CN104899556A - System for counting persons in classroom based on image recognition - Google Patents
System for counting persons in classroom based on image recognition Download PDFInfo
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- CN104899556A CN104899556A CN201510246804.4A CN201510246804A CN104899556A CN 104899556 A CN104899556 A CN 104899556A CN 201510246804 A CN201510246804 A CN 201510246804A CN 104899556 A CN104899556 A CN 104899556A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
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Abstract
The invention discloses a system for counting persons in a classroom based on image recognition, and the system can inquire the number of persons in the classroom in real time. The system comprises a network camera, a server side, and a user terminal. The network camera is disposed in the classroom, and is used for collecting a classroom image, and uploading the collected classroom image to the server side through a network. The server side is used for the processing of the image uploaded by the network camera to obtain the number of persons in the classroom, and enabled the results to be stored in a background database for updating. The user terminal is connected with the server side through the Internet, and obtains the number, stored in the background database, of persons.
Description
Technical Field
The invention relates to the technical field of information, in particular to a classroom people counting system based on image recognition.
Background
With the development of times, graduates in colleges and universities grow rapidly, employment pressure is huge, so that the study competition pressure is increased rapidly at present, and the biggest problem caused by the fact is that the number of students who study the graduates is increased day by day. Students have difficulty learning themselves to become the problem to be solved urgently in all colleges and universities. Especially, at the end of the period, it is more difficult to find an ideal study room for study.
The teaching quality of colleges and universities is embodied in the learning condition of students and the resource utilization condition of the whole school. Teaching equipment is added and teaching conditions are improved every year in all colleges and universities, but students still feel that no place is available for self-study and cannot find a proper place for self-study, namely that the efficient teaching resource utilization rate is unreasonable.
The learning efficiency of students is generally low, which is greatly related to the learning environment of schools. The school can not well know the study distribution of students, so that the peripheral environment of the school can not be improved according to the study distribution of the students, and the study efficiency of the students is improved.
For students to learn the problem, schools have taken some improvement measures, such as: the large screen of the teaching building lists the classroom number of the classroom which is not in the class in each time period of the day of the teaching building for the reference of students; the educational administration system provides a function of inquiring free classrooms. Students can only see classrooms without classes through the seats, but cannot know the number of people who want to go to the classrooms for self-study, and the time for finding a satisfactory seat is long.
Some self-learning software is also emerging in the market, and the block of idle classroom query released by the self-learning software can only acquire the number of classrooms without class in a certain time period, and the number of the classrooms cannot be queried in real time.
Disclosure of Invention
The invention aims to provide a classroom people counting system based on image recognition, which can inquire the number of people in a classroom in real time.
To this end, the invention provides a classroom people counting system based on image recognition, which comprises:
the system comprises a network camera, a server side and a user terminal; wherein,
the network camera is arranged in a classroom and used for collecting classroom images and uploading the collected classroom images to the server end through a network,
the server end is used for processing the images uploaded by the network cameras to obtain the number of the classroom people and updating the results into a background database,
the user terminal is connected with the server through the Internet to obtain the number of the classroom people stored in the background database.
The system for counting the number of the classroom people based on image recognition, disclosed by the embodiment of the invention, is characterized in that a network camera arranged in a classroom is used for collecting classroom images and uploading the classroom images to a server end through a network, the server end processes the images to count the number of the classroom people, the result is continuously updated to a background database, a user is connected with the server end through mobile equipment such as a mobile phone and the like, corresponding query is carried out according to the requirement of the user, the number information of the classroom stored in the database is obtained, and therefore the real-time query of the number of the classroom can be realized.
Drawings
FIG. 1 is a block diagram of an embodiment of a system for counting classroom people based on image recognition according to the present invention;
FIG. 2 is a schematic diagram of another embodiment of a system for counting classroom people based on image recognition according to the present invention;
FIG. 3 is a flow chart of another embodiment of the classroom people counting system based on image recognition according to the present invention;
fig. 4 is a flow chart of user usage of another embodiment of the image recognition based classroom people counting system of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some embodiments, but not all embodiments, of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As shown in fig. 1, the present embodiment discloses a classroom people counting system based on image recognition, which includes:
the system comprises a network camera 1, a server end 2 and a user terminal 3; wherein,
the network camera 1 (capable of collecting classroom images in real time) is installed in a classroom and used for collecting classroom images and uploading the collected classroom images to the server 2 through a network,
the server 2 is used for processing the images uploaded by the network camera 1 to obtain the number of the classroom people and updating the results into a background database (which can be a MySQL database),
the user terminal 3 is connected with the server terminal 2 through the internet to obtain the number of the classroom people stored in the background database.
