From visual recognition to data linkage, SingTown AI makes engineering operations more intelligent.

At mining areas, railway freight stations, or logistics loading and unloading sites, loading equipment (such as excavators, gantry cranes, etc.) must accurately identify the wagon compartment numbers ahead to match task lists and record operational information.

然而，車廂編號嘅顏色、字體同噴塗方式各異，加上環境光線複雜同塵埃遮擋嚴重，導致人手識別嘅錯誤率高且效率低下。

為此，工程機械製造企業採用SingTown的OpenMV智能相機識別技術，利用AI機器視覺及光學字符識別（OCR）算法，實現對車廂號碼的動態檢測與實時識別。

The system can be widely applied in scenarios such as railway freight, mining area loading and unloading, and intelligent scheduling, facilitating the informatisation upgrade of industrial sites.

Construction machinery manufacturing enterprises utilise SingTown Technology's OpenMV intelligent camera recognition technology to achieve automatic detection and recognition matching of truck carriage numbers.

The camera is installed at the front of the excavator or loading equipment. Through the process of image preprocessing, feature enhancement, and OCR character recognition, it automatically detects numbers and letters with high-contrast features on the vehicle body, identifying painted numbers on trucks or carriages within a range of 10 metres.

The system integrates AI visual algorithms with template matching technology, supporting the recognition of various numbering styles and fonts (such as white characters, grey characters, and embossed fonts). It filters environmental light interference through brightness equalisation and reflection suppression algorithms.

During loading and unloading operations, the camera performs edge detection and text region localisation in each frame. Once a number (such as "C64K" or "04306") is identified, the system immediately outputs the recognition result along with its confidence level. This information is transmitted via serial port or wireless communication to the control unit or the host computer system for recording vehicle identity and matching it with the operation.

This solution achieves an identification accuracy rate of over 95%, and the on-device AI can independently complete identification tasks locally, maintaining high recognition stability under complex working conditions such as dust, vibration, and sunlight reflection.

透過SingTown Technology嘅機器視覺智能相機識別技術，建築機械製造企業實現咗車廂號碼嘅自動識別、智能匹配同數據管理。利用電腦視覺同圖像識別技術，現場操作效率同安全性得到顯著提升。