System for assessing the quality of a physical object

A visual inspection device for providing visual image data of a physical product, wherein the visual inspection device comprises:

• a lighting setup comprising a lighting device adapted for lighting the physical product with a predetermined lighting spectrum and a predetermined lighting angle, and a camera adapted for detecting light from the lighting device after the light has interacted with the physical product and further adapted to generate visual image data of the physical product based on the detected light.

A quality assessment apparatus for assessing a quality of a physical product, wherein the quality assessment apparatus comprises:

• a visual image data providing unit adapted to provide visual image data corresponding to an image of the physical product,
• an assessment model providing unit adapted to provide a trained machine learning based assessment model, wherein the trained assessment model has been trained based on historical visual data corresponding to a physical product similar to the current physical product with a known quality, and wherein the trained assessment model is adapted to determine, based on provided visual image data of a physical product, a quality of the physical product, and
• an assessment unit adapted to assess a quality of the physical product by applying the trained assessment model to the visual image data.

An assessment model training apparatus for training a machine learning based assessment model, wherein the training apparatus comprises:

• a visual image data providing unit adapted to provide historical visual image data of physical products with a known quality,
• an assessment model providing unit adapted to provide a trainable assessment model that is to be trained by utilizing machine learning,
• a training unit adapted to train the provided assessment model based on the provided historical visual image data and corresponding quality such that the trained assessment model is adapted to determine the quality of a physical product based on visual image data of the physical product.

A quality assessment method for assessing a quality of a physical product, wherein the quality assessment method comprises:

• providing visual image data corresponding to an image of the physical product,
• providing a trained machine learning based assessment model, wherein the trained assessment model has been trained based on historical visual data corresponding to a physical product similar to the current physical product with a known quality, and wherein the trained assessment model is adapted to determine, based on provided visual image data of a physical product, a quality of the physical product, and
• assessing a quality of the physical product by applying the trained assessment model to the visual image data.

An assessment model training method for training a machine learning based assessment model, wherein the training method comprises:

• providing historical visual image data of physical products with a known quality,
• providing a trainable assessment model that is to be trained by utilizing machine learning,
• training the provided assessment model based on the provided historical visual image data and corresponding quality such that the trained assessment model is adapted to determine the quality of a physical product based on visual image data of the physical product.