Retracted: Dress code Surveillance Using Deep learning

Abstract

The main idea of the project is to develop a web application for an educational institution or for an organization, where there is a need for surveillance of dress code. The idea of the dress code surveillance is to check whether the employees wear the ID card and shoe. Detecting an object in the large frame becomes a tedious task. Google lens and in build camera in smartphones has the feature of image processing and detection. In this system, an image frame is taken where the persons count is detected using face recognition. The employee without the ID card and shoe is detected and the count is obtained from the image. The detection is done using Digital Image Processing (DIP). Ensuring uniformity and detecting image at bad resolution are the merits of this system.