Abstract
Abstract: Real-time object detection is the task of doing object detection in real-time with fast inference while main- taining a base level of accuracy. Real time object detection helps the visually impaired detect the objects around them. Object detection can be done using different models such as the yolov3 model and the ssd mobilenet model. This paper aims to review and analyze the implementation and performance of various methodologies for real time object detection which will help the visually impaired. Each technique has its advantages and limitations. This paper helps in the review of different methods and help in selecting the best method for object detection.
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