Smart Glasses for the Blind and Visually Impaired (BVI)
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Date
2024-08-23
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Publisher
NEWCASTLE UNIVERSITY
Abstract
Technology has rapidly advanced to become a powerful tool for enhancing quality of life and providing creative
solutions to the daily obstacles faced by different societal groups. Blindness is a significant obstacle that
impacts the lives of millions worldwide. When carrying out everyday activities, blind individuals face many
movements and independent living challenges. Consequently, there is an immediate need to create assistive
tools and technologies that enhance the capabilities and independence of visually impaired individuals. The
'Smart Glasses for the Blind and Visually Impaired’ (BVI) project is an innovative solution that offers an
approach based on computer vision and artificial intelligence technologies. This solution aims to assist blind
individuals in recognising their surroundings and navigating safely and quickly. The fundamental goal of this
project is to create intelligent eyewear that incorporates advanced cameras and sensors, as well as data analysis
software and technologies for recognising objects. It also possesses text-to-speech capabilities, object detection,
and user guidance through audio feedback. The glasses employ a Raspberry Pi 4 microprocessor for camera
image processing, utilising Optical Character Recognition (OCR) technologies and OpenCV software to
identify text accurately. The smart glasses use a Single Shot Multibox Detector (SSD) to detect objects in the
environment. This technology enables visually impaired individuals to navigate independently while receiving
real-time alerts about potential hazards along their path. The numerous benefits of glasses make them a
valuable tool in the lives of visually impaired people.
Description
بعد التحية
تم ارفاق الرسالة العلمية و خطاب رسمي مختم من الجامعة الذي يؤكد حصولي على الدرجة العلمية
آمل منكم الموافقة على قبول الطلب لإنهاء اجراءات التخرج
مع خالص الشكر والتقدير
Keywords
Raspberry Pi, Computer Vision, Embedded Systems, Optical Character Recognition (OCR), OpenCV, Tesseract, Google Text-to-Speech (gTTS), object detection, MobileNet SSD, Ultrasonic Sensors.
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