Abstract: A method for determining the orientation of a physical object in space which determines the orientation of the object from the images captured by a set of cameras distributed around an image capture space. The method includes a set of steps which comprise: capturing multiple images of the physical object at the same time instant, machine learning modules determining the estimate of the orientation of the physical object for each of the cameras using the captured images, and a central processing unit determining the orientation of the physical object with respect to a global reference by combining the different estimated orientations.