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Differently-disabled people having the disorders like paralysis, limb deficiency Amelia, or amputee. Various work was done on detecting and tracking the differently-abled people for the perception of people and their mobility aids. Different combination of Fast R–CNN and Faster R–CNN with Red Green and Blue or Depth (RGB or RGB-D) camera were used. There are several state-of-the-art deep learning models e. g. Yolo and its different variants that detect and track perception of people. This research uses detection and tracking the differently-abled people with paralysis, limb deficiency Amelia, or amputee. The research purposed Yolov5 (You Only Look Once, Version 5) model of deep learning with a camera to detect and track the differently-abled people in real-time having the disorders. A Ubiquitous system for the detection of differently-abled people using deep Learning based YOLO (You Only Look Once …