Rules drawn in the scene
Define monitoring regions, counting lines and authored direction rules. Supported speed estimation uses a separate calibrated-road geometry.
Video analytics / Traffic PilotPrivate client deployment
Turn camera observations into incidents people can review.
Camera setup, scene rules, tracked events, matched evidence and fleet health in one traffic analytics application.
The engineering challenge
Make the connections useful.
An incident needs more than a detection. Operators need to understand which vehicle, which scene configuration and which evidence belong together, even when a local track temporarily changes.
Scene geometry, event identity and evidence timestamps stay aligned. A searchable review workflow sits alongside camera connectivity, processing state and inference-worker health.
Configure a camera’s task, inspect tracked events, follow matching proof and distinguish a reachable camera from one that is actually being processed.
One connected workflow
Conceptual workflow · not an application screenshot
- 01
Configure scene + camera
- 02
Track observations + events
- 03
Inspect matching proof
- 04
Review + monitor health
What we built
Connect the scene, the event and the evidence.
Continuity with identity safeguards
Supported incidents retain continuity across temporary local track changes, with guards against unrelated vehicles inheriting an incident.
Proof that matches the event
Inspect sampled proof with matching timestamps and analytics, toggle overlays, zoom to original detail and export captures with metadata.
A fleet with visible processing health
Inspect camera reachability, worker heartbeats, processing state, frame-rate history, hardware telemetry and identity-service health.
Review the incident. Keep its context.
Operators can move from trends, camera maps and review workload to individual vehicle records. Evidence storage has explicit budgets, free-disk reserves, sampling and rotation so the review workflow also has an operational lifecycle.
Reading the results responsibly
Evidence playback is sampled proof, not a continuous video archive. Events require review. Speed estimates depend on calibration and measurement eligibility; this is not a certified speed-enforcement system.
Video analyticsEdge inferenceEvidence workflowTensorRTDeepStreamPythonReact
Build with AlgoFly
Have a similar challenge?
This is a private client application. Explore the engineering story, or talk with us about your own workflow.