Real time blind people assistive system based on OpenCV
Other Title(s)
نظام مساعدة المكفوفين في الزمن الحقيقي باستخدام OpenCV
Joint Authors
Ulaywi, Bushra Kazim
Hasan, Farah Fulayyih
Abbas, Abd al-Muhsin Mahmud
Source
Journal of University of Babylon for Engineering Sciences
Issue
Vol. 28, Issue 2 (31 Dec. 2020), pp.25-33, 9 p.
Publisher
Publication Date
2020-12-31
Country of Publication
Iraq
No. of Pages
9
Main Subjects
Mathematics
Information Technology and Computer Science
Abstract EN
The proposed system is very helpful for blind people, in term of taking an idea about the attendance person/s in their environment simultaneously, so an assistive system based on raspberry pi3 is developed to inform the blind how many persons are around.
This work focuses on face detection based on Haar cascade algorithm and OpenCV using python.
Satisfied results with different cases are obtained with high accuracy and short processing time, hence OpenCV reduce the delay for getting output, and Haar cascade algorithm increases the accuracy, the system is portable and very light to carry.
American Psychological Association (APA)
Hasan, Farah Fulayyih& Ulaywi, Bushra Kazim& Abbas, Abd al-Muhsin Mahmud. 2020. Real time blind people assistive system based on OpenCV. Journal of University of Babylon for Engineering Sciences،Vol. 28, no. 2, pp.25-33.
https://search.emarefa.net/detail/BIM-1316711
Modern Language Association (MLA)
Hasan, Farah Fulayyih…[et al.]. Real time blind people assistive system based on OpenCV. Journal of University of Babylon for Engineering Sciences Vol. 28, no. 2 (2020), pp.25-33.
https://search.emarefa.net/detail/BIM-1316711
American Medical Association (AMA)
Hasan, Farah Fulayyih& Ulaywi, Bushra Kazim& Abbas, Abd al-Muhsin Mahmud. Real time blind people assistive system based on OpenCV. Journal of University of Babylon for Engineering Sciences. 2020. Vol. 28, no. 2, pp.25-33.
https://search.emarefa.net/detail/BIM-1316711
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 31-32
Record ID
BIM-1316711