across North America, Europe, and other global markets. For engineers, that implies hardware/software boundary decisions that respect existing roadside and wayside infrastructure, real-time constraints at the edge, and the reliability expectations of operational transport systems. Privacy-preserving sensing is a stated design constraint across the product line.