Design of a non-destructive detection system for eggs based on virtual instrument and neural network

The system-integration degree, system working efficiency and user interface of egg non-destructive detection system cannot meet the requirement of fast and accurate detection. A non-destructive detection system for eggs based on virtual instrument and artificial neural network was designed and evaluated. This system used Lab Windows/CVI as the system design platform and the neural network as the core-analysis module. This approach fully uses the advantages of both computer vision and acoustics non-destructive detection. This system realizes the amalgamation of multi-sensors in data collecting and processing.. Three kinds of tests were conducted--the system static grading test, the system dynamic grading test and the system continuous dynamic test. The test results indicate this system was easy to use and provided a good graphical user interface. The system has good veracity (system continuous dynamic test result above 90%) and low un-detecting rate at high speed of the gearing machine (27 samples/min).