Enabling Machines to "Understand Gestures": SingTown's New Approach to Visual Interaction

SingTown基於OpenMV嘅智能相機解決方案，能夠實時識別人體手勢同動作變化。利用AI圖像識別同機器視覺技術，系統可以準確識別揮手、握拳、比心、豎拇指等多種手勢。同時支援自定義訓練模型，廣泛應用於人機互動、智能控制、教學演示同非接觸操作等場景。

In the realm of intelligent interaction and automated control, gesture recognition is emerging as a pivotal method for human-machine communication. SingTown Technology utilises the OpenMV platform to develop an efficient smart camera system capable of real-time recognition and interpretation of users' hand movements and posture changes.

The system utilises computer vision algorithms to conduct background separation, key point localisation, and morphological analysis on the captured images, thereby identifying various types of gesture actions.

經過AI模型訓練後，系統不僅能夠識別揮手、握拳、伸掌及「OK」手勢等標準動作，更能根據用戶需求擴展自訂指令。例如在智能家居中，揮手可用於控制燈光或窗簾；在顯示裝置上，可用於切換頁面、播放或暫停；在教育及醫療領域，則適用於非接觸式互動與指令控制。

The OpenMV intelligent camera boasts a compact design, low power consumption, and rapid response. It supports on-device computing, allowing for real-time recognition without reliance on external servers, thereby enabling edge deployment. The system can also automatically adjust parameters according to ambient light conditions, ensuring stable operation both indoors and outdoors, during the day or at night.

SingTown深度整合邊緣人工智能、圖像識別及機器視覺技術，使智能攝像頭不僅能「看見」人類動作，更能「理解」其意圖，為智能控制、人機互動及自動化應用提供嶄新的嵌入式視覺解決方案。