Empowering Vision Using AI-Enabled Smart Glasses: A Wearable Solution for Enhanced Navigation and Environmental Awareness | ||||
| Port-Said Engineering Research Journal | ||||
| Articles in Press, Accepted Manuscript, Available Online from 15 July 2025 | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/pserj.2025.398856.1420 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
Nada Ezz elDin1; Alaa Abduo Mostafa  2; Rahma Abdelkarim khedr3; Abdulrahman Asaad Elfaqi3
| ||||
| 1Port Said University | ||||
| 2Electrical Engineering Dept. Port Said University Port Said, Egypt | ||||
| 3Electrical Engineering Dept. Port Said University Port Said, Egypt | ||||
| Abstract | ||||
| Recent advancements in embedded systems and artificial intelligence have enabled the development of innovative assistive technologies that enhance autonomy for individuals with visual impairments. Among these, smart wearables have emerged as practical tools for facilitating daily navigation and independent living. This paper presents the design and implementation of artificial intelligence (AI)-powered smart glasses tailored for visually impaired users, delivering real-time audio feedback based on visual and environmental data analysis. The system utilizes a Raspberry Pi 5 as its core processor and integrates various components including a Pi Camera v3, global positioning system (GPS) and global system for mobile communications (GSM) modules, ultrasonic sensors, a universal serial bus (USB) sound card, headphones, and a cooling fan. Its functionalities include object detection, facial and emotion recognition, text reading using optical character recognition (OCR), and navigation assistance. Captured visuals are processed using computer vision algorithms, and the results are converted into speech via a text-to-speech engine, with output delivered through headphones to maintain privacy. A safety mechanism is also embedded: long-pressing a button sends the user's GPS location via short message service (SMS) through the GSM module to a preassigned contact. Additionally, ultrasonic sensors help detect surrounding obstacles and alert the user. This system aims to support mobility, safety, and independence for visually impaired individuals through cost-effective hardware and efficient on-device processing. | ||||
| Keywords | ||||
| Assistive Wearable Technology; Edge AI; Text-to-Speech; Object Recognition; Navigation Aid | ||||
|
Statistics Article View: 60 |
||||
