Automatic paper marking machine based on big data

Abstract

The invention discloses an automatic paper marking machine based on big data. The machine comprises an information receiving module, a verification module, an analysis module, a marking module and an information sending module. The information receiving module receives paper images. The verification module automatically searching verification point locations on the paper images and matching the obtained verification point locations with verification point locations formed during generation of papers at the backstage. The analysis module automatically analyzes paper point locations and intercepts test questions of papers and answers of students. The marking module matches the answers of the students with answers in a question back and carries out evaluation so as to obtain marking results. The information sending module sends the marking results to a display end or to a mobile terminal connected with the automatic paper marking machine. According to the invention, automatic marking can be performed on the paper, so the participation step of people is reduced; for the automatic marking device, one-key marking is achieved without debugging, so utilization barriers are reduced; and marking results can be fed back in real time.

Description

technical field [0001] The invention relates to the field of automatic marking, in particular to an automatic marking machine based on big data. Background technique [0002] Nowadays, electronic marking technology is widely used. Compared with the traditional manual marking method, electronic marking can effectively avoid errors caused by human errors while greatly improving the speed of marking. The commonly used automatic marking machine now involves the automatic marking and uploading function of test papers, which is mostly realized by using a scanner or a high-speed camera in conjunction with a background analysis system. Take Gaopaiyi as an example: Use Gaopaiyi to scan paper test papers, upload the generated electronic documents directly or convert them into editable documents and upload them to the system background; Test questions review. [0003] Problems and disadvantages when using a high-speed camera or a scanner to achieve automatic review: 1. Manual partici...

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Problems solved by technology

[0003] Problems and disadvantages when using a high-speed camera or a scanner to achieve automatic review: 1. Manual participation is required throughout the review of test papers, and it is difficult to ensure the quality of the review; 2. The operation of the high-speed camera and scanner is relatively cumbersome, and it is necessary to check the test papers Calibration and other operations have high requirements for front-end users; 3. Since the review process involves manual review, the review results cannot be fed back in real time

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