Smart Blind Stick using Artificial Intelligence
Pruthvi S1, Pushyap Suraj Nihal2, Ravin R Menon3, S Samith Kumar4, Shalini Tiwari5
1Pruthvi S, School of C&IT, REVA University, Bengaluru (Karnataka), India.
2Pushyap Suraj Nihal, School of C&IT, REVA University, Bengaluru (Karnataka), India.
3Ravin R Menon, School of C&IT, REVA University, Bengaluru (Karnataka), India.
4S Samith Kumar, School of C&IT, REVA University, Bengaluru (Karnataka), India.
5Shalini Tiwari, Assistant Professor, School of C&IT, REVA University, Bengaluru (Karnataka), India.
Manuscript received on 04 June 2019 | Revised Manuscript received on 12 June 2019 | Manuscript Published on 29 June 2019 | PP: 19-22 | Volume-8 Issue-5S, May 2019 | Retrieval Number: E10040585S19/19©BEIESP
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Abstract: Smart Blind Stick is a device designed to help guide the visually impaired by detecting objects and portray the information to them in the form of speech. This reduces the human effort and gives better understanding of the surrounding. Furthermore it also provides an opportunity for visually impaired people to move from one place to another without being assisted by others. The device can also be used in old age homes where old age people have difficulty in their day to day activities due to decreased vision. With this paper, the aim to aid people in need to “see” the surroundings. Since the field of artificial intelligence is doing great progress now and features like object detection is getting easier and computationally feasible, these features are implemented in the paper. The paper focuses on object detection and classification on pictures which are captured by the device mounted on a stick whose information can then be relayed to the user in means of sound or speech.
Keywords: Object Detection, YOLO, Tensor Flow, eSpeak, Raspberry Pi, Blind, Visually Impaired.
Scope of the Article: Smart Antenna