Object and Face Recognition Using Raspberry Pi

Authors

  • Divya S  UG Scholar, Department of Computer Science and Engineering, Akshaya College of Engineering and Technology, Coimbatore, India
  • Kowsalya K  UG Scholar, Department of Computer Science and Engineering, Akshaya College of Engineering and Technology, Coimbatore, India
  • Shalu Sunil  UG Scholar, Department of Computer Science and Engineering, Akshaya College of Engineering and Technology, Coimbatore, India
  • Subashini V  UG Scholar, Department of Computer Science and Engineering, Akshaya College of Engineering and Technology, Coimbatore, India
  • Suvetha V  Assistant Professor, Department of Computer Science and Engineering, Akshaya College of Engineering and Technology, Coimbatore, India
  • Dr. Suguna N  Professor, Department of Computer Science and Engineering, Akshaya College of Engineering and Technology, Coimbatore, India

Keywords:

OCR, Raspberry pi, frame, object, face recognition.

Abstract

Speech and text is the main medium for human communication. A person needs vision to access the information in a text. However, those who have poor vision can gather information from voice. This paper proposes a camera based assistive text reading to help visually impaired person in reading the text present on the captured image. The Object can also be detected when a person enters into the frame by the mode control. The proposed idea involves text extraction from scanned image using Tesseract Optical Character Recognition (OCR) and converting the text to speech by e-Speak tool, a process which makes visually impaired persons to read the text. This is a prototype for blind people to recognize the products in real world by extracting the text on image and converting it into speech. Upon entering the camera view previously stored faces are identified and informed which can be implemented.

References

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2019-03-30

Issue

Volume 5, Issue 2, March-April-2019

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Divya S, Kowsalya K, Shalu Sunil, Subashini V, Suvetha V, Dr. Suguna N, " Object and Face Recognition Using Raspberry Pi, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 5, Issue 2, pp.674-679, March-April-2019.