Object-and-Walkable-Path-Detection. Object detection is a technique in computer vision that lets us locate and identify objects in an image or video. This kind of identification and localization via object detection allows us to count objects in a scene and determine and track their precise locations, all while accurately labeling them. In this paper, we have described the implementation of an object detection API using SSD inception to detect obstacles in a path. After the objects are detected, the user is presented with navigation commands and conditions. The scope of the paper covers how the corresponding walkable path is planned according to the detected obstacles and this project can be used as an application for navigation assistance for the blind and as well as robots.
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