基于机器视觉的杏子热风干燥控制系统设计

本文提出了一种基于机器视觉的杏子热风干燥控制系统，该系统使用计算机视觉技术，对杏子进行检测和分类，并自动控制热风干燥过程中的温度、风速。系统采用基于神经网络的目标检测算法，对杏子进行检测和分割，利用图像处理技术提取杏子的特征，并使用YOLOv7对杏子进行分类。通过调整热风干燥的温度、风速和时间等参数，实现了对杏子干燥过程中的品质保护，可保持杏子的质量和口感，提升杏干的经济价值，该系统具有一定的应用前景和推广价值。

Design of apricot hot air drying control system based on machine vision

In this study, a machine vision-based hot air drying control system for apricots is proposed, which uses computer vision technology to detect and categorize apricots and automatically control the temperature and wind speed in the hot air drying process. The system uses a neural network-based target detection algorithm to detect and segment apricots, extracts the features of apricots using image processing technology, and classifies apricots using YOLOv7. By adjusting the parameters of temperature, wind speed and time of hot air drying, the quality protection of apricot drying process is realized, which can maintain the quality and taste of apricot and enhance the economic value of dried apricot, and the system has certain application prospects and popularization value.