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By: Kalpana G, Sethuram S, Chinnarasu R, and Suriya rajan S.
1- Assistant Professor, Department of Artificial Intelligence and Data Science, Nehru Institute of Engineering and Technology, Anna University, India
2- Student, Department of Artificial Intelligence and Data Science, Nehru institute of Engineering and Technology, Anna university, Coimbatore, India
Voice Drive is a cutting-edge project focused on developing an advanced voice-controlled vehicle system with integrated acceleration control, powered by Raspberry Pi and Bluetooth technology. The system’s primary objective is to provide intuitive and hands-free control of vehicle acceleration and movement through voice commands, enhancing user experience, safety, and performance. Key components of Voice Drive include sophisticated voice recognition algorithms, precise motor control mechanisms, and seamless Bluetooth communication protocols. Through rigorous testing and validation, Voice Drive has demonstrated exceptional performance in voice recognition accuracy, responsive acceleration control, and reliable Bluetooth connectivity. The system’s collision detection and avoidance capabilities, coupled with acceleration management, contribute to its effectiveness in navigating diverse environments safely and efficiently. The project’s outcomes highlight the feasibility and potential applications of voice-controlled technologies in smart transportation systems and robotics, particularly in enhancing acceleration control for dynamic driving scenarios. Voice Drive represents a significant leap forward in human-machine interaction, offering a comprehensive solution for intelligent vehicle control using voice commands. The inclusion of acceleration management adds a new dimension to the system’s capabilities, paving the way for enhanced driving experiences and innovative applications in autonomous driving, assistive technologies, and adaptive vehicle control systems.
Keywords: Voice Drive, voice-controlled vehicle system, acceleration control, Raspberry Pi, Bluetooth technology, voice recognition, motor control, collision detection, wireless control, user experience, safety, performance
Citation:
Refrences:
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