A Vision System for Automated Personal Protective Equipment Identification using Deep Learning
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A Vision System for Automated Personal Protective Equipment Identification using Deep Learning
Dr. K. Satyam1, Patti Sirisha2
1Associate Professor, Department of MCA, Annamacharya Institute of Technology & Sciences, Tirupati, AndhraPradesh, India.
2 Post Graduate, Department of MCA, Annamacharya Institute of Technology & Sciences, Tirupati, Andhra Pradesh,India.
Abstract:In industrial settings, where the failure to wear Personal Protective Equipment (PPE) like helmets, safety vests, and gloves can result in serious injuries and accidents, workplace safety is a major concern. Manual supervision, which is frequently ineffective, time-consuming, and prone to human mistake, is a major component of traditional PPE compliance monitoring techniques. This paper suggests an automated vision-based solution for PPE identification utilising deep learning techniques in order to overcome these issues. The created method uses an object detection model based on convolutional neural networks to recognise and categorise PPE components in photos. The algorithm can accurately detect numerous objects at once after being trained on a labelled dataset that includes different PPE categories. The trained model is included into a web application created with the Django framework to improve accessibility and usability. Through an interactive interface, users can input photographs and get real-time detection results. By guaranteeing adherence to safety requirements, the suggested solution not only increases monitoring efficiency but also lowers the chance of workplace accidents. The model is appropriate for real-world deployment since experimental findings show that it produces dependable performance under various scenarios. This method demonstrates how deep learning and web technologies can be combined to provide intelligent safety monitoring systems for industrial settings.
Keywords:PPE Detection, Deep Learning, Computer Vision, Object Detection, YOLO, Workplace Safety, Django, Image Classification, Safety Compliance, Industrial Automation
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