Human Identification SystemFor Blind Using Raspberry ¬¬Pi And OpenCV- Python

  • Tathagata Mitra, Shilpa S. Jahagirdar, Sayyed Abdulrazzaque Jalil Kadiri, Lalan Kumar

Abstract

Speech and text is the primary medium for human communication. One needs the power of vision to access the information in a text. However, those who have poor vision can gather information from another medium which is voice. This system is a camera based assistive human identification device to help a visually impaired person in recognizing the people of the same organization the former is working in. The faces are detected when a person enter into the frame of the camera. The proposed idea involves face detection using Haar feature-based cascade classifier. The system is provided with a camera that captures the image. The captured image is then processed by using algorithm for the detection of face(s) and then comparison of the processed image with the image stored in the database is done using the PCA algorithm. The scope of this database (in this system) will be limited up to a particular organization like office or workplace of that person. Once the face-recognition is completed and match is found then, the name of the person recognized (stored in database as filename) is converted into speech signal to give it as output through speaker or headphones. The algorithm is implemented using OpenCV in Python language. OpenCV is basically a software that trains the algorithm to minimize the stages to identify the positive image (Image containing face).

Published
2020-07-01