Textile Component Detection System Based on Near-Infrared Spectroscopy and FPGA
Quantitative determination of fiber composition is a crucial aspect of textile testing.Meeting the market's demand for accu-rate,rapid,and eco-friendly fiber composition analysis requires effective testing methods and instruments.A textile composition detection system that utilizes NIR spectroscopy and FPGA technology is presented.The system captures NIR spectral data using a Hamamatsu MEMS-FPI sensor,employs a one-dimensional convolutional neural network for modeling,reduces network complexity through knowledge distillation,and finally deploys the network on an FPGA.Experimental results demonstrate the effectiveness of the proposed approach with a strong detection performance(R-squared>0.82).Additionally,the system achieves favorable outcomes with low power consumption and minimal latency(<1 ms).
国家科技期刊平台
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