Leather nondestructive testing method and leather nondestructive testing system based on spectral analysis
A non-destructive testing and spectral analysis technology, applied in the field of leather identification, can solve the problems of non-destructive testing of leather and achieve the effect of convenient identification of good and bad
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Embodiment 1
[0044] A kind of non-destructive detection method for leather based on spectral analysis provided by the present invention, the specific steps are as follows, as figure 1 Shown:
[0045] S101. Establish a spectral database:
[0046] The manufacturer or developer of the leather detection system is responsible for using known types of leather samples, pre-collecting leather sample spectral data, and setting attribute label information (leather sample type) for each set of sample spectral data, and converting all The sample spectral data and the corresponding attribute label information are stored in the spectral database;
[0047] S102, spectral data acquisition and preprocessing:
[0048] Classify the sample spectral data of the spectral database according to the attribute label information, and obtain a leather spectral model, and store it in a leather spectral model library;
[0049] S103. Real-time detection of leather spectrum:
[0050] In the shopping mall, consumers use...
Embodiment 2
[0062] Another aspect of the present invention, such as figure 2 As shown, in order to realize the above-mentioned leather non-destructive testing method based on spectral analysis, the present invention also provides a leather non-destructive testing system based on spectral analysis, including a spectral detection terminal and a server end, the spectral detection terminal is used for pre-collecting The sample spectral data of leather, and set attribute tag information for each group of described sample spectral data; And collect the leather spectral data that needs to detect; Described server end comprises spectral database, comparison processing module and leather spectral model storehouse; All The spectral database is used to store the sample spectral data and the corresponding attribute label information, and the comparison processing module is used to classify the sample spectral data through a machine learning algorithm to obtain a leather spectral model, which is store...
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