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2021 | OriginalPaper | Buchkapitel

IRIS: An Application for the Visually Impaired Using Google Cloud API

verfasst von : Kajal Naik, Nikita Sawant, Gauravi Kamat, Siddhi Kandolkar, Niyan Marchon

Erschienen in: Advances in Signal and Data Processing

Verlag: Springer Singapore

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Abstract

The visually impaired struggle to walk safely without having any human guidance. They face several problems in their lives which include identifying the hindrances when they are walking. Traveling from one place to another is a tedious task for them requiring the help of other people. White canes and guide dogs are usable but are not fully reliable. Due to this disability, they have to go through a lot of hardships to conquer over the problems in navigation. Thus there is a need for a smart solution which would overcome the challenges faced. Focus is on designing one kind of a visual aid which is cost-effective and efficient. In this context, we propose a smart stick (IRIS) to help the user in obstacle detection and navigation. A conventional PVC pipe forms the stick on which ultrasonic sensors, camera, GPS module, GSM Module which are all interfaced with Raspberry Pi are mounted at different positions to detect and identify obstacles in the path of the user. Google Cloud Vision API recognizes the objects in the surroundings and delivers an audio signal about the same via earphones. The sense of sight of the user is now achieved by the sense of hearing. It also uses a GSM Module and a GPS module to contact the user’s relatives in emergency situation by sending them the user’s location. The whole device’s design ensures independence to the user.

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Literatur
1.
Zurück zum Zitat Seema U, Shivaji S, Sujit G, Dinesh K, Suraj C (2006) Object detection system for blind people. Int J Innov Res Comput Commun Eng Seema U, Shivaji S, Sujit G, Dinesh K, Suraj C (2006) Object detection system for blind people. Int J Innov Res Comput Commun Eng
2.
Zurück zum Zitat Vanitha M, Rajiv A, Elangovan K, Vinoth Kumar S (2018) A smart walking stick for visually impaired using raspberry pi. Int J Pure Appl Math Vanitha M, Rajiv A, Elangovan K, Vinoth Kumar S (2018) A smart walking stick for visually impaired using raspberry pi. Int J Pure Appl Math
3.
Zurück zum Zitat Daniyal R, Faheem A, Habib A, Zakir Ahmed S, Aamir S (2014) Smart obstacle detector for blind person. J Biomed Eng Med Imaging Daniyal R, Faheem A, Habib A, Zakir Ahmed S, Aamir S (2014) Smart obstacle detector for blind person. J Biomed Eng Med Imaging
4.
Zurück zum Zitat Mohamedarif R, Khazi SBA, Sushmita S, Mrityunjay CK, Sharda KS (2019) Smart stick for blind using machine learning. Int J Innov Sci Res Technol Mohamedarif R, Khazi SBA, Sushmita S, Mrityunjay CK, Sharda KS (2019) Smart stick for blind using machine learning. Int J Innov Sci Res Technol
5.
Zurück zum Zitat Roshan R, Dinesh P, Paresh K, Deesha R, Indu D (2018) Proposed system on object detection for visually impaired people. Int J Inf Technol (IJIT) Roshan R, Dinesh P, Paresh K, Deesha R, Indu D (2018) Proposed system on object detection for visually impaired people. Int J Inf Technol (IJIT)
Metadaten
Titel
IRIS: An Application for the Visually Impaired Using Google Cloud API
verfasst von
Kajal Naik
Nikita Sawant
Gauravi Kamat
Siddhi Kandolkar
Niyan Marchon
Copyright-Jahr
2021
Verlag
Springer Singapore
DOI
https://doi.org/10.1007/978-981-15-8391-9_3

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