Paper Title
OBSTACLE AVOIDANCE FOR BLIND PEOPLE USING MACHINE LEARNING
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Authors
Keywords
object detection, TTS technology, YOLO algorithm, position estimation, computer Vision, speech_recognition
Abstract
Lately, object recognition technology has seen a number of technologies being used in self-driving cars, robots and industrial facilities. Nonetheless, it is the visually impaired who need these technologies the most but gain least from them. The aim of this paper was to develop an object detection system for blind people using deep learning techniques. In addition to that, voice guidance technique is mentioned as a way of informing individuals with sight problems where objects are located. You Only Look Once (YOLO) algorithm is employed in an object recognition deep learning model and text-to-speech (TTS) is used to synthesize a voice announcement making it convenient for blind individuals to acquire information about objects. Consequently, it presents an effective object detecting system which aids the blind in finding things within a confined area without assistance from others; and the performance of this system has been verified through experiments. distance estimation from where object is coming
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How To Cite (APA)
Mrs.J. Ranganayaki, P.iyonstan, barath.s, Dasari Rajkumar, & sandeep.A (April-2024). OBSTACLE AVOIDANCE FOR BLIND PEOPLE USING MACHINE LEARNING. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(4), b902-b907. https://ijnrd.org/papers/IJNRD2404210.pdf
Issue
Volume 9 Issue 4, April-2024
Pages : b902-b907
Other Publication Details
Paper Reg. ID: IJNRD_215596
Published Paper Id: IJNRD2404210
Downloads: 000122254
Research Area: Computer Science & TechnologyÂ
Author Type: Indian Author
Country: kanchipuram, tamilnadu, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2404210.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2404210
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