Navigation System for Blind – Third Eye
Samartha Koharwal1, Samer Bani Awwad2, Aparna Vyakaranam3
1Samartha Koharwal, Department of Computer Engineering and Computer Science, Manipal International University, Malaysia.
2Samer Bani Awwad, Department of Computer Engineering and Computer Science, Manipal International University, Malaysia.
3Aparna Vyakaranam, Department of Computer Engineering and Computer Science, Manipal International University, Malaysia.
Manuscript received on 07 March 2019 | Revised Manuscript received on 20 March 2019 | Manuscript published on 30 March 2019 | PP: 1086-1093 | Volume-8 Issue-5, March 2019 | Retrieval Number: E3359038519/19©BEIESP
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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: Visual impairments people with severe condition are unable to move independently. In this fast moving world, these people are generally left underprivileged. Few methods have been used to help them and provide them with some level of mobility comfort. Conventional methods such as trained dogs or a cane are not reliable enough in providing sufficient information of possible hindrances. Moreover, training and managing dogs is challenging task. There are some guidance systems which use RFID technology. However, this technology cannot be used in an outdoor open area. In this paper, an AI based system titled “Navigation System for Blind – Third Eye” is proposed. In order to support blind and visually impaired people’s mobility indoor and outdoor, this work proposes a simple electronic guidance embedded vision system which is configurable and efficient. The system utilizes three types of devices including IR sensor, sonar sensor and camera. A microcontroller processes the reflected signals from all devices in order to classify front obstacle. This system can be fasten to a hat or to a pen-sized hand mini stick. The system provides affordable and reliable solution and also helps the impaired people to be highly self-dependent.
Keyword: IR, RFID, There, This System ,Conventional.
Scope of the Article: System Integration