Application for the Visually Impaired People With Voice Assistant
Abhijeet Mohanta1, Shah Yash Jitendra2, Khandelwal Nikita Dinesh3, Wable Saurabh Suhas4, Aruna K. Gupta5
1Abhijeet Mohanta*, Pursuing Bachelor of Engineering (B.E), Information Technology, Department of Information Technology, Jayawantrao Sawant College of Engineering, Pune, India.
2Shah Yash Jitendra, Pursuing Bachelor of Engineering (B.E), Information Technology, Department of Information Technology, Jayawantrao Sawant College of Engineering, Pune, India.
3Khandelwal Nikita Dinesh, Pursuing Bachelor of Engineering (B.E), Information Technology, Department of Information Technology, Jayawantrao Sawant College of Engineering, Pune, India.
4Wable Saurabh Suhas, Pursuing Bachelor of Engineering (B.E), Information Technology, Department of Information Technology, Jayawantrao Sawant College of Engineering, Pune, India.
5Aruna K. Gupta, Asst. Prof. IT Department at JSPM’s JSCOE, Pune Affiliated to Savitribai Phule Pune University (SPPU).
Manuscript received on March 15, 2020. | Revised Manuscript received on March 28, 2020. | Manuscript published on April 10, 2020. | PP: 495-497 | Volume-9 Issue-6, April 2020. | Retrieval Number: F3789049620/2020©BEIESP | DOI: 10.35940/ijitee.F3789.049620
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Visual perception, while an important means to navigate the world, can be replaced, as proven and demonstrated by studies on perception in animals, including humans. The system uses the tools and techniques of machine learning to create an application that would help the visually impaired to see thus giving them newfound hope for enjoying the richness and complexity of the world, all the while successfully navigate in it. The android application presented in this paper aims to enable people with visual impairment to live more independently. It uses a smartphone to capture real-time input data, with this approach the user could easily read menu cards in restaurants, hotel room number or even find their belongings. The system can recognize various objects at which the user is looking in its surrounding. The app uses a voice control feedback mechanism through which the user can perform various tasks with the help of his voice.
Keywords: Machine Learning, Object Detection, Text Reader, Visually Impaired
Scope of the Article: Machine Learning