Human aspect detection is a challenging task, but it is also an important one. There are a number of possible solutions to this problem, and research in this area is ongoing. We believe that our approach, which uses a custom trained model on YOLOv8 to detect humans, and the PoseNet model to calculate the relative height of a person and the difference between different body parts, is a valuable contribution to the field of human aspect detection. We believe that our approach can be used in a variety of applications, such as security, surveillance, and healthcare.