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GithubSingTown Technology's OpenMV-based intelligent camera system enables real-time recognition and classification of traffic signs and signals. Utilising AI and machine vision algorithms, the system accurately identifies traffic signs such as speed limits, slow-moving warnings, no-entry restrictions, and traffic light statuses. It provides efficient and stable visual perception support for intelligent driving, autonomous vehicles, road surveillance, and traffic management.

In the advancement of intelligent transport and autonomous driving technologies, the accurate identification of traffic signs and signals is a fundamental capability essential for ensuring road safety and the smooth flow of traffic. SingTown Technology's AI smart camera solution, built on the OpenMV platform, integrates machine vision and image recognition technologies to enable real-time detection, identification, and feedback for various types of traffic signs and signals.
The system captures road scenes via cameras and employs AI algorithms to analyse shape, colour, and pattern features, thereby accurately identifying speed limits, slow‑down signs, no‑entry signs, traffic lights, and other signals. Whether under strong light, overcast skies, nighttime conditions, or complex road environments, the system maintains stable recognition and can output control commands or alert messages based on the identification results.
This solution offers the advantage of edge deployment. The OpenMV smart camera, characterised by high frame rates, low power consumption, and a compact size, can be flexibly deployed on various traffic equipment such as signal poles and surveillance systems. It is also widely applicable in intelligent driving vehicles, road monitoring terminals, and unmanned inspection devices, ensuring long-term stable operation.
The scalable characteristics of the OpenMV embedded vision module enable it to integrate with vehicle control systems or traffic management platforms, facilitating automatic speed limit alerts, route adjustments, or driving decision assistance, thereby significantly enhancing safety and intelligence levels.
SingTown Technology, with AI, machine vision, and computer vision technologies at its core, enables transportation equipment to achieve a visual intelligent upgrade of "seeing traffic signs and understanding traffic rules," providing precise and reliable visual perception capabilities for smart driving and urban management.

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