OpenMV
Shields
Lens
Robotics
Book
Video
Download
Docs
Forum
OpenMV.io
GithubIn the factory automation monitoring site, the status of production equipment is typically displayed on monitoring interfaces such as PLC or DCS screens. When the equipment status changes from "Running" to "Stopped" or an alarm occurs, if it is unattended or the monitoring personnel are negligent, it can easily lead to production delays or safety risks.
To this end, industrial automation system manufacturers adopt SingTown Technology's OpenMV smart camera to build a condition monitoring system based on machine vision and image recognition. This system performs real-time detection of status areas on screens (such as color changes and text variations) and automatically issues alert signals or alarms when abnormal conditions are detected.

Industrial automation manufacturers have developed a screen status recognition system based on the OpenMV smart camera, utilizing AI image recognition, color analysis, and OCR text detection technologies to achieve dynamic monitoring of industrial control interfaces. The camera is fixed in front of the display screen, capturing real-time images of designated status areas, such as text or color blocks indicating "Running," "Stopped," "Alarm," and others.
The system utilizes a color recognition algorithm to monitor RGB changes in specific screen areas and combines it with an OCR algorithm to detect changes in text content. When a red alert block or text changes to "Stop" or "Abnormal" are detected, the system immediately outputs a high-level signal to the host computer or buzzer, triggering audible and visual alarms.
The system supports simultaneous monitoring across multiple areas (configurable with multiple detection frames), can be independently deployed without modifying the existing surveillance system, and enables independent visual detection and safety alerts for status changes.
This solution possesses the unique advantage of edge deployment: no need for communication with PLC, simple installation, strong compatibility, widely applicable in scenarios such as factory automation control rooms, equipment status monitoring stations, and unattended production lines.

AI Sentinel Based on OpenMV: Automatic Alert for Unsecured Key Locations
Automatically detects whether the door of a key location has remained open for an extended period and promptly issues an alert.

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

“AI City Management” is Here: An Automated Vending-Obstruction 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 Warnings
Automatically identifies unauthorized placements of gas cylinders to proactively detect gas-related safety hazards.

Performing 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.

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