Effective Shopping Method for Visually Impaired People using Optical Character Recognition
S.Meera1, R. Sharmikha Sree2, K .Valarmathi3
1S.Meera, Department of Computer Science and Engineering, Sri Sairam Engineering College, Chennai, Tamilnadu, India.
2R. Sharmikha Sree, Department of Computer Science and Engineering, Sri Sairam Engineering College, Chennai, Tamilnadu, India.
3Dr . K .Valarmathi, Department of M.E.(CSE), Pannimalar Engineering College, Chennai, Tamilnadu, India.
Manuscript received on September 13, 2019. | Revised Manuscript received on October 20, 2019. | Manuscript published on October 30, 2019. | PP: 5304-5306 | Volume-9 Issue-1, October 2019 | Retrieval Number: A2961109119/2019©BEIESP | DOI: 10.35940/ijeat.A2961.109119
Open Access | Ethics and Policies | Cite | Mendeley
© 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 impairment persons are not able to do all works as normal persons especially during purchasing products in supermarket. To help the blind peoples recognise the objects a text reading method is proposed along with the help of camera. A motion detection method is used to detect the presence of the object. The audio instructions about all the objects and their location in supermarket are notified to the blind user that helps them to move freely inside the supermarket. The proposed system aims to make more convenient for the blind persons to purchase in a sophisticated environment. This system also provides easy shopping, consumers time is saved, etc. The implementation of proposed system is done using artificial intelligence and OCR technology. General Terms Visually impaired people, smart shopping, OCR.
Keywords: Character recognition, Low power, Raspberry Pi 3, Speech Output, Python Programming.