SIGHTSYNC: NAVIGATIONAL INNOVATION

Authors

  • MR. CH. VENKATESH Author
  • J. KUSUMA PALLAVI Author
  • N. SATYA SAHITHI Author
  • B. MANJU BHARGAVI Author

Keywords:

Visually impaired, Computer vision, Digital images, Navigation assistance, Accessibility features, Blindness, User-friendly interface, Object recognition, Voice feedback, Smart Stick.

Abstract

Visually impaired individuals often require assistance in daily activities both at home and outdoors. Human assistance is not
always available, prompting ongoing research into solutions. Computer vision technology enables computers to understand, 
store, and recognize information from digital images or videos, mimicking human visual tasks. Over the past decade, 
advancements in computer vision have dramatically improved accuracy rates from 50% to 99%, enhancing speed and 
usability. There are approximately 285 million visually impaired people worldwide, with 39 million categorized as blind. 
Among them, 52% are aged 50 and older, often reliant on others for daily tasks. Computer vision offers a promising solution 
by training computers to identify objects and provide auditory feedback, enabling visually impaired individuals to interact more 
independently with their surroundings. These systems ensure continuous monitoring with a user-friendly interface, prioritizing 
simplicity and clarity to enhance accessibility. Regular testing with users from the target demographic helps refine and 
optimize functionality, ensuring a better user experience for devices like Smart Sticks designed to assist individuals with low 
vision.

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Published

07-08-2024

How to Cite

SIGHTSYNC: NAVIGATIONAL INNOVATION. (2024). International Journal of Engineering Research and Science & Technology, 20(3), 210-214. https://ijerst.org/index.php/ijerst/article/view/418