ALO: AI for Least Observed People

Shamim Al Mamun; Mohammad Eusuf Daud; Mufti Mahmud; M. Shamim Kaiser; Andre Luis Debiaso Rossi

doi:10.1007/978-3-030-82269-9_24

ALO: AI for Least Observed People

Shamim Al Mamun^*
, Mohammad Eusuf Daud
, Mufti Mahmud
, M. Shamim Kaiser
, Andre Luis Debiaso Rossi

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

5 Scopus citations

Abstract

In recent years, visual assistants of humans are taking place in the consumer market–the eye-line of humans equipped with a see-through optical display. Computer Vision Technology may play a vital role in visually challenged people to carry out their daily activities without much dependency on others. In this paper, we introduce ALO (AI for Least Observed) as an assistive glass for blind people. It can listen as a companion, read from the internet on the fly, detect surrounding objects and obstacles for freedom of movement, and recognize the faces he is communicating with. This glass can be a virtual companion of the users for social safety from unknown people, reduce the dependency of others. This system uses the camera for identifying human faces using MTCNN deep learning technique, bone conduction microphone, and google API (Application Programming Interface) for translating voice to text and text to bone conduction sound. A Market Valuable Product (MVP) has already been developed depending on our survey of over 300 visually impaired persons in Europe and Asia.

Original language	English
Title of host publication	Applied Intelligence and Informatics - 1st International Conference, AII 2021, Proceedings
Editors	Mufti Mahmud, M. Shamim Kaiser, Nikola Kasabov, Khan Iftekharuddin, Ning Zhong
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	306-317
Number of pages	12
ISBN (Print)	9783030822682
DOIs	https://doi.org/10.1007/978-3-030-82269-9_24
State	Published - 2021
Externally published	Yes
Event	1st International Conference on Applied Intelligence and Informatics, AII 2021 - Virtual, Online Duration: 30 Jul 2021 → 31 Jul 2021

Publication series

Name	Communications in Computer and Information Science
Volume	1435
ISSN (Print)	1865-0929
ISSN (Electronic)	1865-0937

Conference

Conference	1st International Conference on Applied Intelligence and Informatics, AII 2021
City	Virtual, Online
Period	30/07/21 → 31/07/21

Bibliographical note

Publisher Copyright:
© 2021, Springer Nature Switzerland AG.

Keywords

Blind vision
Face recognition
Object detection
Smart glass

ASJC Scopus subject areas

General Computer Science
General Mathematics

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1007/978-3-030-82269-9_24

Cite this

Mamun, S. A., Daud, M. E., Mahmud, M., Kaiser, M. S., & Rossi, A. L. D. (2021). ALO: AI for Least Observed People. In M. Mahmud, M. S. Kaiser, N. Kasabov, K. Iftekharuddin, & N. Zhong (Eds.), Applied Intelligence and Informatics - 1st International Conference, AII 2021, Proceedings (pp. 306-317). (Communications in Computer and Information Science; Vol. 1435). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-82269-9_24

Mamun, Shamim Al ; Daud, Mohammad Eusuf ; Mahmud, Mufti et al. / ALO : AI for Least Observed People. Applied Intelligence and Informatics - 1st International Conference, AII 2021, Proceedings. editor / Mufti Mahmud ; M. Shamim Kaiser ; Nikola Kasabov ; Khan Iftekharuddin ; Ning Zhong. Springer Science and Business Media Deutschland GmbH, 2021. pp. 306-317 (Communications in Computer and Information Science).

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abstract = "In recent years, visual assistants of humans are taking place in the consumer market–the eye-line of humans equipped with a see-through optical display. Computer Vision Technology may play a vital role in visually challenged people to carry out their daily activities without much dependency on others. In this paper, we introduce ALO (AI for Least Observed) as an assistive glass for blind people. It can listen as a companion, read from the internet on the fly, detect surrounding objects and obstacles for freedom of movement, and recognize the faces he is communicating with. This glass can be a virtual companion of the users for social safety from unknown people, reduce the dependency of others. This system uses the camera for identifying human faces using MTCNN deep learning technique, bone conduction microphone, and google API (Application Programming Interface) for translating voice to text and text to bone conduction sound. A Market Valuable Product (MVP) has already been developed depending on our survey of over 300 visually impaired persons in Europe and Asia.",

keywords = "Blind vision, Face recognition, Object detection, Smart glass",

author = "Mamun, \{Shamim Al\} and Daud, \{Mohammad Eusuf\} and Mufti Mahmud and Kaiser, \{M. Shamim\} and Rossi, \{Andre Luis Debiaso\}",

note = "Publisher Copyright: {\textcopyright} 2021, Springer Nature Switzerland AG.; 1st International Conference on Applied Intelligence and Informatics, AII 2021 ; Conference date: 30-07-2021 Through 31-07-2021",

