INTELLIGENT SYSTEM FOR ASSISTING PEOPLE WITH VISUAL IMPAIRMENTS

The article is dedicated to the analysis of modern technologies used to create intelligent systems for supporting people with visual impairments. The relevance of this topic is determined by the need to develop effective and accessible solutions that facilitate the daily lives of people with disabilities, particularly those with vision impairments. The aim of the article is to provide a comprehensive analysis of existing technologies, examine the advantages and disadvantages of available solutions, and identify potential ways to improve such systems. The article discusses leading solutions in this field, such as Aira, Be My Eyes, BlindSquare, and Seeing AI, which enable navigation and support for people with visual impairments through mobile devices, cameras, and other sensory systems. The authors also explore the needs of the users of these systems, identifying the main challenges faced by people with limited vision, such as obstacle detection, providing timely information about the surrounding environment, and ensuring ease of use. Based on this analysis, the requirements for future support systems have been formulated, and the architecture of the intelligent system, which includes components for object recognition, obstacle detection, navigation, and voice assistance, has been developed. Particular attention is given to the integration of object and obstacle recognition components, which are implemented using computer vision technologies such as OpenCV and neural networks. Additionally, the possibility of integrating voice assistants to provide convenient and accessible feedback is considered. The article also outlines the methods used for developing and testing such systems, including structural and comparative analysis of existing solutions, as well as experimental methods to assess the effectiveness of the software. The research and development of intelligent systems for supporting people with visual impairments is an important step towards creating an accessible and barrier-free environment for people with disabilities, opening up new opportunities to improve their quality of life.

Authors

Publication Details

Journal
Naukovì pracì Donecʹkogo nacìonalʹnogo tehnìčnogo unìversitetu. Serìâ "Občislûvalʹna tehnìka ta avtomatizacìâ"/Naukovì pracì Donecʹkogo nacìonalʹnogo tehnìčnogo unìversitetu. Serìâ: Občislûvalʹna tehnìka ta avtomatizacìâ
Published
2024-12-31
DOI
https://doi.org/10.31474/2786-9024/v2i3(35).316396
Citations
1
Primary Topic
Smart Parking Systems Research
Type
article
Field-Weighted Citation Impact
0.27
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article

INTELLIGENT SYSTEM FOR ASSISTING PEOPLE WITH VISUAL IMPAIRMENTS

Yaroslaw Dorogyy, Nazarii Omelchuk
1 citations
Naukovì pracì Donecʹkogo nacìonalʹnogo tehnìčnogo unìversitetu. Serìâ "Občislûvalʹna tehnìka ta avtomatizacìâ"/Naukovì pracì Donecʹkogo nacìonalʹnogo tehnìčnogo unìversitetu. Serìâ: Občislûvalʹna tehnìka ta avtomatizacìâ
Smart Parking Systems Research
0.27
article

INTELLIGENT SYSTEM FOR ASSISTING PEOPLE WITH VISUAL IMPAIRMENTS

Yaroslaw Dorogyy, Nazarii Omelchuk
article en
1 citations

Abstract

The article is dedicated to the analysis of modern technologies used to create intelligent systems for supporting people with visual impairments. The relevance of this topic is determined by the need to develop effective and accessible solutions that facilitate the daily lives of people with disabilities, particularly those with vision impairments. The aim of the article is to provide a comprehensive analysis of existing technologies, examine the advantages and disadvantages of available solutions, and identify potential ways to improve such systems. The article discusses leading solutions in this field, such as Aira, Be My Eyes, BlindSquare, and Seeing AI, which enable navigation and support for people with visual impairments through mobile devices, cameras, and other sensory systems. The authors also explore the needs of the users of these systems, identifying the main challenges faced by people with limited vision, such as obstacle detection, providing timely information about the surrounding environment, and ensuring ease of use. Based on this analysis, the requirements for future support systems have been formulated, and the architecture of the intelligent system, which includes components for object recognition, obstacle detection, navigation, and voice assistance, has been developed. Particular attention is given to the integration of object and obstacle recognition components, which are implemented using computer vision technologies such as OpenCV and neural networks. Additionally, the possibility of integrating voice assistants to provide convenient and accessible feedback is considered. The article also outlines the methods used for developing and testing such systems, including structural and comparative analysis of existing solutions, as well as experimental methods to assess the effectiveness of the software. The research and development of intelligent systems for supporting people with visual impairments is an important step towards creating an accessible and barrier-free environment for people with disabilities, opening up new opportunities to improve their quality of life.

Naukovì pracì Donecʹkogo nacìonalʹnogo tehnìčnogo unìversitetu. Serìâ "Občislûvalʹna tehnìka ta avtomatizacìâ"/Naukovì pracì Donecʹkogo nacìonalʹnogo tehnìčnogo unìversitetu. Serìâ: Občislûvalʹna tehnìka ta avtomatizacìâ
Openalex Percentile: Top 40%
Smart Parking Systems Research
0.27
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