ML BASED BLIND ASSISTANCE SYSTEM

ML BASED BLIND ASSISTANCE SYSTEM
Author(s):
B.REKHA, Gudla Vaishnavi, Varkala Prakash, Sreebhashyam Pranatha, Thimmanagari Sampurna
Keywords:
Object tracking, OpenCV, computer vision, Webcam, NumPy
Abstract
Eye diseases usually cause blindness and visual impairment. As per the statistics, there are over 285 million visually impaired people living worldwide. They come across many troubles in their daily life, especially while navigating from one place to another on their own. They often depend on others for help to satisfy their day-to-day needs. So, it is quite a challenging task to implement a technological solution to assist them. Several technologies were developed for the assistance of visually impaired people. One such attempt is that we would wish to make an Integrated Machine Learning System that allows the blind victims to identify and classify real-time objects generating voice feedback and distance. Which also produces warnings whether they are very close or far away from the thing.
Article Details
Unique Paper ID: 159134 Publication Volume & Issue: Volume 9, Issue 11 Page(s): 598 - 601
Article Preview & Download

Share This Article

NCSST-2021

AICTE Sponsored National Conference on Smart Systems and Technologies

Last Date: 25th November 2021

LATEST INNOVATION’S AND FUTURE TRENDS IN MANAGEMENT

Last Date: 7th November 2021

IJIRT.org enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on editor@ijirt.org