This project has developed a tool to monitor the performance, growth and welfare of pigs at the individual level. The tool allows detection of problems at an early stage, providing monitoring and decision support, thereby preventing financial loss. This innovative approach combines an individual online monitoring system with camera vision technology and software. Accurate, advanced computer-aided analysis of individual animal data enables treatment of each animal as a production unit (instead of the pen or the herd), definition of animal-based threshold values, and hence development of early warning systems for potential drops in performance or potential health (and consequently performance and welfare) problems. For example, a pig displaying a reduced number and duration of feed visits, or excessively long gaps between visits, will be signalled and the pig farmer can intervene quickly. Also, sudden changes in activity rates caused by lameness or agonistic behaviours like tail biting can alert the farmer to separate animals that need special attention. In this way, negative influences on animal health and economic damage can be prevented. The technology developed in the PIGWISE project is currently being used in IOF2020, which is an EU project on the use of internet of things (IoT) technology in agriculture.