CN110110958A - A kind of analysis of the students method, electronic equipment and storage medium - Google Patents
A kind of analysis of the students method, electronic equipment and storage medium Download PDFInfo
- Publication number
- CN110110958A CN110110958A CN201910203563.3A CN201910203563A CN110110958A CN 110110958 A CN110110958 A CN 110110958A CN 201910203563 A CN201910203563 A CN 201910203563A CN 110110958 A CN110110958 A CN 110110958A
- Authority
- CN
- China
- Prior art keywords
- student
- classroom
- facial image
- situation
- image
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 35
- 238000004458 analytical method Methods 0.000 title claims abstract description 27
- 230000001815 facial effect Effects 0.000 claims abstract description 124
- 235000005911 diet Nutrition 0.000 claims abstract description 40
- 230000037213 diet Effects 0.000 claims abstract description 38
- 238000010191 image analysis Methods 0.000 claims description 27
- 230000008921 facial expression Effects 0.000 claims description 13
- 235000012054 meals Nutrition 0.000 claims description 6
- 238000004590 computer program Methods 0.000 claims description 5
- 230000006399 behavior Effects 0.000 description 4
- 238000010586 diagram Methods 0.000 description 4
- 238000013473 artificial intelligence Methods 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 3
- 230000000378 dietary effect Effects 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 206010057315 Daydreaming Diseases 0.000 description 1
- 230000002159 abnormal effect Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 230000005611 electricity Effects 0.000 description 1
- 238000000605 extraction Methods 0.000 description 1
- 230000035764 nutrition Effects 0.000 description 1
- 235000016709 nutrition Nutrition 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/20—Education
- G06Q50/205—Education administration or guidance
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
-
- 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
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/161—Detection; Localisation; Normalisation
- G06V40/166—Detection; Localisation; Normalisation using acquisition arrangements
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
- G16H20/60—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to nutrition control, e.g. diets
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/30—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment
Landscapes
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Health & Medical Sciences (AREA)
- Human Resources & Organizations (AREA)
- General Physics & Mathematics (AREA)
- Physics & Mathematics (AREA)
- General Health & Medical Sciences (AREA)
- Theoretical Computer Science (AREA)
- Educational Administration (AREA)
- Strategic Management (AREA)
- Medical Informatics (AREA)
- Public Health (AREA)
- Tourism & Hospitality (AREA)
- Primary Health Care (AREA)
- Economics (AREA)
- Epidemiology (AREA)
- Development Economics (AREA)
- Multimedia (AREA)
- Marketing (AREA)
- Entrepreneurship & Innovation (AREA)
- General Business, Economics & Management (AREA)
- Educational Technology (AREA)
- Biomedical Technology (AREA)
- Nutrition Science (AREA)
- Data Mining & Analysis (AREA)
- Databases & Information Systems (AREA)
- Game Theory and Decision Science (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Pathology (AREA)
- Oral & Maxillofacial Surgery (AREA)
- Human Computer Interaction (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- Electrically Operated Instructional Devices (AREA)
Abstract
The invention discloses a kind of analysis of the students methods, comprising: acquisition is installed on classroom human body image captured by the picture pick-up device in classroom, is installed on Librarians face image captured by the picture pick-up device in library, is installed on the discrepancy of dormitory captured by the picture pick-up device of dormitory situation facial image, is installed on diet facial image captured by the picture pick-up device in dining room;It analyzes the class attendance situation of student, classroom concentration situation, the positive implementations in classroom, learn situation, the daily schedule of student and diet situation after class;According to school grade, class attendance situation, classroom concentration situation, the positive implementations in classroom, study situation, daily schedule and diet situation analyze the studying and living situation of student after class.Invention additionally discloses a kind of electronic equipment and storage medium, analysis of the students method, electronic equipment and storage medium provided by the invention can reflect student in school state, to find the problem in time, timely correction comprehensively.
Description
Technical field
The present invention relates to artificial intelligence field more particularly to a kind of analysis of the students methods.
Background technique
In current education of middle and primary schools, what parent most paid attention to is exactly the learning situation at school of student, and campus teacher provides
Source is limited, can not really reflect that the learning situation at school of student, total marks of the examination and teacher's feedback have larger in the feedback of problem
Hysteresis quality.Existing school, which leads to software, can only largely pass through total marks of the examination, the essential informations intercommunication such as lessons, school and parent
Student classroom is difficult to listen to the teacher the intercommunications of the information such as state.
