论文标题
自动包装结构识别的图像处理管道
An Image Processing Pipeline for Automated Packaging Structure Recognition
论文作者
论文摘要
发货和接收物流商品以及运输本身涉及大量的手动努力。运输商品（包括其包装和标签）需要在许多供应链网络点进行仔细检查，验证或认可。这些过程具有自动化电位，我们旨在使用计算机视觉技术来利用它们。更确切地说，我们为基于单个RGB图像的标准化物流运输的包装结构完全自动识别提供了认知系统。我们的贡献包含适当的系统设计的描述及其对相关现实数据的评估。此外，我们讨论了我们的算法选择。
Dispatching and receiving logistics goods, as well as transportation itself, involve a high amount of manual efforts. The transported goods, including their packaging and labeling, need to be double-checked, verified or recognized at many supply chain network points. These processes hold automation potentials, which we aim to exploit using computer vision techniques. More precisely, we propose a cognitive system for the fully automated recognition of packaging structures for standardized logistics shipments based on single RGB images. Our contribution contains descriptions of a suitable system design and its evaluation on relevant real-world data. Further, we discuss our algorithmic choices.
