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Object Detection And Recognition For Blind Assistance.

EasyChair Preprint no. 1962

3 pagesDate: November 16, 2019


The aim of this is to explore different methods for helping computers interpret the real world visually, investigate solutions to those methods offered by the open source computer vision library, OpenCV, and implement some of these in a Raspberry pi based application for detecting and keeping track of objects. The main focus rests on the practical side of the project.

The result of this thesis is a GNU/Linux based C/C++ application that is able to detect and keep track of object by reading the pixel value of frame captured by the Raspberry Pi camera module. The application also transmits some useful information, such as coordinates and size, to other computers on the network that send appropriate query.

Keyphrases: computer vision technique, object detection, object recognition

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Akshay Shinde and Pratik Bhagat and Sairaj Dhobale},
  title = {Object Detection And Recognition For Blind Assistance.},
  howpublished = {EasyChair Preprint no. 1962},

  year = {EasyChair, 2019}}
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