Object Detection with Voice Feedback Using DL

Project Code :TCMAPY535

Objective

The main objective of the project is to detect the object names and to get an output with voice.

Abstract

Object recognition is one of the challenging application of computer vision, which has been widely applied in many areas for e.g. autonomous cars, Robotics, Security tracking, Guiding Visually Impaired Peoples etc. With the rapid development of deep learning many algorithms were improving the relationship between video analysis and image understanding. All these algorithms work differently with their network architecture but with the same aim of detecting multiple objects within complex image. Absence of vision impairment restraint the movement of the person in an unfamiliar place and hence it is very essential to take help from our technologies and trained them to guide blind peoples whenever they need.

Keywords: - Tensor flow, Yolo_v7, Web Speech Api, Deep Learning

NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.

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