首页> 外国专利> GARBAGE SORTING AND RECYCLING METHOD, GARBAGE SORTING EQUIPMENT, AND GARBAGE SORTING AND RECYCLING SYSTEM

GARBAGE SORTING AND RECYCLING METHOD, GARBAGE SORTING EQUIPMENT, AND GARBAGE SORTING AND RECYCLING SYSTEM

机译:垃圾分类回收方法,垃圾分类设备以及垃圾分类回收系统

摘要

Provided are a garbage sorting and recycling method, garbage sorting equipment, and a garbage sorting and recycling system The garbage sorting and recycling method comprises: obtaining a detection image of a to-be-sorted garbage (S1); using a deep learning neural network to process the detected image to determine whether the to-be-sorted garbage belongs to a recyclable garbage (S2); if the to-be-sorted garbage belongs to the recyclable garbage, issuing a first control signal to transfer the to-be-sorted garbage into a recycling area (S3); and if the to-be-sorted garbage doesn't belong to the recyclable garbage, issuing a second control signal to transfer the to-be-sorted garbage into a non-recycling area (S4). The method of deep learning neural network is used to detect and identify the garbage in real time, and the garbage is automatically sorted and recycled.
机译:提供了一种垃圾分类回收方法,垃圾分类设备以及垃圾分类回收系统。垃圾分类回收方法包括:获取待分类垃圾的检测图像(S1);使用深度学习神经网络对检测到的图像进行处理,以确定待分类垃圾是否属于可回收垃圾(S2);如果所述待分类垃圾属于所述可回收垃圾,则发出第一​​控制信号,将所述待分类垃圾转移至回收区(S3);如果要分类的垃圾不属于可回收垃圾,则发出第二控制信号,将要分类的垃圾转移到非回收区域(S4)。深度学习神经网络的方法用于实时检测和识别垃圾,并对垃圾进行自动分类和回收。

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