Open AccessReal-time object detection and face recognition system to assist the visually impaired
Author(s) -
Anish Aralikatti,
Jayanth Appalla,
S. Kushal,
Gondhi Naveen,
S. Lokesh,
B. S. Jayasri
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1706/1/012149
Subject(s) - computer science , mobile phone , computer vision , android (operating system) , visually impaired , artificial intelligence , face detection , facial recognition system , computer graphics (images) , human–computer interaction , feature extraction , telecommunications , operating system
The application system presented here is for use in an Android based mobile phone by the visually impaired for detecting objects in their vicinity, which will help them move around safely, without crashing into objects. The detection of objects is done from a real time video taken from the mobile phone camera. People and objects are detected from this video using OpenCV, YOLO and FaceNet. If a human is detected, the system identifies the person. His identity will then be converted into audio and presented to the user. Similarly, objects detected in the vicinity will be presented in audio format to the user.