CN112530035A - Dormitory bed-checking intelligent attendance-checking device and method based on artificial intelligence - Google Patents
Dormitory bed-checking intelligent attendance-checking device and method based on artificial intelligence Download PDFInfo
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- CN112530035A CN112530035A CN202011220081.8A CN202011220081A CN112530035A CN 112530035 A CN112530035 A CN 112530035A CN 202011220081 A CN202011220081 A CN 202011220081A CN 112530035 A CN112530035 A CN 112530035A
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C1/00—Registering, indicating or recording the time of events or elapsed time, e.g. time-recorders for work people
- G07C1/10—Registering, indicating or recording the time of events or elapsed time, e.g. time-recorders for work people together with the recording, indicating or registering of other data, e.g. of signs of identity
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Abstract
The invention discloses an intelligent dormitory checking and sleeping attendance device and method based on artificial intelligence. According to the invention, the number of students detected by the human body infrared sensing module is compared with the number of students actively signed in, so that different people can be accurately and quickly found out, timely response is facilitated, the safety of the students is improved, the labor intensity of related personnel is reduced and the working efficiency is improved through intelligent equipment attendance, meanwhile, the occurrence of false work is avoided, and the practicability is strong.
Description
Technical Field
The invention relates to the technical field of attendance checking devices, in particular to an intelligent dormitory work attendance checking device and method based on artificial intelligence.
Background
With the rapid development of modern electronic technology, computer technology, communication technology, sensing technology, manufacturing technology and the like, the cost of electronic components is reduced, the living standard of people is improved to a great extent, convenience in multiple aspects is brought to the life of people, along with the continuous improvement of the living standard, the number of social entertainment places is increased, and a plurality of college students tend not to go home at night, so that great hidden dangers are brought to the management work of schools and the personal safety of the students.
Disclosure of Invention
The present invention is directed to solving the above problems and providing an intelligent dormitory-checking and sleeping attendance device and method based on artificial intelligence.
The invention realizes the purpose through the following technical scheme:
an intelligent dormitory checking and sleeping attendance device based on artificial intelligence comprises a dormitory monitoring component for monitoring the attendance condition of students in a dormitory, an information receiving and sending component which is arranged in a dormitory corridor and connected with the output end of the dormitory monitoring component for transmitting processing information, and a terminal monitoring component which is arranged at a dormitory pipe and connected with the output end of the information receiving and sending component for facilitating the dormitory pipe to check the attendance condition of the students;
the information transceiving component comprises a gateway and an Ethernet, and the Ethernet is connected with the gateway;
the dormitory monitoring assembly comprises a human body infrared induction module and an attendance card punching assembly, wherein the human body infrared induction module is arranged right above each bed in each student dormitory, and is embedded on the roof of the dormitory;
the terminal monitoring component comprises a server and a computer, and the output end of the server is connected with the computer;
the output end of the human body infrared induction module is connected with the input end of the server through the gateway and the Ethernet.
Preferably: attendance subassembly of checking card is including installing the corridor equipment of checking card at student's dormitory building floor, every the corridor equipment of checking card all includes face identification mechanism, IC-card identification mechanism, fingerprint identification mechanism, cell-phone and sweeps a yard identification mechanism, four mechanism parallel connection, and the output all passes through the gateway Ethernet connect in the input of server.
Preferably: the attendance card punching assembly comprises dormitory face recognition equipment installed in each student dormitory, and the output end of the face recognition equipment is connected to the input end of the server through the gateway and the Ethernet.
A dormitory intelligent attendance device method based on artificial intelligence comprises the following steps:
a. firstly, students sequentially check in through the corridor card printing equipment arranged on each floor, or use the dormitory face recognition equipment of each dormitory to brush faces to check in, and the check-in is finished before the specified time;
b. the information of the student sign-in is transmitted to the gateway, and then transmitted to the server by using the Ethernet, so that the computer at the host management can clearly know the sign-in condition of the student and record the sign-in condition;
c. after the student is bedded, the human body infrared sensing module detects whether a signal is output on each bed or not, the detected result is transmitted to the gateway and then transmitted to the server by using the Ethernet, the computer at the host tube is used for observing whether the sleeping condition of the student is consistent with the attendance condition or not, and the observed result is recorded;
d. and comparing the results of the two times, and finding out the information with difference.
Compared with the prior art, the invention has the following beneficial effects:
the number of students who detects through human infrared induction module compares with the number condition that the student initiatively signed in, and the difference crowd of finding out that accurate quick is convenient for in time respond, has improved student's security, and through intelligent equipment attendance, reduced relevant personnel's intensity of labour, promoted work efficiency, also avoided the condition of making false simultaneously to take place, and the practicality is stronger.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
Fig. 1 is a schematic structural diagram of a first embodiment of an intelligent dormitory-bed-checking and attendance-checking device based on artificial intelligence according to the present invention;
fig. 2 is a schematic diagram of an internal module connection structure of a first embodiment of an intelligent dormitory-bed-checking and attendance-checking device based on artificial intelligence according to the present invention;
fig. 3 is a schematic structural diagram of a second embodiment of the intelligent dormitory-bed-checking and attendance-checking device based on artificial intelligence according to the present invention;
fig. 4 is a schematic diagram of an internal module connection structure of a second embodiment of the intelligent dormitory-bed-checking and attendance-checking device based on artificial intelligence according to the present invention.
