Abstract: The invention provides a computer-implemented method of detecting a liquid level inside a container, the method comprising the steps of: capturing, by a camera of a portable device, a first image of the container; providing the first image to an input layer of a convolutional neural network, CNN; obtaining, from a final layer of the CNN, the liquid level inside the container in the first image; and storing the obtained liquid level, wherein the CNN is configured to identify features of a plurality of volume indicators of the container in the first image and determine the liquid level in the container in the first image based on the identified features.

Abstract: The invention provides a method of analysing the consistency of stool, including the steps of: providing stool of an infant, capturing, with a portable device comprising a camera, an image of the stool, providing the captured image to an input layer of a pre-trained convolutional neural network, CNN, processing the captured image using the CNN to obtain, from a final layer of the CNN, a classification vector and to obtain information about a predicted score from the classification vector, wherein at least the final layer of the CNN has been customized so that each element of the classification vector corresponds to a score of a stool analysis scale, and storing information about the predicted store.