Production‑ready perception for streetside cameras and fleets: multi‑class detection (vehicles, bikes, pedestrians), lane & drivable area segmentation, traffic sign recognition, and multi‑object tracking. Optimized for Jetson/x86/ARM and deployable via SDKs or a gRPC microservice.
Edge targets: Jetson Orin/Xavier/Nano, x86, ARM64. Cloud: AWS/Azure/GCP.
Detection
cars • trucks • buses • bikes • persons
Segmentation
lanes • drivable • shoulders
Signs
Indian & intl. taxonomies
Tracking
ID stability • FPS‑aware
Real‑time detection for vehicles, cyclists, pedestrians, animals, cones and more. NMS and class‑wise confidence controls with on‑device calibration.
Semantic/instance segmentation for lanes, drivable area and shoulders; robust in rain/low‑light with temporal smoothing.
Classifier + detector combo with Indian and international taxonomies; supports occlusion and motion blur cases.
ID‑stable tracking with re‑identification features for intersection analytics and dwell/time‑to‑collision studies.
* Indicative numbers; exact latency depends on resolution, model variant and target device.
Curated scenes across day/night, weather, sensor mounts and geographies; includes manifests and licenses for research/commercial/OEM.
Boxes, polygons, lane polylines, sign classes; QA with inter‑annotator agreement and audit trails.
Tell us your camera setup and latency targets; we’ll propose the right variant and integration path.