Title :
CNN technology in action
Author :
Zarándy, Ákos ; Espejo, Servando ; Foldesy, Péter Földesy ; Kék, Lászlo ; Linán, Gusztávo ; Rekeczky, Csaba ; Rodriguez-Vazquez, Angel ; Roska, Tamás ; Szatmári, István ; Szirányi, Tamás ; Szolgay, Péter
Author_Institution :
Comput. & Autom. Inst., Hungarian Acad. of Sci., Budapest, Hungary
Abstract :
Two Cellular Neural Net Universal Machine (CNN-UM) prototypes are demonstrated in action. The first one is the latest 4096 cell-processor, analog I/O, analogic CNN visual microprocessor, on which online video image processing will be performed. The second one, the 20×22 binary input-binary output CNN-UM chip is introduced as an ultra high-speed focal plane array processor. In the live demonstration it captures and classifies 10000 frames in a second
Keywords :
analogue integrated circuits; cellular neural nets; online operation; video signal processing; CNN-UM; Cellular Neural Net Universal Machine; online video image processing; ultra high-speed focal plane array processor; visual microprocessor; Cellular networks; Cellular neural networks; Condition monitoring; Engines; Image processing; Laboratories; Logic; Microelectronics; Microprocessors; Prototypes;
Conference_Titel :
Cellular Neural Networks and Their Applications, 2000. (CNNA 2000). Proceedings of the 2000 6th IEEE International Workshop on
Conference_Location :
Catania
Print_ISBN :
0-7803-6344-2
DOI :
10.1109/CNNA.2000.876824
