A system and method for filling containers with a precise amount of fluid is disclosed. The system and method use artificial neural network logic to sense conditions and to control the two-valve dispensing unit based on the sensed conditions to fill containers with a precise amount of fluid. Using neural network logic combined with sensors and controllers for equipment eliminates the significant human effort and human errors associated with manually filling containers with fluid. Furthermore, the neural network can log data quicker and with more accuracy than a human manually logging data. The system and method use a two-valve dispensing unit to precisely fill and to prevent and clear clogs caused by fluid solidifying within the dispensing unit.

A system and method for filling containers with a precise amount of fluid is disclosed. The system and method use artificial neural network logic to sense conditions and to control the two-valve dispensing unit based on the sensed conditions to fill containers with a precise amount of fluid. Using neural network logic combined with sensors and controllers for equipment eliminates the significant human effort and human errors associated with manually filling containers with fluid. Furthermore, the neural network can log data quicker and with more accuracy than a human manually logging data. The system and method use a two-valve dispensing unit to precisely fill and to prevent and clear clogs caused by fluid solidifying within the dispensing unit.

In one embodiment, an apparatus for sorting articles includes a carrier arranged to carry articles from an input to one of a plurality of outputs, a sorting controller arranged to control which output an article is delivered to dependent on a determined characteristic of the article and respective sorting criteria associated with each said output, wherein the sorting criteria comprise a value parameter of a completed package of articles associated with the respective outputs.