As artificial intelligence technology obtains rapid development, artificial intelligence technology is more and more answered in education sector
With, but there is the problems such as having a single function, application scenarios are simple in the face recognition products of existing education sector, it cannot be comprehensively anti-
Reflect each student in school state.
Summary of the invention
In order to overcome the face recognition products of existing education sector to have a single function, cannot reflect comprehensively student in school state
The problem of, the purpose of the present invention is to provide a kind of analysis of the students method, electronic equipment and storage mediums.
To achieve the goals above, the present invention provides a kind of analysis of the students method, comprising:
Obtain the picture pick-up device institute for being installed on classroom human body image captured by the picture pick-up device in classroom, being installed on library
The Librarians face image of shooting is installed on the discrepancy of dormitory captured by the picture pick-up device of dormitory situation facial image, is installed on
Diet facial image captured by the picture pick-up device in dining room;
According to the class attendance situation of default classroom image information data library and classroom human body image analysis student, class
Hall concentration situation and the positive implementations in classroom;
According to the study feelings after class in default library's image information data library and Librarians face image analysis student
Condition;
When entering and leaving the work and rest of situation facial image analysis student according to default dormitory image information data library and the dormitory
Between;
According to the diet situation of default dining room information database and diet facial image analysis student;
Obtain the school grade of student;
According to the school grade, the class attendance situation, the classroom concentration situation, the positive disposition in the classroom
Condition, the studying and living situation for learning situation, the daily schedule and the diet situation after class and analyzing student.
Preferably, the default classroom image information data library includes the facial image feature of student and corresponding of should turning out for work
Identity information, according to the class attendance situation packet in default classroom image information data library and classroom human body image analysis student
It includes:
Extract the facial image feature of the classroom human body image;
Judge whether there is the people of the classroom human body image identical with the facial image feature of student that should turn out for work
Face image feature;
The facial image of the classroom human body image identical with the facial image feature of student that should turn out for work if it exists
Feature, then by the corresponding identity information of facial image feature of the student that should turn out for work labeled as state of turning out for work;
The face figure of the classroom human body image identical with the facial image feature of student that should turn out for work if it does not exist
As feature, then by the corresponding identity information of facial image feature of the student that should turn out for work labeled as state of not turning out for work.
Preferably, the classroom human body image further includes every the collected facial image of preset time, according to default class
Hall image information data library and the classroom human body image analysis student classroom concentration situation include:
According to the face's deviation angle and offset frequency for identifying each student every the collected facial image of preset time
Rate;
If the deviation angle is in the first preset range or the deviation frequency is in the second preset range, sentence
Fixed corresponding student classroom attention is concentrated.
Preferably, the classroom human body image further includes arm posture, according to default classroom image information data library and institute
State classroom human body image analysis student the positive implementations in classroom include:
Facial expression is identified every the collected facial image of preset time according to described;
Judge whether it is to raise one's hand to operate according to the arm posture detected;
Judge whether it is to stand according to the position of the facial image;
The positive disposition in classroom of student is counted according to the facial expression, the number of the operation of raising one's hand and standing number
Condition.
Preferably, default library's image information data library includes the facial image for registering student and corresponding identity
Information, according to the situation packet of study after class in default library's image information data library and Librarians face image analysis student
It includes:
The Librarians face image and the facial image of the registration student are compared, each registration is calculated and learns
It bears the time into library and enters and leaves the frequency in library.
Preferably, the default dormitory image information data library includes the facial image and corresponding identity mark for moving in student
Know, is wrapped according to the daily schedule that default dormitory image information data library and the dormitory enter and leave situation facial image analysis student
It includes:
The dormitory is entered and left situation facial image to compare with the facial image for moving in student, is identified each
Move in the time that student passes in and out dormitory;
Go out the daily schedule of student according to the time analysis for each moving in student's disengaging dormitory.
Preferably, the method also includes:
If the daily schedule of the student is more than setting value, send a warning.
