An automated testing method for aircraft display system based on image recognition

The development and airworthiness verification of aircraft software is a complex systematic engineering, which involves a lot of software testing work. The testing of aircraft display systems is highly complex, involving numerous testing parameters and a large amount of testing data. Therefore, testers may misjudge the test results due to visual fatigue or distraction during the testing process. This paper proposes an automated testing method for aircraft display systems, which implements automated testing functions based on computer vision technologies such as deep learning. The test results are automatically determined and recorded through technologies such as image recognition and text recognition.