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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 utilise SingTown's OpenMV intelligent camera to construct a condition monitoring system based on machine vision and image recognition. This system conducts real-time detection of status areas on screens (such as colour 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, which enables dynamic monitoring of industrial control interfaces through AI image recognition, color analysis, and OCR text detection technologies. 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 utilises colour recognition algorithms to monitor RGB changes in specific screen areas, combined with OCR algorithms to identify textual content variations. Upon detecting red alert blocks or text changes to "Stop" or "Abnormal," the system immediately outputs a high-level signal to the host computer or buzzer, triggering audible and visual alarms.
The system supports simultaneous monitoring of multiple areas (configurable with multiple detection frames), enabling independent deployment without modifying the existing surveillance system. It provides independent visual detection and safety alerts for status changes.
This solution possesses the unique advantage of edge deployment: no need for communication with PLC, easy installation, strong compatibility, and wide applicability in scenarios such as factory automation control rooms, equipment status monitoring stations, and unattended production lines.

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