Abstract: Systems and methods are provided for taking the inventory of liquids dispensed in full and partially filled containers. An electronic device captures images of containers and associated liquid volumes. The containers are identified by a shape, label, universal purchasing code, or other identifying means using a graphical user interface input/output. An image of the container is displayed and a border around the container is provided to create a duplicate thereof as well as the total volume. Pixel imaging of the container and contents (including meniscus detection) is achieved through detecting connected pixels. A volume of liquid remaining in the container is determined as a function of the connected pixels and an inventory including amounts of particular liquids is provided by utilizing convolutional neural networks. The system and methods allow accurate liquid inventory while limiting human input to operating the electronic device to capture the initial image of the container.