The Development of Artificial Intelligence for Face Mask Detection System in Chantaburi Province
ผู้เขียน :
Sathit Suwannawach
,
Thipwan Fufaung
,
Khanittha Sittitiamjan
เผยแพร่วันที่ :
9 มิ.ย. 2566
ประเภท :
บทความวิจัยที่ตีพิมพ์ในรายงานสืบเนื่องจากการประชุมวิชาการระดับชาติ
วารสารวิชาการ :
The Nineteenth National Conference on Computing and Information Technology NCCIT2023
เล่มที่ :
ฉบับที่ :
หน้า :
85-90
ผู้เผยแพร่ :
The National Conference on Computing and Information Technology
รายละเอียด :
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...
ลิงค์ :