Voice-Controlled Car Prototype: Advancing Human-Machine Interface with NLP and Wireless Communication.
Our project presents a Voice-Controlled Car prototype aimed at filling the gap in systematic evaluations of voice-controlled systems. The prototype utilizes Natural Language Processing (NLP) techniques, and an Arduino UNO interfaced Bluetooth module for wireless communication with the “AMR Voice Control” Android app. Through algorithmic processes, the system extracts and executes multiple voice commands sequentially. Extensive testing with multiple phrases demonstrates strong performance in the Bluetooth range (8.5–12 meters) and response accuracy. The prototype is capable of extracting commands like forward, backward, stop, left and right form sentences. It follows all these commands one-by-one in a sequence. Additional features include live streaming via an ESP32-CAM module and obstacle recognition using an ultrasonic sensor, enhancing its practicality in real-world scenarios. This project offers an effective and practical voice-activated solution for Human-Machine Interface (HMI) applications, prioritizing usability and practicality.
Link: https://www.publications.scrs.in/chapter/978-81-955020-8-0/1