Preferably, the default dining room information database includes the facial image and corresponding identity information for registering student,
The diet facial image corresponds to the condition of consumption, according to default dining room information database and the diet facial image
Analysis student diet situation include:
The diet facial image and the facial image of the registration student are compared, identify each registration
The condition of consumption of the every meal of student;
The diet situation of student is analyzed according to the consumption.
The present invention also provides a kind of electronic equipment, comprising: including processor and memory, meter is stored in the memory
Calculation machine readable program, the computer-readable program are configured to be executed by processor, and the computer-readable program is processed
Device realizes above-mentioned method when executing.
The present invention also provides a kind of computer readable storage mediums, are stored thereon with computer program, the computer journey
Above-mentioned method is realized when sequence is executed by processor.
Compared with prior art, the beneficial effects of the present invention are: by being installed on people captured by the picture pick-up device in classroom
Class attendance situation, the positive implementations of classroom concentration situation and classroom of body image analysis student, by being installed on library
Picture pick-up device captured by Librarians face image analysis student study situation after class, the camera shooting by being installed on dormitory sets
Standby captured dormitory enters and leaves the daily schedule of situation facial image analysis student, and the picture pick-up device by being installed on dining room is clapped
The diet situation of the diet facial image analysis student taken the photograph, comprehensive indices and school grade, analyze student
Habit and weather, so as to reflect student in school state, to find the problem in time, timely correction comprehensively.
Detailed description of the invention
Fig. 1 is the application scenario diagram of analysis of the students method provided in an embodiment of the present invention;
Fig. 2 is the analysis of the students method flow diagram that one embodiment of the invention provides;
Fig. 3 is the flow chart for the step S102 that one embodiment of the invention provides;
Fig. 4 be another embodiment of the present invention provides step S102 flow chart;
Fig. 5 is the flow chart for the step S102 that further embodiment of this invention provides;
Fig. 6 is the schematic diagram of electronic equipment provided in an embodiment of the present invention.
Specific embodiment
In the following, being described further in conjunction with attached drawing and specific embodiment to the present invention, it should be noted that not
Under the premise of conflicting, new implementation can be formed between various embodiments described below or between each technical characteristic in any combination
Example.
As shown in Figure 1, the application scenario diagram of analysis of the students method provided in an embodiment of the present invention, this method is applied to learn feelings
In analysis system, which includes the picture pick-up device 1 for being installed on classroom, the picture pick-up device 2 for being installed on library, is installed on dormitory
Picture pick-up device 3, the picture pick-up device 4, server 5 and the client 6 that are installed on dining room.Server 5 executes the embodiment of the present invention
Analysis of the students method, so as to reflect that student in school learning state, has found student's problem in time comprehensively.
As shown in Fig. 2, the analysis of the students method that one embodiment of the invention provides, comprising:
Step S101: acquisition is installed on classroom human body image captured by the picture pick-up device in classroom, is installed on library
Librarians face image captured by picture pick-up device is installed on the discrepancy situation face figure of dormitory captured by the picture pick-up device of dormitory
Picture is installed on diet facial image captured by the picture pick-up device in dining room.
Wherein, the picture pick-up device for being installed on classroom is used to acquire the classroom human body image of school session, tentatively identifies figure
Face, the number of people and human body behavior as in.The picture pick-up device for being installed on library includes the face clearance equipment and electricity in library
The logging device in sub- reading room.The facial image of the student in the face clearance equipment shooting disengaging library in library, passes through people
The student in disengaging library is managed in face identification, and records the time that each student passes in and out library.Student passes through electronics
The recognition of face of the logging device in reading room logs in Digital Reading Room and carries out on-line study, the logging device record of Digital Reading Room
The login of each student and the time exited.The picture pick-up device for being installed on dormitory includes face Dormitory management system, face dormitory pipe
The facial image for managing system photographs disengaging dormitory records the time that student passes in and out dormitory by recognition of face.It is installed on dining room
Picture pick-up device includes brush face consumption system, and brush face consumption system shoots the facial image for the student that has dinner, and student is consumed by brush face
The recognition of face of system is ordered and is consumed, and brush face consumption system records the diet situation and consumption of the every meal of student.
Step S102: gone out according to the classroom in default classroom image information data library and classroom human body image analysis student
Diligent situation, the positive implementations of classroom concentration situation and classroom.
