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Method for realizing intelligent face attendance through BS frame based on Baidu face recognition API

A Baidu face and BS architecture technology, applied in the field of intelligent face recognition and attendance, can solve the problems of high price and troublesome maintenance, and achieve the effect of low development cost, easy maintenance, and good secondary development

Inactive Publication Date: 2018-07-24
ZHUHAI HENGQIN SHENGDA ZHAOYE TECH INVESTMENT CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Face recognition time attendance machines on the market are often expensive and troublesome to maintain

Method used

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  • Method for realizing intelligent face attendance through BS frame based on Baidu face recognition API

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0018] like figure 1 As shown, the present invention adopts the following steps to realize a method for realizing intelligent face attendance based on the BS framework of Baidu face recognition API.

[0019] Step 1. Define tags in the attendance html page;

[0020]

[0021]

[0022]

[0023]

[0024]

[0025] Step 2, call the video on the client side and perform automatic face picture information collection, and send the collected pictures to the server;

[0026] (1), get the dom element

[0027] Var video = document. getElementById("video"),

[0028] canvas1 = document. getElementById("canvas1"),

[0029] context1 = canvas1. getContext('2d'),

[0030] canvas2 = document. getElementById('canvas2'),

[0031] context2 = canvasInput. getContext('2d'),

[0032] audio1 = document. getElementById("audio1"),

[0033] audio2 = document. getElementById("audio2");

[0034] (2), call the video

[0035] if (navigator.mediaDevices && navigator.mediaDevices.getUserMe...

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PUM

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Abstract

The invention relates to the technical field of intelligent face recognition attendance, in particular to a method for realizing intelligent face attendance through a BS frame based on a Baidu face recognition API. The method comprises the following steps: 1, defining a tag in an attendance html page; 2, calling a video and automatically performing face picture information acquisition at a client,and sending the acquired picture to a server; 3, calling a Baidu API for face recognition by the server; 4, analyzing the information returned by the Baidu API by the server, and returning the detected information to the client; and 5, judging the information returned by the server through the client, and performing corresponding treatment on successful or failed attendance. Through the adoptionof the method, the problems of a fingerprint reader time attendance, such as insanitation and low recognition rate are solved, and an intelligent living body face attendance method which is convenientand quick and low in development cost is provided.

Description

technical field [0001] The present invention relates to intelligent face recognition attendance [technical field], in particular to a method for realizing intelligent face attendance based on a BS architecture based on Baidu face recognition API. Background technique [0002] The face recognition time attendance machine is a new type of storage time attendance machine. It only needs to collect the employee's face and create a file in advance. Attendance status and keep records. [0003] Face recognition technology is based on people's facial features, and the input face image or video stream. First judge whether there is a human face, if there is a human face, then further give the position, size and position information of each major facial organ of each face. Based on this information, the identity features contained in each face are further extracted, and compared with known faces, so as to identify the identity of each face. [0004] However, the main problems current...

Claims

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Application Information

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IPC IPC(8): G07C1/10G06K9/00
CPCG07C1/10G06V40/172
Inventor 冯捷雄张来卿庞严冬
Owner ZHUHAI HENGQIN SHENGDA ZHAOYE TECH INVESTMENT CO LTD
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