Title :
Neural interpolator for image recognition in the process of microdevice assembly
Author_Institution :
Kyiv Nat. Taras Shevhenko Univ., Kiev, Ukraine
Abstract :
The neural interpolator for the image recognition system is proposed. The system is developed and used for the microassembly process. The system permits us to increase the assembly process precision. A pin-to-hole insertion task was used to test the developed system.
Keywords :
image recognition; interpolation; microassembling; micromechanical devices; assembly process precision; image recognition; microdevices assembly process; neural interpolator; pin-to-hole insertion task; Assembly systems; Cameras; Control systems; Image recognition; Light sources; Microassembly; Microfiltration; Neurons; Prototypes; TV;
Conference_Titel :
Neural Networks, 2003. Proceedings of the International Joint Conference on
Print_ISBN :
0-7803-7898-9
DOI :
10.1109/IJCNN.2003.1223754