The reference numerals are explained below:
1. a dormitory monitoring component; 11. a human body infrared induction module; 12. a corridor card punching device; 121. a face recognition mechanism; 122. an IC card identification mechanism; 123. a fingerprint recognition mechanism; 124. a mobile phone code scanning identification mechanism; 13. dormitory face recognition equipment; 2. an information transceiving component; 21. a gateway; 22. an Ethernet; 3. a terminal monitoring component; 31. a server; 32. a computer.
Detailed Description
In the description of the present invention, it is to be understood that the terms "center", "longitudinal", "lateral", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", and the like, indicate orientations or positional relationships based on those shown in the drawings, and are used only for convenience in describing the present invention and for simplicity in description, and do not indicate or imply that the referenced devices or elements must have a particular orientation, be constructed and operated in a particular orientation, and thus, are not to be construed as limiting the present invention. Furthermore, the terms "first", "second", etc. are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first," "second," etc. may explicitly or implicitly include one or more of that feature. In the description of the present invention, "a plurality" means two or more unless otherwise specified.
In the description of the present invention, it should be noted that, unless otherwise explicitly specified or limited, the terms "mounted," "connected," and "connected" are to be construed broadly, e.g., as meaning either a fixed connection, a removable connection, or an integral connection; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meaning of the above terms in the present invention can be understood by those of ordinary skill in the art through specific situations.
The invention will be further described with reference to the accompanying drawings in which:
example 1
As shown in fig. 1-2, an intelligent attendance device for checking dormitory based on artificial intelligence comprises a dormitory monitoring component 1 for monitoring attendance conditions of students in a dormitory, an information transceiving component 2 installed in a dormitory corridor and connected to an output end of the dormitory monitoring component 1 for transmitting processing information, and a terminal monitoring component 3 installed at a host pipe and connected to an output end of the information transceiving component 2 for facilitating the host pipe to check attendance conditions of students;
the information transceiving component 2 comprises a gateway 21 and an Ethernet 22, wherein the Ethernet 22 is connected with the gateway 21;
the dormitory monitoring assembly 1 comprises a human body infrared induction module 11 and an attendance checking and card punching assembly, wherein the human body infrared induction module 11 is installed right above each bed in each student dormitory, and the human body infrared induction module 11 is embedded on the roof of the dormitory;
the terminal monitoring component 3 comprises a server 31 and a computer 32, wherein the output end of the server 31 is connected with the computer 32;
the output end of the human body infrared sensing module 11 is connected to the input end of the server 31 through the gateway 21 and the ethernet 22.
Preferably: the attendance card punching assembly comprises corridor card punching equipment 12 installed on floors of students' dormitory buildings, each corridor card punching equipment 12 comprises a face recognition mechanism 121, an IC card recognition mechanism 122, a fingerprint recognition mechanism 123 and a mobile phone code scanning recognition mechanism 124, the four mechanisms are connected in parallel, and the output ends of the four mechanisms are connected to the input end of a server 31 through a gateway 21 and an Ethernet 22.
Example 2
As shown in fig. 3-4, an intelligent attendance device for checking dormitory based on artificial intelligence comprises a dormitory monitoring component 1 for monitoring attendance conditions of students in a dormitory, an information transceiving component 2 installed in a dormitory corridor and connected to an output end of the dormitory monitoring component 1 for transmitting processing information, and a terminal monitoring component 3 installed at a host pipe and connected to an output end of the information transceiving component 2 for facilitating the host pipe to check attendance conditions of students;
the information transceiving component 2 comprises a gateway 21 and an Ethernet 22, wherein the Ethernet 22 is connected with the gateway 21;
the dormitory monitoring assembly 1 comprises a human body infrared induction module 11 and an attendance checking and card punching assembly, wherein the human body infrared induction module 11 is installed right above each bed in each student dormitory, and the human body infrared induction module 11 is embedded on the roof of the dormitory;
the terminal monitoring component 3 comprises a server 31 and a computer 32, wherein the output end of the server 31 is connected with the computer 32;
the output end of the human body infrared sensing module 11 is connected to the input end of the server 31 through the gateway 21 and the ethernet 22.
Preferably: the attendance checking and card punching assembly comprises dormitory face recognition equipment 13 installed in each student dormitory, and the output end of the face recognition equipment is connected to the input end of the server 31 through a gateway 21 and an Ethernet 22.
