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REFUSE CONTAMINATION ANALYSIS

机译:垃圾污染分析

摘要

A computer-implemented method for analyzing refuse includes operations of receiving sensor data indicating an operational state of a vehicle body component of a refuse collection vehicle (RCV); analyzing the sensor data to detect a presence of a triggering condition based at least partly on a particular operational state of the vehicle body component, as indicated by the sensor data; in response to detecting the triggering condition, accessing image data indicating a physical state of refuse collected by the RCV; providing the image data as input to at least one contaminant detection model trained, using at least one machine learning (ML) algorithm, to output a classification of the image data, the classification indicating a degree of contamination of the refuse; and storing, in a machine-readable medium, the classification of the image data.
机译:一种用于分析垃圾的计算机实现的方法,包括以下步骤:接收指示垃圾收集车辆(RCV)的车身部件的工作状态的传感器数据;分析传感器数据以至少部分地基于车身部件的特定操作状态来检测触发条件的存在,如传感器数据所示;响应于检测到触发条件,访问指示RCV收集的垃圾的物理状态的图像数据;提供图像数据作为输入到至少一种使用至少一种机器学习(ML)算法训练的污染物检测模型的输出,以输出图像数据的分类,该分类指示垃圾的污染程度;在机器可读介质中存储图像数据的分类。

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