The system for counting the number of the classroom people based on image recognition, disclosed by the embodiment of the invention, is characterized in that a network camera arranged in a classroom is used for collecting classroom images and uploading the classroom images to a server end through a network, the server end processes the images to count the number of the classroom people, the result is continuously updated to a background database, a user is connected with the server end through mobile equipment such as a mobile phone and the like, corresponding query is carried out according to the requirement of the user, the number information of the classroom stored in the database is obtained, and therefore the real-time query of the number of the classroom can be realized.
Optionally, in another embodiment of the image recognition-based classroom people counting system according to the present invention, the server obtains a classifier for human image recognition through machine learning, recognizes people in the image uploaded by the webcam according to the classifier by using a human image recognition algorithm, and obtains the number of classroom people according to the recognition result.
Alternatively, in another embodiment of the image recognition based classroom people counting system of the present invention, the machine learning is a machine learning method based on histogram of oriented gradients features, cascade detectors, and AdaBoost algorithm.
Optionally, in another embodiment of the image recognition-based classroom people counting system according to the present invention, the server is further configured to process the recognized image to obtain coordinates of the person recognized by the person recognition algorithm in the image, and create a classroom people distribution map according to the coordinates.
Optionally, in another embodiment of the image recognition-based classroom people counting system according to the present invention, the user terminal is further connected to the server via the internet to obtain the classroom people distribution map stored in the background database.
Optionally, in another embodiment of the image recognition-based classroom people counting system of the present invention, the server is further configured to generate a corresponding classroom free seat distribution map according to the classroom people distribution map,
the user terminal is further connected with the server through the internet to obtain the classroom vacant seat distribution map stored in the background database.
Optionally, in another embodiment of the image recognition based classroom people counting system of the present invention, the face recognition algorithm comprises: upper body recognition algorithm.
Optionally, in another embodiment of the image recognition-based classroom people counting system according to the present invention, the user terminal obtains the number of the classroom stored in the background database by connecting with a wechat public platform of the system.
The flow chart of the whole system is shown in fig. 3. The administrator can log in the management interface of the WeChat public platform by inputting the login name and the password to carry out maintenance and management work of the WeChat public platform, and the administrator can carry out information input and modification on the database at the server end to complete the work of the acquired management. The user logs in the WeChat public platform of the system, checks classroom information and inquiry of corresponding classroom information according to own requirements, and substantially inquires information of a database to acquire the classroom information which the user wants to obtain.
Alternatively, in another embodiment of the image recognition-based classroom people counting system of the present invention, the server is further configured to calculate a corresponding attendance rate according to the number of classroom people,
the user terminal is connected with the server through the Internet to obtain the classroom attendance rate stored in the background database.
Optionally, in another embodiment of the image recognition-based classroom people counting system of the present invention, the server is further configured to rank the vacant seats of all classrooms according to the attendance rates and/or rank the vacant seats of all classrooms of the same teaching building according to the attendance rates and/or rank the vacant seats of all classrooms of the same floor of the same teaching building according to the attendance rates,
the user terminal is connected with the server terminal through the internet, and the unoccupied seat rate ranking of all classrooms stored in the background database and/or the unoccupied seat rate ranking of all classrooms in the same teaching building and/or the unoccupied seat rate ranking of all classrooms in the same floor in the same teaching building are obtained.
The user logs in the WeChat account of the user, pays attention to the public account of the system, enters the self-study module, enters the main interface of the system according to prompt and user requirements, can see the most empty classroom ranking of all teaching buildings, clicks to enter the corresponding teaching building, can see the most empty classroom ranking of each teaching building, clicks to the corresponding floor, can see the most empty classroom ranking of each floor, and can inquire the number of people, the sitting rate and the personnel distribution map of a single classroom according to the classroom number. Through the system, a user can inquire the information of a single classroom according to the number of the classrooms, can check the ranking of the top 20 classrooms with the least number of people in each teaching building, and can check the ranking condition of each layer of the classroom of a certain teaching building according to the number of people.
