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

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1. Rawshan Habib M, Sunny K, Vadher A, Rahaman A, Tushar AN, Mossihur Rahman M, Rashedul Arefin M, Ahmed MA. Design and Implementation of voice command-based robotic system. InInventive Systems and Control: Proceedings of ICISC 2022 2022 Aug 2 (pp. 273-282). Singapore: Springer Nature Singapore.
2. Nayak SK, Hota SP, Behera S. Voice Controlled Robotic Car. UGC Care Group I J. 2022;12:593-8.
3. Chaudhry A, Batra M, Gupta P, Lamba S, Gupta S. Arduino Based Voice Controlled Robot. In2019 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS) 2019 Oct 18 (pp. 415-417). IEEE.
4. Haruna Z, Musa U, Mu’azu MB, Umar A. A path planning technique for autonomous mobile robot. Int. J. Mechatron. Electr. Comput. Technol.(IJMEC). 2020;10:4483-92.
5. Haruna Z, Musa U, Mu’azu MB, Umar A. A dynamic path planning technique for autonomous mobile robot in unkwown static environment. InProceedings of the 2019 IEEE 1st International Conference on Mechatronics and Cyber-Physical Computer Systems, Owerri, Nigeria 2019 Mar (pp. 7-8).
6. Saravanan D, Parthiban R, Archanaa GI. Voice controlled robotic car using Arduino for smart agriculture. Int. J. Pure Math. 2018;118:2097-105.
7. Rashid H, Ahmed IU, Osman SB, Newaz Q, Rasheduzzaman M, Reza ST. Design and implementation of a voice controlled robot with human interaction ability. InProceedings of the International Conference on Computer, Communication, Chemical, Materials and Electronic Engineering, Rajshahi, Bangladesh 2017 Jan (pp. 26-27).
8. Shalini A, Jayasuruthi L, VinothKumar V. Voice recognition robot control using android device. Journal of Computational and Theoretical Nanoscience. 2018 Jun 1;15(6-7):2197-201.
9. Sachdev S, Macwan J, Patel C, Doshi N. Voice-controlled autonomous vehicle using IoT. Procedia Computer Science. 2019 Jan 1;160:712-7.
10. Srivastava S, Singh R. Voice controlled robot car using Arduino. International Research Journal of Engineering and Technology (IRJET). 2020 May;7(05):4033-7.

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

🔒 This is a subscription article

Full text is available to subscribers and institutional members. Please choose an option below to access it.

1. Rawshan Habib M, Sunny K, Vadher A, Rahaman A, Tushar AN, Mossihur Rahman M, Rashedul Arefin M, Ahmed MA. Design and Implementation of voice command-based robotic system. InInventive Systems and Control: Proceedings of ICISC 2022 2022 Aug 2 (pp. 273-282). Singapore: Springer Nature Singapore.
2. Nayak SK, Hota SP, Behera S. Voice Controlled Robotic Car. UGC Care Group I J. 2022;12:593-8.
3. Chaudhry A, Batra M, Gupta P, Lamba S, Gupta S. Arduino Based Voice Controlled Robot. In2019 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS) 2019 Oct 18 (pp. 415-417). IEEE.
4. Haruna Z, Musa U, Mu’azu MB, Umar A. A path planning technique for autonomous mobile robot. Int. J. Mechatron. Electr. Comput. Technol.(IJMEC). 2020;10:4483-92.
5. Haruna Z, Musa U, Mu’azu MB, Umar A. A dynamic path planning technique for autonomous mobile robot in unkwown static environment. InProceedings of the 2019 IEEE 1st International Conference on Mechatronics and Cyber-Physical Computer Systems, Owerri, Nigeria 2019 Mar (pp. 7-8).
6. Saravanan D, Parthiban R, Archanaa GI. Voice controlled robotic car using Arduino for smart agriculture. Int. J. Pure Math. 2018;118:2097-105.
7. Rashid H, Ahmed IU, Osman SB, Newaz Q, Rasheduzzaman M, Reza ST. Design and implementation of a voice controlled robot with human interaction ability. InProceedings of the International Conference on Computer, Communication, Chemical, Materials and Electronic Engineering, Rajshahi, Bangladesh 2017 Jan (pp. 26-27).
8. Shalini A, Jayasuruthi L, VinothKumar V. Voice recognition robot control using android device. Journal of Computational and Theoretical Nanoscience. 2018 Jun 1;15(6-7):2197-201.
9. Sachdev S, Macwan J, Patel C, Doshi N. Voice-controlled autonomous vehicle using IoT. Procedia Computer Science. 2019 Jan 1;160:712-7.
10. Srivastava S, Singh R. Voice controlled robot car using Arduino. International Research Journal of Engineering and Technology (IRJET). 2020 May;7(05):4033-7.