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AI Sentinel Based on OpenMV: Automatic Alert for Unsecured Key Locations

The door is not closed; any incident that occurs would constitute a “major incident”. Manual inspections cannot adequately cover the frequent changes in door status. OpenMV enables the system to continuously monitor the door’s status.

机房/配电房/单元门敞开识别

If the entrances to the server room, electrical distribution room, and residential units remain open for extended periods, this may lead to unauthorised entry, equipment damage, theft, or even electric shock—posing significant safety hazards and representing a high-risk area in operations and maintenance management.

Traditional methods rely primarily on manual inspections or access control log reviews, making it difficult to promptly detect frequent changes in door status, with issues often only identified after the fact.

Based on the SingTown OpenMV smart camera, continuous and automated visual monitoring of access control status can be performed.

After deployment at the entrance, OpenMV performs door-object detection on-device and analyses the door panel’s angle, degree of opening, and morphological changes to determine whether the door is closed, partially open, or fully open. Time-based rules can also be applied to distinguish between brief, normal openings and prolonged, abnormal openings.

The system can instantly generate an alert on the device side when a door remains open for an extended period or is opened outside permitted hours, thereby triggering integrated actions with the access control system, operations and maintenance platform, or on-duty personnel to enable automated response.

As the decision-making logic runs directly on the camera’s edge device, the system operates stably and responds rapidly, making it highly suitable for environments such as server rooms and electrical distribution rooms—where continuity and reliability are critically important. OpenMV elevates infrastructure operations and maintenance from “manual inspection” to “continuous sensing and proactive alerting.”

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