Industrial workflows recognition by computer vision and AI technologies

Sardis, E; Varvarigou, T

dc.contributor.author	Sardis, E	en
dc.contributor.author	Varvarigou, T	en
dc.date.accessioned	2014-03-01T02:46:51Z
dc.date.available	2014-03-01T02:46:51Z
dc.date.issued	2010	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/32885
dc.subject	Artificial intelligence	en
dc.subject	Computer vision	en
dc.subject	Industrial workflows	en
dc.subject	JADE	en
dc.subject	Multi agents	en
dc.subject	WADE	en
dc.subject.other	AI Technologies	en
dc.subject.other	Camera network	en
dc.subject.other	Distributed Computing	en
dc.subject.other	End users	en
dc.subject.other	Industrial development	en
dc.subject.other	Industrial environments	en
dc.subject.other	Industrial processs	en
dc.subject.other	JADE	en
dc.subject.other	Java technologies	en
dc.subject.other	Machine vision	en
dc.subject.other	Multi agent	en
dc.subject.other	Network-centric approach	en
dc.subject.other	Offline	en
dc.subject.other	Production level	en
dc.subject.other	Real time	en
dc.subject.other	Surveillance systems	en
dc.subject.other	Vision systems	en
dc.subject.other	WADE	en
dc.subject.other	Work-flows	en
dc.subject.other	Workflow execution	en
dc.subject.other	Workflow process	en
dc.subject.other	Artificial intelligence	en
dc.subject.other	Distributed computer systems	en
dc.subject.other	Industry	en
dc.subject.other	Innovation	en
dc.subject.other	Management	en
dc.subject.other	Multimedia signal processing	en
dc.subject.other	Signal processing	en
dc.subject.other	Computer vision	en
dc.title	Industrial workflows recognition by computer vision and AI technologies	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/IIHMSP.2010.149	en
heal.identifier.secondary	http://dx.doi.org/10.1109/IIHMSP.2010.149	en
heal.identifier.secondary	5636265	en
heal.publicationDate	2010	en
heal.abstract	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. © 2010 IEEE.	en
heal.journalName	Proceedings - 2010 6th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIHMSP 2010	en
dc.identifier.doi	10.1109/IIHMSP.2010.149	en
dc.identifier.spage	587	en
dc.identifier.epage	590	en