An IoT-Based Smart Spectacle for Object Detection and Audio Guidance System for the Visually Impaired
Author
Chandana R, Shreeya , U Supriya, Vamshi K T, Prof. Anusha U A
Abstract
Visual Impairment is a challenging task which hinders a person’s ability to recognize things, faces, and environmental factors. In this paper, we present an AI-based assistive solution that will help in environment recognition for the blind using real-time object detection and audio. Our proposed framework will accept live video as input (captured using a camera), process it via deep learning, and detect objects using the YOLO (You Only Look Once) algorithm. Some additional modules in our framework will be face recognition using CNNs and currency detection using image processing.
Identification of the object will lead to provision of instant audio feedback through text to speech technology. The paper also gives an overview of the current research in the area of computer vision based assistive technologies along with an analysis of existing methods to identify their shortcomings and emphasizes on the need for development of an accurate, real-time and cost-effective assistive system.
Keywords
Artificial Intelligence (AI), Internet of Things (IOT), Computer Vision, You Only Look Once (YOLO) Deep Learning, Real-Time Object Detection, Voice Assistance
Full Text:
Download Paper PDF
References
[1] An IoT Smart Eyewear with Real-Time Object and Audio Recognition for Visually Impaired Users, IEEE,2026.
[2] Multi-Scene Dataset and Object Detector for Outside Blind Individual Identification, IEEE,2026.
[3] Real-Time Obstacle Detection and Audio Navigation for the Visually Impaired Using YOLO, IEEE, 2025.
[4] A Real-Time Object Detection and Navigation System for Visually Impaired Individuals, IEEE, 2025.
[5] Real-Time Object Recognition with Voice Guided Navigation for Visually Impaired Using OpenCV, IEEE, 2025.
[6] IoT and NLP-Based Voice Assistant for Visually Impaired People, IEEE, 2025.
[7] Visually Impaired People Recognise Virtual Objects Through 3D Reconstructed Shapes, IEEE,2025.
[8] Face and Obstacle Detection-Based Smart Glasses for Blind and Visually Impaired, IEEE,2025.
[9]Echo Vision: Real-Time Object Detection and Voice Assistance for the Visually Impaired, IEEE,2025.
[10]Human Scene Understanding Mechanism- Based Image Captioning for Blind Assistance, IEEE,2025.
[11]YOLOv7-Based Intelligent System for Real-Time Object Detection and Assistive Navigation in Smart Assistive Solutions Using NLP Feedback, IEEE,2025
[12] Real Environment Warning Model for Visually Impaired People in Trouble on the Blind Roads Based on Wavelet Scattering NETWORK, IEEE, 2024.
[13] Real-Time Guide for Visually Impaired, IEEE, 2024.
[14] Surveillance System for Real-Time High-Precision Recognition of Criminal Faces from Wild Videos, IEEE, 2023.
[15] Pedestrian Lane Detection for Assistive Navigation of Vision-Impaired People: Survey and Experimental Evaluation, IEEE, 2022.
[16] Intuitive Environmental Perception Assistance for Blind Amputees Using Spatial Audio Rendering, IEEE, 2022.
[17] Stereo Pilot: A Wearable Target Location System for Blind and Visually Impaired Using Spatial Audio Rendering, IEEE, 2022.
[18] Smart Assistive Sunglasses for the Visually Impaired, IEEE, 2022.
[19] IoT-Based Smart Shoe for the Blind, IEEE, 2022.
[20] 2021 Camera + Sign Detection + Audio Guidance Indoor sign recognition for navigation Restricted to structured indoor environment.
Share your valuable work from Social Media Buttons