Did you perform live-line work without wearing insulating gloves? OpenMV will immediately issue an alert!

At live-line working sites, a single moment of negligence may lead to serious consequences. Relying solely on safety inspectors for patrols makes it difficult to ensure continuous monitoring throughout the entire process. OpenMV enables the system to perform real-time judgment on whether gloves are being worn.

Correct wearing of insulating gloves during power maintenance, live-line work, and equipment maintenance is a critical prerequisite for ensuring personnel safety. However, in actual operational scenarios, traditional supervision methods largely rely on on-site monitoring by safety officers or post-event inspections, making it difficult to achieve comprehensive and continuous standardized control.

Based on SingTown’s OpenMV intelligent camera, the system can automatically and in real time identify whether workers are wearing protective equipment, upgrading safety inspections from “manual monitoring” to “system perception.”

The camera can be deployed above the work area or at critical operation points. OpenMV continuously captures operational footage at the edge, locates workers through human detection algorithms, and further performs fine-grained detection and tracking of hand regions.

By integrating color feature, shape contour, and wearing status recognition models, the system can accurately determine whether personnel are wearing insulating gloves and identify cases of non-wearing or improper wearing.

When violations are detected, OpenMV can instantly output alarm signals on the edge side to trigger on-site audio-visual alarms, voice prompts, or operational systems, enabling immediate intervention and preventing hazardous operations from continuing.

Since all identification and judgment are completed on the camera’s edge side, the system does not rely on cloud computing, ensuring fast response times and stable deployment—particularly suitable for environments with extremely high requirements for real-time performance and reliability, such as power field sites. Through OpenMV’s edge-side AI vision capabilities, safety protection shifts from “relying on experience and manual work” to “relying on data and systems,” significantly reducing safety risks caused by human error.