Braille-Based IoT Home Automation System for Visually Impaired Users using ESP32 Microcontroller

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Main Authors: V. Vittal Reddy, Naragam Manikanta Raghava, Modugumudi Jahnavi, Namburu Venkata Siva Prasanth, Mohammed Habeeb Pasha
Format: Recurso digital
Published: Zenodo 2026
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author V. Vittal Reddy
Naragam Manikanta Raghava
Modugumudi Jahnavi
Namburu Venkata Siva Prasanth
Mohammed Habeeb Pasha
author_facet V. Vittal Reddy
Naragam Manikanta Raghava
Modugumudi Jahnavi
Namburu Venkata Siva Prasanth
Mohammed Habeeb Pasha
contents Home automation has become affordable and widespread. It has not become accessible for the visually impaired persons(there are 295 million people live with moderate to severe visual impairment across the world), nearly all encounter immediate barriers with standard interfaces: touchscreens demand sight, voice recognition demands quiet rooms and clear diction. We built for Braille readers instead. Two ESP32-WROOM-32 microcontrollers — one managing a six-pushbutton Braille keypad, one driving an eight-channel relay board — communicate over a persistent TCP/IP link. The keypad module provides tactile and auditory confirmation of every action. The appliance module controls two room lights, two capacitor-regulated fans with four distinct speed steps, a servo-operated door lock, and a dual-sensor fire detection circuit that pairs an IR flame detector with an MQ-2 gas sensor to suppress false alarms. Blynk cloud connectivity allows remote monitoring and caregiver alerts. Commands reached the relay board in under 350 ms under typical home Wi-Fi. Fire alerts dispatched in under 500 ms. The system ran without fault for 48 continuous hours. No false fire alert was generated across all single-sensor test scenarios.
format Recurso digital
id zenodo_https___doi_org_10_5281_zenodo_19185379
institution Zenodo
language
publishDate 2026
publisher Zenodo
record_format zenodo
spellingShingle Braille-Based IoT Home Automation System for Visually Impaired Users using ESP32 Microcontroller
V. Vittal Reddy
Naragam Manikanta Raghava
Modugumudi Jahnavi
Namburu Venkata Siva Prasanth
Mohammed Habeeb Pasha
Braille Tactile Interface
IoT Assistive Technology
Visually Impaired Home Control
ESP32
Dual-Sensor Fire Detection
Blynk Cloud Notification
Home automation has become affordable and widespread. It has not become accessible for the visually impaired persons(there are 295 million people live with moderate to severe visual impairment across the world), nearly all encounter immediate barriers with standard interfaces: touchscreens demand sight, voice recognition demands quiet rooms and clear diction. We built for Braille readers instead. Two ESP32-WROOM-32 microcontrollers — one managing a six-pushbutton Braille keypad, one driving an eight-channel relay board — communicate over a persistent TCP/IP link. The keypad module provides tactile and auditory confirmation of every action. The appliance module controls two room lights, two capacitor-regulated fans with four distinct speed steps, a servo-operated door lock, and a dual-sensor fire detection circuit that pairs an IR flame detector with an MQ-2 gas sensor to suppress false alarms. Blynk cloud connectivity allows remote monitoring and caregiver alerts. Commands reached the relay board in under 350 ms under typical home Wi-Fi. Fire alerts dispatched in under 500 ms. The system ran without fault for 48 continuous hours. No false fire alert was generated across all single-sensor test scenarios.
title Braille-Based IoT Home Automation System for Visually Impaired Users using ESP32 Microcontroller
topic Braille Tactile Interface
IoT Assistive Technology
Visually Impaired Home Control
ESP32
Dual-Sensor Fire Detection
Blynk Cloud Notification
url https://doi.org/10.5281/zenodo.19185379