CNN-Based Object Recognition and Tracking System to Assist Visually Impaired People
Visually impaired persons (VIPs) comprise a significant portion of the population, and they are present around the globe and in every part of the world. In recent times, technology proved its presence in every domain, and innovative devices assist humans in their daily lives. In this work, a smart a...
Saved in:
Main Authors: | Fahad Ashiq, Muhammad Asif, Maaz Bin Ahmad, Sadia Zafar, Khalid Masood, Toqeer Mahmood, Muhammad Tariq Mahmood, Ik Hyun Lee |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2022-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9698080/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Assistive Devices Analysis for Visually Impaired Persons: A Review on Taxonomy
by: Sadia Zafar, et al.
Published: (2022-01-01) -
Advancing Wildlife Protection: Mask R-CNN for Rail Track Identification and Unwanted Object Detection
by: Istiak Mahmud, et al.
Published: (2023-01-01) -
Blockchain-Enabled VANET for Smart Solid Waste Management
by: Muhammad Saad, et al.
Published: (2023-01-01) -
Breast cancer classification based on hybrid CNN with LSTM model
by: Mourad Kaddes, et al.
Published: (2025-02-01) -
CNN-Trans-SPP: A small Transformer with CNN for stock price prediction
by: Ying Li, et al.
Published: (2024-12-01)