Student Dress Code Monitoring using Machine Learning and Real Time Object Detection
G. Aravinth, S. Gnanaprakash, M. Manikandan, V. Dhivya · 2025
Professional and academic institutions should enforce discipline and uniformity in attire within their premises by maintaining adherence to organizational standards. Monitoring this is usually done in time-consuming, error-prone, and inefficient methods. Thus, it is highly inefficient to undertake these types of efforts especially in large-scale institutions or workplaces. The system hereby proposed is an automated capturing and evaluating attire for dress code compliance verification. The system is concentrating on the detection of the items in demand such as ID cards, formal shoes, and ties; it detects the violation including missing ID cards, lack of shoes, or casual footwear. After judgment, the system clearly shows compliance or non-compliance. The proposed system with the inclusion of a quicker, consistent, and reliable solution for dress code monitoring reduces human intervention to a minimum and increases organizational efficiency.