A counterfeit detection method based on deep learning infrared detector
A technology of infrared pairing and deep learning, applied in the field of infrared counterfeiting, can solve the problems of low accuracy and poor system stability, and achieve the effects of high accuracy, fast processing speed and good counterfeiting function.
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[0046] The deep learning-based infrared method for authenticating tubes of the present embodiment comprises the following steps:
[0047] See figure 1 , Step 1 is to verify the correctness of the signal according to the waveform of the infrared pair of tubes. In this embodiment, 100 RMB is detected and 6 pairs of infrared pair of tubes are installed in the banknote detector as an example. In this process, the correctness of the signal is verified by judging the denomination, version and currency of the banknote, the width of the banknote, and the presence or absence of the infrared tube waveform. The specific process is as follows:
[0048] Step 1.1 Determine whether the denomination of the banknote is 100 yuan, whether the version is 1999, 2005 or 2015, and whether the currency is RMB. If the denomination of the banknote is 100 yuan, the version is the 1999 version or the 2005 version or the 2015 version, and the currency is RMB, the three conditions are met at the same tim...
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