Abstract: A system for enabling in store routing of a user generated shopping list using existing store cameras and artificial intelligence and machine learning is provided. The system uses a pixelbuffer comparison of items imaged in real time to compared to a database of machine learned images. The system further provides item recognition and detection through machine learning so as to improve a shoppers experiences. The system and method further includes drone assistance means and radio signal item and biological detection so as to improve accuracy. Other features to improve guidance and accuracy include landmark navigation and masking to improve accuracy of item recognition and detection. The system may be a standalone kiosk.

Abstract: Apparatus and associated methods relate to a lens alignment system having opposing end effectors configured to control a position of a rigid lens body with respect to a plane. In an illustrative example, each of the opposing end effectors may engage a corresponding receptacle on respective opposite faces of the lens body. Each of the end effectors may, for example, frictionally contacts each of the corresponding receptacles within a respective portion of each of at least two contact regions. During the engagement, each of the contact regions may, for example, lie on opposite sides of an axis of rotation that extends between the end effectors. In response to at least a predetermined minimum net moment applied to the lens body, the lens body may, for example, be rotatable about the axis of rotation. Various embodiments may advantageously enable precise and/or rapid positioning of the lens body in the plane.