Traffic Management Autonomous Patrol Vehicle
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).
View detailsTraffic Patrol
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).
The challenge
Illegal parking and non-motor vehicle violations are numerous and hard to document, and manual enforcement can escalate into confrontation on site.
Our approach
For traffic management scenarios, the vehicle recognizes 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 front-end capture and recognition, traffic violations are structured and reported through a dedicated network connected to the police intranet, ensuring secure and compliant transmission, and pushed to the business platform for review and disposal — a complete closed loop that helps traffic police improve both roadside and non-contact enforcement.
Detectable issues
- Illegal parking
- E-bike riders without helmets
- Red-light running
Deployment options
- 01Key-road patrols: focused on shopping districts, schools and hospitals where illegal parking is frequent.
- 02Peak-hour patrols: schedules aligned with morning and evening peaks to increase coverage per hour.
- 03Air-ground collaboration: works with drone models for wide-area patrols and detailed evidence capture.
For deployment options and coverage, please contact the Marketing & Business Development Department to assess your jurisdiction.
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Bring autonomous patrol vehicles to your city
Leave your contact details and our Marketing & Business Development Department will get back to you within one business day.
Marketing & Business Development Department · yu.zhang@waymon.online
Room 1805, East Tower, Zhangjiang Science Gate, Building 1, 1839 Zhongke Road, Zhangjiang Town, Pudong New Area, Shanghai
Monday to Friday, 9:00–18:00 (CST); replies within one business day