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

The unauthorised entry of electric scooters into lifts for charging is one of the key challenges in residential estate safety management.

Traditional infrared or weight-sensing devices are unable to accurately identify the scenario of "people riding bicycles into lifts," often leading to false alarms or missed detections.

To this end, building security system manufacturers have introduced SingTown's OpenMV intelligent camera recognition technology. Through AI machine vision and image recognition algorithms, they achieve real-time identification and automatic alarm for electric scooters entering lifts, thereby enhancing the intelligent level of community lift safety management and control.

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 lift 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 lift 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 diverse lighting and reflective conditions without the need for an external computer. The system only requires identification of a single target to activate an alarm, rendering it highly suitable for deployment and demonstration applications in building elevator lobbies.

Through SingTown Technology's OpenMV intelligent camera recognition technology, building security system manufacturers have achieved an intelligent upgrade from traditional sensor detection to AI visual recognition alarms, significantly reducing the risk of electric vehicles entering lifts and enhancing lift safety management standards.