9 มิ.ย. 2566

The Nineteenth National Conference on Computing and Information Technology NCCIT2023

85-90

The National Conference on Computing and Information Technology

Artificial intelligence technology has played a role in analyzing large amounts of data instead of more people and has high accuracy in everyday life applications. And research on artificial intelligence is increasing accordingly. In this research, the research team presents the application of the YOLOv5 model used to train the dataset and analyze the data. The research objective is to develop an artificial intelligence system for detecting people who do not wear masks in Chanthaburi Province. There are 5 steps in the research process, consisting of 1) exploring the research storage area, 2) collecting research data, 3) designing and developing the system, 4) testing the system, and 5) analyzing. And summarized the experimental results and divided the data set into two parts, the first set was used for training and the second set was used for testing the training results. with an image size that has been resized to 640x640 pixels, in which the sample used of the system that is installed to make it easier to detect the direction of walking has a distance of no more than 5 meters and free space to suit the height The camera detects video at 480 pixels and is consistent with the processing speed due to the limited processing capacity from the video used in research and measurement of system performance...

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