Turn roadside CCTV into a traffic analytics network: vehicle counting and classification, wrong-way and stopped-vehicle alerts, incident detection and plate capture — edge-processed, even at unstaffed sites.
Multi-lane vehicle detection with counting and flow statistics exportable via API for traffic dashboards.
Immediate alerts for wrong-way movement or vehicles stopped on shoulders and lanes.
Lane-level plate capture for enforcement, weigh stations and gate control.
Flags congestion build-up, debris and pedestrian-on-roadway events for faster operator response.
Analyzes video locally in roadside cabinets — no continuous video backhaul to a center.
Multiple roadside AI boxes cascade into one AI server for network-wide event search.
Yes. Edge boxes process video locally with low power draw, and only alerts and statistics are transmitted upstream.
No — it complements them. Cameras already mounted for monitoring gain analytics capability without new roadside hardware.
ADHOOPU traffic video analytics delivers vehicle detection, license plate recognition, wrong-way and stopped-vehicle alerts on existing roadside cameras — edge AI that works where backhaul bandwidth cannot carry full video.
Professional AV manufacturer — Integrated AV Platforms, Distributed AV over IP, and AI Edge Computing & Video Analytics. OEM/ODM for system integrators, distributors and AV brands worldwide.
19 years of AV engineering · Shenzhen, China · 3-year warranty