Solder paste printing quality inspection system and method

A data processing device comprising:

• a processor;
• and
• a memory storing a plurality of instructions, which when executed by the processor, cause the processor to:
• establish at least one data inspection model comprising a data inspection model based on the random forest algorithm and a data inspection model based on the convolutional neural network algorithm;
• acquire real-time test data comprising one or both of a test image and a test value of solder paste printing quality inspections;
• preprocess the real-time test data, the preprocessing comprising obtaining parameters of the test value or obtaining image data of the test image, and standardizing the real-time test data;
• and
• determine a type of the real-time test data, and input the real-time test data into the data inspection model corresponding to the type of the real-time test data to obtain a judgment result of the solder paste printing quality inspection, wherein
• when the type of the real-time test data is the test value, the data inspection model based on the random forest algorithm is implemented;
• when the type of the real-time test data is the test image, the data inspection model based on the convolutional neural network algorithm is implemented;
• when the type of the real-time test data is the test value and the test image, the data inspection model based on the random forest algorithm and the data inspection model based on the convolutional neural network algorithm are both implemented;
• the judgment result of the test value is output by the data inspection model based on the random forest algorithm;
• and
• the judgment result of the test image is output by the data inspection model based on the convolutional neural network algorithm.