基于FPGA的等位移多点采样硬币识别研究

Research of Coins Detection for Equal Displacement and Multiple Sampling Based on FPGA

提出一种基于FPGA的能够识别硬币面值和鉴别伪币的硬币识别器设计方案。等位移采样可以保证各采样值不受硬币通过币道时速度变化的影响,多点采样可以检测更多的硬币参数信息。通过电涡流传感器实现非接触式检测,把非电量转化成可测量的电信号。通过FPGA进行高速的数据采集和处理,对硬币的识别有较高的准确性和可靠性。

The design scheme based on FPGA for the device of detection of coins which can be used to detect coin value and discern false coin is introduced. Equal displacement sample can be used to ensure that each sample value doesn＇t affected by variable speed when a coin passed by coin way. Multiple sampling can be used to detect more information about coin parameter. The non - contact measure can be solved well by the electric whirlpool sensor which converts the non- electric signal to electric signal. The data can be sampled and disposed with high speed by FPGA. It is more accurate and reliable to detect coins.