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Search Results (3)

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Keywords = counterfeit coins

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18 pages, 7002 KiB  
Article
Development of Electromagnetic Acoustic Transducer System for Coin Classification
by Duy-Vinh Dao, Jen-Tzong Jeng, Van-Dong Doan, Huu-Thang Nguyen and Bo-Yao Liang
Sensors 2022, 22(23), 9055; https://doi.org/10.3390/s22239055 - 22 Nov 2022
Viewed by 2797
Abstract
In this work, a method for identifying counterfeit coins based on an electromagnetic acoustic transducer (EMAT) to detect the difference in the coin’s natural acoustic frequency response is presented. In the experimental system, the acoustic oscillation induced by a pulsed magnetic field is [...] Read more.
In this work, a method for identifying counterfeit coins based on an electromagnetic acoustic transducer (EMAT) to detect the difference in the coin’s natural acoustic frequency response is presented. In the experimental system, the acoustic oscillation induced by a pulsed magnetic field is received by a microphone and recorded by an oscilloscope. The natural acoustic frequency of the coin is resolved by the fast Fourier transform (FFT) method on the computer. It is found that the natural frequencies of the possible counterfeit coins deviate significantly from the standard ranges of 16.9 to 17.4 kHz for the authentic 50 New Taiwan Dollar (NTD) coins. The observed natural frequencies of the coin are consistent with the values predicted by analytical estimation. We also built a prototype EMAT coin classification system to detect the natural acoustic frequency by direct frequency counting using a microcontroller. The prototype system demonstrates that a counterfeit coin can be identified by its natural frequency in less than 30 ms using the EMAT method. The proposed technique can be applied to the vending machine to improve the accuracy in discriminating between authentic and counterfeit coins. Full article
(This article belongs to the Special Issue Advanced Electromagnetic Sensors in Environmental, Industrial and Medical Applications II)
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11 pages, 2892 KiB  
Article
Ion Beam Analysis and 14C Accelerator Mass Spectroscopy to Identify Ancient and Recent Art Forgeries
by Lucile Beck
Physics 2022, 4(2), 462-472; https://doi.org/10.3390/physics4020031 - 26 Apr 2022
Cited by 6 | Viewed by 3383
Abstract
Forgeries exist in many fields. Money, goods, and works of art have been imitated for centuries to deceive and make a profit. In the field of Cultural Heritage, nuclear techniques can be used to study art forgeries. Ion beam analysis (IBA), as well [...] Read more.
Forgeries exist in many fields. Money, goods, and works of art have been imitated for centuries to deceive and make a profit. In the field of Cultural Heritage, nuclear techniques can be used to study art forgeries. Ion beam analysis (IBA), as well as 14C accelerator mass spectrometry (AMS), are now established techniques, and the purpose of this paper is to report on their capacity to provide information on ancient, as well as modern, forgeries. Two case studies are presented: the production of silver counterfeit coins in the 16th century and the detection of recent forgeries of 20th century paintings. For the counterfeit coins, two silvering processes were identified by IBA: mercury silvering (also called amalgam silvering or fire silvering) and pure silver plating. The discovery of 14 mercury silvered coins is an important finding since there are very few known examples from before the 17th century. In the detection of recent forgeries, among the five paintings examined, 14C dating showed that three of them are definitely fakes, one is most likely a fake, and one remains undetermined. These results were obtained by using the bomb peak calibration curve to date canvas and paint samples. Full article
(This article belongs to the Special Issue Selected Papers from Applied Nuclear Physics Conference 2021)
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14 pages, 339 KiB  
Article
Using the Optical Mouse Sensor as a Two-Euro Counterfeit Coin Detector
by Marcel Tresanchez, Tomàs Pallejà, Mercè Teixidó and Jordi Palacín
Sensors 2009, 9(9), 7083-7096; https://doi.org/10.3390/s90907083 - 4 Sep 2009
Cited by 30 | Viewed by 19386
Abstract
In this paper, the sensor of an optical mouse is presented as a counterfeit coin detector applied to the two-Euro case. The detection process is based on the short distance image acquisition capabilities of the optical mouse sensor where partial images of the [...] Read more.
In this paper, the sensor of an optical mouse is presented as a counterfeit coin detector applied to the two-Euro case. The detection process is based on the short distance image acquisition capabilities of the optical mouse sensor where partial images of the coin under analysis are compared with some partial reference coin images for matching. Results show that, using only the vision sense, the counterfeit acceptance and rejection rates are very similar to those of a trained user and better than those of an untrained user. Full article
(This article belongs to the Special Issue State-of-the-Art Sensors Technology in Spain)
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