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GithubSingTown Technology's intelligent camera system based on OpenMV enables automatic identification of surface cracks and mold spots on rice grains. Utilizing machine vision and image recognition technology, the system captures minute cracks, mold, or color abnormalities, providing high-precision, intelligent detection solutions for grain processing, quality inspection, and food safety.

In the domain of grain processing and food safety inspection, surface cracks and mold spots on rice grains serve as critical indicators for assessing quality and edibility. However, due to the small size and large quantity of rice grains, traditional manual inspection methods are not only inefficient but also susceptible to oversight.
SingTown's AI smart camera solution, built on the OpenMV platform, utilizes machine vision and computer vision technologies to achieve high-precision automatic recognition of tiny cracks and mold spots on the surface of rice grains.
The system captures images of rice grains using high-speed cameras, and AI algorithms analyze the texture, color, and morphology of the rice grain surfaces to accurately identify minute cracks, mold spots, and abnormal discolorations. The image recognition technology can handle variations in lighting, overlapping rice grains, and differences among varieties, ensuring stable and reliable detection results.
The recognition results can directly link with the automatic sorting device to remove unqualified rice grains, thereby improving processing quality and food safety standards. The SingTown smart camera offers advantages such as compact size, low power consumption, and high frame rate, enabling flexible edge deployment on production lines, inspection stations, or automated sorting systems for long-term continuous operation.
SingTown Technology focuses on edge AI, machine vision, and image recognition technologies, enabling smart cameras not only to "see and fully capture rice grains" but also to analyze quality characteristics. It provides intelligent, reliable, and high-efficiency embedded visual inspection solutions for grain processing enterprises, enhancing product quality and inspection efficiency.

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