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 90 vs. 10 %

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 <em>Georg Maier, Florian Pfaff, Christoph Pieper, Robin Gruna, Benjamin Noack, Harald Kruggel-Emden,Thomas Längle, Uwe D. Hanebeck, Jürgen Beyerer</em>, <strong>Experimental Evaluation of a Novel Sensor-Based Sorting Approach Featuring Predictive Real-Time Multiobject Tracking</strong>,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. <br> To this date, publications that used this data include <em>Marcel Reith-Braun, Albert Bauer, Maximilian Staab, Florian Pfaff, Georg Maier, Robin Gruna, Thomas Längle, Jürgen Beyerer, Harald Kruggel-Emden and Uwe D. Hanebeck</em>, <strong>GridSort: Image-based Optical Bulk Material Sorting Using Convolutional LSTMs</strong>, 22nd IFAC World Congress, Yokohama, Japan, July 2023. <strong>Acknowledgment</strong><br> 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的砖块与灰砂砖散料图像。图像采集自小型光学带式分选机Tablesort。关于该系统的详细说明可参阅<em>Georg Maier、Florian Pfaff、Christoph Pieper、Robin Gruna、Benjamin Noack、Harald Kruggel-Emden、Thomas Längle、Uwe D. Hanebeck、Jürgen Beyerer</em>于2020年2月发表于《IEEE工业电子学汇刊》的论文<strong>《搭载预测性实时多目标跟踪的新型传感器基分选方法实验评估》</strong>。相关项目网站亦可参阅。 本数据集为一批采集自光学分选机上的建筑与拆除废料（包含砖块与灰砂砖）图像的一部分。请使用搜索功能，以带引号的关键词“建筑与拆除废料图像”进行检索即可找到这批数据。本数据集使用Bonito CL-400C相机采集，相关去拜耳滤镜脚本可参阅GitHub仓库：https://github.com/geomai/debayer_bonito。采集帧率约为192 Hz。 截至目前，使用本数据集发表的研究包括<em>Marcel Reith-Braun、Albert Bauer、Maximilian Staab、Florian Pfaff、Georg Maier、Robin Gruna、Thomas Längle、Jürgen Beyerer、Harald Kruggel-Emden及Uwe D. Hanebeck</em>在2023年7月于日本横滨举办的第22届国际自动控制联合会世界大会上发表的论文<strong>《GridSort：基于卷积长短期记忆网络的图像式光学散料分选》</strong>。 <strong>致谢</strong> 本研究依托德国加工技术研究协会（Forschungs-Gesellschaft Verfahrens-Technik e.V., 简称GVT）的IGF项目20354 N，该项目由德国联邦经济与气候保护部依据德国联邦议院决议，通过工业共同体研究与发展（IGF）计划下属的AiF予以资助。