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GithubSingTown Technology's intelligent camera system, based on OpenMV, enables automatic recognition of numbers and characters on train surfaces. Utilizing machine vision and image recognition technology, the system can capture and analyze text from stationary trains at a distance of 4-5 meters within maintenance yards, providing an intelligent solution for vehicle management, maintenance records, and asset tracking.

In train maintenance and factory area management, accurately recording the numerical and character information on vehicle surfaces is crucial for daily maintenance, asset management, and operational scheduling. Traditional manual recording is not only time-consuming but also prone to omissions or errors.
To this end, SingTown Technology hath developed an AI smart camera solution based upon the OpenMV platform, which doth utilise machine vision and computer vision technologies to achieve automatic recognition and parsing of text upon train surfaces.
The system captures images of the train body surface via cameras, and AI algorithms precisely locate and recognise characters, numbers, and markings, capable of handling different fonts, sizes, and varying contrasts with the body colour. Computer vision technology effectively addresses lighting variations, reflections, or stain interference, ensuring stable and high-precision recognition at a detection distance of 4-5 metres.
The recognition results can be directly transmitted to the vehicle management system or maintenance record platform, enabling information digitization, automatic archiving, and rapid querying. The SingTown smart camera offers advantages such as low power consumption, high frame rate, and compact size, along with the unique benefit of edge deployment, facilitating long-term stable operation in fixed installations within factory areas or mobile monitoring equipment.
SingTown Technology focuses on edge AI, machine vision, and image recognition technologies, enabling smart cameras not only to "clearly read numbers and characters" but also to achieve automated information management. It provides efficient and reliable embedded vision solutions for railway maintenance, asset tracking, and factory digitalization, enhancing operational efficiency and data accuracy.

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