A dormitory intelligent attendance device method based on artificial intelligence comprises the following steps:
a. firstly, students sign in through a corridor card printing device 12 arranged on each floor in sequence, or check in through a face brushing by using a dormitory face recognition device 13 of each dormitory, wherein the sign-in is finished before the specified time;
b. the information of student sign-in is transmitted to the gateway 21, and then transmitted to the server 31 by using the Ethernet 22, and the computer 32 at the host can clearly know the sign-in condition of the student and record the sign-in condition;
c. after the student is bedded, the human body infrared sensing module 11 detects whether a signal is output on each bed, the detected result is transmitted to the gateway 21 and then transmitted to the server 31 by using the Ethernet 22, whether the sleeping condition of the student is consistent with the checked-in condition is observed through the computer 32 at the host pipe, and the observed result is recorded;
d. and comparing the results of the two times, and finding out the information with difference.
The foregoing illustrates and describes the principles, general features, and advantages of the present invention. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, which are described in the specification and illustrated only to illustrate the principle of the present invention, but that various changes and modifications may be made therein without departing from the spirit and scope of the present invention, which fall within the scope of the invention as claimed.
Claims (4)
1. The utility model provides a dormitory intelligence attendance device of looking into dormitory based on artificial intelligence which characterized in that: the dormitory attendance monitoring system comprises a dormitory monitoring component (1) for monitoring student dormitory attendance conditions, an information receiving and sending component (2) which is installed in a dormitory corridor and connected to the output end of the dormitory monitoring component (1) for transmitting processing information, and a terminal monitoring component (3) which is installed at a dormitory pipe and connected to the output end of the information receiving and sending component (2) for facilitating the dormitory pipe to check the student attendance conditions;
the information transceiving component (2) comprises a gateway (21) and an Ethernet (22), wherein the Ethernet (22) is connected to the gateway (21);
the dormitory monitoring assembly (1) comprises a human body infrared induction module (11) and an attendance checking and card punching assembly, the human body infrared induction module (11) is installed right above each bed in each student dormitory, and the human body infrared induction module (11) is embedded on the top of a dormitory building;
the terminal monitoring component (3) comprises a server (31) and a computer (32), and the output end of the server (31) is connected with the computer (32);
the output end of the human body infrared induction module (11) is connected with the input end of the server (31) through the gateway (21) and the Ethernet (22).
2. The intelligent dormitory-checking and sleeping attendance device based on the artificial intelligence as claimed in claim 1, wherein: attendance subassembly of checking card is including installing corridor equipment of checking card (12) at student's dormitory building floor, every corridor equipment of checking card (12) all include face identification mechanism (121), IC-card identification mechanism (122), fingerprint identification mechanism (123), cell-phone and sweep sign indicating number identification mechanism (124), four mechanism parallel connection, and the output all passes through gateway (21) ethernet (22) connect in the input of server (31).
3. The intelligent dormitory-checking and sleeping attendance device based on the artificial intelligence as claimed in claim 1, wherein: the attendance card punching assembly comprises dormitory face recognition equipment (13) installed in each student dormitory, wherein the output end of the face recognition equipment is connected with the input end of the server (31) through the gateway (21) and the Ethernet (22).
4. A dormitory intelligent attendance device method based on artificial intelligence is characterized by comprising the following steps:
a. firstly, students sequentially check in through the corridor card punching equipment (12) arranged on each floor, or use the dormitory face recognition equipment (13) of each dormitory to brush faces and check in, and the check-in is finished before the specified time;
b. the information of the student sign-in is transmitted to the gateway (21), and then transmitted to the server (31) by using the Ethernet (22), and the computer (32) at the host can clearly know the sign-in condition of the student and record the sign-in condition;
c. after the student is bedded, the human body infrared sensing module (11) detects whether a signal is output on each bed or not, the detected result is transmitted to the gateway (21), then the Ethernet (22) is transmitted to the server (31), whether the sleeping condition of the student is consistent with the checked-in condition or not is observed through the computer (32) at the host pipe, and the observed result is recorded;
d. and comparing the results of the two times, and finding out the information with difference.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011220081.8A CN112530035A (en) | 2020-11-05 | 2020-11-05 | Dormitory bed-checking intelligent attendance-checking device and method based on artificial intelligence |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202011220081.8A CN112530035A (en) | 2020-11-05 | 2020-11-05 | Dormitory bed-checking intelligent attendance-checking device and method based on artificial intelligence |
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| CN112530035A true CN112530035A (en) | 2021-03-19 |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN113507499A (en) * | 2021-06-02 | 2021-10-15 | 山西三友和智慧信息技术股份有限公司 | Smart campus dormitory-checking system based on big data |
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| CN210119809U (en) * | 2019-06-20 | 2020-02-28 | 珠海鼎日电子科技有限公司 | Noninductive intelligent attendance system |
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Patent Citations (7)
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| US20100173581A1 (en) * | 2009-01-02 | 2010-07-08 | Dolan Michael J | Method and apparatus for analysis and improvement of hand hygiene practices |
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Application publication date: 20210319 |