Development of a Prototype Self-Controlled Car Using Computer Vision and Machine Learning Technologies
Dr. Vijit Srivastava, Rohit Kumar Pal, Himanshu Ranjan Shrivastav, Vikas Gupta
Raspberry Pi, Arduino Uno, Open CV Frame work, Frame by Frame Analysis
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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