MUMBAI, India, Aug. 10 -- Intellectual Property India has published a patent application (202641090949 A) filed by Dr. Varalatchoumy. M; Dr. Priyanka. R; Dr. Deepak N. R; and Dr. Reshma. J on July 27, 2026, for Ai-Enabled Multipoint Safety Harness Inspection And Real-Time Worker Compliance Monitoring System.
Inventors include Dr. Varalatchoumy. M; Dr. Priyanka. R; Dr. Deepak N. R; and Dr. Reshma. J.
The application for the patent was published on July 31, 2026, under issue no. 31/2026.
Abstract: The present invention discloses a method for the development of an Artificial Intelligence-enabled multipoint safety harness inspection and real-time worker compliance monitoring system for automatically detecting safety harness usage in hazardous industrial environments. The system comprises an embedded edge computing platform, preferably a Raspberry Pi 5, dual image acquisition devices, an artificial intelligence inference engine employing a TensorFlow Lite implementation of a MobileNetV2 neural network, a decision fusion module, a rechargeable portable power subsystem including a three-cell lithium-ion battery, Battery Management System (BMS), XL4050 buck converter, and an audible warning subsystem. Synchronized image streams captured from multiple viewpoints undergo preprocessing comprising RGB conversion, image resizing, normalization, and tensor generation before real-time inference. Predictions generated from individual cameras are fused to improve detection robustness and minimize false detections resulting from occlusion or varying worker orientations. Upon detection of safety harness non-compliance, the embedded processor immediately activates a GPIO-controlled buzzer to alert workers and supervisors. The disclosed system operates offline, ensuring low-latency, privacy protection, and reliable safety monitoring for various hazardous industrial environments such as construction sites, mining, and manufacturing. Its modular architecture allows for the integration of personal protective equipment detection and IoT safety applications. FIG.1
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