Open AccessAssistive Robot For Visually Impaired People
Author(s) -
K.A. Sunitha,
Ganti Sri Giri Sai Suraj,
G Atchyut Sriram,
N Savitha Sai
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2089/1/012056
Subject(s) - computer vision , robot , obstacle avoidance , artificial intelligence , obstacle , computer science , feature (linguistics) , identification (biology) , visually impaired , mobile robot , human–computer interaction , geography , linguistics , philosophy , botany , archaeology , biology
The proposed robot aims to serve as a personal assistant for visually impaired people in obstacle avoidance, in identifying the person (known or unknown) with whom they are interacting with and in navigating. The robot has a special feature in truly locating the subject’s location using GPS. The novel feature of this robot is to identify people with whom the subject interacts. Facial detection and identification in real-time has been a challenge and achieved with accurate image processing using viola jones and SURF algorithms. An obstacle avoidance design has been implanted in the system with many sensors to guide in the correct path. Hence, the robot is a fusion of providing the best of the comfort and safety with minimal cost.