Real Time Object Detection with Audio Feedback using Yolov3

Project Code :TCMAPY558

Objective

The main objective of this project is to detect objects and give audio feedback to blind people

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.

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

Block Diagram

Specifications

SOFTWARE AND HARDWARE REQUIREMENTS:

 

Operating system :  Windows 7 or 7+

Ram :  8 GB

Hard disc or SSD :  More than 500 GB

Processor :  Intel 3rd generation or high or Ryzen with 8 GB Ram

Software’s :  Python 3.6 or high version, Visual studio, PyCharm.

 

Learning Outcomes

LEARNING OUTCOME:

·        Django

·        Yolov3

·        Frontend

·        Backend

·        API

·        Webcam.js

Demo Video

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