Transforming System Test

Abstract During the product System Test phase, it is necessary to determine the passed/failed status of tests by analyzing network signals. A second layer of verification is introduced by using a camera to take pictures triggered by these signals. An image recognition model is used to identify the successful operation of the product (tests passed), by processing the captured images. The main goal of the proposed method is the improvement of quality assurance techniques. The possibility of automated defect detection in the manufacturing process will lead to improved productivity, higher product quality, and transparency in reporting.