Non-cooperative examination personnel management method and system based on deep learning

Abstract

The invention discloses a non-cooperative examination personnel management method and system based on deep learning. Based on a deep learning technology, by means of a modern computer and network technology, the non-cooperative examination personnel management method takes face detection and identification as means, abandons a backward mode of manual inspection and registration in traditional examination personnel management, realizes non-cooperative face detection and identification in an examination room, so as to realize identity authentication of examination personnel. And meanwhile, the non-cooperative examination personnel management method builds an information management platform to realize analysis and management of examinee information and data. The non-cooperative examination personnel management system comprises a video image acquisition module, a processing module and a data analysis and management module, wherein the processing module comprises a face detection link and aface recognition link based on a deep convolutional neural network, receives images transmitted by the video image acquisition module, and transmits results to the data analysis and management modulefor subsequent application operation after a series of processing. According to the non-cooperative examination personnel management method and system, improvement and optimization of an existing examination personnel management mode are facilitated, and the non-cooperative examination personnel management method and system are simpler and more efficient.

Description

technical field [0001] The invention relates to the technical field of deep learning and the technical field of face detection and recognition, in particular to a method and system for managing non-cooperative test personnel based on deep learning. Background technique [0002] Face recognition is a biometric technology for identification based on human facial feature information. A series of related technologies that use a video camera or camera to collect images or video streams containing human faces, automatically detect and track human faces in the images, and then perform facial recognition on the detected faces, usually also called portrait recognition and facial recognition. . [0003] Face recognition technology has become an indispensable part of daily life, such as identity verification of security systems, public security criminal investigation, security verification, intelligent video surveillance, intelligent human-computer interaction and other aspects have a...

AI Technical Summary

Problems solved by technology

These methods are not only time-consuming, laborious and inefficient, but also often difficult to detect and prevent cheating in the exam

Images