Study on the Availability of 4T-APS as a Video Monitor and Radiation Detector in Nuclear Accidents

Xu, Shoulong; Zou, Shuliang; Han, Y. L.; Qu, Yantao

doi:10.3390/su10072172

Cited by 4 publications

(2 citation statements)

References 15 publications

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“…Other authors have carried out related relevant research, such as [35], in which fire smoke was detected from video sources; [36], which showed a fire detection system based on artificial intelligence; [37], which detected terrorist actions on videos; [38,39], that showed novel applications to object detection; [40,41], that showed an excellent tracking applications; [42] in which a Real-Time video analysis was made from several sources with interesting results in object tracking; [43] which proposed a secure framework for IoT Systems Using Probabilistic Image Encryption; [44] which showed an Edge-Computing Video Analytics system deployed in Liverpool, Australia; [45] where GPUs and Deep Learning were used for traffic prediction; [46] where a video monitor and a radiation detector in nuclear accidents were shown; [47] where an Efficient IoT-based Sensor Big Data system was detailed.…”

Section: Related Work In Crime Events Video Detectionmentioning

confidence: 99%

A Novel Low Processing Time System for Criminal Activities Detection Applied to Command and Control Citizen Security Centers

et al. 2019

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This paper shows a Novel Low Processing Time System focused on criminal activities detection based on real-time video analysis applied to Command and Control Citizen Security Centers. This system was applied to the detection and classification of criminal events in a real-time video surveillance subsystem in the Command and Control Citizen Security Center of the Colombian National Police. It was developed using a novel application of Deep Learning, specifically a Faster Region-Based Convolutional Network (R-CNN) for the detection of criminal activities treated as “objects” to be detected in real-time video. In order to maximize the system efficiency and reduce the processing time of each video frame, the pretrained CNN (Convolutional Neural Network) model AlexNet was used and the fine training was carried out with a dataset built for this project, formed by objects commonly used in criminal activities such as short firearms and bladed weapons. In addition, the system was trained for street theft detection. The system can generate alarms when detecting street theft, short firearms and bladed weapons, improving situational awareness and facilitating strategic decision making in the Command and Control Citizen Security Center of the Colombian National Police.

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Section: Related Work In Crime Events Video Detectionmentioning

confidence: 99%

A Novel Low Processing Time System for Criminal Activities Detection Applied to Command and Control Citizen Security Centers

et al. 2019

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“…The key issue of MAPS radiation detection is to study its response characteristics to rays or particles. Experiments have confirmed that MAPS is sensitive to single ionized particles and generates radiation-responsive events in pixel arrays [ 7 , 8 ]. Different particles, such as X-rays, γ photons, and α and β particles, show its specific size and shape of typical response events in a frame [ 9 ].…”

Section: Introductionmentioning

confidence: 99%

Strong Radiation Field Online Detection and Monitoring System with Camera

Han

Liu

et al. 2022

Sensors

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Herein, we report the γ-ray ionizing radiation response of a commercial monolithic active-pixel sensor (MAPS) camera under strong-dose-rate irradiation with an online detection and monitoring system for strong radiation conditions. We present the first results of the distribution of three types of MAPS camera and establish a linear relationship between the average response signal and radiation dose rate in the strong-dose-rate range. There is an obvious response signal in the video frames when the camera module parameters are set to automatic, but the linear response is very poor. However, the fixed image parameters are not good at adapting to the changes of the environment and affect the quality of the video frames. A dual module online radiation detection and monitoring probe was made to carry out effective video monitoring and radiation detection at the same time. The measurement results show that the dose rate detection error is less than 5% with a dose rate in the range of 60 to 425 Gy/h, and the visible light image does not have obvious distortion, deformation, or color shift due to the interference of the radiation response event and radiation damage. Hence, the system test results show that it can be used for online detection and monitoring in a strong radiation environment.

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Ultrawide-range radiation detection based on dynamic identification and analysis of the response of a monolithic active pixel sensor

Qin

Han

et al. 2022

Opt. Express

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In this paper, we present an ultrawide-range radiation detection method based on dynamic recognition and analysis of the response signal of a monolithic active pixel sensor (MAPS). Our analysis of the MAPS response mechanism determined that adaptive adjustment of the sensor’s integral time is key to quantification of ionizing radiation in an ultrawide range. We also determined that different data processing methods are required for accurate quantification of high and low radiation dose rates. The results of experiments conducted after calibration demonstrate that our technique is capable of radiation detection across five orders of magnitude (ranging from milligrays per hour to hundreds of grays per hour), with errors of less than 5%. Chip-based nuclear radiation detection can be realized using our technique, enabling MAPS to be used as a supplement to traditional detectors in characterization of unknown and complex radiation environments.

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Study on the Availability of 4T-APS as a Video Monitor and Radiation Detector in Nuclear Accidents

Cited by 4 publications

References 15 publications

A Novel Low Processing Time System for Criminal Activities Detection Applied to Command and Control Citizen Security Centers

A Novel Low Processing Time System for Criminal Activities Detection Applied to Command and Control Citizen Security Centers

Strong Radiation Field Online Detection and Monitoring System with Camera

Ultrawide-range radiation detection based on dynamic identification and analysis of the response of a monolithic active pixel sensor

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