This paper is published in Volume-5, Issue-1, 2019
Area
Computer Science And Engineering
Author
Abhishek B. R., Gokul Krishnan V., Balamurugan S., Anitha R.
Org/Univ
Sri Krishna College of Technology, Coimbatore, Tamil Nadu, India
Keywords
Object detection, Raspberry Pi, NodeMCU, Virtual assistant
Citations
IEEE
Abhishek B. R., Gokul Krishnan V., Balamurugan S., Anitha R.. Smart virtual assistant bot using voice control and object detection, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
Abhishek B. R., Gokul Krishnan V., Balamurugan S., Anitha R. (2019). Smart virtual assistant bot using voice control and object detection. International Journal of Advance Research, Ideas and Innovations in Technology, 5(1) www.IJARIIT.com.
MLA
Abhishek B. R., Gokul Krishnan V., Balamurugan S., Anitha R.. "Smart virtual assistant bot using voice control and object detection." International Journal of Advance Research, Ideas and Innovations in Technology 5.1 (2019). www.IJARIIT.com.
Abhishek B. R., Gokul Krishnan V., Balamurugan S., Anitha R.. Smart virtual assistant bot using voice control and object detection, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
Abhishek B. R., Gokul Krishnan V., Balamurugan S., Anitha R. (2019). Smart virtual assistant bot using voice control and object detection. International Journal of Advance Research, Ideas and Innovations in Technology, 5(1) www.IJARIIT.com.
MLA
Abhishek B. R., Gokul Krishnan V., Balamurugan S., Anitha R.. "Smart virtual assistant bot using voice control and object detection." International Journal of Advance Research, Ideas and Innovations in Technology 5.1 (2019). www.IJARIIT.com.
Abstract
Manual efforts being put up by human beings are greatly reduced by smart robots. The robot is voice-controlled and uses object detection using a virtual assistant. The human voice commands are given to the robotic assistant remotely by using a smart mobile phone or a raspberry pi microcontroller or a computer via the virtual assistant. The robot can perform different movements such as turn, start/stop operations, displaying the temperature and humidity of the environment. This robot also locates an object when moving from one place to another. The voice commands are processed in real-time, using an online cloud server. The speech signal commands converted to text form are communicated to the robot over a Wi-Fi network. This robot contains one Raspberry Pi and NodeMCU microcontroller as the central unit. The camera is connected to Raspberry Pi for detection of objects that is then streamed to the user’s mobile or computer. All the motors and sensors are connected to the NodeMCU microcontroller. This idea is used for surveillance purpose, healthcare assistant and human-machine interaction purposes.