Object Detection Using Image Processing For Blind Persons: A Review

Abstract

Abstract: The fundamental idea of detection of objects for videos is confirming an object's existence in a series of images and maybe pinpointing it specifically for identification. Monitoring an item's existence, location, size, form, and other physical and Changes in time throughout a video sequence is known as object tracking. The challenge of reproducing the designated area in consecutive frames of a set of photographs captured at closely spaced time intervals is referred to as the temporal correspondence problem. and it must be solved in order to do this. The two processes in question are interrelated. The foundation of tracking is detection, which often begins with the detection of objects. To aid and validate tracking, it is frequently required to identify an item repeatedly in a following image sequence. In light of this, the present review describes how object recognition using image processing might assist the blind.