Wherein, the facial image and corresponding identity information of the student that should turn out for work are stored in classroom image information data library, and
Store characteristics of image corresponding to human face expression, human body behavior.
In one embodiment, classroom human body image includes number of people image, by the quantity of the number of people image detected,
It is compared with the student's quantity that should be turned out for work, judges whether there is student absent from duty.
In another embodiment, the facial image that will test and the facial image for the student that should turn out for work compare,
If detecting the facial image for the student that should turn out for work, the student attendance is judged, if the facial image for the student that should turn out for work is not detected,
Then judge student absence from duty.
In one embodiment, image information data library in classroom further includes being absorbed in the corresponding facial expression image spy of study
Sign is not absorbed in the corresponding facial expression image feature of study and human body behavior characteristics of image, the facial image and class that will test
Facial expression image feature in hall image information data library compares, and is judged on student according to the expression of the facial image detected
Whether class is absorbed in.The human body image that will test simultaneously is compared with classroom image information data library, judges human body image
The behavior of corresponding student determines whether student actively answers a question for example, raising one's hand, standing.
Step S103: according to the class in default library's image information data library and Librarians face image analysis student
After learn situation.
Wherein, presetting library's image information data library includes the facial image and corresponding identity information for registering student,
The Librarians face image that will test and the facial image of registration student compare, and statistic passes in and out the time in library
And frequency, analyze the study situation after class of student.
Step S104: situation facial image is entered and left according to default dormitory image information data library and the dormitory and analyzes student
Daily schedule.
Wherein, presetting dormitory image information data library includes the facial image and corresponding identity information for moving in student, will
The dormitory that detects enters and leaves situation facial image and compares with the facial image for moving in student, statistic disengaging dormitory when
Between, judge whether student stays overnight, escape place, situations such as evening returns.
Step S105: according to the diet feelings of default dining room information database and diet facial image analysis student
Condition.
Wherein, presetting dining room information database includes the facial image and corresponding identity information for registering student, be will test
To facial image and register student facial image compare, count the spending amount and dietetic variety of the every meal of student.
Step S106: the school grade of student is obtained.
Step S107: according to the school grade, the class attendance situation, the classroom concentration situation, the class
The positive implementations of hall, the study and life for learning situation, the daily schedule and the diet situation after class and analyzing student
Situation living.
Specifically, server is by school grade, class attendance situation, classroom concentration situation, the positive implementations in classroom, class
Learn situation, daily schedule and diet situation afterwards and carry out collect statistics, to analyze the studying and living situation of student, sends
To client.
In above-described embodiment, the classroom that student is analyzed by being installed on human body image captured by the picture pick-up device in classroom goes out
Diligent situation, the positive implementations of classroom concentration situation and classroom, by being installed on books captured by the picture pick-up device in library
Shop facial image analyzes the study situation after class of student, enters and leaves situation by being installed on dormitory captured by the picture pick-up device of dormitory
Facial image analyzes the daily schedule of student, by being installed on diet facial image captured by the picture pick-up device in dining room point
The diet situation for analysing student, the studying and living situation of student is gone out according to above-mentioned each index collect statistics, when These parameters occur
When abnormal, it can prevent in time.Meanwhile the school grade of comprehensive student is traced from indices for the student to get poor results
Question classification quickly provides and corrects guidance.
As shown in figure 3, in one embodiment, step S102 includes:
Step S201: the facial image feature of the classroom human body image is extracted.
In one embodiment, the picture pick-up device for being installed on classroom successively shoots facial image and is sent to server,
The characteristics of image of server extraction facial image.
Step S202: the classroom human body identical with the facial image feature of student that should turn out for work is judged whether there is
The facial image feature of image.
In one embodiment, it is special that the facial image detected is searched from the facial image feature that should turn out for work student
Sign, judges whether there is facial image feature identical with the facial image feature detected.
Step S203: identical with the facial image feature of student that should the turn out for work classroom human body image if it exists
Facial image feature, then by the corresponding identity information of facial image feature of the student that should turn out for work labeled as state of turning out for work.
Step S204: the classroom human body image identical with the facial image feature of student that should turn out for work if it does not exist
Facial image feature, then by the corresponding identity information of facial image feature of the student that should turn out for work labeled as not turning out for work shape
State.
