Abstract
Person identification which has been widely used in computer vision and one of the difficult applications employed in a variety of fields such autonomous vehicles, robots, security tracking, aiding visually impaired people, etc. As deep learning quickly developed, numerous algorithms strengthened the link between video analysis and visual comprehension. The goal of all these algorithms, regardless of how their network architectures operate, is to find many people inside a complicated image. The freedom of movement in an unknown environment is restricted by the absence of vision impairment, thus it is crucial to use modern technologies and teach them to assist blind people whenever necessary. We provide a system that will identify all potential daily multiple people and then prompt a voice to inform the user about both nearby and distant people.
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