Cigarette Quality Control System Based on Multi-parameter Sound Detection
A quality control system of cigarette products based on multi-parameter sound detection is designed.Through four modules:sound collection,feature extraction,quality judgment and control feedback,real-time and accurate detection of cigarette quality is realized.The system uses Short-Time Fourier Transform(STFT)and wavelet transform to extract multi-dimensional features of sound signals,and combines with Support Vector Machine(SVM)classifier to judge cigarette quality,and rejects abnormal products through closed-loop feedback.The simulation test results show that the detection accuracy of the system is close to 100%,and it is efficient and robust,which provides an innovative technical scheme for cigarette quality control.
multi-parameter sound detectioncigarettequality control system
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