The gaming industry is an important part of today’s economy. Statistically, many quality issues are found by users in released products or updates. One reason for this is that testing methods from general software development cannot be transferred to test visual outputs without significant human effort. This work focuses on a major problem in this area, namely testing the correctness of the images displayed by cameras in relation to the content of the environment they are intended to see. The techniques used are a combination of state-of-the-art computer vision methods adapted to our specific use cases. Evaluation is performed in a well-known soccer game engine and shows that the proposed methods have the potential to significantly reduce manual work and development costs while improving product quality.