Intelligent conference sign-in equipment based on face recognition and big data analysis

Abstract

For simplifying the conference sign-in process and utilizing data collected at the conference more effectively, the invention provides intelligent conference sign-in equipment based on face recognition and big data analysis. The equipment comprises personal information storage part, admission portrait collection part, a face recognition part, a display part, a picture storage part, a retrieval acquisition part and a data statistics part; a face collection picture and a data statistical picture are stored in a picture storage part; names of conference participants and the corresponding personalinformation are stored in a personal information storage part; the admission portrait collection part collects face images of the conference participants; the face recognition part recognizes the face images of the conference participants and the corresponding conference participant names; the retrieval acquisition part retrieves the personal information storage part according to the conference participant names so as to acquire the corresponding personal information; and the data statistical part is used for counting the information of the conference participants.

Description

technical field [0001] The invention relates to a conference sign-in device, in particular to an intelligent conference sign-in device based on face recognition and big data analysis. Background technique [0002] The on-site sign-in of the meeting is to count the participants and the relevant personnel actually present, so as to facilitate the management personnel to grasp the meeting site. [0003] For the existing conference on-site sign-in, in many cases, manual authentication, card authentication or mobile phone number authentication are used. Through these methods, the statistics and understanding of the participation status of the participants are realized. [0004] For these methods, the whole process requires on-site personnel to participate in the solution, which is slow, takes a long time in line, and consumes a lot of manpower; moreover, the value of the collected data cannot be reused without in-depth mining and analysis. Contents of the invention [0005] I...

AI Technical Summary

Problems solved by technology

[0004] For these methods, the whole process requires on-site personnel to participate in the solution, the speed is slow, the queuing time is long, and the manpower consumption is large; and the collected data cannot reuse its value without in-depth mining and analysis

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