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MMI testing is a functional test of devices equipped with screens, cameras, sounds, touch controls, buttons, charging, etc., such as mobile phones and tablets, and requires a substitute operator to test their functions and appearance.

The traditional manual inspection method is to enter a test process, and then the operator inspects all test items. However, automated MMI testing cannot use the human detection process. It is necessary to let products such as mobile phones enter different devices to detect corresponding items. The reason is that if precise detection is required, the detection of each item is very professional and requires high hardware costs. The method of using a dedicated machine is actually the most cost-effective and feasible method. Of course, the transmission of products between special machines can be automated, but it needs to be implemented in a plastic form, not as an analogy of replacing an operator.

Testing software needs to transform the current testing process into a process that can enter different special tests.

1) Screen test     Requires a top plate and multiple sets of high-pixel cameras for detection, equipped with traditional vision algorithms and AI deep learning algorithms to detect screen displays;

2) Appearance inspection    It requires a top plate and four groups of high-pixel cameras for detection, equipped with traditional vision algorithms and AI deep learning algorithm detection, and the vehicle needs to rotate different faces to allow the cameras to take pictures of different parts;

3) Sound test     Requires specialized artificial ears, diaphragm speakers, sound detection hardware and software;

4)MIC test     Requires specialized artificial mouth, diaphragm speakers, sound detection hardware and software;

5) Touch test     The robot hand is required to press and touch (programming, reducing the need for fixtures), and the camera detects the corresponding display;

6) Camera test A specialized camera testing environment is required to read pictures and videos using traditional vision algorithms and AI deep learning algorithms for detection;

7) Sensor test The robot hand is required to simulate various situations (programming, reducing the need for fixtures), and read the display for testing;

8) USB electrical performance Connect USB to detect current and voltage, etc.;