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Depth camera based intelligent visitor flowrate detecting device and method

A technology of intelligent detection and depth camera, applied in the field of pattern recognition and computer vision, to reduce the difficulty of human head recognition, improve the accuracy of human head recognition, and improve the rate of human head recognition

Inactive Publication Date: 2017-06-23
QINGDAO UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In order to overcome the problems existing in the existing online reservation system, the present invention provides an intelligent detection method for the flow of people in the library self-study room based on the depth camera and combined with the computer vision algorithm

Method used

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  • Depth camera based intelligent visitor flowrate detecting device and method
  • Depth camera based intelligent visitor flowrate detecting device and method
  • Depth camera based intelligent visitor flowrate detecting device and method

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Embodiment Construction

[0051] The invention provides a human flow intelligent detection device, which includes a depth camera, a working host, a server, a database stored in the server, a human flow intelligent detection system stored in the working host, and a display platform.

[0052] The depth camera is installed at the entrance of the library self-study room, and shoots vertically downwards. The human flow intelligent detection system installed on the working host generates human flow data, and the human flow data is transmitted to the server database through the network, and each study room The data of the number of people present and the number of vacancies are fed back to the WeChat public account platform and the large screen of the library and other display platforms in real time for the convenience of readers.

[0053] Library managers can count and analyze the distribution of readers in various time periods based on the statistics of the flow of people, and provide a reference for the lib...

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Abstract

The invention provides a depth camera based intelligent visitor flowrate detecting method for study rooms of a library, and a machine vision algorithm is combined in the method. The method can be used to count used and vacant seats in each study room in real time accurately, statistical data is displayed on a large display screen or a WeChat official account of the library, so that the number of used seats and the number of vacant seats in each study room are clear. Students who would like to study in the library can know the conditions in real time conveniently, and time waste is avoided. The device and method can improve the service quality of the library, and improves the effective utilization rate of limited educational resources.

Description

technical field [0001] The invention belongs to the technical fields of computer vision and pattern recognition, and in particular relates to a depth camera-based intelligent detection device and detection method for human flow. Background technique [0002] With the rapid development of higher education in the country, the number of students in colleges and universities has increased sharply, which has caused the shortage of school hardware resources, and it is a difficult problem to provide students with self-study classrooms. However, most students flock to the library for self-study, queuing up to occupy seats, and it is hard to find a place, especially during the exam preparation stage. [0003] At present, the book collection and catalog resources of domestic libraries have been digitally managed, but only the seat resources in the self-study room are still in the stage of manual management. Some colleges and universities have also independently developed or purchased...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06T7/10G06K9/00G06M1/272G06Q50/20
CPCG06M1/272G06Q50/205G06T7/0002G06T2207/30242G06T2207/20081G06T2207/10016G06V40/10
Inventor 袁翠梅张维忠张艳花王靖杨金宝
Owner QINGDAO UNIV
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