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GithubIn medical testing, laser ranging, optical scanning, and other instruments, to ensure user safety, it is necessary to confirm whether the operator's eyes are open or correctly focused on the detection window before laser emission.
傳統紅外線或機械感應器難以準確偵測人眼狀態,導致激光頻繁誤啟動,構成安全風險。
為此,醫療及光學儀器製造商已採用SingTown的OpenMV智能相機識別技術,整合AI機器視覺與瞳孔檢測算法,以實現快速識別人眼開合狀態並啟用安全聯動控制。
The system can operate stably under laser light source irradiation, ensuring the instrument safely initiates when "the subject's eyes are open" and automatically ceases emission when "eyes are closed" or "no eyeball is detected.

To further enhance equipment safety, medical and optical instrument manufacturers have implemented rapid recognition of human eye open/closed states and safety linkage control based on SingTown Technology's OpenMV intelligent camera recognition technology.
A miniature camera module is embedded inside the device's optical window, with its edge deployment capability enabling independent real-time image capture of the user's eye area and utilising technologies such as computer vision and image recognition for identification and detection.
The system automatically identifies the presence of clear pupil structures through algorithms for human eye region localisation, pupil edge detection, and greyscale distribution analysis.
當偵測到使用者雙眼睜開並凝視時,邊緣人工智能會分析瞳孔位置、形狀及亮度反射特徵,以確認「雙眼睜開並對準偵測區域」。若偵測到眼瞼閉合、遮擋或缺乏有效反射區域,系統會立即判定為「閉眼」狀態,並向主控制模組輸出禁用信號。
The OpenMV intelligent camera features high-speed grayscale recognition capability and adaptive exposure function, enabling stable detection under laser auxiliary lighting or low-light conditions.
The entire system's edge deployment supports independent real-time decision-making, with recognition latency under 100 milliseconds, enabling real-time response and security linkage.
The pupil detection system built upon SingTown Technology's OpenMV intelligent camera effectively prevents accidental laser triggering, enhancing the human safety and intelligence level of optical detection equipment.

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