The invention has the following advantages:
the system can count the number of the students in the classroom in real time and help the school to know the self-study condition of the students.
1. The system can directly acquire classroom images by using the monitoring equipment of the school in the aspect of acquiring the images, thereby saving the cost in the aspect of acquiring the classroom images.
2. The real-time number of the classroom can be obtained by applying the upper body recognition algorithm in the processing system of the server, and the classroom pictures of the marked people are processed to obtain the coordinate information of the people, so that an visualized classroom personnel distribution map is obtained.
3. The system for realizing real-time inquiry of the number of the classroom people and the distribution of the staff on the WeChat public desk is easy to popularize among students.
Although the embodiments of the present invention have been described in conjunction with the accompanying drawings, those skilled in the art may make various modifications and variations without departing from the spirit and scope of the invention, and such modifications and variations fall within the scope defined by the appended claims.
Claims (10)
1. A classroom people counting system based on image recognition is characterized by comprising:
the system comprises a network camera, a server side and a user terminal; wherein,
the network camera is arranged in a classroom and used for collecting classroom images and uploading the collected classroom images to the server end through a network,
the server end is used for processing the images uploaded by the network cameras to obtain the number of the classroom people and updating the results into a background database,
the user terminal is connected with the server through the Internet to obtain the number of the classroom people stored in the background database.
2. The image recognition-based classroom people counting system as claimed in claim 1, wherein the server obtains a classifier for human face recognition through machine learning, recognizes people in the image uploaded by the webcam through a human face recognition algorithm according to the classifier, and obtains classroom people according to the recognition result.
3. The image recognition-based classroom people counting system as described in claim 2, wherein said machine learning is a machine learning method based on histogram of oriented gradient features, cascade detectors, and AdaBoost algorithm.
4. The image recognition-based classroom people counting system as claimed in claim 2 or 3, wherein the server is further configured to process the recognized image to obtain coordinates of the person recognized by the person recognition algorithm in the image, and create a classroom people distribution map according to the coordinates.
5. The image recognition-based classroom people counting system as claimed in claim 4, wherein said user terminal is further connected to said server via the internet to obtain classroom people profiles stored in said background database.
6. The image recognition-based classroom people counting system as claimed in claim 4, wherein said server is further configured to generate a corresponding classroom free seat distribution map according to said classroom people distribution map,
the user terminal is further connected with the server through the internet to obtain the classroom vacant seat distribution map stored in the background database.
7. The image recognition based classroom people counting system as claimed in claim 2 or 3, wherein said face recognition algorithm comprises: upper body recognition algorithm.
8. The image recognition-based classroom people counting system as claimed in claim 1, wherein the user terminal is connected to the WeChat public platform of the system to obtain the number of the classroom stored in the background database.
9. The image recognition-based classroom people counting system as claimed in claim 1, wherein said server is further configured to calculate a corresponding attendance rate according to the number of classroom people,
the user terminal is connected with the server through the Internet to obtain the classroom attendance rate stored in the background database.
10. The image recognition-based classroom people counting system as claimed in claim 9, wherein said server is further configured to rank the occupancy rates of all classrooms according to the occupancy rates and/or rank the occupancy rates of all classrooms in the same classroom building according to the occupancy rates and/or rank the occupancy rates of all classrooms on the same floor in the same classroom building according to the occupancy rates,
the user terminal is connected with the server terminal through the internet, and the unoccupied seat rate ranking of all classrooms stored in the background database and/or the unoccupied seat rate ranking of all classrooms in the same teaching building and/or the unoccupied seat rate ranking of all classrooms in the same floor in the same teaching building are obtained.
