Solution Overview
The Traffic Event AI Recognition System supports the deployment of event recognition algorithms on AI cameras, edge terminals, and the cloud, enabling accurate detection of more than ten types of traffic anomalies involving motor and non-motor vehicles. The system also features the capability of autonomous training to continuously improve algorithm accuracy. When an event occurs, real-time alerts are generated and pushed to traffic police for rapid response, effectively reducing incident handling delays and the occurrence of secondary accidents.
Solution Architecture
Feature Highlights
Motor & Non‑Motor Vehicle Incident Detection
Supports real-time detection of more than ten types of traffic anomalies involving motor vehicles and non-motor vehicles, covering intersections, expressways and other scenarios.
Full Coverage of Video Resources
Adopting a cloud deployment architecture, it supports stable access to 50–100 video streams, achieving full all-round coverage of monitoring scenarios in the controlled area.
Flexible Reuse of Existing Video Resources
Supports the utilization of existing video equipment in the project. Event detection can be deployed without large-scale replacement, significantly reducing project construction costs.
Real-time Alarm & Closed-loop
Real-time alarms trigger on incident occurrence. Supports viewing, details and handling, enabling closed-loop management and reducing response time.
Project Cases
Enshi，Hubei
Uzbekistan
Senegal
Oman
Nigeria
Bahrain
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