REAL-TIME MOVING VEHICLE COUNTER SYSTEM USING OPENCV AND PYTHON

Abstract

— In view of highway management, intelligent vehicle recognition, and counting is becoming increasingly crucial. In highway monitoring, it is a crucial part that every vehicle should be observed and should go through vehicle monitoring and detection system. With today’s technology have great effect on this area the road surveillance camera gives a large library of traffic video footage has been available for examination. By taking these video footage from the cameras the paper will present a system that will achieve to calculate the vehicle their direction with using image subtractor and counters. The computer vision will advance the capability of the system to process on the videos and give desired output. The main idea behind using computer vision and open CV is that they will not disturb the traffic and monitoring part will be done smoothly. The vehicle counter-offered in this study is primarily based totally on an aggregate of image processing algorithms which includes item detection, edges detection, and frames differentiation. The machine has been applied with the use of Python. This paper explains how to use multiple libraries for real-time image processing to achieve traffic flow counting and classification. The proposed system differs the existing system by providing the feature to count the cars in the day and night mode.