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| CN201510246804.4A CN104899556A (en) | 2015-05-14 | 2015-05-14 | System for counting persons in classroom based on image recognition |
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Cited By (13)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN105931215A (en) * | 2016-04-01 | 2016-09-07 | 乐视控股（北京）有限公司 | Data statistical method and device based on mobile terminal image identification |
| CN106886593A (en) * | 2017-02-21 | 2017-06-23 | 百度在线网络技术（北京）有限公司 | Information processing method, device and server |
| CN107480633A (en) * | 2017-08-11 | 2017-12-15 | 安徽辉墨教学仪器有限公司 | A kind of University Classroom's occupancy situation real-time analysis method |
| CN107480632A (en) * | 2017-08-11 | 2017-12-15 | 安徽辉墨教学仪器有限公司 | Personnel statistical method in a kind of classroom based on video |
| CN107515910A (en) * | 2017-08-14 | 2017-12-26 | 安徽辉墨教学仪器有限公司 | A kind of self-study classroom real time inquiry system |
| CN108109220A (en) * | 2017-12-29 | 2018-06-01 | 贵州理工学院 | A kind of classroom work attendance statistics system based on monitoring camera |
| CN108694565A (en) * | 2018-06-29 | 2018-10-23 | 重庆工业职业技术学院 | It attends class system for prompting and based reminding method of attending class |
| CN108875650A (en) * | 2018-06-22 | 2018-11-23 | 张小勇 | A kind of demographic method and system |
| CN112149768A (en) * | 2020-09-17 | 2020-12-29 | 北京计算机技术及应用研究所 | Method for counting number of cinema audiences by combining video monitoring and radio frequency identification |
| CN112686128A (en) * | 2020-12-28 | 2021-04-20 | 南京览众智能科技有限公司 | Classroom desk detection method based on machine learning |
| CN113268024A (en) * | 2021-05-14 | 2021-08-17 | 广东工业大学 | Intelligent classroom supervision system and method |
| CN116226821A (en) * | 2023-05-04 | 2023-06-06 | 成都致学教育科技有限公司 | Teaching data center management system |
| CN118211951A (en) * | 2024-05-21 | 2024-06-18 | 中国人寿保险股份有限公司江苏省分公司 | Image recognition-based insurance agency ginseng meeting condition quality inspection method |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105931215A (en) * | 2016-04-01 | 2016-09-07 | 乐视控股（北京）有限公司 | Data statistical method and device based on mobile terminal image identification |
| CN106886593A (en) * | 2017-02-21 | 2017-06-23 | 百度在线网络技术（北京）有限公司 | Information processing method, device and server |
| CN107480633A (en) * | 2017-08-11 | 2017-12-15 | 安徽辉墨教学仪器有限公司 | A kind of University Classroom's occupancy situation real-time analysis method |
| CN107480632A (en) * | 2017-08-11 | 2017-12-15 | 安徽辉墨教学仪器有限公司 | Personnel statistical method in a kind of classroom based on video |
| CN107515910A (en) * | 2017-08-14 | 2017-12-26 | 安徽辉墨教学仪器有限公司 | A kind of self-study classroom real time inquiry system |
| CN108109220A (en) * | 2017-12-29 | 2018-06-01 | 贵州理工学院 | A kind of classroom work attendance statistics system based on monitoring camera |
| CN108875650A (en) * | 2018-06-22 | 2018-11-23 | 张小勇 | A kind of demographic method and system |
| CN108694565A (en) * | 2018-06-29 | 2018-10-23 | 重庆工业职业技术学院 | It attends class system for prompting and based reminding method of attending class |
| CN112149768A (en) * | 2020-09-17 | 2020-12-29 | 北京计算机技术及应用研究所 | Method for counting number of cinema audiences by combining video monitoring and radio frequency identification |
| CN112149768B (en) * | 2020-09-17 | 2024-05-14 | 北京计算机技术及应用研究所 | Method for counting cinema audience number by integrating video monitoring and radio frequency identification |
| CN112686128A (en) * | 2020-12-28 | 2021-04-20 | 南京览众智能科技有限公司 | Classroom desk detection method based on machine learning |
| CN113268024A (en) * | 2021-05-14 | 2021-08-17 | 广东工业大学 | Intelligent classroom supervision system and method |
| CN113268024B (en) * | 2021-05-14 | 2023-10-13 | 广东工业大学 | Intelligent classroom supervision system and method |
| CN116226821A (en) * | 2023-05-04 | 2023-06-06 | 成都致学教育科技有限公司 | Teaching data center management system |
| CN116226821B (en) * | 2023-05-04 | 2023-07-18 | 成都致学教育科技有限公司 | Teaching data center management system |
| CN118211951A (en) * | 2024-05-21 | 2024-06-18 | 中国人寿保险股份有限公司江苏省分公司 | Image recognition-based insurance agency ginseng meeting condition quality inspection method |
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Application publication date: 20150909 |