In above-described embodiment, by extracting the characteristics of image of the facial image detected, it can quickly recognize out and study diligently
Raw pupilage helps teacher to grasp attendance.
As shown in figure 4, in another embodiment, step S102 includes:
Step S301: according to the face's deviation angle for identifying each student every the collected facial image of preset time
And deviation frequency.
For example, the picture pick-up device for being installed on classroom per minute detects the face of all students, server is to every phase
The deviation angle for the face that neighbour detects twice is calculated, and the face's deviation angle and deviation frequency of each student are analyzed.
Step S302: if the deviation angle is in the first preset range or the deviation frequency is in the second default model
In enclosing, then determine that corresponding student classroom attention is concentrated.
For example, if detecting some facial image, deviation frequency is excessive whithin a period of time, determines corresponding students in class
Hall is absent minded.If certain time can't detect some facial image, it is only capable of detecting number of people image, then determines corresponding
Student may sleep.
In above-described embodiment, infused by the classroom that the deviation angle and deviation frequency of the facial image detected analyze student
Meaning power situation, with the classroom learning state of students '.
As shown in figure 5, in another embodiment, step S102 includes:
Step S401: facial expression is identified every the collected facial image of preset time according to described.
Wherein, it presets in classroom image information data library and stores expression corresponding to a large amount of facial image feature, for example,
It is absorbed in, feel uncertain, reserve, diverts one's attention.The face that will be stored in collected facial image and default classroom image information data library
Characteristics of image compares, and identifies the facial expression of collected facial image.
Step S402: judge whether it is to raise one's hand to operate according to the arm posture detected.
In one embodiment, the characteristics of image for the arm posture that will test and default classroom image information data library
The characteristics of image of middle storage raised one's hand compares, and judges whether the arm posture detected raises one's hand.
Step S403: judge whether it is to stand according to the position of the facial image.
In one embodiment, it is deposited in the position for the facial image that will test and default classroom image information data library
The position of facial image when the standing of storage compares, and judges facial image when whether the facial image detected is located at standing
Position, if so, the corresponding student of the facial image that detects of judgement stands.
Step S404: the class of student is counted according to the facial expression, the number of the operation of raising one's hand and standing number
The positive implementations of hall.
In one embodiment, the time of each student's facial expression, the number of the number raised one's hand and standing are counted, from
And may determine that student in classroom whether active learning.For example, raising one's hand and standing if some student has no precedent, illustrate
The student classroom is not positive.
In above-described embodiment, by the facial expression of the facial image and human body image statistic classroom that detect, lift
The number and standing number of hand operation, thus the positive implementations in the classroom for analyzing student.
In one embodiment, presetting library's image information data library includes the facial image and corresponding body for registering student
Part information, step S103 include: to compare the facial image of Librarians face image and registration student, calculate each note
Volume student enters and leaves the time in library and enters and leaves the frequency in library, to analyze the study situation after students in class.
In one embodiment, presetting dormitory image information data library includes the facial image for moving in student and corresponding identity
Mark, step S104 include: that dormitory is entered and left situation facial image to compare with the facial image for moving in student, are identified every
A time moved in student and pass in and out dormitory goes out the daily schedule of student according to each time analysis for moving in student's disengaging dormitory,
Student is worked and rested into information as a part of analysis of the students, more fully the life study situation of student is analyzed.Meanwhile
If the daily schedule of student is more than setting value, send a warning, for example, being convenient for teacher if continuous evening returns, escapes situations such as place
The management stayed to student.
In one embodiment, presetting dining room information database includes the facial image and corresponding identity letter for registering student
Breath, diet facial image correspond to the condition of consumption, and step S105 includes: by the people of diet facial image and registration student
Face image compares, and identifies the condition of consumption of each registration every meal of student, the diet of student is analyzed according to consumption
Situation.It deducts fees for example, the picture pick-up device for being installed on dining room passes through the facial image identified, to count the every meal of student
Diet situation, can determine whether out student according to diet situation, whether dietary, nutrition are balanced, using diet situation as mutual affection
One index of analysis.
