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In this paper, we have proposed a new architecture of RBFNN. Neural network efficiency in embedded systems offers the possibility of reconfiguration and the genericity of the solution. Indeed, the same integrated system can approximate any input-output function thanks to the parameters update on the chip. RBF neural networks constitute a subset of the neuronal networks, which has a great potential...
Based on binocular stereo vision, a method which can automatically measure the distance between two holes on the mechanical part was proposed in order to improve the precision of the traditional measurement. Binocular vision sensor was calibrated; the edge of mechanical part was measured by using canny operator, the region of the hole was recognised by the function, the targets center was detected...
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