Enabling Drones to "See and Track," SingTown Technology Leads AI Vision to "Soar

In reconnaissance, mapping, and target tracking missions for fixed-wing UAVs, the system is required to possess capabilities for real-time target recognition, continuous tracking, and angle information feedback.

傳統視覺模組在高速飛行及複雜背景下的識別穩定性較差，且缺乏角度輸出介面，難以實現精確目標定位與反饋控制。

為此，無人機製造商引入了SingTown的OpenMV智能相機識別技術，整合AI機器視覺、目標追蹤算法及角度反饋功能，構建智能空中目標識別與定位系統。

Unmanned aerial vehicle manufacturers utilise SingTown Technology's OpenMV intelligent camera recognition technology to achieve real-time target detection, automatic tracking, and angle feedback output.

The camera module is integrated with the gimbal and installed beneath the fuselage of the fixed-wing drone. During flight, it employs image recognition and neural network training algorithms to continuously lock onto targets such as vehicles, individuals, or markers.

鎖定目標後，雲台會根據圖像偏移自動調整追蹤，並輸出目標的方位角與仰角。這些角度數據會透過串列埠或無線鏈路傳回地面站或主控微控制器，用於姿態調整或導航控制。

The system maintains high stability during flight, with recognition distance adjustable based on lens focal length and environmental conditions, adapting to variations in aerial lighting and background complexity.

利用OpenMV嘅邊緣端人工智能運算同圖像處理能力，系統能夠實現邊緣檢測、角度輸出同通訊反饋，無需依賴外部電腦。

透過SingTown Technology嘅機器視覺智能相機識別技術，無人機製造商成功實現咗對單一目標嘅實時追蹤同角度反饋定位，為空中監控、精準送貨同智能導航等任務提供咗高效低功耗嘅嵌入式視覺解決方案。