As shown in fig. 6, electronic equipment provided in an embodiment of the present invention, including processor 11 and memory 12, the storage
Computer-readable program is stored in device 12, the computer-readable program is configured to be executed by processor 11, the calculating
Machine readable program realizes above-mentioned method when being executed by processor 11.
The method in electronic equipment and previous embodiment in the present embodiment be based on the same inventive concept under two sides
Face is in front described in detail method implementation process, so those skilled in the art can be clear according to foregoing description
Understand to Chu the implementation process of the electronic equipment in the present embodiment, in order to illustrate the succinct of book, details are not described herein again.
As seen through the above description of the embodiments, those skilled in the art can be understood that the present invention can
It realizes by means of software and necessary general hardware platform.Based on this understanding, technical solution of the present invention essence
On in other words the part that contributes to existing technology can be embodied in the form of software products.The invention further relates to one kind
Computer readable storage medium, such as ROM/RAM, magnetic disk, CD, are stored thereon with computer program, and computer program is located
Reason device realizes above-mentioned method when executing.
Analysis of the students method, electronic equipment and storage medium provided in an embodiment of the present invention, by comprehensive statistics study at
Achievement, classroom concentration situation, the positive implementations in classroom, learns situation, daily schedule and diet situation at class attendance situation after class
Analyze the studying and living situation of student, so as to reflect comprehensively student in school learning state, so as in time to study
Or the student that life aspect goes wrong corrects guidance early.
The above embodiment is only the preferred embodiment of the present invention, and the scope of protection of the present invention is not limited thereto,
The variation and replacement for any unsubstantiality that those skilled in the art is done on the basis of the present invention belong to institute of the present invention
Claimed range.
Claims (10)
1. a kind of analysis of the students method characterized by comprising
Acquisition is installed on classroom human body image captured by the picture pick-up device in classroom, is installed on captured by the picture pick-up device in library
Librarians face image, be installed on dormitory captured by the picture pick-up device of dormitory enter and leave situation facial image, be installed on dining room
Picture pick-up device captured by diet facial image;
It is special according to the class attendance situation of default classroom image information data library and classroom human body image analysis student, classroom
Infuse power situation and the positive implementations in classroom;
According to the study situation after class in default library's image information data library and Librarians face image analysis student;
The daily schedule of situation facial image analysis student is entered and left according to default dormitory image information data library and the dormitory;
According to the diet situation of default dining room information database and diet facial image analysis student;
Obtain the school grade of student;
According to the school grade, the class attendance situation, the classroom concentration situation, the positive implementations in the classroom,
The studying and living situation for learning situation, the daily schedule and the diet situation after class and analyzing student.
2. analysis of the students method as described in claim 1, which is characterized in that the default classroom image information data library includes
Should turn out for work student facial image feature and corresponding identity information, according to default classroom image information data library and the classroom
Human body image analysis student class attendance situation include:
Extract the facial image feature of the classroom human body image;
Judge whether there is the face figure of the classroom human body image identical with the facial image feature of student that should turn out for work
As feature;
The facial image feature of the classroom human body image identical with the facial image feature of student that should turn out for work if it exists,
Then by the corresponding identity information of facial image feature of the student that should turn out for work labeled as state of turning out for work;
The facial image of the classroom human body image identical with the facial image feature of student that should turn out for work is special if it does not exist
Sign, then by the corresponding identity information of facial image feature of the student that should turn out for work labeled as state of not turning out for work.
3. analysis of the students method as claimed in claim 2, which is characterized in that the classroom human body image further includes every default
Time collected facial image, according to the class in default classroom image information data library and classroom human body image analysis student
Hall concentration situation include:
According to the face's deviation angle and deviation frequency for identifying each student every the collected facial image of preset time;
If the deviation angle is in the first preset range or the deviation frequency is in the second preset range, judgement pair
The student classroom attention answered is concentrated.
4. analysis of the students method as claimed in claim 3, which is characterized in that the classroom human body image further includes arm appearance
Gesture, the positive implementations in classroom according to default classroom image information data library and classroom human body image analysis student include:
Facial expression is identified every the collected facial image of preset time according to described;
Judge whether it is to raise one's hand to operate according to the arm posture detected;
Judge whether it is to stand according to the position of the facial image;
The positive implementations in classroom of student are counted according to the facial expression, the number of the operation of raising one's hand and standing number.
