Laptop-Based Reading & Object Recognition for Visually Impaired
B Rinaad Ayaan 3VC21IS004
Kota Anjani Bala Sarma 3VC21IS020
Niha Tabassum 3VC21IS034
N Noor E Tasleem 3VC22IS402
Prof. PRUTHVI H M Dr. B.SREEPATHIPh.D
Project Guide Head of the Department
RAO BAHADHUR Y MAHABALESWARAPPA ENGINEERING COLLEGE
(Formerly Vijayanagar Engineering College, Bellary) CANTONMENT, BALLARI-583 104 (KARNATAKA)
(AFFILIATED TO VISVESVARAYA TECHNOLOGICAL UNIVERSITY, BELGAUM & APPROVED BY AICTE, NEW DELHI)
1.1 ABSTRACT:
Visual impairment is one of the issues that several millions of people suffer from. They go through a lot of difficulties even in completing basic chores. Even in their own home or office, they struggle to navigate from one place to another without being dependent on anybody. As per the data from WHO(World Health Organisation), there are around 250+ million people with visual disablement out of which nearly 35+ million are blind which constitutes a huge part of the population. The "Blind Assist System Using ML and Image Processing" is a cutting-edge technological solution that empowers visually impaired individuals to navigate their surroundings with greater autonomy and safety.
This innovative system integrates Machine Learning (ML) and Image Processing techniques to enhance the sensory capabilities of individuals who are blind or visually impaired. By capturing and analyzing real-time visual data from the environment, the system employs ML algorithms to identify and categorize objects and obstacles in the user's path. It then translates this information into actionable guidance, providing auditory or tactile feedback to the user through wearable devices like smart glasses.
This abstracts the visual world into comprehensible data, thus enabling visually impaired individuals to make informed decisions and move confidently in their surroundings while avoiding potential hazards. The "Blind Assist System Using ML and Image Processing" represents a significant leap in assistive technology, promising greater independence and safety for those with visual impairments.
