A Preliminary Study for Identification of Additive Manufactured Objects with Transmitted Images
A Preliminary Study for Identification of Additive Manufactured Objects with Transmitted Images
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DOI：
10.1007/978-3-030-77772-2_29
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发表时间：
2020-05
期刊：
影响因子：
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通讯作者：
Kenta Yamamoto;Ryota Kawamura;Kazuki Takazawa;Hiroyuki Osone;Yoichi Ochiai
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文献类型：
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作者：
Kenta Yamamoto;Ryota Kawamura;Kazuki Takazawa;Hiroyuki Osone;Yoichi Ochiai
增材制造有潜力成为制造产品的标准方法，而产品信息对于物品分配系统是不可或缺的。虽然大多数产品的外表面都带有条形码，但将条形码嵌入产品内部的研究正在进行中。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。但未嵌入信息的产品无法被识别，嵌入信息以后也无法重写。在这项研究中，我们开发了一种不需要在内部嵌入条形码的产品识别系统。该系统使用产品的传输图像，其中包含每个产品的信息，例如不同的内部支撑结构和制造误差。我们通过实验证明，如果有传输图像数据集，物体识别的准确率可以达到90%以上。这一结果表明我们的方法可用于识别没有嵌入信息的对象。
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.