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

Development of a Prototype Self-Controlled Car Using Computer Vision and Machine Learning Technologies
Author(s):
Dr. Vijit Srivastava, Rohit Kumar Pal, Himanshu Ranjan Shrivastav, Vikas Gupta
Keywords:
Raspberry Pi, Arduino Uno, Open CV Frame work, Frame by Frame Analysis
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.
Article Details
Unique Paper ID: 160171 Publication Volume & Issue: Volume 9, Issue 12 Page(s): 1298 - 1301
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