CCTV perspective of a dark highway at night, harsh high-contrast streetlights, a sedan captured with a sharp green digital bounding box overlay
CCTV perspective of a dark highway at night, harsh high-contrast streetlights, a sedan captured with a sharp green digital bounding box overlay
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Computer Vision Engine

Extract Vehicle DNA Instantly

Identify vehicle make, model, sub-trim, and damage profiles from low-resolution feeds with sub-100ms latency. No license plates required.

Engine Capabilities

Precision Beyond the Plate

Traditional readers fail when plates are dirty or obscured. Our multi-attribute neural network analyzes physical vehicle contours to maintain tracking.

Zero-Calibration Setup

Continuous Adaptation

Sub-100ms Inference

Deploy instantly on legacy IP camera infrastructure. The edge-compatible SDK runs on existing feeds without requiring physical hardware upgrades.

Our models maintain 99.8% accuracy during heavy rain, midnight glare, and extreme camera angles by tracking structural contours.

Process high-speed traffic feeds locally or via cloud API. Receive structured JSON payloads containing make, model, and trim data instantly.

Technical FAQ

Integration and Deployment

What hardware is required?

How is latency managed?

Our engine runs on standard RTSP streams from existing IP cameras. No specialized physical sensors or high-resolution upgrades are necessary for deployment.

The edge-compatible SDK processes feeds locally to achieve sub-100ms latency, while our cloud API handles high-throughput batch analysis with minimal overhead.