Savvy Shoes for Visually Challenged
Geetha Ramani J1, Swapna S2, Selwyn Paul P3, Sowmiya A4

1Dr. Geetha Ramani J, Department of Electronics and Communication Engineering, SNS College of Technology, Coimbatore, India.
2Swapna S*, Department of Electronics and Communication Engineering, SNS College of Technology, Coimbatore, India.
3Selwyn Paul P, Department of Mechanical Engineering, SNS college of Technology, Coimbatore, India.
4Sowmiya A, Department of Electronics and Communication Engineering, SNS College of Technology, Coimbatore, India. 

Manuscript received on April 08, 2021. | Revised Manuscript received on April 14, 2021. | Manuscript published on May 30, 2021. | PP: 12-15 | Volume-10 Issue-1, May 2021. | Retrieval Number: 100.1/ijrte.A56470510121 | DOI: 10.35940/ijrte.A5647.0510121
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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 paper clarifies about the smart assistive shoes for visually-impaired individuals. Our undertaking expects to build up a gadget that would fill in as a directing help to them. It centers around planning a gadget for visual weakened (or visually impaired) individuals that would assist them with traveling freely and furthermore without any difficulty. One of the biggest problems that the visually impaired ones face is traveling. Because they walk in the indoors and outdoors which they are not aware of the data about the obstacles around them. The venture comprises of the smart shoes that alarms visually impaired individuals over hindrances dividing their ways and could help them in travelling with less crash. We will include a vibration framework which will demonstrate them about the area of hindrance and the item is predominantly founded on sensor innovation Sensors are used in order to find the hindrance. Arduino UNO is used to control the entire system. So the system will be more effective as well as simple. It mainly targets the visually challenged people all over the world. 
Keywords: Blind Indication, Cost Efficient, Savvy Shoes, Sensor Innovation.