📞 +91-7667918914 | ✉️ ijarcce@gmail.com
IJARCCE Logo
International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 8, ISSUE 2, FEBRUARY 2019

Real Time Objects Recognition and Classification using Deep Learning Algorithm for Blind Peoples

K. Sivakumar, Devi K G, Nikhil P C

DOI: 10.17148/IJARCCE.2019.8256

Abstract: Object detection mainly deals with identification of real- world objects such as people, animals and objects of suspense or threatening objects. Object detection algorithms use a wide range of image processing applications for extracting the objects desired portion. It is commonly used in applications such as image retrieval, security, medical defense. In this project consider as the real time object Recognition & Classification using deep learning algorithms after that Classification objects output hear sound what categories of the object present in near we are find it. So the project will implement on PYTHON 2.7.15.

Keywords: Object Detection, Image Processing, Tracking, Deep Neural Network

How to Cite:

[1] K. Sivakumar, Devi K G, Nikhil P C, “Real Time Objects Recognition and Classification using Deep Learning Algorithm for Blind Peoples,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2019.8256