Helping Hand for Unsighted People-Acousticsight
Abarna M1, Jane Lourde Teresha A2, Devisri R3, Maithreyini M4, V. Kumar Chinnaiyan5

1Abarna M*, electrical and electronics engineering department, of the KPR institute of engineering and tecnology ,arasur.
2Jane Lourde Teresha electrical and electronics engineering department, of the KPR institute of engineering and tecnology, arasur.
3Maithreyini M , electrical and electronics engineering department, of the KPR institute of engineering and tecnology ,arasur.
4Devisri R, Electrical and electronics engineering department, of the KPR institute of engineering and tecnology, arasur.
5V. Kumar Chinnaiyan, Electrical and electronics engineering department, of the KPR institute of engineering and tecnology, arasur.

Manuscript received on August 01, 2020. | Revised Manuscript received on August 05, 2020. | Manuscript published on September 30, 2020. | PP: 533-536 | Volume-9 Issue-3, September 2020. | Retrieval Number: 100.1/ijrte.C4584099320 | DOI: 10.35940/ijrte.C4584.099320
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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: Technology is best when it brings people together. Today technology plays a vital role in humanity. Also applied science can make the impossible possible. The proposed project aims to show equality in the safe navigation of visually impaired people just like a normal person. The project aims to help the secure guidance of humans with bad eyesight. This system support the sole in attaining the landing place, leading them across the way and alert them about the barrier that are expected in their path through the vibration and generate simulated speech output through headset. Therefore, this technology hold back them from striking the barrier. It add on value to conventional canes with barrier predicting, preventing human from accident and reducing difficulties in navigation. An ultrasonic sensor is execute to determine the distant of obstacles from the person. It is a Raspberry Pi based platform that is used to alert the person of impending obstacles. Also can create the place for all other components and it has functioning code. Here, a vibration motor is used to warn the person from the collision. Combined with the role of guiding, it also has aid preventing plan in case of emergency. The GPS is included to find the location of person and the location is sent to the person’s family through the notification by means of Blynk app. Accordingly, The project convince the visually impaired people can travel alone without getting fear or accidents at the moment. 
Keywords: Visually impaired, sensing, vibration motor, barrier prediction.