【摘要】 智能物料搬运机器人在化工、医药、物流等行业中得到了广泛的应用。智能物料搬运机器人可提供定位、移动避障、路径规划、物料识别、二维码识别、信息接收等重要功能。其中视觉识别是机器人运转中非常重要的一个环节。文章基于OpenMV模块对物料颜色识别和二维码识别进行深入的研究，对识别技术方法进行相应的改进和优化。在相应场景中拍照选取合适颜色阈值，对二维码图像进行预处理后完成译码，提高机器人识别的速度和准确率。更多还原

【Abstract】 Intelligent material handling robots have been widely used in industries such as chemical industry, pharmaceutical industry, and logistics industry. Intelligent material handling robots can provide important functions such as positioning, mobile obstacle avoidance, path planning, material identification, QR code identification, and information reception. Visual recognition is a very important part of robot operation. This paper conducts in-depth research on material color identification and QR code identification based on the Open MV module, and correspondingly improves and optimizes the recognition technology and methods. Select the appropriate color threshold for taking photos in the corresponding scene, preprocess the QR code image, and complete decoding to improve the speed and accuracy of robot recognition.更多还原