UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 12 | Issue 9 | September 2025

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Published in:

Volume 12 Issue 1
January-2025
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2501324


Registration ID:
553865

Page Number

d215-d222

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Title

AI in accessible kitchen for blind and impaired people

Abstract

This project is designed to empower visually impaired individuals with safe and independent kitchen navigation through the integration of advanced hardware and software technologies. The hardware module, utilizing an ESP32 microcontroller, incorporates multiple safety-oriented components. A temperature sensor monitors the heat of food or cooking elements, providing voice-based alerts on their suitability for consumption. A gas sensor ensures safety by detecting leaks and automatically triggering a cylinder knob shutoff mechanism. Fire detection is managed by a dedicated sensor that activates a buzzer in emergencies. Load cells are used to measure the weight of items, and when the weight drops below a predefined threshold, the system generates a voice prompt to notify users to refill. These features collectively ensure a secure and accessible cooking environment tailored to the needs of visually impaired users. On the software side, the system employs advanced AI-driven technologies to assist users further. Image-to-text technology allows for the recognition and vocalization of ingredient names labeled on packaging, eliminating the need for visual identification. Additionally, a YOLOv5-based object detection algorithm identifies various kitchen ingredients, vegetables, and fruits, providing real-time voice feedback to enhance usability. The combination of intelligent sensors and machine learning algorithms creates a robust and user-friendly solution, fostering greater independence and safety. This innovative system bridges the gap between accessibility and technology, enabling users to navigate kitchen tasks with ease and confidence.

Key Words

Artificial Intelligence (AI), Accessible kitchen ,Blind and visually impaired ,Voice-controlled assistants, Computer vision, Smart appliances , Auditory feedback, Inclusive design, Assistive technology, Kitchen automation, Real-time alerts, Safety enhancements, Independence for visually impaired individuals

Cite This Article

"AI in accessible kitchen for blind and impaired people", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 1, page no.d215-d222, January-2025, Available :http://www.jetir.org/papers/JETIR2501324.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"AI in accessible kitchen for blind and impaired people", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 1, page no. ppd215-d222, January-2025, Available at : http://www.jetir.org/papers/JETIR2501324.pdf

Publication Details

Published Paper ID: JETIR2501324
Registration ID: 553865
Published In: Volume 12 | Issue 1 | Year January-2025
DOI (Digital Object Identifier):
Page No: d215-d222
Country: banglore, karnataka, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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