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RISK IDENTIFICATION METHOD EMPLOYING FACIAL IMAGE, DEVICE, COMPUTER APPARATUS, AND STORAGE MEDIUM

机译:使用面部图像,设备,计算机设备和存储介质的风险识别方法

摘要

A risk identification method employing a facial image, a device, a computer apparatus, and a storage medium. The method comprises: acquiring video data of a client answering a pre-determined question (S10); performing, by using a pre-trained blocking identification model, image identification on the video data, an identification result comprising images of a face blocked by a hand and images of the face not blocked by a hand (S20); acquiring a face position blocked by a hand in each image of the face blocked by a hand, and acquiring a nervousness level identification result on the basis of face positions blocked by a hand corresponding to all of the images of the face blocked by a hand (S30); inputting the images of the face not blocked by a hand into a pre-trained security determination model, and acquiring a risk level identification result (S40); and determining a risk warning identification result according to the nervousness level identification result and the risk level identification result, and if the risk warning identification result is greater than a first pre-determined threshold, then determining the video data as risk warning data (S50). The invention resolves the issue of inaccurate identification caused by a hand blocking a face during a video data analysis processes.
机译:使用面部图像的风险识别方法,设备,计算机设备和存储介质。该方法包括:获取回答预定问题的客户的视频数据(S10);通过使用预训练的阻塞识别模型对视频数据进行图像识别,得到包括被手遮住的脸部图像和未被手遮住的脸部图像的识别结果(S20);在被手遮住的脸的每个图像中获取被手遮住的脸的位置,并基于与被手遮住的脸的所有图像相对应的被手遮住的脸的位置,获取神经水平识别结果( S30);将未被手遮挡的脸部图像输入到预先训练的安全性确定模型中,并获取风险等级识别结果(S40);根据神经质识别结果和风险识别结果确定风险识别结果,如果风险识别结果大于第一预定阈值,则将视频数据确定为风险警告数据(S50) 。本发明解决了在视频数据分析过程中由于手遮住面部而导致的识别不准确的问题。

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