FRAUD POSSIBILITY ANALYSIS METHOD, DEVICE, AND STORAGE MEDIUM

摘要

Provided in the present application are a fraud possibility analysis method, a device, and a computer readable storage medium. The method comprises the following steps: collecting sample videos and allocating fraud annotations; extracting an image feature and an audio feature of each sample video, and combining the features to obtain a video feature of each sample video; constructing a neural network according to sequence lengths of the sample videos and dimensions of the video features; training the neural network by using the video feature and the fraud annotation of each sample video, and optimizing training parameters, so as to obtain a fraud possibility analysis model; collecting a face video of a predetermined duration of an object to be analyzed; extracting the image feature and the audio feature of the video, and combining the features to obtain a video feature of the video; and inputting the video feature into the fraud possibility analysis model, outputting a fraud probability and a non-fraud probability of the object to be analyzed, and taking an output result of a greater probability value as an analysis result of whether the object to be analyzed is involved in fraud. According to the present application, whether a person is suspected of fraud can be objectively judged.