Presentation
CNN technology in action
Author/s | Zarandy, Akos
Espejo Meana, Servando Carlos Foldesy, Péter Kek, Laszlo Liñán Cembrano, Gustavo Rekeczky, Csaba Rodríguez Vázquez, Ángel Benito Roska, Tamás Szatmári, István Sziranyi, Tamas Szolgay, Péter |
Department | Universidad de Sevilla. Departamento de Electrónica y Electromagnetismo |
Publication Date | 2000 |
Deposit Date | 2020-02-24 |
Published in |
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ISBN/ISSN | 0-7803-6344-2 |
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 ... 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/spl times/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. |
Citation | Zarandy, A., Espejo Meana, S.C., Foldesy, P., Kek, L., Liñán Cembrano, G., Rekeczky, C.,...,Szolgay, P. (2000). CNN technology in action. En 6th IEEE International Workshop on Cellular Neural Networks and their Applications (79-81), Catania, Italia: Institute of Electrical and Electronics Engineers. |
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CNN Technology in Action.pdf | 206.2Kb | [PDF] | View/ | |