Sustainable industrial production requires the use of advanced sensors and controls. In many industrial activities, the sensing and monitoring of processes provides valuable information for controlling and decision-making strategies as well as supporting the understanding and modeling of the phenomena involved. Since safety and efficiency requirements are continuously growing, the quality of information is becoming more and more important. A current trend to accomplish such requirements is the use of imaging sensors and systems generating and processing multidimensional data to extract key information from the processes. Further work is required to ensure that these imaging technologies are actually providing information that can be easily adapted and used in process control. This requires a holistic look at these sensing methods and data analysis.