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GithubSingTown Technology基於OpenMV嘅智能相機系統,能夠自動識別米粒表面嘅裂紋同霉斑。利用機器視覺同圖像識別技術,該系統能夠捕捉微小裂紋、霉變或顏色異常,為穀物加工、品質檢測同食品安全提供高精度、智能化嘅檢測方案。

In grain processing and food safety inspection, cracks and mould spots on the surface of rice grains are key indicators for determining quality and edibility. However, rice grains are small and numerous, making traditional manual inspection not only inefficient but also prone to missed detections.
SingTown嘅AI智能相機解決方案,建基於OpenMV平台,運用機器視覺同電腦視覺技術,實現對米粒表面微細裂紋同霉點嘅高精度自動識別。
The system captures images of rice grains using high-speed cameras, and AI algorithms analyse the texture, colour, and morphology of the rice grain surfaces to accurately identify minute cracks, mould 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專注於邊緣人工智能、機器視覺及圖像識別技術,使智能相機不僅能「看見並完整捕捉米粒」,更能分析品質特徵。為糧食加工企業提供智能、可靠且高效的嵌入式視覺檢測方案,提升產品質量與檢測效率。

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