Automated Image Acquisition System for Automated Training of Artificial Intelligence Algorithms to Recognize Objects and Their Position and Orientation

Abstract

The present invention represents an automated system for training a machine learning algorithm for recognizing the position and orientation of objects. Given one or more objects and the corresponding three-dimensional mathematical model(s), the proposed system acquires, in an automated manner, images of the one or more objects under examination and generates, again in an automated manner, the parameters of a machine learning algorithm for recognising the objects for which training has been done. The system proposed in the present innovation comprises at least one optical image acquisition system, at least one mechanical system for moving the optical image acquisition system, or the object under examination, or both, to arbitrary positions in three-dimensional space, at least one screen (or other system) capable of generating arbitrary images, at least one electronic system, and at least one software system for controlling the optical image acquisition system, the mechanical positioning system, and for computing the weights of the neural network used for automatic recognition of the object for which the training has been done.

Dependencies are inferred from the claim text.