Vehicle Object Detection and Classification Using Machine Learning Algorithm in Tangerang City
Keywords:
machine learning, vehicle detection, vehicle classification, you only look once,Abstract
Vehicles are tools that almost all humans use to move or move from far or near places. There are various types of vehicles such as two-wheeled vehicles (motorcycles) and four-wheeled vehicles (cars, trucks and buses). Advances in transportation technology have an impact on the development of road traffic and transportation, resulting in changes to road infrastructure, transportation facilities and other traffic equipment. Research on artificial intelligence such as detection and classification of vehicle objects can make it easier for researchers to recognize objects and calculate passing vehicles contained in a video recording. In this study, the author uses the YOLO object detection algorithm to detect and classify vehicles. This study uses a dataset of four classes, namely cars, motorcycles, trucks and buses. The results of the testing program using the YOLO object detection method were able to distinguish motorcycles with 4 wheels or more marked by the detection of a green box on the vehicle in the video frame. based on the YOLO object detection method, it has succeeded in calculating the number of vehicles that pass through the detection sensor with an accuracy value of 79%.
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