The robot for recycling based on machine learning

Yu-Ping Liao, Ruei-Chang Lu, Sheng-Ying Wu, Ping-En Cheng, Guo-Cheng Xu
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引用次数: 3

Abstract

After a large-scale events, trash (e.g., bottles and cans) often accumulates at the event venue. Manually cleaning this trash can be labor and time intensive. To aid environmental protection and reduced pollution, we designed a robot to categorize items for recycling. It automatically identifies objects and their locations on the basis of the depth image, grabs them with its mechanical arm, and finally, places them in the corresponding recycling bin. The robot is based on depth imaging technology with a deep learning algorithm for recognition and categorization.
基于机器学习的回收机器人
大型活动结束后,垃圾(如瓶子和易拉罐)往往会堆积在活动场地。手动清理这些垃圾既费时又费力。为了帮助环境保护和减少污染,我们设计了一个机器人来分类回收物品。它根据深度图像自动识别物体及其位置,并用机械臂抓取物体,最后放入相应的回收箱中。该机器人基于深度成像技术,采用深度学习算法进行识别和分类。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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