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GithubIn intelligent self-service unmanned car washing systems, accurately identifying the position of sedan wheel locations is crucial for determining the spray, brushing range, and track positioning.
傳統方法依賴地面感測器或紅外線偵測,極易受環境影響,定位精確度有限。
To enhance the system's intelligence and operational efficiency, car wash equipment manufacturers have adopted SingTown's OpenMV intelligent camera recognition technology. Through AI machine vision and computer vision algorithms, this enables automatic detection and precise positioning control of vehicle wheel positions.

The self-service car wash system, based on SingTown Technology's OpenMV intelligent camera recognition technology, can automatically identify vehicle positions and control the spray arm for precise cleaning.
The intelligent camera is mounted on a scanning device that moves along a guide rail, performing parallel scanning along the vehicle's side to capture real-time images of the vehicle body. It automatically identifies wheel positions using edge detection, circular recognition (Hough transform), and feature matching algorithms. Upon detecting the midpoint area of two consecutive wheels, the system immediately outputs a stop signal, controlling the spray arm or cleaning mechanism to initiate operations at the correct position, thereby achieving automatic alignment cleaning.
The OpenMV intelligent camera possesses edge computing and real-time recognition capabilities, enabling identification and control through on-device AI while moving along the track without the need for an external computer.
The system adapts to distances of 0.5–2 metres, enabling stable wheel recognition under varying lighting conditions and angles. It outputs signals via GPIO or serial ports to achieve positioning control and synchronisation with car wash procedures.
透過SingTown科技嘅OpenMV智能相機識別技術,自助洗車系統由「快餐式粗洗」升級為利用AI視覺「睇得清」並自動決策嘅針對性清潔。機器視覺同圖像識別嘅應用顯著提升咗清潔精度同運作效率。

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