Work

Towards a Real-Time Indoor Object Detection for Visually Impaired Users Using Raspberry Pi 4 and YOLOv11: A Feasibility Study

Year: 2025

Type: article

Abstract: People with visual impairments face substantial navigation difficulties in residential and unfamiliar indoor spaces. Neither canes nor verbal navigation systems possess adequate features to deliver real-time spatial awareness... | Find, read and cite all the research you need on Tech Science Press

Source: Computer Modeling in Engineering & Sciences

DOI: 10.32604/cmes.2025.068393

Authors: Ayman Noor, Hanan Almukhalfi, Arthur Souza, Talal H. Noor

Institutions: Taibah University, Universidade Federal do Rio Grande do Norte, King Salman Center for Disability Research

Language: English

Topic: Assistive Technology in Communication and Mobility

Subfield: Occupational Therapy

Field: Health Professions

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: diamond

OpenAlex ID: W4414616223

FWCI: 10.67

Cites: 26

Cited by: 6

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