Voice Recognition Elevator System

Abstract

This project presents a smart voice-controlled elevator system designed using an Arduino Atmega328P microcontroller. This project is about creating a voice-controlled elevator system to make it easier and safer for people to use, especially those with physical disabilities. It uses an Arduino ATmega board along with parts like a Bluetooth module (HC-05), LCD screen, ultrasonic sensor, DC gear motor, motor driver, and a fire sensor. A special Android app is used to send voice commands through Bluetooth. The elevator then responds by moving to the correct floor and showing the status on the LCD. The ultrasonic sensor helps with automatic door opening, and the fire sensor warns users if there’s any danger. This smart system offers a modern, hands-free way to operate elevators in buildings

Introduction

This project presents the development of a voice-activated elevator system using an Arduino (ATmega328) microcontroller platform, designed to enhance accessibility, hygiene, and smart home integration. The elevator operates based on voice commands captured via an Android app and sent through Bluetooth (ESP32) to the microcontroller, which then controls the elevator motor system and displays real-time floor status on an LCD screen. The system was inspired by needs arising during the COVID-19 pandemic and aims to improve usability for people with disabilities by minimizing the need for physical contact.

Key Features:

• Voice Control: Enables hands-free elevator operation through a mobile app.

• Bluetooth Communication: Uses ESP32/HC-05 for wireless command transmission.

• LCD Display & Buzzer: Provides visual and audio feedback to users.

• DC Gear Motor & L298 Driver: Controls the elevator's movement based on commands.

• Ultrasonic Sensor: Enhances safety by detecting obstacles.

• Safety & Accessibility: Designed with fire and obstacle detection capabilities to ensure user safety and accessibility.

Proposed Algorithm Steps:

1. System Start

2. Bluetooth Initialization

3. Voice Command Processing

4. Command Validation

5. Safety Check

6. Elevator Movement

7. Arrival Detection

8. Idle Mode

9. Repeat

Components Used:

• ATmega328 Microcontroller (Arduino)

• 16x2 LCD Display

• ESP32 Bluetooth Module

• Motor Driver (L298)

• DC Gear Motor

• HC-SR04 Ultrasonic Sensor

• Buzzer

• Power Supply (5V DC)

Applications:

1. Accessibility for Elderly and Disabled: Eliminates physical interaction with controls.

2. Smart Home Integration: Fits into home automation systems.

3. Commercial Use: Ideal for hotels, malls, and offices for touchless interaction.

4. Enhanced Safety: Equipped with sensors for emergency detection and prevention.

Related Work:

Similar smart elevator projects have adopted microcontrollers and Bluetooth-based voice recognition to improve usability and safety, especially for vulnerable populations. More advanced systems now integrate sensors and use powerful modules like ESP32 for better performance.

Conclusion

Elevators play a significant role in our daily routines, and the use of voice-activated elevators is gaining traction because of their simplicity and user-friendliness. By removing the need for physical contact, this technology helps lower the chances of virus transmission, such as COVID-19, and offers a reliable, long-term solution for safe and independent elevator usage. A speech recognition module is integrated into the control system, allowing users to interact with the elevator through voice commands. A DC motor drives the elevator’s movement based on instructions processed by the microcontroller. In today’s health conscious environment, such systems contribute to increased safety and encourage precautionary measures.

References

[1] Vipul Punjabi, Ibrahim Khatik, Rajhansa Wagh, Archana Mahajan, Divya Patil, Ashwini Pawar. “Voice Operated Lift/Elevator in Emergency”, November, 2018 [2] .B. K. Srilatha1, B. Reeshma2, “Automated elevator -an attentive elevator to elevate using Speech recognition”, February, 2020. [3] “D. Meenatchi, R. Aishwarya, `A Voice Recognizing Elevator System”, December, 2016. [4] Huggins-Daines, D., Kumar, M., Chan, A., Black, A. W., Ravishankar, M., & Rudnicky, A. I.(n.d.). Pocket sphinx: A Free, Real-Time Continuous Speech Recognition System for HandHeld Devices. 2006 IEEE International Conference on Acoustics Speed and Signal Processing.

Copyright

Copyright © 2025 Shruti Kasture, Arati Shete, Shambala Patil, Vaishnavi Patil, Prof. C. P. Shinde. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.