Method and device for detecting containers which have fallen over and/or are damaged in a container mass flow

A method for detecting containers which have fallen over and/or are damaged in a container mass flow, wherein the containers of the container mass flow are transported vertically on a transporter, wherein the container mass flow is captured using at least one camera as an image data flow, and wherein the image data flow is evaluated by an image processing unit,

• wherein
• the image data flow is evaluated by the image processing unit using a deep neural network in order to detect and locate the containers which have fallen over and/or are damaged,
• the deep neural network is trained with a training data set comprising images of fallen over and/or damaged containers, such that the deep neural network develops a model based on the training data set to distinguish the fallen over and/or damaged containers from each other,
• the fallen over and/or damaged containers are characterized or marked in the images of the training data set and/or in metadata of the images,
• the images of the training data set are automatically duplicated to create further images with additional combinations of fallen over and/or damaged containers,
• image segments are generated during the duplication, each of the image segments comprising a vertical or fallen over and/or damaged container, and
• the image segments are individually rotated and/or enlarged during the duplication.