Abstract: The disclosed computer-implemented method for artificial-intelligence-based automated surface inspection can include receiving customer data, a request for a targeted model, and compensation for the requested targeted model. The compensation can include an agreement to contribute the customer data and/or targeted model to be available for other third-party entities. The method can also include retrieving the pre-trained model from a pre-trained model pool. The pre-trained model can be related to objects in a second industry. The method can include generating the targeted model from the pre-trained model and the customer data. The targeted model can be related to mapping sensor data to surface anomalies. The method can also include providing the targeted model to the third-party entity. The method can further include updating a distributed blockchain structure to include the at least one of the customer data and the targeted model.

Abstract: Apparatuses, components, devices, methods, and systems for determining jaw movement are provided. An example patient assembly for capturing motion data of a patient includes a clutch configured to be worn by the patient on a dentition of the patient. The clutch includes a dentition coupling device configured to couple to the dentition of the patient and includes an extension member configured to protrude out from the patient's mouth. The clutch also includes a position indicating system rigidly connected to the dentition coupling device. An example position indicating system emits a plurality of light beams. Some examples also include an imaging system and a motion determining device. An example imaging system captures a plurality of image sets that each include at least one of a plurality of screens upon which the light beams project. An example motion determining device processes the captured image sets to determine the motion of the patient's dentition.