Name: Class A money counter
Model: JBYD-N9(A)
Brand: Roewe
Level: a level
Configuration: CIS image processing
Currency: RMB
Functions: crown number, 5 heads, 8 infrared rays, TFT display (dual display), synchronous display, ultraviolet fluorescent device, SD card recording, stacker, paper tape detection.
Weight: net weight: 9.8KG Gross weight:11.6kg.
Size: packing size: 484X397X3 18mm
The product is based on the theoretical design of "identifying fakes by authenticity", and the multi-spectral image characteristic signals extracted from real money are used as the basis for judging counterfeit money. The anti-counterfeiting identification rate of super counterfeit money and spliced (altered) coins in the latest market can reach 99.99%. The specific technical means are as follows:
1. White light image recognition: The reflective CIS image sensor with red, green and blue LED light sources is used to scan, image, collect, analyze and process the bill width with a resolution of 200DPI, so as to identify the authenticity of the bill width image features.
2. Identification of ultraviolet image: The reflective CIS image sensor with purple LED light source is used to scan, image, collect, analyze and process the bill width with a resolution of 200DPI, so as to identify the authenticity of the image characteristics of the bill width fluorescent ink.
3. Infrared image recognition: CIS image sensor is used to reflect the infrared LED light source, and the resolution is 200DPI to scan, image, collect, analyze and process the bill width, so as to realize the authenticity recognition of the bill width infrared ink image features.
4. Analysis and identification of ultraviolet characteristics: Under the excitation of a purple light-emitting diode with a specific wavelength (wavelength 365nm-385nm), the characteristics of paper or ink of paper money are amplified by receiving signals, and its spectral characteristics are analyzed by a microprocessor to identify authenticity.
5. White light image recognition: The reflective CIS image sensor with infrared light source, purple light source and red, green and blue LED light sources is used to scan, image, collect, analyze and process the bill width with a resolution of 200DPI, so as to identify the authenticity of various bill width image features.
1. Identification of infrared optical characteristics: the ticket face is linearly scanned by infrared rays with a specific wavelength, and the spectral curve of the paper's response to infrared characteristics is analyzed, and the spectral characteristics and spectral curve are analyzed by a microprocessor to identify the authenticity.
2. Identification of fluorescence characteristics: The ultraviolet light-emitting diode with a specific wavelength is used to emit color fluorescent ink and invisible special fluorescent ink, and the optical sensor is equipped with filters with different wavelengths to receive it, and the spectral characteristics are analyzed by microprocessing to identify the authenticity.
3. Identification of magnetic ink characteristics: Using multiple groups of magnetic heads to measure the magnetic ink in different positions of paper money, quantitatively, fixedly and qualitatively analyze the amplitude, frequency spectrum and other data of magnetic signals, and analyze and identify the authenticity.
4. Analysis and identification of security line features: adopting high-sensitivity inductive magnetic sensor and low-noise integrated operational amplifier circuit, the microprocessor automatically carries out AD conversion, reads the magnetic coding information of security line, and analyzes and judges the denomination and authenticity of banknotes. At present, this method can effectively deal with "simulated security line counterfeit money". Our company owns the patented technology of this invention.
5. Recognition of crown number: the paper money is scanned and analyzed by CIS image sensor, and the image features of crown number are extracted for recognition, which can be recorded on a USB flash drive or stored on a PC, compared and filtered with the preset crown number, and can give an alarm to avoid the circulation of counterfeit money with the same number.
6. Recognition of paper currency area: The paper currency is scanned by encoder sensor and CIS image sensor, and the paper currency area and the incomplete area of paper currency are recognized by data analysis and quick calculation of the processor, so that the denomination and residual function of paper currency (cracks, holes, corners, half sheets and continuous sheets, etc.) can be reliably recognized. ).
7. Tape detection: the paper spectral characteristics are excited by infrared rays, and the signals are amplified and then transmitted to the microprocessor for analysis and judgment, so as to reliably identify the tape stuck on the paper money.
Paper money enters from the paper money entrance and passes through the image discriminating device, the magnetic discriminating device, the infrared ray discriminating device and the purple light discriminating device in turn in the transmission channel. The image identification device includes the following technical processing steps: wavelength classification, acquisition and processing, software algorithm analysis, counterfeit currency processing, etc., including infrared and magnetic combination, magnetic and image combination, infrared and image, purple light and other fuzzy algorithms. Finally, judge whether the ordered banknotes are counterfeit. Fuzzy algorithm can greatly improve the ability to identify counterfeit money and ensure the security of currency circulation.