Illegal parking detection
Detects illegally parked vehicles and non-motor vehicle violations automatically, capturing a complete evidence chain.
For traffic management departments: 5+ scenarios such as illegal parking, e-bike riders without helmets and red-light running, with 95%+ accuracy (up to 99%+ on the upgraded model).
A Level 4 autonomous patrol vehicle for traffic management, composed of front-end capture devices, traffic-violation recognition algorithms, a dedicated-network transmission link and a closed-loop business platform, covering 5+ scenarios such as illegal parking, e-bike riders without helmets and red-light running, with average accuracy of 95%+ (up to 99%+ on the upgraded model). After capture and recognition, traffic violations are structured and reported through a dedicated network connected to the police intranet, then pushed to the business platform for review and disposal.

Detects illegally parked vehicles and non-motor vehicle violations automatically, capturing a complete evidence chain.
Detects road anomalies during patrols and reports them immediately.
On-site audible and visual reminders warn first and enforce later, reducing confrontation.
A multi-sensor fusion perception system that recognizes difficult obstacles and operates reliably in complex environments.
Real-time perception and decision-making on the vehicle, nearby compute at the edge, and centralized scheduling and data feedback in the cloud.
In-house detection and recognition algorithms, customized and iterated quickly for urban management, traffic, public security and plant scenarios.
For detailed specifications, lead times and pricing, please contact the Marketing & Business Development Department.

For urban management and road-maintenance departments: 17+ categories of urban-governance events, with a closed loop from dispatch and patrol to review and disposal.
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For public security operations: 4+ scenarios such as crowd gathering, fighting, fall alerts, banner displays and weapon carrying, connected to the police intranet over a dedicated network.
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For campus and plant security: 5+ scenarios such as illegal parking, fire-lane occupancy, intrusion, abnormal heat sources and hazardous-gas monitoring.
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