PACKAGE SIMILARITY SEARCH FOR LOST ITEM IDENTIFICATION

Abstract

A first object out of a plurality of objects that have passed an object handling system is identified. To that end, image embeddings of images of the plurality of objects are generated by a multimodal object finder model that includes at least one neural network. A first object description text describing the first object is passed to the multimodal object finder model to generate a text embedding. Using a similarity search, a most similar image embedding among the image embeddings that is most similar to the text embedding is found, and a corresponding image and/or a text is output.

CPC Classifications