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
Article Preview & Download


Share This Article

Conference Alert

NCSST-2023

AICTE Sponsored National Conference on Smart Systems and Technologies

Last Date: 25th November 2023

SWEC- Management

LATEST INNOVATION’S AND FUTURE TRENDS IN MANAGEMENT

Last Date: 7th November 2023

Go To Issue



Call For Paper

Volume 10 Issue 1

Last Date for paper submitting for March Issue is 25 June 2023

About Us

IJIRT.org enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on editor@ijirt.org

Social Media

Google Verified Reviews