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GithubSingTown's OpenMV-based intelligent camera system enables automatic identification of water bottles on beaches. Utilising AI image recognition and machine vision technology, the system accurately detects targets such as plastic bottles and mineral water bottles in beach environments, providing intelligent, real-time monitoring and analysis solutions for environmental protection, waste cleanup, and public space management.

At public beaches and outdoor settings, the timely detection of plastic waste like water bottles is a vital aspect of environmental protection and cleanliness management. However, relying solely on traditional manual inspections is inefficient and prone to missing small debris. To tackle this, SingTown Technology has introduced an AI smart camera solution based on the OpenMV platform, which leverages machine vision and computer vision technologies to achieve high-precision automatic recognition of water bottles on beaches.
The system captures real-time beach images through cameras, and AI algorithms analyse the target's shape, colour, and texture features to accurately identify plastic water bottles, mineral water bottles, and other similar containers. The image recognition technology can handle light reflections, sand occlusion, and complex background interference, ensuring stable and reliable detection results.
The recognition results can directly trigger the cleaning robotic arm or provide visual monitoring data, enabling rapid response and automated cleaning. The OpenMV smart camera features low power consumption, compact size, and high frame rate, offering the advantage of edge deployment. It can be flexibly integrated into unmanned inspection robots, fixed monitoring points, or mobile cleaning platforms, achieving round-the-clock real-time monitoring without relying on cloud services or external computers.
SingTown Technology, with a focus on edge AI, machine vision, and image recognition technologies, enables smart cameras not only to detect water bottles but also to analyse environmental conditions in real time. It provides efficient, reliable, and intelligent embedded vision solutions for smart environmental protection, public space management, and waste cleanup.

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