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@InProceedings{rujanakraikarn:icalepcs2019-wepha132,
author = {R. Rujanakraikarn and P. Koonpong and S. Tesprasitte},
title = {{The Development of Object Detection System for Industrial Linac Project at SLRI}},
booktitle = {Proc. ICALEPCS'19},
pages = {1404--1406},
paper = {WEPHA132},
language = {english},
keywords = {radiation, controls, software, hardware, real-time},
venue = {New York, NY, USA},
series = {International Conference on Accelerator and Large Experimental Physics Control Systems},
number = {17},
publisher = {JACoW Publishing, Geneva, Switzerland},
month = {08},
year = {2020},
issn = {2226-0358},
isbn = {978-3-95450-209-7},
doi = {10.18429/JACoW-ICALEPCS2019-WEPHA132},
url = {https://jacow.org/icalepcs2019/papers/wepha132.pdf},
note = {https://doi.org/10.18429/JACoW-ICALEPCS2019-WEPHA132},
abstract = {The prototype of linear accelerator for industrial applications has been under development at Synchrotron Light Research Institute (SLRI). The primary purpose of this new project is for food irradiation application using x-ray. For efficient beam scanning purpose, a real-time object detection system has been developed by using a machine vision USB camera. The software has been developed by using OpenCV which is run on an embedded system platform. The result of the image analysis algorithm is used to control a beam scanning magnet system of the linac in real-time. The embedded system, both hardware selection and software design, running the object detection task will be described in this paper.},
}