Towards a Real-Time Indoor Object Detection for Visually Impaired Users Using Raspberry Pi 4 and YOLOv11: A Feasibility Study
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
Authors
- Ayman Noor (ORCID: https://orcid.org/0000-0002-3344-2847)
- Talal H. Noor (ORCID: https://orcid.org/0000-0001-5076-8163)
- Hanan Almukhalfi
- Arthur Souza (ORCID: https://orcid.org/0000-0001-9149-1543)
Publication Details
- Journal
- Computer Modeling in Engineering & Sciences
- Published
- 2025-01-01
- DOI
- https://doi.org/10.32604/cmes.2025.068393
- Primary Topic
- Video Surveillance and Tracking Methods
- Type
- article
- Field-Weighted Citation Impact
- 0.00