Development of a Prototype Self-Controlled Car Using Computer Vision and Machine Learning Technologies

  • Unique Paper ID: 160171
  • Volume: 9
  • Issue: 12
  • PageNo: 1298-1301
  • Abstract:
  • The paper in the journal describes the creation of a prototype self-controlled car system that makes use of computer vision and machine learning. To record and analyze video data, the system makes use of a Raspberry Pi camera and the OpenCV framework. The system could find and follow things on the road using frame-by-frame analysis. The infor-mation gleaned from the detected items is then used by an Arduino Uno and a motor driver to independently control the vehicle's movement. The C++ programming language is used to implement the system, and it goes through an extensive amount of testing. Results show that, when compared to a human driver, the self-controlled automobile prototype performs with an increased level of accuracy, dependability, and activity.

Cite This Article

  • ISSN: 2349-6002
  • Volume: 9
  • Issue: 12
  • PageNo: 1298-1301

Development of a Prototype Self-Controlled Car Using Computer Vision and Machine Learning Technologies

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