Authors:
Abeer A. Amer, Esraa E. Mostafa, Dina N. Ahmed, Nourhan A. Mahmoud

Addresses:
1Department of Computer Science and Information System, Faculty of Management Sciences, Sadat Academy for Management and Sciences, Alexandria, Egypt. 2,3,4Department of Computer and Data Science, Alexandria University, Alexandria, Egypt. abamer.2000@gmail.com1, cds.esraaelsayed75187@alexu.edu.eg2, cds.dinanabil14073@alexu.edu.eg3, cds.nourhanabdallah12988@alexu.edu.eg4 

Abstract:

People with visual impairments face challenges in tasks like object recognition and text reading. SmartSight, leveraging Computer Vision technology, aims to replicate human visual perception to overcome these hurdles. The device seamlessly combines a compact camera and a dedicated computing unit with a mobile application, offering indispensable assistance to the visually impaired. This innovative solution excels in object detection, facial recognition, text-to-speech capabilities, food identification, environmental description, and even currency recognition, specifically Egyptian currency. SmartSight's integration with a mobile application enhances user control and customization. Its compact design emphasizes portability and ease of use. By providing a comprehensive set of functionalities, SmartSight significantly improves the daily lives of individuals with visual impairments, offering them newfound independence and accessibility. The device's ability to identify objects, read text aloud, recognize faces, describe surroundings, and discern currency demonstrates a holistic approach to addressing the diverse needs of the visually impaired. In summary, SmartSight stands out as a transformative solution, symbolizing a substantial leap in enhancing the quality of life for those living with visual impairments.

Keywords: Blind Assistance System; Computer Vision; Visual Impairments; Mobile Application; Intricate Algorithms; Mathematical Models; SmartSight's Integration; Independence and Accessibility; Facial Recognition.

Received on: 27/04/2023, Revised on: 19/08/2023, Accepted on: 11/10/2023, Published on: 20/12/2023

FMDB Transactions on Sustainable Computing Systems, 2023 Vol. 1 No. 4, Pages: 204-212

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