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GithubSingTown Technology基於OpenMV嘅智能相機系統能夠實時判斷機械臂係咪成功抓取目標物件。透過AI同機器視覺演算法,系統準確識別機械臂夾爪嘅位置、夾持狀態同物件變化,為自動化生產、分揀系統同裝配線提供穩定可靠嘅抓取反饋同控制優化解決方案。

In automated production and intelligent sorting, determining whether the robotic arm successfully grasps the target object is crucial for ensuring operational precision and efficiency. SingTown Technology's AI smart camera solution, developed based on the OpenMV platform, utilises machine vision and image recognition technology to enable real-time detection and feedback control of the robotic arm's gripping status.
透過鏡頭監控機械臂夾爪區域後,人工智能演算法會分析夾爪開合角度、物件輪廓變化及抓取瞬間的形態特徵,以判斷抓取是否成功。若檢測到抓握不穩、掉落或未接觸等問題,系統能即時發出反饋信號,控制機械臂調整姿態或重新執行任務,顯著提升操作精準度。
This solution is applicable to objects of various shapes, materials, and sizes, and maintains stable recognition in scenarios with strong light, reflections, or high-speed motion. The SingTown intelligent camera features a compact size, low power consumption, and fast response speed. With the advantage of edge deployment, it can be flexibly installed at the end of a robotic arm, in a side-view position, or at a top monitoring point to achieve real-time dynamic monitoring.
SingTown Technology deeply integrates edge AI, machine vision, and computer vision, enabling smart cameras to possess "inspection and decision-making" capabilities. It provides high-precision, highly reliable embedded vision solutions for smart manufacturing, automated sorting, and industrial quality control.

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