5. analysis of the students method as described in claim 1, which is characterized in that default library's image information data library packet
The facial image and corresponding identity information for including registration student, according to default library's image information data library and the library
Facial image analysis student the situation of study after class include:
The Librarians face image and the facial image of the registration student are compared, each registration student is calculated and goes out
Enter the time in library and enters and leaves the frequency in library.
6. analysis of the students method as described in claim 1, which is characterized in that the default dormitory image information data library includes
Move in student facial image and corresponding identity, feelings are entered and left according to default dormitory image information data library and the dormitory
Condition facial image analysis student daily schedule include:
The dormitory is entered and left situation facial image to compare with the facial image for moving in student, identifies each move in
The time of student's disengaging dormitory;
Go out the daily schedule of student according to the time analysis for each moving in student's disengaging dormitory.
7. analysis of the students method as claimed in claim 6, which is characterized in that the method also includes:
If the daily schedule of the student is more than setting value, send a warning.
8. analysis of the students method as described in claim 1, which is characterized in that the default dining room information database includes registration
The facial image of student and corresponding identity information, the diet facial image corresponds to the condition of consumption, according to default dining room
Information database and the diet facial image analysis student diet situation include:
The diet facial image and the facial image of the registration student are compared, identify each registration student
The condition of consumption of every meal;
The diet situation of student is analyzed according to the consumption.
9. a kind of electronic equipment, which is characterized in that including processor and memory, be stored in the memory computer-readable
Program, the computer-readable program are configured to be executed by processor, when the computer-readable program is executed by processor
Realize the method as described in claim 1-8 any one.
10. a kind of computer readable storage medium, is stored thereon with computer program, which is characterized in that the computer program
The method as described in claim 1-8 any one is realized when being executed by processor.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201910203563.3A CN110110958A (en) | 2019-03-18 | 2019-03-18 | A kind of analysis of the students method, electronic equipment and storage medium |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201910203563.3A CN110110958A (en) | 2019-03-18 | 2019-03-18 | A kind of analysis of the students method, electronic equipment and storage medium |
Publications (1)
Publication Number | Publication Date |
---|---|
CN110110958A true CN110110958A (en) | 2019-08-09 |
Family
ID=67484324
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201910203563.3A Pending CN110110958A (en) | 2019-03-18 | 2019-03-18 | A kind of analysis of the students method, electronic equipment and storage medium |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN110110958A (en) |
Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112287844A (en) * | 2020-10-30 | 2021-01-29 | 北京市商汤科技开发有限公司 | Student situation analysis method and device, electronic device and storage medium |
CN112380896A (en) * | 2020-09-30 | 2021-02-19 | 深圳点猫科技有限公司 | Classroom learning situation analysis method, device and equipment |
CN112528890A (en) * | 2020-12-15 | 2021-03-19 | 北京易华录信息技术股份有限公司 | Attention assessment method and device and electronic equipment |
CN114445053A (en) * | 2022-04-11 | 2022-05-06 | 江西水利职业学院(江西省水利水电学校、江西省灌溉排水发展中心、江西省水利工程技师学院) | Smart campus data processing method and system |
Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103258260A (en) * | 2013-05-30 | 2013-08-21 | 苏州福丰科技有限公司 | Campus dormitory management system based on face recognition |
CN105809595A (en) * | 2016-03-14 | 2016-07-27 | 河南省阳光智创物联网科技有限公司 | College student behavior prediction and management system |
CN107609478A (en) * | 2017-08-09 | 2018-01-19 | 广州思涵信息科技有限公司 | A kind of real-time analysis of the students system and method for matching classroom knowledge content |
CN107918755A (en) * | 2017-03-29 | 2018-04-17 | 广州思涵信息科技有限公司 | A kind of real-time focus analysis method and system based on face recognition technology |
