A method of monitoring, controlling, and optimizing operation of a container filling plant, in which image data of different areas of the container filling plant is obtained using an electronic, image-detection arrangement. The image data is then analyzed by a computer to determine if a person, a machine, or a container is in an unwanted condition sufficient to cause at least one of: disruption in the operation of the plant, injury to a person, damage to a machine, or damage to a container. A signal is then generated for either automatic correction or manual correction of the unwanted condition based on the image data.