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Abstract

A product testing system and an auxiliary testing method are provided. The product testing system includes a computer and a test fixture. The computer has a machine learning model. The auxiliary testing method includes the following steps. Firstly, the test fixture tests the plural under-test products sequentially, and generates corresponding test data to the computer. Then, the computer generates plural trend line graphs corresponding to the test data. Then, the operator determines corresponding human judging results according to the trend line graphs. The test data, the trend line graphs and the human judging results are inputted into the machine learning model, and a learning process is performed. If the number of samples reaches a predetermined threshold value, the machine learning model generates auxiliary judging results according to the corresponding test data and the corresponding trend line graphs.

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