This thesis focuses on the implementation of artificial intelligence and augmented reality in the field of aviation, focusing on human fatigue detection systems. An overview of existing appliances in various spheres, including aviation, is given and analyzed. A basic human fatigue detection system based on real-time object detection was developed. However, it lacks accuracy due to one-step detection procedure, which is crucial in aviation, where high standards of safety are vital. Overall, there are promising opportunities for such technologies to enhance aviation safety, and therefore they should be applied first in flight simulators for testing.