SingTown Technology brings AI visual security to elevators, intercepting electric vehicles year-round without interruption.

未經授權將電動滑板車帶入升降機充電，是住宅社區安全管理中的主要挑戰之一。

傳統紅外線或重量感應裝置無法準確識別「有人騎單車進入升降機」的情況，經常導致誤報或漏報。

為此，樓宇安防系統製造商引入了SingTown的OpenMV智能攝像頭識別技術。透過AI機器視覺與圖像識別算法，實現對進入電梯的電動滑板車進行實時識別與自動報警，從而提升社區電梯安全管理與控制的智能化水平。

Building security system manufacturers utilise SingTown's OpenMV intelligent camera recognition technology to achieve automatic identification and alarm for unauthorised electric vehicle entry into lifts.

The camera is installed on the top of the elevator car or above the door, positioned at a height of approximately 2–2.5 metres to overlook the detection area. It captures real-time data and utilises machine vision and image recognition technologies to analyse the characteristics of elevator users.

The system distinguishes pedestrians from electric scooters through contour detection, target classification, and feature matching algorithms. When electric scooter features (such as wheel shape, handlebar structure) are identified, it immediately triggers audible and visual alarms or sends a blocking signal to the lift control system.

The OpenMV smart camera incorporates edge AI, allowing for stable recognition under varying lighting and reflective conditions without the need for an external computer. The system only requires the identification of a single target to trigger an alarm, making it highly suitable for deployment and demonstration applications in building elevator lobbies.

透過SingTown Technology嘅OpenMV智能相機識別技術，建築物保安系統製造商成功實現咗由傳統感應器檢測到AI視覺識別警報嘅智能升級，顯著降低電動車進入升降機嘅風險，並提升升降機安全管理標準。