OpenMV
Shields
Lens
Robotics
Book
Video
Download
Docs
Forum
OpenMV.io
GithubThe unauthorized entry of electric scooters into elevators for charging is one of the key challenges in residential community safety management.
Traditional infrared or weight-sensing devices cannot accurately identify the scenario of "people riding bicycles into elevators," often resulting in 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 elevators, thereby enhancing the intelligent level of community elevator 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 elevator car or above the door, positioned at a height of approximately 2–2.5 meters 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 elevator control system.
The OpenMV smart camera features edge AI, enabling stable recognition under varying lighting and reflective conditions without requiring an external computer. The system only needs to identify a single target to trigger an alarm, making 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 elevators and enhancing elevator safety management standards.

AI Sentinel Based on OpenMV: Automatic Alert for Unsecured Key Locations
Automatically detects whether the doors of key locations remain open for an extended period and promptly issues alerts.

Personnel crossing the boundary triggers an alarm; OpenMV interprets the “sense of security boundary”
Detects personnel or equipment crossing virtual perimeter lines.

“AI Urban Management” is Here: An Automated Street Vending Detection System Built on OpenMV
Automatically identifies illegal street vending activities to support daily urban governance.

Improper storage of gas cylinders? Use OpenMV to automatically trigger hazard alerts
Automatically identifies non-compliant placement positions of gas cylinders to proactively detect potential gas safety hazards.

Did you perform live-line work without wearing insulating gloves? OpenMV will immediately issue an alert!
Automatically identifies whether personnel are wearing insulating gloves to assist in safe operations.

Utilize the OpenMV smart camera to detect surface defects on aluminum plates in real time
Online identification of defects such as scratches and dents on aluminium plate surfaces to support quality control.