DOIONLINE 
DOIONLINE Publish In |
International Journal of Advances in Electronics and Computer Science-IJAECS |
 Journal Home Volume Issue |
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Issue |
Volume-10,Issue-9 ( Sep, 2023 ) | |||||||||
Paper Title |
Real-Time Object Detection & Information Retrieval Using Deep Learning | |||||||||
Author Name |
Shital Katkade, Ramesh Manza, Pravin Yannawar | |||||||||
Affilition |
Department of Computer Science & Information Technology, Dr. Babasaheb Ambedkar Marathwada University Aurangabad, India | |||||||||
Pages |
32-37 | |||||||||
Abstract |
Blindness or visual impairment is a problem that affects people everywhere. At least 2.2 billion people worldwide have some sort of vision impairment or blindness, of whom at least 1 billion are blind, according to the World Health Organisation (WHO) [1]. Regionally speaking, low- and middle-income areas have a four times higher prevalence of vision impairment than high-income areas. White sticks, assistance pets, screen-reading software, magnifying lenses, and other mobility aids are typically required for blind people; however, in order to assist the blind, To instruct people about items in addition to their physical placements, the audio world must be changed from the visual world. Therefore, we recommend using a method that is most practical, small, and affordable to assist the visually impaired. So, We presented a system employing a Raspberry Pi and the YOLO v3 machine learning algorithm that has been trained on the COCO database. This method not only allows those who are visually impaired to move around, but it also lets them know that there are XYZ objects ahead rather just barriers in their path. Keywords - deep learning, raspberry pi, OpenCV, gTTS, YOLO | |||||||||
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