Real-Time Object Detection for Aiding Visually Impaired using Deep Learning 
M. Vaidhehi1, Varun Seth2, Bhavya Singhal3
1M. Vaidhehi*, Assistant Professor, Dept. of CSE, SRM Institute of Science and Technology, Chennai, India.
2Varun Seth, Dept. of CSE, SRM Institute of Science and Technology, Chennai, India.
3Bhavya Singhal, Dept. of CSE, SRM Institute of Science and Technology, Chennai, India.
Manuscript received on March 28, 2020. | Revised Manuscript received on April 25, 2020. | Manuscript published on April 30, 2020. | PP: 1600-1605 | Volume-9 Issue-4, April 2020. | Retrieval Number: D8374049420/2020©BEIESP | DOI: 10.35940/ijeat.D8374.049420
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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: This research aims to create an assistive device for the people who are suffering from vision loss or impairment. The device is designed for blind people to overcome the daily challenges they face which may be perceived to be trivial to normal people. The device is created by using advance computer science technologies such as deep learning, computer vision and internet of things. The device created would be able to detect and classify daily objects and give a voice feedback to the user who is handicapped with blindness.
Keywords: Visually impaired, object detection, deep learning, computer vision, internet of things