Work

Safe Site Ppe Detection

Year: 2025

Type: article

Abstract: Personal Protective Equipment (PPE) compliance is crucial in construction, manufacturing, and hazardous industrial environments.Traditional manual monitoring methods are prone to human error and cannot ensure real-time safety compliance.This research presents an AI-powered PPE Detection System using computer vision techniques to automatically identify whether workers are wearing safety helmets, jackets, gloves, and other protective gear.The model leverages deep learning (YOLO/SSD) to analyze live video feeds and raise alerts for violations.The system aims to minimize workplace accidents and enhance automated safety surveillance.

Source: International Journal of Innovative Research in Technology

DOI: 10.64643/ijirtv12i7-188963-459

Authors: Chandana M R, Kavana S Haratal, Kruthi A, Priya Y, Dr. Hanumanthappa S, Rudresh H M

Language: English

Topic: Advanced Neural Network Applications

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDGs: Good health and well-being, Industry, innovation and infrastructure

Open Access status: hybrid

OpenAlex ID: W7117121001

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