一种城市道路悬臂式标志牌反光膜逆反射系数检测方法
By combining a drone platform with a multispectral automatic lighting module and image processing technology, efficient, safe and automated detection of the retroreflective coefficient of cantilevered signs on urban roads has been achieved. This solves the problems of low efficiency and poor safety in existing technologies and improves detection accuracy and data representativeness.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- HUAIAN CONSTR ENG QUALITY TESTING CENT CO LTD
- Filing Date
- 2025-03-28
- Publication Date
- 2026-07-17
AI Technical Summary
In existing technologies, the retroreflective coefficient detection efficiency of reflective films on cantilevered signs for urban roads is low, the safety is poor, and there is human error involved. Furthermore, the influence of ambient light and atmospheric environment is not effectively considered, which fails to meet the development needs of intelligent transportation.
Using a drone platform for long-distance detection, combined with a multispectral automatic illumination module, light intensity sensor, and temperature and humidity sensor, the synchronous and automated detection of the retroreflection coefficient of multi-color reflective films is achieved through long-distance detection on the drone platform. Image processing, environmental compensation, and data calibration are performed using the YOLOv5s model and adaptive ROI algorithm.
It significantly improves detection efficiency and safety, increases detection accuracy, expands the representativeness of the detection area, and meets the development needs of intelligent transportation.
Smart Images
Figure CN120352386B_ABST