FIG 3 (IMAGE)

Compuscript Ltd

FIG 3

Caption

Fig. 3. Validation of the material and surface texture recognition ability of micronized multiphoton neurons. (a) Neural network structure used for fabric recognition experiments with some signal acquisition results. (b) Accuracy change graphs of the training set and test set during the neural network training process, with the final accuracy stabilized at 99% for the training set and 98.5% for the test set. (c) Confusion matrix of ten fabric classification results in the validation set with 98.5% accuracy. (d) OMAS successfully realizes model training and online recognition of fabrics with the assistance of artificial intelligence algorithms. (e) Schematic diagram of 0-9 digit Braille. (f) Experimental process of real-time signal feedback and recognition of Braille phone numbers. (g) Real-time signal acquisition and recognition of Braille phone numbers displayed on the user graphical interface.

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OEA

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