A blind navigation guide model for obstacle avoidance using distance vision estimation based YOLO-V8n

E CHIDI, E Anoliefo, C Udanor… - Journal of the …, 2025 - journal.nsps.org.ng
Obstacle is an object positioned along a path of propagation with the potential to cause a
collision and hence, an accident. Over the years, several papers have applied advanced …

Small Object Detection for Indoor Assistance to the Blind using YOLO NAS Small and Super Gradients

R BN, R Guru - arXiv preprint arXiv:2409.07469, 2024 - arxiv.org
Advancements in object detection algorithms have opened new avenues for assistive
technologies that cater to the needs of visually impaired individuals. This paper presents a …

Exploring the Depths of Visual Understanding: A Comprehensive Review on Real-Time Object of Interest Detection Techniques

EU CHIDI, CN UDANOR, E ANOLIEFO - 2024 - preprints.org
Object detection is complex and involved diverse requirements for different applications. In
critical application such as visual impaired navigation guide and real-time surveillance for …

Smartphone Visual Assistance System with AI-Based Depth Estimation and Embedded/Cloud Voice Controls

V Pastukh, M Beshley, P Chopyk… - 2023 IEEE 5th …, 2023 - ieeexplore.ieee.org
This paper presents an advanced smartphone visual assistance system that effectively
utilizes artificial intelligence (AI) to fast image depth estimation and voice control based on …

Real-Time Object Recognition with Voice Feedback for Visually Impaired Based on Raspberry Pi

DV Kumar, VR Kammampati, B Tapasvi… - 2024 2nd …, 2024 - ieeexplore.ieee.org
Visually impaired individuals rely on real-time object recognition to overcome the challenges
posed by their limited visual capabilities. Traditional navigation for the visually impaired …

Seeing with Sound: Object Detection and Localization by YOLOv8 and Audio Feedback for Blind Individuals

ALI TAVAKOLI YARAKI - thesis.unipd.it
Object detection is a challenging Computer Vision (CV) application, particularly for assist-ing
blind individuals. With the rapid advancement of Deep Learning (DL), algorithms like …