year = "2021",

doi = "10.1007/978-3-030-82269-9\_24",

language = "English",

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Mamun, SA, Daud, ME, Mahmud, M, Kaiser, MS & Rossi, ALD 2021, ALO: AI for Least Observed People. in M Mahmud, MS Kaiser, N Kasabov, K Iftekharuddin & N Zhong (eds), Applied Intelligence and Informatics - 1st International Conference, AII 2021, Proceedings. Communications in Computer and Information Science, vol. 1435, Springer Science and Business Media Deutschland GmbH, pp. 306-317, 1st International Conference on Applied Intelligence and Informatics, AII 2021, Virtual, Online, 30/07/21. https://doi.org/10.1007/978-3-030-82269-9_24

ALO: AI for Least Observed People. / Mamun, Shamim Al; Daud, Mohammad Eusuf; Mahmud, Mufti et al.
Applied Intelligence and Informatics - 1st International Conference, AII 2021, Proceedings. ed. / Mufti Mahmud; M. Shamim Kaiser; Nikola Kasabov; Khan Iftekharuddin; Ning Zhong. Springer Science and Business Media Deutschland GmbH, 2021. p. 306-317 (Communications in Computer and Information Science; Vol. 1435).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - ALO

T2 - 1st International Conference on Applied Intelligence and Informatics, AII 2021

AU - Mamun, Shamim Al

AU - Daud, Mohammad Eusuf

AU - Mahmud, Mufti

AU - Kaiser, M. Shamim

AU - Rossi, Andre Luis Debiaso

PY - 2021

Y1 - 2021

N2 - In recent years, visual assistants of humans are taking place in the consumer market–the eye-line of humans equipped with a see-through optical display. Computer Vision Technology may play a vital role in visually challenged people to carry out their daily activities without much dependency on others. In this paper, we introduce ALO (AI for Least Observed) as an assistive glass for blind people. It can listen as a companion, read from the internet on the fly, detect surrounding objects and obstacles for freedom of movement, and recognize the faces he is communicating with. This glass can be a virtual companion of the users for social safety from unknown people, reduce the dependency of others. This system uses the camera for identifying human faces using MTCNN deep learning technique, bone conduction microphone, and google API (Application Programming Interface) for translating voice to text and text to bone conduction sound. A Market Valuable Product (MVP) has already been developed depending on our survey of over 300 visually impaired persons in Europe and Asia.

AB - In recent years, visual assistants of humans are taking place in the consumer market–the eye-line of humans equipped with a see-through optical display. Computer Vision Technology may play a vital role in visually challenged people to carry out their daily activities without much dependency on others. In this paper, we introduce ALO (AI for Least Observed) as an assistive glass for blind people. It can listen as a companion, read from the internet on the fly, detect surrounding objects and obstacles for freedom of movement, and recognize the faces he is communicating with. This glass can be a virtual companion of the users for social safety from unknown people, reduce the dependency of others. This system uses the camera for identifying human faces using MTCNN deep learning technique, bone conduction microphone, and google API (Application Programming Interface) for translating voice to text and text to bone conduction sound. A Market Valuable Product (MVP) has already been developed depending on our survey of over 300 visually impaired persons in Europe and Asia.

KW - Blind vision

KW - Face recognition

KW - Object detection

KW - Smart glass

UR - https://www.scopus.com/pages/publications/85113575810

U2 - 10.1007/978-3-030-82269-9_24

DO - 10.1007/978-3-030-82269-9_24

M3 - Conference contribution

AN - SCOPUS:85113575810

SN - 9783030822682

T3 - Communications in Computer and Information Science

SP - 306

EP - 317

BT - Applied Intelligence and Informatics - 1st International Conference, AII 2021, Proceedings

A2 - Mahmud, Mufti

A2 - Kaiser, M. Shamim

A2 - Kasabov, Nikola

A2 - Iftekharuddin, Khan

A2 - Zhong, Ning

PB - Springer Science and Business Media Deutschland GmbH

Y2 - 30 July 2021 through 31 July 2021

ER -

Mamun SA, Daud ME, Mahmud M, Kaiser MS, Rossi ALD. ALO: AI for Least Observed People. In Mahmud M, Kaiser MS, Kasabov N, Iftekharuddin K, Zhong N, editors, Applied Intelligence and Informatics - 1st International Conference, AII 2021, Proceedings. Springer Science and Business Media Deutschland GmbH. 2021. p. 306-317. (Communications in Computer and Information Science). doi: 10.1007/978-3-030-82269-9_24

ALO: AI for Least Observed People

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

UN SDGs

Access to Document

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Cite this