Industrial Workflows Recognition by Computer Vision and AI Technologies

The introduction of the Gigabit-Ethernet for Machine Vision opened a new road for workflows recognition in industrial and SMEs environments. The network centric approach to running a production level vision system are coming on stream, which provide distributed computing across industrial developments. Humans and machines interaction can be exploited and surveyed using artificial intelligence algorithms applied on signals from multiple standalone agents on camera networks and giving to the end user, a full view of abnormal or alarm events conditions during the workflows execution. This article is presenting the architecture of such a system, where the designer of the workflows, plus the engineer of the workflow surveillance system should consider, in order either to simulate the industrial process offline, or during the real time workflow execution in the SMEs or in the industrial environment. The related methodology is based on Java technologies, which are presented and latest innovations from the multi agents and workflow processes composition.