scholarly journals A low-cost radiation detection system to monitor radioactive environments by unmanned vehicles

2021 ◽  
Vol 136 (3) ◽  
Author(s):  
Andrea Chierici ◽  
Andrea Malizia ◽  
Daniele di Giovanni ◽  
Francesca Fumian ◽  
Luca Martellucci ◽  
...  
Keyword(s):  
Gamma Ray ◽  
Detection System ◽  
Low Cost ◽  
Radiation Detection ◽  
Industrial Sector ◽  
Unmanned Vehicles ◽  
Nuclear Events ◽  
Spectroscopy System ◽  
High Standards ◽  
Dirty Bombs

AbstractUnconventional scenarios with hazardous radioactive levels are expected as consequences of accidents in the industrial sector of the nuclear energy production or following intentional releases of radioactive materials for terrorist purposes (dirty bombs, indoor contaminations, etc.). Nowadays, the need to balance the high standards of safety and security through an effective detection network is a matter of paramount importance. In this work, the authors’ challenge has been to design, realize and test a low-cost gamma detection and spectroscopy system which may be used in unmanned vehicles in general and/or drones with low payload capabilities. The designed platform may be used to carry out mapping or localization operations in order to reduce the risk factor for first responders or for the population affected by radiological and nuclear events. In this paper, the design process of a gamma ray detection and spectroscopy system based on affordable and commercially available technologies is presented along with the results of our ongoing characterization of the prototype.

scholarly journals State-of-the-Art Mobile Radiation Detection Systems for Different Scenarios

Sensors ◽  
2021 ◽  
Vol 21 (4) ◽  
pp. 1051
Author(s):  
Luís Marques ◽  
Alberto Vale ◽  
Pedro Vaz
Keyword(s):  
Gamma Ray ◽  
Detection System ◽  
Radiation Detection ◽  
Nuclear Materials ◽  
Extensive Literature ◽  
Silicon Photomultiplier ◽  
Radioactive Materials ◽  
Detection Systems ◽  
Cooperative Detection ◽  
New Research

In the last decade, the development of more compact and lightweight radiation detection systems led to their application in handheld and small unmanned systems, particularly air-based platforms. Examples of improvements are: the use of silicon photomultiplier-based scintillators, new scintillating crystals, compact dual-mode detectors (gamma/neutron), data fusion, mobile sensor networks, cooperative detection and search. Gamma cameras and dual-particle cameras are increasingly being used for source location. This study reviews and discusses the research advancements in the field of gamma-ray and neutron measurements using mobile radiation detection systems since the Fukushima nuclear accident. Four scenarios are considered: radiological and nuclear accidents and emergencies; illicit traffic of special nuclear materials and radioactive materials; nuclear, accelerator, targets, and irradiation facilities; and naturally occurring radioactive materials monitoring-related activities. The work presented in this paper aims to: compile and review information on the radiation detection systems, contextual sensors and platforms used for each scenario; assess their advantages and limitations, looking prospectively to new research and challenges in the field; and support the decision making of national radioprotection agencies and response teams in respect to adequate detection system for each scenario. For that, an extensive literature review was conducted.

Face recognition in an intelligent door lock with ResNet model based on deep learning

2021 ◽  
pp. 1-11
Author(s):  
Suphawimon Phawinee ◽  
Jing-Fang Cai ◽  
Zhe-Yu Guo ◽  
Hao-Ze Zheng ◽  
Guan-Chen Chen
Keyword(s):  
Face Recognition ◽  
Detection System ◽  
Low Cost ◽  
Ease Of Use ◽  
Raspberry Pi ◽  
Training Methods ◽  
Graphics Recognition ◽  
Face Images ◽  
The Face ◽  
Door Lock

Internet of Things is considerably increasing the levels of convenience at homes. The smart door lock is an entry product for smart homes. This work used Raspberry Pi, because of its low cost, as the main control board to apply face recognition technology to a door lock. The installation of the control sensing module with the GPIO expansion function of Raspberry Pi also improved the antitheft mechanism of the door lock. For ease of use, a mobile application (hereafter, app) was developed for users to upload their face images for processing. The app sends the images to Firebase and then the program downloads the images and captures the face as a training set. The face detection system was designed on the basis of machine learning and equipped with a Haar built-in OpenCV graphics recognition program. The system used four training methods: convolutional neural network, VGG-16, VGG-19, and ResNet50. After the training process, the program could recognize the user’s face to open the door lock. A prototype was constructed that could control the door lock and the antitheft system and stream real-time images from the camera to the app.

Development of a method for detecting trace metals in aqueous solutions based on the coordination chemistry of hexahydrotriazines

The Analyst ◽  
2015 ◽  
Vol 140 (15) ◽  
pp. 5184-5189 ◽  
Author(s):  
Rudy J. Wojtecki ◽  
Alexander Y. Yuen ◽  
Thomas G. Zimmerman ◽  
Gavin O. Jones ◽  
Hans W. Horn ◽  
...  
Keyword(s):  
Heavy Metals ◽  
Coordination Chemistry ◽  
Trace Metals ◽  
Aqueous Solutions ◽  
Detection System ◽  
Low Cost ◽  
System P ◽  
Chemical Indicator

The detection of trace amounts (<10 ppb) of heavy metals in aqueous solutions is described using hexahydrotriazines as a chemical indicator and a low cost fluorimeter-based detection system.

scholarly journals Adsorption of Rare Earth Elements from Aqueous Solutions Using Geopolymers

Proceedings ◽  
2018 ◽  
Vol 2 (10) ◽  
pp. 567 ◽  
Author(s):  
Željka Fiket ◽  
Ana Galović ◽  
Gordana Medunić ◽  
Martina Furdek Turk ◽  
Maja Ivanić ◽  
...  
Keyword(s):  
Rare Earth ◽  
Rare Earth Elements ◽  
Aqueous Solutions ◽  
High Efficiency ◽  
Low Cost ◽  
Coal Ash ◽  
Industrial Sector ◽  
Efficient Removal ◽  
Model Solutions ◽  
Technology Applications

Rare earth elements, i.e., lanthanides, are important components of many recently developed technology applications. However, their increasing use in the industrial sector, medicine, and agriculture over the last few decades has provided them with the title of “new pollutants”. Different methods are now applied for the removal of various pollutants from wastewaters, whereby the emphasis is placed on adsorption due to its simplicity, high efficiency, and low cost. In the present study, geopolymers prepared from coal ash were examined regarding their capacity for the adsorption of lanthanides from model solutions. The obtained results indicate the efficient removal of lanthanides by prepared geopolymers, depicting them as effective adsorbents for this group of elements.

PO-1728: Development of a new prompt gamma ray detection system for full 3D proton range verification

2020 ◽  
Vol 152 ◽  
pp. S957-S958
Author(s):  
P. Costanza ◽  
R.I. Mackay ◽  
K.J. Kirkby ◽  
M.J. Taylor
Keyword(s):  
Gamma Ray ◽  
Detection System ◽  
Prompt Gamma ◽  
Range Verification

Design of a low-cost detection system for laser-induced plasma spectroscopy

1999 ◽  
Vol 70 (9) ◽  
pp. 3519-3522 ◽  
Author(s):  
R. E. Neuhauser ◽  
B. Ferstl ◽  
C. Haisch ◽  
U. Panne ◽  
R. Niessner
Keyword(s):  
Detection System ◽  
Low Cost ◽  
Plasma Spectroscopy ◽  
Laser Induced Plasma
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