Nuclear radiation detection based on uncovered CMOS camera under dynamic scene

Yan, Zhangfa; Quan, Wei; Huang, Gangqin; Hu, Yulin; Zhang, Zhaohui; Dai, Tiantian

doi:10.1016/j.nima.2019.163383

Cited by 10 publications

(4 citation statements)

References 22 publications

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“…Yan et al [ 25 ] developed an uncovered CMOS camera that can detect nuclear radiation while working in surveillance mode, as shown in Figure 13 a. Videos are recorded using this camera with a volunteer person wandering around the room under the camera’s view.…”

Section: Cmos Image Sensor Applicationsmentioning

confidence: 99%

“… ( a ) CMOS camera used for nuclear radioactive signal detection; ( b ) Field experiment; ( c ) Radiation bright blotch. Adapted from [ 25 ] with permission of Elsevier, 2020. …”

Section: Figurementioning

confidence: 99%

“… S. No. Year Camera Module Design Specifications Application Name/Target Field Reference Technology Resolution SNR Frame Rate Dynamic Range 1 2020 OV2710-1 E -- YES YES YES YES Nuclear Radiation Detection ISS Zhangfa Yan et al [ 25 ] 2 2020 GS3-U3-23 S6 C-C -- YES No YES No Contact less Neonatal Pulse Rate Sensing ISS M. Paul et al [ 26 ] 3 2020 OV9653 -- YES YES YES YES HODET ISS Joseph st. Cyr et al [ 1 ] 4 …”

Section: Table A1mentioning

confidence: 99%

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CMOS Image Sensors in Surveillance System Applications

Sukhavasi

Elleithy

Abuzneid

et al. 2021

Sensors

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Recent technology advances in CMOS image sensors (CIS) enable their utilization in the most demanding of surveillance fields, especially visual surveillance and intrusion detection in intelligent surveillance systems, aerial surveillance in war zones, Earth environmental surveillance by satellites in space monitoring, agricultural monitoring using wireless sensor networks and internet of things and driver assistance in automotive fields. This paper presents an overview of CMOS image sensor-based surveillance applications over the last decade by tabulating the design characteristics related to image quality such as resolution, frame rate, dynamic range, signal-to-noise ratio, and also processing technology. Different models of CMOS image sensors used in all applications have been surveyed and tabulated for every year and application.

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Section: Cmos Image Sensor Applicationsmentioning

confidence: 99%

“… ( a ) CMOS camera used for nuclear radioactive signal detection; ( b ) Field experiment; ( c ) Radiation bright blotch. Adapted from [ 25 ] with permission of Elsevier, 2020. …”

Section: Figurementioning

confidence: 99%

Section: Table A1mentioning

confidence: 99%

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CMOS Image Sensors in Surveillance System Applications

Sukhavasi

Elleithy

Abuzneid

et al. 2021

Sensors

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show abstract

“…In recent years, with the development of semiconductor technology, due to the low cost, low power consumption, wide response range and easy data acquisition and processing, scholars at home and abroad have begun to use CMOS probes for γ and X-ray radiation detection [9][10][11][12][13], which shows the great application potential of MAPS in the field of radiation environment imaging and nuclear detection. At present, some scholars have studied the noise impact of radiation on maps and the mechanism of charge collection efficiency under a radiation environment [14][15][16][17].…”

Section: Introductionmentioning

confidence: 99%

Research on Calculation Method of Radiation Response Eigenvalue of a Single-Chip Active Pixel Sensor

Qin

Dong

et al. 2022

Sensors

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In this paper, we present a calculation method for the radiation response eigenvalue based on a monolithic active pixel sensor. By comparing the statistical eigenvalues of different regions of a pixel array in bright and dark environments, the linear relationship between the statistical eigenvalues obtained by different algorithms and the radiation dose rate was studied. Additionally, a dose rate characterization method based on the analysis of the eigenvalues of the MAPS response signal was proposed. The experimental results show that in the dark background environment, the eigenvalues had a good linear response in the region of any gray value in the range of 10–30. In the color images, due to the difference in the background gray values in adjacent color regions, the radiation response signal in dark regions was confused with the image information in bright regions, resulting in the loss of response signal and affecting the analysis results of the radiation response signal. For the low dose rate radiation field, as the radiation response signal was too weak and there was background dark noise, it was necessary to accumulate frame images to obtain a sufficient response signal. For the intense radiation field, the number of response events in a single image was very high, and only two consecutive frames of image data needed to be accumulated to meet the statistical requirements. The binarization method had a good characterization effect for the radiation at a low dose rate, and the binarization processing and the total gray value statistics of the response data at a high dose rate could better characterize the radiation dose rate. The calibration experiment results show that the binarization processing method can meet the requirements of using a MAPS for wide-range detection.

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Artifact analysis of a far-field coded-aperture gamma camera extended to partially coded field-of-view

Liu²,

Zhang³

et al. 2022

Radiat Detect Technol Methods

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Nuclear radiation detection based on uncovered CMOS camera under dynamic scene

Cited by 10 publications

References 22 publications

CMOS Image Sensors in Surveillance System Applications

CMOS Image Sensors in Surveillance System Applications

Research on Calculation Method of Radiation Response Eigenvalue of a Single-Chip Active Pixel Sensor

Artifact analysis of a far-field coded-aperture gamma camera extended to partially coded field-of-view

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