Images of Construction and Demolition Waste Consting of Brick and Sand-lime Brick Transported on a Conveyor Belt - Recording with a Mass Flow of 15 g per s and a Mixing Ratio of 95 vs. 5 %

This data set comprises images of bulk material of brick and sand-lime brick on a conveyor belt. The images were recorded on the small-scale optical belt sorter Tablesort. A thorough description of the system can be found in Georg Maier, Florian Pfaff, Christoph Pieper, Robin Gruna, Benjamin Noack, Harald Kruggel-Emden,Thomas Längle, Uwe D. Hanebeck, Jürgen Beyerer, Experimental Evaluation of a Novel Sensor-Based Sorting Approach Featuring Predictive Real-Time Multiobject Tracking,Transactions on Industrial Electronics, February 2020. See also the project website. This dataset is part of a batch of recordings of construction and demolition waste consisting of brick and sand-lime brick on optical sorters. Please use the search function with the keywords "Images of Construction and Demolition Waste" (in quotes) to find them. The data set was recorded with a Bonito CL-400C. Please see the debayer script on GitHub https://github.com/geomai/debayer_bonito. The frame rate is approximately 192 Hz. To this date, publications that used this data include Marcel Reith-Braun, Albert Bauer, Maximilian Staab, Florian Pfaff, Georg Maier, Robin Gruna, Thomas Längle, Jürgen Beyerer, Harald Kruggel-Emden and Uwe D. Hanebeck, GridSort: Image-based Optical Bulk Material Sorting Using Convolutional LSTMs, 22nd IFAC World Congress, Yokohama, Japan, July 2023. Acknowledgment The IGF project 20354 N of the research association Forschungs-Gesellschaft Verfahrens-Technik e.V. (GVT) was supported via the AiF in a program to promote the Industrial Community Research and Development (IGF) by the Federal Ministry for Economic Affairs and Climate Action on the basis of a resolution of the German Bundestag.本数据集包含传送带上砖块与灰砂砖组成的散料图像。该类图像通过小型光学带式分选机Tablesort采集得到。关于该系统的详细说明可参阅以下文献：Georg Maier、Florian Pfaff、Christoph Pieper、Robin Gruna、Benjamin Noack、Harald Kruggel-Emden、Thomas Längle、Uwe D. Hanebeck、Jürgen Beyerer，《搭载预测性实时多目标跟踪功能的新型传感器基分选方法的实验评估》，《工业电子学汇刊（Transactions on Industrial Electronics）》，2020年2月。亦可访问项目官网获取更多信息。本数据集是一批在光学分选机上采集的、由砖块与灰砂砖组成的建筑与拆迁废料图像的一部分。请使用搜索功能，以带引号的关键词"建筑与拆迁废料图像"（Images of Construction and Demolition Waste）进行检索以获取相关数据。本数据集通过Bonito CL-400C相机采集。可访问GitHub上的拜耳阵列解码脚本：https://github.com/geomai/debayer_bonito。采集帧率约为192 Hz。截至目前，使用本数据集的已发表文献包括：Marcel Reith-Braun、Albert Bauer、Maximilian Staab、Florian Pfaff、Georg Maier、Robin Gruna、Thomas Längle、Jürgen Beyerer、Harald Kruggel-Emden及Uwe D. Hanebeck，《GridSort：基于卷积长短期记忆网络的图像式光学散料分选》，第22届国际自动控制联合会（IFAC）世界大会，日本横滨，2023年7月。致谢 本研究得到德国工艺技术研究协会（Forschungs-Gesellschaft Verfahrens-Technik e.V.，简称GVT）的IGF项目20354 N资助，该项目由德国联邦经济与气候行动部依据德国联邦议院决议，通过工业共同体研究与发展（IGF）资助计划下的AiF予以支持。