Abstract: Apparatus having model-based machine learning and inferencing logic for controlling object transfer, comprises: an image input component to receive image data derived from a captured image of an object; a captured image classifier to 5 generate a first classification of the object by activating a trained model to analyse the image data; an input component to receive an object identifier for the object; an object identification classifier to generate a second classification of the object according to the object identifier; matching logic to detect failure to reconcile the first and second classification; heuristic logic responsive to the matching logic to 10 determine a causal factor in the failure; and training logic, operable when the heuristic logic determines that a causal factor in the failure to reconcile is a deficient first classification, to provide model training input comprising the image data and the object identifier to the model-based machine learning logic.

Abstract: A computer implemented method for displaying values for an output variable comprising displaying a first user interface element configured to present values of a first input variable; displaying a second user interface element configured to present values of a second input variable; displaying a third user interface element configured to present values of an output variable, the output variable varying in dependence upon the first and second input variables; receiving first user input of a value for the first variable via the first user interface element; receiving second user input of a value for the second variable via the second user interface element; and updating the third user interface element to indicate at least one value of the output variable in response to the first user input and the second user input.