This is an unedited manuscript accepted for publication and provided as an Article in Press for early access at the author’s request. The article will undergo copyediting, typesetting, and galley proof review before final publication. Please be aware that errors may be identified during production that could affect the content. All legal disclaimers of the journal apply.
V.B. Jagdale,
Shubham H. Gore,
Ved C. Powar,
Shreyash S. Raut,
- Assistant Professor, Department of Computer Engineering, RTC, SCSCOE, Dhangawadi Pune, Maharashtra, India
- Student, Department of Computer Engineering, RTC, SCSCOE, Dhangawadi Pune, Maharashtra, India
- Student, Department of Computer Engineering, RTC, SCSCOE, Dhangawadi Pune, Maharashtra, India
- Student, Department of Computer Engineering, RTC, SCSCOE, Dhangawadi Pune, Maharashtra, India
Abstract
There been a lot of change in tools for assisting visually impaired persons from simple analog tools to digital sensor-based devices. In this paper we have designed an AI- based smart assistive glass which can detect objects, read text their nature, distance and give feedback through audio output in real time. This system stores visual data and with use of object recognition it analyzes surroundings.Besides,VL53L0X TOF mea- sures accurate distance which helps to identify obstacles easily. Users can communicate with system by text to speech component which gives audio output to user. Low cost, portability and high energy efficiency are main features of our system. Additionally, by constantly tracking changes in the environment and warning users of any dangers nearby, the suggested smart glasses promote improved situational awareness. Artificial intelligence enhances text recognition and object categorization accuracy in a variety of lighting scenarios. Experimental assessments show dependable performance with quick reaction times and good detection accuracy in both indoor and outdoor settings. For visually challenged people, the suggested solution enhances their quality of life, increases their autonomy, and promotes safer movement. By performing several experiments, it has concluded that it improves mobility and situational awareness of user for visually impaired individuals effectively.
Keywords: Assistive Technology, Smart Glasses, Visually Impaired Navigation, Raspberry Pi, Computer Vision, Obstacle Detection, Ultrasonic Sensors, Text-to-Speech
V.B. Jagdale, Shubham H. Gore, Ved C. Powar, Shreyash S. Raut. AI based Assistive glasses for visually impaired persons. Journal of Electronic Design Technology. 2026; 17(02):-.
V.B. Jagdale, Shubham H. Gore, Ved C. Powar, Shreyash S. Raut. AI based Assistive glasses for visually impaired persons. Journal of Electronic Design Technology. 2026; 17(02):-. Available from: https://journals.stmjournals.com/joedt/article=2026/view=247534
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Journal of Electronic Design Technology
| Volume | 17 |
| 02 | |
| Received | 17/04/2026 |
| Accepted | 04/05/2026 |
| Published | 25/06/2026 |
| Publication Time | 69 Days |
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