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Smartphone-Based Seamless Scene and Object Recognition for Visually Impaired Persons

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Publié dans:Information vol. 16, no. 9 (2025), p. 808-823
Auteur principal: Rahman, Fisilmi Azizah
Autres auteurs: Pusparani Ferina Ayu, Yeoh Wen Liang, Fukuda Osamu
Publié:
MDPI AG
Sujets:
Visual impairment
Cameras
Usability
Datasets
People with disabilities
Smartphones
Applications programs
Supermarkets
Mobile computing
Blindness
Design
Shopping
Algorithms
Object recognition
Feedback
Cognition & reasoning
Accès en ligne:Citation/Abstract
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Résumé:This study introduces a mobile application designed to assist visually impaired persons (VIPs) in navigating complex environments, such as supermarkets. Recent assistive tools often identify objects in isolation without providing contextual awareness. In contrast, our proposed system uses seamless scene and object recognition to help users efficiently locate target items and understand their surroundings. Employing a “human-in-the-loop approach”, users control their smartphone camera direction to explore the space. Experiments conducted in a simulated shopping environment show that the system enhances object-finding efficiency and improves user orientation. This approach not only increases independence, but also promotes inclusivity by enabling VIPs to perform everyday tasks with greater confidence and autonomy.
ISSN:2078-2489
DOI:10.3390/info16090808
Source:Advanced Technologies & Aerospace Database