Abstract:
The study implements a system that detects, classify and count vehicles based on their body type. Classifying and counting has proven to be beneficial when monitoring and...Show MoreMetadata
Abstract:
The study implements a system that detects, classify and count vehicles based on their body type. Classifying and counting has proven to be beneficial when monitoring and managing traffics. However, there are few of studies that focuses on classifying and counting vehicles based on their car types. Implementing the YOLOv4 for classification and counting for the car types coupe, pickup, sedan, sports utility vehicle (SUV) and van, obtained an accuracy of 92.13% for classification and 89.14% for counting. The system was able to successfully classify and count vehicles based on their car type under one system compared to other system that only counts vehicles without classifying the car types.
Published in: 2022 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET)
Date of Conference: 13-15 September 2022
Date Added to IEEE Xplore: 09 November 2022
ISBN Information: