System for removing shell pieces from hazelnut kernels using impact vibration analysis
We create a system for removing shell pieces from hazelnut kernels. This system can be used in food industry to recognize shell pieces automatically. Mel-cepstral parameters, LSF values, Lebesgue features, CHOG and FAB were used. Feature parameters were classified using an SVM with RBF and linear kernels. The system is easily trainable and can be implemented in real time.
hazelnuts impact vibration analysis line spectral frequencies mel-cepstral feature