Storage object management for cold storage plant, and cold storage plant

Abstract

The invention provides a storage object management for a cold storage plant, and the cold storage plant. The system comprises a training module based on a convolution neural network, wherein the training module is used for learning and detecting target storage objects; a recognition module based on a convolution neural network, wherein the recognition module is used for recognizing whether there are the target storage objects or not and the types of the target storage objects; a detection module based on a convolution neural network, wherein the detection module is used for the capturing detection of whether there are the target storage objects and whether the target storage objects are stored in the cold storage plant or are taken out of the cold storage plant. The system can build the convolution neural network through the training, verification and testing steps, so as to achieve the automatic learning, interaction, recognition and counting of the target storage objects in the cold storage plant, the types of the target storage objects and the changes of the number of each type of target storage objects according to a sampling video. The using mode of a conventional cold storage plant does not need to be changed. The system achieves the intelligent and automatic counting and interaction functions, is high in management precision, is accurate in statistic data, and is good in use flexibility.

Description

technical field [0001] The invention relates to the technical field of refrigeration equipment, in particular to a storage management system for a refrigeration device and a refrigeration device. Background technique [0002] Many people think that food will be safe if it is put in the refrigerator, and it will not change the taste or spoilage. In fact, the refrigerated device only inhibits the reproduction speed of bacteria by cooling down. However, if the food is stored for too long, it will also deteriorate, and nausea, vomiting and diarrhea may occur after eating. Household refrigeration devices generally do not have the function of counting ingredients. The storage period of food is determined by user experience, and it is easy to omit food and cause food to deteriorate and affect health. For the large-scale frozen storage industry, the statistics of food materials need special personnel to be responsible, and the cost is relatively high. Once there is a omission, it...

AI Technical Summary

Problems solved by technology

[0005] The present invention provides a storage management system for refrigerating devices, aiming to overcome the defects in the prior art that the storage statistics do not conform to traditional usage habits and the management cost is high

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