Intelligent warehousing sorting method and system based on incremental learning

Abstract

The invention relates to an intelligent warehousing sorting method and system based on incremental learning. The method comprises the following steps: identifying object types of storage object images in a storage object sample image set by adopting an open set identification algorithm; when the storage object image is a newly-added storage object image, generating a newly-added storage object image data set; optimizing the warehousing system classification model to obtain an incremental learning algorithm model, wherein the warehousing system classification model is a warehousing object classification model originally implanted in the intelligent warehousing system; training an incremental learning algorithm model by adopting a newly added storage object image data set; and inputting the to-be-detected storage object image to the trained incremental learning algorithm model to obtain the object type of the to-be-detected storage object. According to the invention, the incremental learning model is applied to the intelligent warehousing system, so that the recognition accuracy of old-class warehousing objects can be improved, and the recognition efficiency of old-class and new-class warehousing objects through autonomous learning can be improved.

Description

technical field [0001] The invention relates to the technical field of intelligent warehouse management, in particular to an intelligent warehouse sorting method and system based on incremental learning. Background technique [0002] In the field of intelligent warehouse management, the intelligent warehouse system should have the function of reasonably classifying and managing the learned object information. At the same time, high-accuracy product sorting is very important for the intelligent warehouse management system. However, at present, most intelligent warehouse management systems lack incremental technical support. Taking product sorting in the image field as an example, the existing sorting algorithm intelligently sorts the storage objects that the model has learned with high accuracy. Or newly added storage objects, the existing system will misclassify the above items as known items. This will lead to systematic classification errors and seriously affect the effic...

AI Technical Summary

Problems solved by technology

Although the above method has a high recognition accuracy rate for newly added storage objects, there are problems such as low recognition accuracy for old storage objects, which is generally called the catastrophic forgetting problem.

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