Intersection Flow Engine
Transforms live roadway video into structured movement intelligence—tracking direction, speed, density, and traffic flow across complex intersections.
Explore repository ↗Sense Traffic Pulse turns existing camera feeds into real-time intelligence—revealing how every road user moves, where risk emerges, and when action matters.
Five purpose-built capabilities work as one—from raw video and coherent motion regions to autonomous mobility, crowd intelligence, and operational alerts.
Transforms live roadway video into structured movement intelligence—tracking direction, speed, density, and traffic flow across complex intersections.
Explore repository ↗Surfaces the moments that matter: wrong-way movement, stalled vehicles, density spikes, fragmented flow, and unexpected region shifts.
Explore repository ↗The coherent-motion foundation. Builds, clusters, and tracks motion regions so crowded scenes become clear, actionable patterns.
Explore repository ↗A Python toolkit for multi-sensor autonomous-vehicle research, including video, egomotion, transforms, interpolation, and dataset interfaces.
Explore repository ↗Real-time CSRNet and OpenVINO density mapping with spatial zones, temporal aggregation, annotated output, and four alert modes.
Explore repository ↗The Sense Traffic Pulse™ dashboard brings feeds, processing pipelines, system models, frame analysis, and autonomous tracking into one operational view.


Density-map regression handles dense and occluded scenes where individual detection becomes unreliable. Zone-level temporal analysis identifies sustained occupancy, sudden spikes, rapid drops, and accumulation trends.
See how computer vision becomes a continuous pulse of safety and operational insight.
Connect existing traffic camera feeds.
Map coherent regions and movement.
Identify risk, conflict, and anomalies.
Deliver alerts, metrics, and APIs.