Research on Multi-Sensor Information Fusion for the Detection of Surface Defects in Copper Strip

Based on the defects detection on the surface of the copper strips, this paper firstly studies how to enhance system stability with the multi-sensors information fusion method. This method combines infrared, visible light and laser sensors to deal with defects detection, utilizes fuzzy logic and neural network to carry on the sensor´s management, and uses wavelet transformation in image fusion. Experimental results show that this method can effectively detect surface defects in copper strips. Furthermore, it enhances the accuracy of recognizing and classifying, and makes the overall system more automatic and intelligent.