Virtual Trail Room using Haar Cascade Classifier

In-store shopping experience continues to be the primary thing that involves mind for many people after they consider shopping. Although customers can wear clothes in real time, this process is simply too time consuming whenever there are queues lined up ahead of the trial room. This project VTRHC can change the way an individual tries out clothes and shop for the right one. Customers can assume a good range of clothes without having to physically wear them due to the concept of" Virtual Reality." Our goal is to create a virtual room environment that may be useful in the long term in order to increase time efficiency and improve accessibility to clothing. Various research groups have implemented the concept using various approaches. One of the research groups used a Kinect sensor and therefore the other used clustering for clearing the background and getting the border lines of the body. The best point of this strategy is that it saves time and work when it involves physically fitting items. The Open-CV is employed to enable the camera and take a user's live video then the garments onto the customer's body. We have used Haar Cascade Classifiers and Flash web framework.