基于透射图像的增材制造物体识别方法初探
A Preliminary Study for Identification of Additive Manufactured Objects with Transmitted Images
摘要：
增材制造有可能成为制造产品的标准方法，而产品信息对于物品分发系统来说是不可或缺的。虽然大多数产品的外表面都有条形码，但在产品内部嵌入条形码的研究正在进行中。这是因为增材制造可以同时进行制造和信息添加，并且在内部嵌入信息不会损害产品的外观。但是，没有嵌入信息的产品无法识别，而且嵌入的信息以后也无法重写。在这项研究中，我们开发了一个产品识别系统，不需要嵌入条形码内。该系统使用产品的透射图像，其包含每个产品的信息，诸如不同的内部支撑结构和制造误差。我们已经通过实验表明，如果透射图像的数据集可用，则可以以超过90%的准确率识别对象。这一结果表明，我们的方法可以用于识别没有嵌入信息的对象。
英文摘要：
Additive manufacturing has the potential to become a standard method for manufacturing products, and product information is indispensable for the item distribution system. While most products are given barcodes to the exterior surfaces, research on embedding barcodes inside products is underway. This is because additive manufacturing makes it possible to carry out manufacturing and information adding at the same time, and embedding information inside does not impair the exterior appearance of the product. However, products that have not been embedded information can not be identified, and embedded information can not be rewritten later. In this study, we have developed a product identification system that does not require embedding barcodes inside. This system uses a transmission image of the product which contains information of each product such as different inner support structures and manufacturing errors. We have shown through experiments that if datasets of transmission images are available, objects can be identified with an accuracy of over 90%. This result suggests that our approach can be useful for identifying objects without embedded information.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
