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Nuclear radiation detection based on uncovered CMOS camera under dynamic scene

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单位: [1]Beijing Engineering Research Center of Industrial Spectrum Imaging, School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China [2]Department of Radiation Oncology, China-Japan Friendship Hospital, Beijing 100029, China
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关键词: Nuclear radiation detection Surveillance camera CMOS sensor Uncovered lens Dynamic scene

摘要:
Nuclear technology is being promoted and applied worldwide but poses a certain threat to public safety, thus necessitating nuclear radiation detection. In addition to the use of dedicated instruments, the use of surveillance cameras with complementary metal oxide semiconductor (CMOS) sensors is a promising direction for nuclear radiation detection. Currently, such use requires masking the camera lens or working under a static environment, conditions under which a camera cannot perform surveillance monitoring. In this article, we propose a method for detecting nuclear radiation based on an uncovered CMOS camera that enables nuclear radiation detection while the camera is in surveillance monitoring mode. First, we captured videos without covering the camera lens of irradiation from a 99mTc radioactive source. Then, an inter-frame difference algorithm and Gaussian smoothing method were used to reduce the interference of moving objects and visible light on the images. Finally, a series of thresholds were selected to test the validity of our detection method on a validation set. The experimental results indicate that the proposed method can effectively detect nuclear radiation. It is further verified that the surveillance camera can perform surveillance monitoring and radiation detection simultaneously.

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出版当年[2019]版:
大类 | 4 区 物理
小类 | 3 区 核科学技术 4 区 仪器仪表 4 区 物理:核物理 4 区 物理:粒子与场物理
最新[2025]版:
大类 | 3 区 物理与天体物理
小类 | 3 区 仪器仪表 3 区 核科学技术 3 区 物理:核物理 3 区 物理:粒子与场物理
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出版当年[2018]版:
Q2 NUCLEAR SCIENCE & TECHNOLOGY Q3 PHYSICS, NUCLEAR Q3 INSTRUMENTS & INSTRUMENTATION Q4 PHYSICS, PARTICLES & FIELDS
最新[2024]版:
Q3 INSTRUMENTS & INSTRUMENTATION Q3 NUCLEAR SCIENCE & TECHNOLOGY Q3 PHYSICS, NUCLEAR Q3 PHYSICS, PARTICLES & FIELDS

影响因子: 最新[2024版] 最新五年平均[2021-2025] 出版当年[2018版] 出版当年五年平均[2014-2018] 出版前一年[2017版] 出版后一年[2019版]

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第一作者单位: [1]Beijing Engineering Research Center of Industrial Spectrum Imaging, School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China
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