In order to quickly identify common fire retardant coatings brands in the market, this paper combined spectral imaging and machine learning to propose two methods to quickly detect the consistency of fire retardant coatings. Hyperspectral imaging and short video imaging technology were used to measure the spectra of seven brands of fire retardant coating samples, and the spectral data was reduced by principal component analysis to indicate the separability between samples of each brand. After preprocessing the spectral data, dividing the training and test sets, the classification accuracy of common machine learning methods, including least squares discriminant analysis and support vector machines, was evaluated. The results showed that the combination of spectral imaging technology and machine learning can accurately distinguish fire retardant coating brands. Short video imaging only required smart phones to achieve spectral acquisition, which had the advantages of low technical cost and convenient operation. The combination of this technology and machine learning had broader application prospects for in situ testing of the consistency of fire retardant coatings on site.
YUE X, ZHU Z C, SONG W R, et al
. Fire Retardant Coatings Identification Using Hyperspectral Imaging and Short Video Imaging Combined with Machine Learning[J]. Paint & Coatings Industry, 2024
, 54(3)
: 46
-53
.
DOI: 10.12020/j.issn.0253-4312.2023-321
