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DressCode Monitoring System

Amal S. Panikar, Tanuja Patil, Bhausaheb E. Shinde

Abstract


This project aims to develop a dress code monitoring system using YOLO v5 object detection technology. The
system utilizes a camera to capture images or video footage of individuals entering a specific area and then uses YOLO v5 to
detect their clothing and ensure that it complies with the predefined dress code standards. The system utilizes a deep learning
algorithm to accurately recognize various clothing items and differentiate between compliant and non-compliant attire. By
leveraging YOLO v5's advanced capabilities, the system can detect multiple objects in real-time, providing efficient and
accurate dress code monitoring. The proposed system has potential applications in various settings, such as schools,
businesses, and public areas, to ensure compliance with dress code policies and maintain a professional environment.


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DOI: https://doi.org/10.37628/ijaic.v9i1.1883

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