
Real-time helmet detection and automated violation intelligence designed to reduce fatalities, improve compliance, and modernize transport governance.

Two-wheeler accidents account for a significant portion of urban road fatalities. Helmet non-compliance remains one of the leading contributors to preventable deaths.
Manual enforcement is inconsistent, resource-intensive, and reactive. Authorities require automated, scalable monitoring systems that operate continuously and accurately.
Computer vision models identify helmet absence instantly across live traffic feeds.
Integrated ANPR captures license plates for automated enforcement workflows.
Optimized models run on edge devices for low-latency processing and scalable deployment.
Violation data can integrate directly with e-challan or penalty management systems.
