Open Access iconOpen Access

ARTICLE

crossmark

IoT-Driven Optimal Lightweight RetinaNet-Based Object Detection for Visually Impaired People

Mesfer Alduhayyem1,*, Mrim M. Alnfiai2,3, Nabil Almalki4, Fahd N. Al-Wesabi5, Anwer Mustafa Hilal6, Manar Ahmed Hamza6

1 Department of Computer Science, College of Sciences and Humanities-Aflaj, Prince Sattam bin Abdulaziz University, Saudi Arabia
2 King Salman Center for Disability Research, Riyadh, Al-Hayāṯim 16273, Saudi Arabia
3 Department of Information Technology, College of Computers and Information Technology, Taif University, P.O. Box 11099, Taif, 21944, Saudi Arabia
4 Department of Special Education, College of Education, King Saud University, Riyadh, 12372, Saudi Arabia
5 Department of Computer Science, College of Science & Arts, King Khaled University, Ar-Riyad 12372, Saudi Arabia
6 Department of Computer and Self Development, Preparatory Year Deanship, Prince Sattam bin Abdulaziz University, AlKharj, Saudi Arabia

* Corresponding Author: Mesfer Alduhayyem. Email: email

TSP_CSSE_34067.pdf

  • 847

    View

  • 541

    Download

  • 0

    Like

Share Link