Eye for Blind
Latha L1, Prrithivi R2, Varnessha V3, Priyadharshini B4
1Latha L, Professor, Department of Computer Science Engineering, Kumaraguru College of Technology, Coimbatore (Tamil Nadu), India.
2Prrithivi R, Student, Department of Computer Science Engineering, Kumaraguru College of Technology, Coimbatore (Tamil Nadu), India.
3Varnessha V, Student, Department of Computer Science Engineering, Kumaraguru College of Technology, Coimbatore (Tamil Nadu), India.
4Priyadharshini B, Student, Department of Computer Science Engineering, Kumaraguru College of Technology, Coimbatore (Tamil Nadu), India.
Manuscript received on 08 September 2019 | Revised Manuscript received on 17 September 2019 | Manuscript Published on 11 October 2019 | PP: 128-130 | Volume-8 Issue-11S September 2019 | Retrieval Number: K102809811S19/2019©BEIESP | DOI: 10.35940/ijitee.K1028.09811S19
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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: As Vision is one of the vital sense of human beings, that plays an important role in perceiving the surrounding environment. The blind’s capability to move around a particular place, organizing daily activities are of vital importance for their well-being. Organizing daily activities can be especially difficult; it is too hard to distinguish different items, just by feeling them with their hands.Even though many papers have been published that propose a variety of vision related services, still there is a scope for improvement in developing new electronic aids for the blind [4]. This paper proposesa system for identification of surrounding objects for blind people and also guiding them through voice. This method is actually based on the object detection technology and it uses YOLO algorithm to perform the object detection and classification of objects [4]. Thus, a visual substitution system based on feature extraction and matching is developed to recognize and locate objects and guide the blind people using voice control.
Keywords: Object Detection and Classification, YOLO Algorithm, Fully Convolutional Network and Text-to Speech Conversion.
Scope of the Article: Classification