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.

However, the varying colours, fonts, and spraying methods of carriage numbers, combined with complex ambient lighting and severe dust obstruction, result in high error rates and low efficiency in manual identification.

To this end, engineering machinery manufacturing enterprises adopt SingTown's OpenMV intelligent camera recognition technology, utilising AI machine vision and optical character recognition (OCR) algorithms to achieve dynamic detection and real-time identification of carriage numbers.

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.

Through SingTown Technology's machine vision intelligent camera recognition technology, construction machinery manufacturing enterprises have achieved automatic identification, intelligent matching, and data management of vehicle compartment numbers. By utilising computer vision and image recognition technology, on-site operational efficiency and safety have been significantly enhanced.