Images of Construction and Demolition Waste Consting of Brick and Sand-lime Brick Transported on a Conveyor Belt - Recording with a Mass Flow of 20 g per s and a Mixing Ratio of 10 vs. 90 %

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散料的图像。这些图像由小型光学带式分选机Tablesort采集。该系统的详细说明可参见Georg Maier、Florian Pfaff、Christoph Pieper、Robin Gruna、Benjamin Noack、Harald Kruggel-Emden、Thomas Längle、Uwe D. Hanebeck、Jürgen Beyerer发表于《IEEE工业电子汇刊》（Transactions on Industrial Electronics）2020年2月的论文《一种集成预测式实时多目标跟踪的新型传感器基分选方法的实验评估》（原文标题：Experimental Evaluation of a Novel Sensor-Based Sorting Approach Featuring Predictive Real-Time Multiobject Tracking）。另可参阅项目官网。 本数据集是一批在光学分选机上采集的建筑及拆除废料影像的组成部分，该批废料由砖块与灰砂砖构成。请使用搜索功能，以带引号的关键词"Images of Construction and Demolition Waste"进行检索以获取相关数据。 本数据集由Bonito CL-400C相机采集，相关去拜耳阵列脚本（debayer script）可参阅GitHub仓库：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学术成果包括：Marcel Reith-Braun、Albert Bauer、Maximilian Staab、Florian Pfaff、Georg Maier、Robin Gruna、Thomas Längle、Jürgen Beyerer、Harald Kruggel-Emden及Uwe D. Hanebeck发表于2023年7月日本横滨第22届国际自动控制联合会（IFAC）世界大会的论文《GridSort：基于卷积长短期记忆网络的图像式光学散料分选》（原文标题：GridSort: Image-based Optical Bulk Material Sorting Using Convolutional LSTMs）。 致谢 本项目得到德国联邦经济事务与气候行动部的资助：该资助由工业共同体研究与发展（IGF）计划下的AiF机构，基于德国联邦议院的决议，为研究协会Forschungs-Gesellschaft Verfahrens-Technik e.V.（GVT）的IGF项目20354 N提供支持。