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GithubSingTown嘅智能相機系統,基於OpenMV技術,能夠精準識別地面瓷磚縫、水泥接縫同黑線等線性特徵。借助人工智能同機器視覺技術,該系統能夠喺複雜光線同多材質地面環境中穩定檢測線條,為清潔機械人、循線車同施工檢測系統提供可靠嘅視覺導航同定位支援。

In applications such as intelligent cleaning, automatic line following, and building inspection, accurately identifying ground black lines, tile seams, or cement seams is a crucial foundation for achieving path planning and surface detection. SingTown Technology's AI smart camera solution, based on the OpenMV platform, integrates machine vision and image recognition algorithms to develop an embedded vision system capable of real-time detection and tracking of ground line features.
After the system captures ground images through a high-frame-rate camera, AI algorithms analyse colour, brightness, and texture features to accurately extract linear targets such as black lines, cement joints, and tile seams. Even in the presence of ground reflections, complex patterns, or dust interference, the system maintains stable recognition. The recognition results can be transmitted in real-time to the control system for applications such as robot line-following navigation, ground flatness detection, or automated repair guidance.
The OpenMV intelligent camera features low power consumption, compact size, and high responsiveness, making it suitable for integration into cleaning robots, inspection vehicles, or intelligent construction monitoring equipment. Its edge deployment advantage leverages the camera and on-device AI to provide continuous visual guidance and feedback. Through computer vision technology, the system can further calculate line direction, width, and positional deviation, enabling higher-precision path correction.
SingTown Technology 深度整合人工智能與機器視覺,令智能相機不僅能「察覺地面接縫」,更能「理解路徑」。此方案廣泛適用於自動化線路檢測、地面偵測及室內導航等場景,為智能裝置提供穩定、精準且高效的視覺識別能力。

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