Method and system for uploading and identifying electronic file materials in parallel

Abstract

The invention relates to a method and a system for uploading and identifying electronic file materials in parallel, and belongs to big data processing. The method comprises the following steps that S1, when a user uploads materials in batches, the uploaded materials are grouped according to time periods, and when the materials are uploaded, an identification task is sent; S2, after optical character recognition (OCR) receives the identification task, OCR recognition is carried out, the identification state is changed, and the task is marked as in the state of material identification; S3, the grouped materials are continuously received to identify the materials, and after the last group of materials is sent to an OCR identification task, the materials are marked as in the state of receiving completion; S4, the last batch of materials are identified through the OCR, an automatic homing algorithm is called, and the electronic file materials are classified and identified according to directories. The total time consumption is reduced.

Description

technical field [0001] The invention belongs to the field of big data processing, and relates to a parallel method and system for uploading and identifying electronic file materials. Background technique [0002] In the synchronous generation of electronic dossiers along with the case, the user uploads the materials of the electronic dossier and automatically returns them. The system assigns the corresponding material to the specified directory. [0003] In this process, the user will wait twice, the first time is when the material is uploaded, and the second time is when OCR identification and automatic assignment are based on two necessary processes, for example, it takes 30 seconds to upload 100 pictures, Recognition takes 30 seconds (the example is calculated based on 20QPS, 6 seconds for a single picture), and it takes 60 seconds in total. The user needs to wait for the total time of the serial tasks of the two processes. The more materials, the longer the time spent. ...

AI Technical Summary

Problems solved by technology

[0003] In this process, the user will wait twice, the first time is when the material is uploaded, and the second time is when OCR identification and automatic assignment are based on two necessary processes. For example, it takes 30 seconds to upload 100 pictures, Recognition takes 30 seconds (the example is calculated based on 20QPS, 6 seconds for a single picture), and it takes 60 seconds in total. The user needs to wait for the total time of the serial tasks of the two processes. The more materials, the longer the time spent

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