B.Saketh, M.V.Kishore, K.Vishnu Vardhini, S.Kavitha, K.Akash
Raspberry Pi, Image processing, currency notes recognition and person detection, obstacle detection.
The “Assistance System for People with Visual Impairments Using IoT” presents an innovative assistive technology solution aimed at enhancing accessibility and Self-sufficiency for those with visual impairments which consists of two main components: Smart spectacles and Smart cane. Leveraging Raspberry Pi, Arduino, and Camera technology, the system integrates sophisticated algorithms for computer vision, for currency note recognition, person detection, and obstacle detection. Key components include the Raspberry Pi single-board computer, Pi Camera module, speaker module for voice output, Arduino, Ultrasonic sensor to detect obstacles, Buzzer, and specialized image processing software. In real-time, the system analyzes the live camera feed to detect individuals, detect obstacles, and identify currency notes, providing crucial auditory feedback and buzzer sounds to people with low vision. This seamless integration of components empowers People have visual problems to navigate their environment safely and independently while facilitating confident financial transactions through voice-based feedback.
Article Details
Unique Paper ID: 163494

Publication Volume & Issue: Volume 10, Issue 11

Page(s): 2135 - 2139
Article Preview & Download

Share This Article

Join our RMS

Conference Alert

NCSEM 2024

National Conference on Sustainable Engineering and Management - 2024

Last Date: 15th March 2024

Call For Paper

Volume 11 Issue 1

Last Date for paper submitting for Latest Issue is 25 June 2024

About Us enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on

Social Media

Google Verified Reviews