Design of Intelligent Paper Counting System Based on KNN Algorithm

This system is controlled by STM32 single-chip microcomputer. FDC2214 capacitance sensor detects different capacitance values between plates, and can accurately detect the number of paper between plates A and B. With STM32F407ZGT6 microcontroller as the core processor, data processing is carried out through the least square method of fitting the slope, eliminating the influence of parasitic capacitance on the data, improving the detection accuracy, collecting stable data of different paper Numbers between the plates in advance, generating samples and self-training and learning. When the effective data is collected, the system will find the sample value with the highest similarity of characteristic values through KNN proximity algorithm between the sample data, determine the number of detected papers, and display them on the serial port screen, at the same time, the buzzer will emit sound.