Smart Navigation Glasses For Independent Living

The goal of the Smart Glasses for Navigation and Independent Living project is to give visually impaired people a hands-free, wearable way to safely and freely navigate their surroundings. For real-time obstacle identification and navigation support, this system combines cutting-edge technology like the ESP32-CAM, ultrasonic sensors, and Raspberry Pi with machine learning tools like OpenCV and TensorFlow Lite. Through tactile and aural signals, the glasses provide multimodal input, helping users navigate challenging situations and challenging locations. The technology, which has uses in both personal and healthcare settings, is made to be inexpensive, adaptable, and scalable. It improves the mobility, safety, and freedom of people with visual impairments. Additional sensors for accurate environmental mapping, cloud-based processing for dynamic route modifications, and further device downsizing are possible future improvements. Millions of people throughout the world suffer from vision impairments, which significantly impede their capacity for autonomous navigation. A more efficient approach is required because current assistive technologies are frequently costly, complex, and devoid of real-time, context-sensitive input..

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Publication Details

Published
2025-04-16
DOI
https://doi.org/10.1109/iccct63501.2025.11020288
Citations
1
Primary Topic
Smart Parking Systems Research
Type
article
Field-Weighted Citation Impact
1.01
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article

Smart Navigation Glasses For Independent Living

V. Sathya, H Preetha., K Gopika.
1 citations
Smart Parking Systems Research
1.01
article

Smart Navigation Glasses For Independent Living

V. Sathya, H Preetha., K Gopika.
article en
1 citations

Abstract

The goal of the Smart Glasses for Navigation and Independent Living project is to give visually impaired people a hands-free, wearable way to safely and freely navigate their surroundings. For real-time obstacle identification and navigation support, this system combines cutting-edge technology like the ESP32-CAM, ultrasonic sensors, and Raspberry Pi with machine learning tools like OpenCV and TensorFlow Lite. Through tactile and aural signals, the glasses provide multimodal input, helping users navigate challenging situations and challenging locations. The technology, which has uses in both personal and healthcare settings, is made to be inexpensive, adaptable, and scalable. It improves the mobility, safety, and freedom of people with visual impairments. Additional sensors for accurate environmental mapping, cloud-based processing for dynamic route modifications, and further device downsizing are possible future improvements. Millions of people throughout the world suffer from vision impairments, which significantly impede their capacity for autonomous navigation. A more efficient approach is required because current assistive technologies are frequently costly, complex, and devoid of real-time, context-sensitive input..

Openalex Percentile: Top 24%
Smart Parking Systems Research
1.01
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Smart Navigation Glasses For Independent Living — V. Sathya, H Preetha., et al. · (2025) | TGRS Research Map | TGRS