1Assistant Professor, Department of Electronics and Communication Engineering, School of Engineering and Technology, JNU, Jaipur, Rajasthan, India
2Student, Department of Electronics and Communication Engineering, School of Engineering and Technology, JNU, Jaipur, Rajasthan, India
*Corresponding author email id: shivsiddhartha187@gmail.com
Online published on 26 December, 2018.
This paper is focused on the technology of speech recognition through conversion of speech into text. In previous work, controlling our machineries through the help of voice commands, using this technology, was not possible. Therefore, this paper gives an analysis and implementation to help the people who are handicapped and cannot drive their own vehicle. Thereby in future, they drive their own vehicle with a greater safety from sudden hit-and-run cases due to automatic braking or slow down feature. An Arduino interfacing with Bluetooth module is to provide the communication channel with device through which we will give the voice commands. For the circuitry, programmed Arduino will give the control over the motors that use to run the robotic vehicle. Ultrasonic sensors interfaced with the Arduino help in automatic slowdown or braking of a vehicle on sudden obstacle detection, and after a delay, it will help in the avoidance of the obstacle. In future, this concept might prove to be the milestone in vehicle automation, and for long-distance range, DualTone Multi Frequency (DTMF) technology can be useful to control the vehicles on voice commands, remotely sitting at a single place.
Obstacle detection, Speech into text, Arduino, Bluetooth module, Ultrasonic sensors, DTMF