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: The disclosed computer-implemented system and method for artificial-intelligence-based automated object identification and manipulation can include receiving a subsystem request from a third-party entity, the request being related to a subsystem for an object identification and manipulation system. The system and method also includes creating a developer request for a model suitable for the subsystem, the developer request including at least one approval condition. The system and method further includes evaluating a developer proposal received in response to the developer request, the developer proposal including a trained model, the evaluating including determining an accuracy level of the trained model, and the evaluating includes designating the trained model as an approved model if the developer proposal is approved. Also, the system and method includes providing the approved model to the third-party entity in response to the subsystem request.

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.