An Attendance System Based on Gesture Recognition

A gesture and recognition module technology, applied in the field of attendance system based on gesture recognition, can solve problems such as complex deep learning operations

Active Publication Date: 2021-09-07
广州皓云原智信息科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0009] The inventive contribution of the present invention also lies in: the unique pooling method solves the problem of complex deep learning calculations, improves the operating efficiency of the system, and can simultaneously realize large-scale attendance attendance of employee clusters

Method used

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  • An Attendance System Based on Gesture Recognition
  • An Attendance System Based on Gesture Recognition
  • An Attendance System Based on Gesture Recognition

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0043] An attendance system based on gesture recognition, the attendance system includes:

[0044] A monitoring module, the monitoring module is composed of one or more cameras and is used to identify employees in the area to be monitored;

[0045] Gesture recognition module, described gesture recognition module is used for carrying out gesture recognition to employee group;

[0046] A determination module, the determination module is used to perform gesture recognition according to different gestures of individual employees, and determine the personal information of the corresponding employee on duty.

[0047] The personal information includes employee number, employee name, department, attendance time and so on.

Embodiment 2

[0049] On the basis of the attendance system described in embodiment 1, the attendance system also includes:

[0050] Face recognition module, the face recognition module is different from the conventional face recognition that needs to be close to the terminal, but based on face recognition under long-distance monitoring, which is suitable for centralized attendance attendance of large-scale employees without sequentially face recognition;

[0051] A movement tracking module, when the determination module cannot identify an employee with a certain posture, the movement tracking module will continue to track the employee for a first predetermined period of time, and continue to determine the posture by the determination module;

[0052] When the employee with a certain gesture still cannot be identified within the first predetermined period of time, start the face recognition module to recognize the face of the employee;

[0053] When the face recognition module cannot identi...

Embodiment 3

[0058] On the basis of the attendance system described in embodiment 2, the gesture recognition module is specifically:

[0059] The gesture recognition model is set up, and the gesture recognition model adopts a deep convolutional neural network structure, including an input layer, a bidirectional long-short-term memory network BiLSTM layer, a convolution layer, a pooling layer, a locally connected layer, and a fully connected layer. The convolution layer adopts a convolution kernel of 7*7 and 16 filters; the pooling window size of the pooling layer is 3*3, and the number of channels is 32; the local connection layer adopts 32 filters, 32 Channel, 3*3 convolution kernel; the input of the fully connected layer comes from the output of the local connection layer; the pooling method of the pooling layer is as follows:

[0060] x e =f(u e +φ(u e ))

[0061]

[0062] where x e Indicates the output of the current layer, u e Represents the input of the activation function, ...

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PUM

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Abstract

The invention relates to an attendance system based on gesture recognition, the attendance system includes: a monitoring module, the monitoring module is composed of one or more cameras, and is used to identify employees in the area to be monitored; a gesture recognition module, the gesture recognition The module is used to perform gesture recognition on the employee group; the determination module is used to perform gesture recognition according to different gestures of individual employees, and determine the personal information of the corresponding employee on duty. This application solves the problem of cheating existing in employee card attendance, fingerprint attendance, and facial recognition attendance during employee attendance checks, reduces queuing time, and improves attendance efficiency.

Description

technical field [0001] The attendance system of the present invention is the technical application of artificial intelligence in the attendance system, and in particular relates to a gesture recognition-based attendance system. Background technique [0002] With the development of information technology, the way of unit attendance is also constantly changing. At present, many enterprises and institutions use card swiping attendance or fingerprint identification to check attendance. Swiping card attendance is to use the employee's personal information card to identify personal identity. Fingerprint recognition is a technology that relies on the fingerprint characteristics of the human body for identity verification. It is a biometric technology to identify personal identity through the uniqueness of the inner surface of the human finger. . These two methods of attendance are prone to many problems. [0003] For card reader attendance, each employee must be equipped with a u...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06N3/04G06Q10/10
CPCG06Q10/1091G06V40/172G06N3/045
Inventor 袁为
Owner 广州皓云原智信息科技有限公司
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