This paper is published in Volume-7, Issue-3, 2021
Area
Artificial Intelligence
Author
Manasa Battula, Dr. K.Soumya, Chandini Beeram, Sarayu Bendalam, Mounika Bhimavarapu
Org/Univ
Andhra University College of Engineering for Women, Visakhapatnam, Andhra Pradesh, India
Pub. Date
29 June, 2021
Paper ID
V7I3-2200
Publisher
Keywords
Video Acquisition, Background Subtraction, OpenCV, Morphing Techniques, Gaussian mixture-based foreground/background (algorithm), Offenders Detection, Edge Detection

Citationsacebook

IEEE
Manasa Battula, Dr. K.Soumya, Chandini Beeram, Sarayu Bendalam, Mounika Bhimavarapu. Multiple vehicle speed detection on camera feed, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Manasa Battula, Dr. K.Soumya, Chandini Beeram, Sarayu Bendalam, Mounika Bhimavarapu (2021). Multiple vehicle speed detection on camera feed. International Journal of Advance Research, Ideas and Innovations in Technology, 7(3) www.IJARIIT.com.

MLA
Manasa Battula, Dr. K.Soumya, Chandini Beeram, Sarayu Bendalam, Mounika Bhimavarapu. "Multiple vehicle speed detection on camera feed." International Journal of Advance Research, Ideas and Innovations in Technology 7.3 (2021). www.IJARIIT.com.

Abstract

Technology is evolving day by day which leads to automation in many aspects. This also applies to traffic concerned issues. We are having a saturation of the transportation infrastructure due to the growing number of vehicles over the past few decades. It affects our lives particularly in the urban areas, while people need to move rapidly between different places. This results in traffic congestion, accidents, transportation delays and larger vehicle pollution emissions. One of the major issues for accidents is driving vehicles at high speed. There is a need to control this issue which raises the question ‘How?’ Several solutions were introduced to reduce this problem. “The number of pedestrians killed in road crashes due to over speed increased from 22,656 in 2018 to 25,858 in 2019 i.e., an increase of about 14.13 percent.” – News 18. This paper presents a way to control traffic in an efficient way using surveillance cameras. This proposed model can detect the speed of any number of vehicles using surveillance cameras. This model captures the images of the offenders and stores them in a folder. This model detects the speed with accuracy and correctness.