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         Features

The processes done with computer vision in taking human body measurements. The system reads captured images from the camera or uploads images from the web application. The images are used to determine the presence of a human object through feature detection by counting the visible focal points in the image. These images undergo preprocessing steps including focal point detection, image binary conversion, and edge detection. The images are then converted into binary format to segregate the background and object model in the frame, followed by edge detection using the Canny edge algorithm to filter out noise and define the range of edges in the images. After the image preprocessing the pixel measurements are then extracted from the processed images. Once the pixel measurements are extracted, it is then calculated to give the real-word measurements in centimeters. Notably, the position of the feature points can be robustly detected, defining horizontal and vertical coordinates of various body parts; of which the focal points used in the system are, shoulder, elbow, wrist, hip, knee and ankle. These focal points are used to measure the shoulder width, arm length, upper arm length, hip girth, hip height, thigh girth, knee girth, knee height, calf girth, and ankle girth.