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 utilize SingTown's OpenMV intelligent camera recognition technology to achieve automatic identification and alarm for unauthorized electric vehicle entry into elevators.
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 utilizes machine vision and image recognition technologies to analyze 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 and handlebar structure are identified, it immediately triggers audible and visual alarms or sends a blocking signal to the elevator control system.
The OpenMV intelligent camera incorporates edge AI, allowing for consistent detection across diverse illumination and reflective environments without the need for an external computing device. The setup merely requires the identification of a solitary target to activate an alert, rendering it exceptionally appropriate for installation and presentation purposes within 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 issues timely 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 Automatic Unauthorized Vending Detection System Built on OpenMV
Automatically identifies illegal street vending activities to support daily urban governance.

Improper placement 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.

Performing live-line work without wearing insulating gloves? OpenMV issues an immediate alert!
Automatically identifies whether workers are wearing insulating gloves to assist in safe operations.

Utilize the OpenMV smart camera to perform real-time detection of surface defects on aluminum plates
Online identification of surface defects on aluminum plates—such as scratches and dents—to support quality control.