Smart Voice Controlled Vehicle with Obstacle Detection Using IoT

Mahesh Pawar; Rahul Narhare; Amol Nagare; Lalu Jadhav; Devidas Thosar

Smart Voice Controlled Vehicle with Obstacle Detection Using IoT

Authors: Mahesh Pawar, Rahul Narhare, Amol Nagare, Lalu Jadhav, Devidas Thosar

Unique Paper ID: 151724
Volume: 8
Issue: 1
PageNo: 609-612

Keywords: Ultrasonic Sensors Bluetooth module Motor Driver Arduino UNO voice command.

Abstract:
This project assembles a voice-controlled automobile that may be controlled by voice commands which responds in accordance to the corresponding voice control. Controlling of machineries using speech wasn't possible earlier. This investigation will help us in executing this technology for the handicapped individuals who can't drive the vehicle on their own. However, sound and space handling require prospective development. Simple voice commands like left, right, forward, back, stop are used to conduct the car. A Bluetooth module (HC-05) can be used to set a communication link between the car and human voice commands via Android Application. The RF transmitter of the Bluetooth may take human voice commands which are converted into encoded digital information for the benefit of an adequate range (up to 100 meters) from the car. The receiver decodes the data before feeding it into microcontroller (ATMEGA16U2) to induce DC motors via motor driver L293D for necessary work. An Arduino UNO is designed to examine voice commands and respond accordingly. Moreover, the car will have the ability to detect the barrier and informs the user to prevent the barrier by picking different route with the assistance of Ultrasonic detector. Considering this attribute for the future extent might prove a milestone in vehicle automation. Further the project can be developed using IoT technology where a user can control the car from any part of the planet.

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Cite This Article

ISSN: 2349-6002
Volume: 8
Issue: 1
PageNo: 609-612

Smart Voice Controlled Vehicle with Obstacle Detection Using IoT

Available:https://ijirt.org/Article?manuscript=151724

Impact Factor
8.01 (Year 2024)

UGC Approved
Journal no 47859

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