Method for Operating a Material Handling Apparatus
AssigneeKöRber Supply Chain Dk A/S
InventorJan Kristensen
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Abstract
The present disclosure relates to a computer-implemented method for operating a material handling apparatus, comprising: while the material handling apparatus is performing a handling process, receiving an alert signal indicating an imminent interruption of the handling process; analyzing, using a machine-learning model, recorded image data of the handling process; determining, using the machine-learning model, that the alert signal is a false positive; and generating a control signal for instructing the material handling apparatus to continue the handling process.
Claims17
A computer-implemented method of operating a material handling apparatus, comprising:
- while the material handling apparatus is performing a handling process, receiving an alert signal indicating an imminent interruption of the handling process;
- analyzing, using a machine-learning model, recorded image data of the handling process;
- determining, using the machine-learning model, that the alert signal is a false positive, wherein the step of determining that the alert signal is a false positive comprises:
- generating sub-probabilities for the alert signal being a false positive per camera;
- and
- determining a combined probability for the alert signal being a false positive based on the sub-probabilities;
- and
- generating a control signal for instructing the material handling apparatus to continue the handling process.
A computer-implemented method for generating training data for a machine-learning model for operating a material handling apparatus, comprising:
- while the material handling apparatus is performing a handling process, receiving an alert signal indicating an imminent interruption of the handling process;
- receiving user input from a user indicating a reaction to the alert signal, and including an instruction to continue the handling process in case the alert signal is determined to be a false positive;
- obtaining recorded image data of the handling process;
- and
- generating a training dataset comprising the user input and the image data.
Dependencies are inferred from the claim text.