Abstract: Disclosed are systems and methods including starting with a first number of images, generating a second number of images by digital operations on the first number of images, extracting features from the second number of images, and generating a classification model by training a neural network on the second number of images wherein the classification model provides a percentage likelihood of an image's categorisation, embedding the classification model in a processor and receiving an image for categorisation, wherein the processor is in communication with a POS system, the processor running the classification model to provide output to the POS system of a percentage likelihood of the image's categorisation.

Abstract: Disclosed are systems and methods including starting with a first number of images, generating a second number of images by digital operations on the first number of images, extracting features from the second number of images, and generating a classification model by training a neural network on the second number of images wherein the classification model provides a percentage likelihood of an image's categorisation, embedding the classification model in a processor and receiving an image for categorisation, wherein the processor is in communication with a POS system, the processor running the classification model to provide output to the POS system of a percentage likelihood of the image's categorisation.

Abstract: A seal assembly is disclosed which has a first elastomeric sealing member (11) for sealing a lubricating environment and a second non-elastomeric sealing member (13) side-by-side with the first sealing member for sealing a non-lubricated environment. The first sealing member (11) includes a sealing lip (15) having a sealing surface (16) and a generally U-shaped reinforced member (20) for supporting the sealing lip at a desired location.