【摘要】 采用先进的计算机视觉、人工神经网络和PLC控制技术,提出了一种基于FX3U-48MT/ES-A PLC控制器的水果分类智能控制系统,分析了系统的工作原理、芒果样本采集处理与识别模型,给出了PLC控制系统的软硬件设计。试验结果表明,水果分类智能控制系统可以利用神经网络和计算机视觉方法对芒果进行适当的分类,精度可以高达94.23%,具有非常重要的现实意义。更多还原

【Abstract】 It proposed an intelligent fruit classification control system based on FX3 U-48 MT/ES-A PLC controller by using advanced computer vision, artificial neural network and PLC control technology. And it analyzed the working principle of the system, mango sample collection, processing and recognition model, and it gave the hardware and software design of the PLC control system. The experimental results show that the intelligent fruit classification control system can use neural network and computer vision method to classify mango properly, and the accuracy can reach 94.23%, which has very important practical significance.更多还原