A Camera Based Dress Inspection System

Abstract

This project is aimed at streamlining compliance with dress codes at University using AI and computer vision. The Inspection System through the web is able to identify students violating the dress code when they join the university campus. Through live stream at the entrance with a camera and, using a learning model, the system checks if a student wears clothing that defies the rules. Besides, the system allows administrators to choose from either manually entering students enrollment or scanning their bar-codes and it does this using information from their IDs. A student sign-up form is available for students to use to register themselves. After approval from the admin, a student may sign in to their personal dashboard and use the provided system. Using the dashboard, students get to see their finer details, send the fee challan for review and print the challan form to hand in. Here, there is no guard involved, as the policy is always followed and chances of mistakes are reduced. It takes advantage of computer vision, machine learning and web development to provide a straightforward system that helps manage the school and emphasizes discipline. The end goal is to sustain a professional campus by using AI and automation to see if students wear the right attire and to enforce fine policies if they don’t.