Android-based object recognition application for visually impaired

Detecting objects in real-time and converting them into an audio output was a challenging task. Recent advancement in computer vision has allowed the development of various real-time object detection applications. This paper describes a simple android app that would help the visually impaired people...

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Main Authors: Salunkhe Akilesh, Raut Manthan, Santra Shayantan, Bhagwat Sumedha
Format: Article
Language:English
Published: EDP Sciences 2021-01-01
Series:ITM Web of Conferences
Subjects:
Online Access:https://www.itm-conferences.org/articles/itmconf/pdf/2021/05/itmconf_icacc2021_03001.pdf
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author Salunkhe Akilesh
Raut Manthan
Santra Shayantan
Bhagwat Sumedha
author_facet Salunkhe Akilesh
Raut Manthan
Santra Shayantan
Bhagwat Sumedha
author_sort Salunkhe Akilesh
collection DOAJ
description Detecting objects in real-time and converting them into an audio output was a challenging task. Recent advancement in computer vision has allowed the development of various real-time object detection applications. This paper describes a simple android app that would help the visually impaired people in understanding their surroundings. The information about the surrounding environment was captured through a phone’s camera where real-time object recognition through tensorflow’s object detection API was done. The detected objects were then converted into an audio output by using android’s text-to-speech library. Tensorflow lite made the offline processing of complex algorithms simple. The overall accuracy of the proposed system was found to be approximately 90%.
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spelling doaj.art-2659ffeb8df34665b175b9f6428720e12022-12-21T20:16:01ZengEDP SciencesITM Web of Conferences2271-20972021-01-01400300110.1051/itmconf/20214003001itmconf_icacc2021_03001Android-based object recognition application for visually impairedSalunkhe Akilesh0Raut Manthan1Santra Shayantan2Bhagwat Sumedha3Department of Information Technology, Ramrao Adik Institute of TechnologyDepartment of Information Technology, Ramrao Adik Institute of TechnologyDepartment of Information Technology, Ramrao Adik Institute of TechnologyMentor from Department of Information Technology, Ramrao Adik Institute of TechnologyDetecting objects in real-time and converting them into an audio output was a challenging task. Recent advancement in computer vision has allowed the development of various real-time object detection applications. This paper describes a simple android app that would help the visually impaired people in understanding their surroundings. The information about the surrounding environment was captured through a phone’s camera where real-time object recognition through tensorflow’s object detection API was done. The detected objects were then converted into an audio output by using android’s text-to-speech library. Tensorflow lite made the offline processing of complex algorithms simple. The overall accuracy of the proposed system was found to be approximately 90%.https://www.itm-conferences.org/articles/itmconf/pdf/2021/05/itmconf_icacc2021_03001.pdftensorflowtensorflow litemachine learningcomputer visionobject recognitionandroid
spellingShingle Salunkhe Akilesh
Raut Manthan
Santra Shayantan
Bhagwat Sumedha
Android-based object recognition application for visually impaired
ITM Web of Conferences
tensorflow
tensorflow lite
machine learning
computer vision
object recognition
android
title Android-based object recognition application for visually impaired
title_full Android-based object recognition application for visually impaired
title_fullStr Android-based object recognition application for visually impaired
title_full_unstemmed Android-based object recognition application for visually impaired
title_short Android-based object recognition application for visually impaired
title_sort android based object recognition application for visually impaired
topic tensorflow
tensorflow lite
machine learning
computer vision
object recognition
android
url https://www.itm-conferences.org/articles/itmconf/pdf/2021/05/itmconf_icacc2021_03001.pdf
work_keys_str_mv AT salunkheakilesh androidbasedobjectrecognitionapplicationforvisuallyimpaired
AT rautmanthan androidbasedobjectrecognitionapplicationforvisuallyimpaired
AT santrashayantan androidbasedobjectrecognitionapplicationforvisuallyimpaired
AT bhagwatsumedha androidbasedobjectrecognitionapplicationforvisuallyimpaired