Human face identification work-attendance checking method and system based on network

Abstract

The invention relates to a human face identification work-attendance checking method and a system based on network. The method is technically characterized by comprising the following steps: each work-attendance checking point uses a computer which is connected with a camera and provided with an image acquisition card as a front-end acquisition device for checking work attendance; work-attendancedata is uploaded to a data server in a work-attendance management center through the network, and meanwhile, a comparison server of the work-attendance management center compares the uploaded data andstores the comparison result in the data server; and an administrator of each acquisition point accesses the data server through the network according to needs and downloads the work-attendance record report forms of employees. By combining the high-tech human face identification technology with the network-based management mode, the invention can simultaneously provide a plurality of companies with a work-attendance checking system with low operation cost and high accuracy and enable related personnel of the human resources management department in the company to efficiently check and recordthe regular work-attendance conditions of every employee.

Description

technical field [0001] The invention is an attendance checking system, which belongs to the field of biometric feature recognition and relates to graphics processing, image analysis, pattern recognition and face recognition technologies. technical background [0002] An important task of the human resource management department in an enterprise is to verify and record the attendance status of each employee during the regular working period. Traditionally, most enterprises use clocks or various written forms, such as attendance records, leave forms, Overtime application form, etc., to record and verify the attendance status of each employee, it is necessary to use manual methods to sort out these written materials and calculate the salary that each employee deserves, so it is quite time-consuming and laborious and inefficient. In addition, if necessary, query work Sometimes, it is also necessary to use manual search paper form files. In addition, some enterprises use more ad...

AI Technical Summary

Problems solved by technology

[0002] An important task of the human resource management department in an enterprise is to verify and record the attendance status of each employee during the regular working period. Traditionally, most enterprises use clocks or various written forms, such as attendance records, leave forms, Overtime application form, etc., to record and verify the attendance status of each employee, it is necessary to use manual methods to sort out these written materials and calculate the salary that each employee deserves, so it is quite time-consuming and laborious and inefficient. In addition, if necessary, query work , it is also necessary to manually search paper form files

In addition, some enterprises use more advanced fingerprint time attendance machines. This type of time attendance machine can use computer technology to calculate relevant reports, but this type of time attendance machine has the defect that attendance records can be modified. At the same time, the market price of this type of time attendance machine Higher, which increases the operating cost of the enterprise

[0003] On the other hand, the face recognition technology in the field of biometrics is becoming more and more mature, and the face recognition algorithm is basically deterministic, and has begun to be applied to various fields, such as national defense, public security, and border civilian use. Products are also slowly beginning to appear, such as face recognition access control and attendance systems, embedded face recognition access control and attendance machines, etc. have been proposed, but the operating costs of enterprises using this type of attendance system are relatively high

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