Customer signature detection method and device in double-record data quality inspection

Abstract

The invention provides a customer signature detection method and device in double-record data quality inspection, which can be used in the financial field and other fields. The method comprises the following steps: acquiring double-recording data and electronic signature information, and decomposing the double-recording data to obtain video data; analyzing the video data to obtain a signature picture group, and identifying the signature picture group to obtain a signature identification result; according to a preset validity rule, performing validity detection on the electronic signature information to obtain a validity detection result; and generating a client signature detection result according to the signature recognition result and the validity detection result. According to the method, the video data and the electronic signature information are identified and detected, the detection accuracy of a customer signature link during double-recording quality inspection is improved, the signature picture group is identified and detected, the problem that the detection accuracy is not high due to the fact that detection is carried out purely depending on the electronic signature information is solved; therefore, the double-recording quality inspection success rate is improved.

Description

technical field [0001] The invention relates to the technical field of audio and video processing, in particular to a method and device for detecting customer signatures in quality inspection of double-recorded data. Background technique [0002] In order to protect the rights and interests of consumers, regulatory agencies require commercial banking and financial institutions to regulate the sales behavior of financial institutions through audio and video recording (double recording) when selling financial products such as wealth management and consignment insurance policies. At present, commercial banks usually cache video files locally, and upload them to the cloud asynchronously after the entire double-recording video is recorded, for subsequent compliance review by regulatory authorities. [0003] In order to ensure the compliance of double-recorded videos, financial institutions generally use artificial intelligence technology to check offline audio and video data, but...

AI Technical Summary

Problems solved by technology

[0003] In order to ensure the compliance of double-recorded videos, financial institutions generally use artificial intelligence technology to check offline audio and video data, but there is a problem that the customer signature link cannot be accurately detected, resulting in a low success rate of quality inspection

In the link of customer signature action, the action detection model is generally used for recognition, but the recognition accuracy of the action detection model itself is not high. At the same time, when the account manager displays the signature content, sometimes the picture is blurred and the signature content cannot be recognized, resulting in the probability of failing the quality inspection. increase

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