Year: 2026
Type: article
Abstract: This paper presents a voice-controlled, obstacle-avoiding car system designed to enhance accessibility and safety in transportation. The system uses an Arduino UNO microcontroller interfaced with a Bluetooth module to receive voice commands from an Android application. These commands are processed to drive DC motors via an L298D motor driver. Obstacle detection is achieved using ultrasonic sensors, allowing the car to avoid collisions autonomously. This innovation can aid differently-abled individuals, support operations in hazardous environments, and promote hands-free vehicle control. Future enhancements include integration with IoT and AI to enable global remote access and intelligent navigation, making it a significant step toward smart and inclusive mobility solutions.
Authors: Annwesh Hazra, Siddhartha Sen
Institution: University of Engineering & Management
Language: English
Topic: Arduino and IoT Applications
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W7129075493
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