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

The door is not closed; any incident would constitute a “major accident.” Manual inspections cannot adequately cover the frequent changes in door status. OpenMV enables continuous system monitoring of the door’s status.

机房/配电房/单元门敞开识别

If the entrances to the server room, power distribution room, and residential units remain open for extended periods, safety incidents such as unauthorized entry, equipment damage, theft, or electric shock may easily occur, making this a high-risk link in operation and maintenance management.

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

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

After the camera is deployed at the entrance, OpenMV performs door-object recognition on-device and analyzes the door panel’s angle, opening extent, 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.

When the system detects that a door has remained open for an extended period or has been opened outside of authorized hours, it can instantly generate an alert on the edge device and trigger integrated responses with access control systems, operations and maintenance platforms, or on-duty personnel to enable automated handling.

Since the judgment logic runs directly on the camera’s edge side, the system operates stably and responds rapidly, making it highly suitable for scenarios with extremely high requirements for continuity and reliability, such as server rooms and power distribution rooms. OpenMV upgrades infrastructure operation and maintenance from “manual inspection” to “continuous perception and proactive early warning.”

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