ICJEM
Intercontinental Journal of Emergency Medicine

The Intercontinental Journal of Emergency Medicine aims to publish issues related to all fields of emergency medicine and all specialties involved in the management of emergencies in the hospital and prehospital environment of the highest scientific and clinical value at an international level and accepts articles on these topics.

eISSN: 2980-1400
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Original Article
Vision assistant for visually impaired individuals
Abstract
Visually impaired individuals face significant challenges in accessing environmental information, social interactions, and safety in their daily lives. This article aims to increase the independence of visually impaired individuals and simplify their daily lives using an AI-supported image and sound recognition system. The developed prototype is a pair of glasses consisting of a Raspberry Pi 4 microprocessor, integrated headphones, touch controls, and a powerful battery management system. The electronic diagram includes the integration of a camera and microprocessor. The AI algorithms developed successfully perform tasks such as object recognition, text reading, and facial recognition. The article provides a comprehensive literature review and introduces the prototype to visually impaired users. Based on the feedback from the introduction, the prototype's ease of use and effectiveness were evaluated, and improvements were made based on user feedback. The algorithms were tested for accuracy, with the prototype achieving a 78% accuracy score, close to GPT-4's 82%. Additionally, tests with 20 users resulted in an 85% user satisfaction rate.

Keywords : Glasses, artificial intelligence, image processing, mini computer, visually impaired individuals, 3D CAD

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Article available in :
Volume 2, Issue 2, 2024
Page : 62-66
https://doi.org/10.51271/JCEEES-0020
Article Information
Received : 25 Eyl 2024
Accepted : 18 Eki 2024
Published : 29 Eki 2024
Corresponding Author :

İrem Yıldırım: Faculty of Engineering and Natural Sciences, Kırıkkale University, Kırıkkale, Turkiye

[email protected]
Citation : Yıldırım, İ., Demir, İ., Peker, İ., Yılmaz, M.E., Güneyli, O., Aktaş, E.Ş., Özer, E., & Kantaroğlu, E. (2024) Vision assistant for visually impaired individuals. J Comp Electr Electron Eng Sci, 2(2), 62-66.

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