CN108416715A (en) * | 2018-05-11 | 2018-08-17 | 长江大学 | A kind of Campus security management system based on intelligent video camera head |
CN109360132A (en) * | 2018-11-30 | 2019-02-19 | 惠州市耀昇科技有限公司 | Campus administration method based on recognition of face |
CN109359521A (en) * | 2018-09-05 | 2019-02-19 | 浙江工业大学 | The two-way assessment system of Classroom instruction quality based on deep learning |
-
2019
- 2019-03-18 CN CN201910203563.3A patent/CN110110958A/en active Pending
Patent Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103258260A (en) * | 2013-05-30 | 2013-08-21 | 苏州福丰科技有限公司 | Campus dormitory management system based on face recognition |
CN105809595A (en) * | 2016-03-14 | 2016-07-27 | 河南省阳光智创物联网科技有限公司 | College student behavior prediction and management system |
CN107918755A (en) * | 2017-03-29 | 2018-04-17 | 广州思涵信息科技有限公司 | A kind of real-time focus analysis method and system based on face recognition technology |
CN107609478A (en) * | 2017-08-09 | 2018-01-19 | 广州思涵信息科技有限公司 | A kind of real-time analysis of the students system and method for matching classroom knowledge content |
CN108416715A (en) * | 2018-05-11 | 2018-08-17 | 长江大学 | A kind of Campus security management system based on intelligent video camera head |
CN109359521A (en) * | 2018-09-05 | 2019-02-19 | 浙江工业大学 | The two-way assessment system of Classroom instruction quality based on deep learning |
CN109360132A (en) * | 2018-11-30 | 2019-02-19 | 惠州市耀昇科技有限公司 | Campus administration method based on recognition of face |
Cited By (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112380896A (en) * | 2020-09-30 | 2021-02-19 | 深圳点猫科技有限公司 | Classroom learning situation analysis method, device and equipment |
CN112287844A (en) * | 2020-10-30 | 2021-01-29 | 北京市商汤科技开发有限公司 | Student situation analysis method and device, electronic device and storage medium |
CN112528890A (en) * | 2020-12-15 | 2021-03-19 | 北京易华录信息技术股份有限公司 | Attention assessment method and device and electronic equipment |
CN112528890B (en) * | 2020-12-15 | 2024-02-13 | 北京易华录信息技术股份有限公司 | Attention assessment method and device and electronic equipment |
CN114445053A (en) * | 2022-04-11 | 2022-05-06 | 江西水利职业学院(江西省水利水电学校、江西省灌溉排水发展中心、江西省水利工程技师学院) | Smart campus data processing method and system |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN110110958A (en) | A kind of analysis of the students method, electronic equipment and storage medium | |
CN109657529A (en) | Classroom teaching effect evaluation system based on human facial expression recognition | |
CN109815795A (en) | Classroom student's state analysis method and device based on face monitoring | |
CN102831412B (en) | Teaching attendance checking method and device based on face recognition | |
CN110059978B (en) | Teacher evaluation system based on cloud computing auxiliary teaching evaluation | |
CN105069342A (en) | Control method for educational resource database right based on face identification | |
CN111291613B (en) | Classroom performance evaluation method and system | |
CN201993822U (en) | School safety management system | |
CN111339801B (en) | Personnel attention detection method, device, equipment and system | |
CN113139885A (en) | Teaching management system and management method thereof | |
CN110443487A (en) | A kind of Method of Teaching Appraisal and equipment | |
CN206557851U (en) | A kind of situation harvester of listening to the teacher of imparting knowledge to students | |
Munoz et al. | Development of a software that supports multimodal learning analytics: A case study on oral presentations | |
CN111160277A (en) | Behavior recognition analysis method and system, and computer-readable storage medium | |
CN110837960A (en) | Student emotion analysis method | |
CN112101074A (en) | Online education auxiliary scoring method and system | |
KR20190043513A (en) | System For Estimating Lecture Attention Level, Checking Course Attendance, Lecture Evaluation And Lecture Feedback | |
CN107578015B (en) | First impression recognition and feedback system and method based on deep learning | |
CN114219224A (en) | Teaching quality detection method and system for intelligent classroom | |
Chowdhury et al. | Development of an automatic class attendance system using cnn-based face recognition | |
CN107958500A (en) | A kind of monitoring system for real border real time information sampling of imparting knowledge to students | |
CN111178263A (en) | Real-time expression analysis method and device | |
CN202044243U (en) | Vision detector | |
CN202044245U (en) | Vision tester based on IC card identification | |
CN202044242U (en) | Visual acuity detector based on fingerprint recognition |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination |