CN211349433U

CN211349433U - Campus attendance system adaptable to adult flow

Info

Publication number: CN211349433U
Application number: CN202020213177.0U
Authority: CN
Inventors: 王鹤翔; 卜翰飞; 高铭璐; 徐蕴清
Original assignee: Individual
Current assignee: Individual
Priority date: 2020-02-26
Filing date: 2020-02-26
Publication date: 2020-08-25
Anticipated expiration: 2030-02-26

Abstract

The utility model discloses a campus attendance system of adaptable adult's flow relates to attendance technical field. It is including setting up the lane fence at school door access & exit, the lane fence comprises a plurality of main floodgate casees and the vice floodgate case that a style of calligraphy set up, set up a main floodgate case between adjacent vice floodgate case, and constitute first passageway and second passageway in the left and right sides of this main floodgate case, main floodgate case roof both ends are equipped with preceding head portrait collection system and back head portrait collection system respectively, preceding head portrait collection system and back head portrait collection system are connected with the main control system, the main control system is connected with high in the clouds database and high in the clouds server, the high in the clouds server is connected with the intelligent Mobile terminal who is used for receiving attendance information, the main control system includes face identification module and RDF read write line, the RDF read write line is established on each main floodgate case and vice floodgate case. The attendance system combines the RFID technology, the face recognition technology, the front head portrait acquisition device and the rear head portrait acquisition device which are designed in a targeted manner, and can adapt to attendance recognition in the campus large-traffic scene.

Description

Campus attendance system adaptable to adult flow

Technical Field

The utility model relates to an attendance technical field, concretely relates to campus attendance system that combines adaptable adult's flow of RFID technique, face identification technique.

Background

Attendance has an important role in collective activities because people can be known whether to be in order or not through attendance and can be contacted with absent people in time. Especially for middle school and primary school, students are easy to have accidents in the middle school because of their age and age, their skin being adjusted and being not intelligible. Schools should have the responsibility to confirm that students return to the school on time within a specified time, and if the students do not return to the school, parents need to be informed in time to ensure safety. However, at present, schools cannot know whether students go back to school on time or not in time. In addition, some existing campus attendance systems adopt single face recognition or IC card recognition, so that the problem of low efficiency exists, and due to the fact that the head image acquisition device is not subjected to adaptive improvement, the campus attendance systems cannot adapt to attendance recognition work in the entering and leaving stages of adult traffic.

SUMMERY OF THE UTILITY MODEL

In order to solve the defect that above-mentioned technique exists, the utility model provides a campus attendance system of adaptable adult's flow.

The utility model discloses realize that the technical scheme that above-mentioned technological effect adopted is:

the utility model provides a campus attendance system of adaptable adult flow, is including setting up the lane fence at school gate access & exit, the lane fence comprises a plurality of main floodgate casees and the vice floodgate case that a style of calligraphy set up, and is adjacent set up one between vice floodgate case main floodgate case, and this the left and right sides of main floodgate case constitutes first passageway and second passageway, wherein, the both ends of the roof of main floodgate case are equipped with preceding head portrait collection device and the back head portrait collection device of associated collection respectively, preceding head portrait collection device with back head portrait collection device is connected with the main control system, the main control system is connected with high in the clouds database and high in the clouds server, the high in the clouds server is connected with the intelligent mobile terminal who is used for receiving attendance information, the main control system includes face identification module and RFID read write line, the RFID read write line is established each main floodgate case with on the vice floodgate case.

Preferably, in the campus attendance system adaptable to pedestrian volume, the front head portrait acquisition device and the rear head portrait acquisition device have the same structure, the front head portrait acquisition device is arranged at one end of the main gate box, which is at the top end of the main gate box, which faces the outside of the gate, and the rear head portrait acquisition device is arranged at one end of the main gate box, which is at the top end of the main gate box, which faces the inside of the gate.

Preferably, in the campus attendance system adaptable to pedestrian volume, the front camera image collecting device includes a spherical aluminum alloy camera housing and a base hermetically connected to the camera housing, the base is fixedly connected to the top of the main brake box, the camera housing is respectively provided with a first shooting window and a second shooting window at housing positions respectively facing the outside correction direction and the inside correction direction, the first shooting window is provided with a first face correction camera, and the second shooting window is provided with a second face correction camera.

Preferably, in the campus attendance system adaptable to pedestrian volume, the rear head portrait acquisition device is provided with a second school entrance face camera and a first school exit face camera at housing parts respectively facing the school exterior and the school interior.

Preferably, in the campus attendance system adaptable to pedestrian volume, the perspective surfaces of the first camera window and the second camera window are arranged obliquely upward, and an included angle α is formed between the perspective surfaces and the vertical direction.

Preferably, in the campus attendance system adaptable to pedestrian traffic, the included angle α is 30 °.

Preferably, in the campus attendance system adaptable to pedestrian volume, the campus attendance system further comprises an infrared sensor and an infrared signal processing circuit, the infrared signal processing circuit is connected with the power module and is respectively connected with the front head image acquisition device and the rear head image acquisition device, and the infrared sensor is arranged at a school gate and is connected with the infrared signal processing circuit.

Preferably, in the campus attendance system adaptable to pedestrian volume, the front head image acquisition device and the rear head image acquisition device are both provided with TVP5150 decoding chips, and the face recognition module includes a multi-channel video acquisition and compression processing PCI board card based on a TMS320DM642 chip.

The utility model has the advantages that: the utility model discloses a campus attendance system is through combining multiple information acquisition technique, and RFID technique and face identification technique can adapt to the attendance discernment under this kind of adult's flow scene in campus. The front head portrait acquisition device and the rear head portrait acquisition device which are designed in a targeted manner can perform primary face recognition and secondary face recognition on students entering a channel between the brake boxes, so that the face recognition efficiency and the face recognition accuracy are improved. In addition, the intelligent mobile terminal receives attendance information sent by the cloud server, and whether students go to school on time or not can be determined in real time. If the students do not go to school on time, the cloud server automatically sends information to parents and the main officers of the class, and the schools and the parents can ensure the safety of the students in time.

Drawings

FIG. 1 is a view showing the arrangement of the lane fence according to the present invention;

FIG. 2 is a block diagram of the present invention;

FIG. 3 is a perspective view of the front image collecting device of the present invention;

fig. 4 is a front view of the front image collecting device of the present invention;

fig. 5 is a side view of the front image collecting device of the present invention;

fig. 6 is a circuit diagram of the infrared signal processing circuit of the present invention;

fig. 7 is a circuit diagram of the head portrait collecting device and the face recognition module of the present invention.

Detailed Description

For a further understanding of the invention, reference is made to the following description taken in conjunction with the accompanying drawings and specific examples, in which:

in the description of the present invention, it should be noted that the terms "vertical", "upper", "lower", "horizontal", and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, and are only for convenience of description and simplification of the description, but do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and thus, should not be construed as limiting the present invention. Furthermore, "first," "second," "third," and "fourth" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.

In the description of the present invention, it should be further noted that, unless explicitly stated or limited otherwise, the terms "disposed," "mounted," "connected," and "connected" are to be construed broadly and may be, for example, fixedly connected, detachably connected, or integrally connected, mechanically connected, electrically connected, directly connected, connected through an intermediate medium, or connected to the inside of two elements. The specific meaning of the above terms in the present invention can be understood according to specific situations by those skilled in the art.

As shown in fig. 1 and 2, the embodiment of the utility model provides a campus attendance system of adaptable adult's flow, it is including setting up the lane fence at school door access & exit, and the lane fence comprises a plurality of main floodgate casees 1 and the vice floodgate case 2 that a style of calligraphy set up. A main brake box 1 is arranged between adjacent auxiliary brake boxes 2, a first channel 5 and a second channel 6 are formed on the left side and the right side of the main brake box 1, students can conveniently enter and exit in batches at the same time through channel division, and ordered entrance and exit of adult flow is achieved. Wherein, as the utility model discloses an improve, the both ends of the roof of main floodgate case 1 are equipped with preceding head portrait collection system 3 and the back head portrait collection system 4 of associative collection respectively, and preceding head portrait collection system 3 and back head portrait collection system 4 are used for gathering student's face image data. The front head portrait acquisition device 3 and the rear head portrait acquisition device 4 are connected with a control host, the control host is connected with a cloud database and a cloud server, and the cloud server is connected with an intelligent mobile terminal for receiving attendance information. The control host comprises a face recognition module and RFID readers-writers 7, the RFID readers-writers 7 are arranged on the main brake boxes 1 and the auxiliary brake boxes 2, and when students pass in and out, the RFID readers-writers 7 can read and write the RFID cards with unique codes held by the students. The intelligent mobile terminal is characterized in that face information of students, student information and correspondingly bound intelligent mobile terminals are prestored in the cloud database. The face recognition module is used for comparing and recognizing face information collected by the front head portrait collection device 3 and the rear head portrait collection device 4 with face information of students' faces prestored in the cloud database in real time, then associating face recognition results with the student information and the corresponding bound intelligent mobile terminals through the control host, and sending the face recognition results to the bound intelligent mobile terminals through the cloud server. Whether the student is on time to school or not can be judged through the attendance data, when the student does not reach a school on time, the corresponding situation is sent to the guardian and the intelligent mobile terminal of the executive officer of the student, and the safety of the student is ensured in time.

Further, in the preferred embodiment of the present invention, as shown in fig. 3 to 5, the front avatar collecting device 3 and the rear avatar collecting device 4 have the same structure. Specifically, the front head portrait acquisition device 3 is arranged at one end of the top of the main gate box 1 facing the outside of the gate, and the rear head portrait acquisition device 4 is arranged at one end of the top of the main gate box 1 facing the inside of the gate, and the two devices are used for correlated acquisition. The front head image acquisition device 3 comprises a spherical aluminum alloy camera shell 31 and a base 32 hermetically connected with the camera shell 31, and the base 32 is fixedly connected to the top of the main brake box 1. The camera housing 31 is provided with a first shooting window 33 and a second shooting window 34 at the housing portions facing the exterior calibration direction and the interior calibration direction, respectively, a first face camera entering the calibration is arranged in the first shooting window 33, and a second face camera exiting the calibration is arranged in the second shooting window 34. Similarly, the rear head portrait collecting device 4 is respectively provided with a second school entrance face camera and a first school exit face camera at the casing parts facing the outside and the inside of the school respectively. When entering a school gate, students passing through the first channel 5 and the second channel 6 are subjected to face acquisition and identification by the front head portrait acquisition device 3 and the rear head portrait acquisition device 4 on the main gate box 1, and are simultaneously subjected to RFID card identification and reading by the RFID reader-writer 7. When entering a school gate, a first school entrance face camera on the front head portrait acquisition device 3 and a second school entrance face camera on the rear head portrait acquisition device 4 can respectively perform face acquisition on passing students in an associated manner. When the face camera of going into school was gathered unsuccessfully through first, go into school face camera through the second and gather promptly, guarantee the exactness and the efficiency nature that face gathered, avoid the student to be detained. Further details are: the front head portrait acquisition device 3 and the back head portrait acquisition device 4 work synchronously, and students do not need to stay when passing through, and the students keep normal pace speed to pass through, when passing through the first school face camera, if the first school face camera of entering is gathered unsuccessfully, then the second school face camera of entering uploads the face data of gathering. When the first school face camera is successfully collected, the face data collected by the second school face camera is discarded, specifically, discarding means releasing the memory. Similarly, the working principle of the first school face camera and the second school face camera is consistent with that of the first school face camera and the second school face camera.

In order to capture the face of the student at a better angle, as shown in fig. 5, the first camera window 33 and the second camera window 34 are disposed at an angle α with respect to the vertical direction, that is, the perspective surfaces of the first camera window 33 and the second camera window 34 are disposed obliquely upward. In a preferred embodiment of the present invention, the first and

second recording windows

33 and 34 are disposed at an angle α of 30 ° with respect to the vertical direction.

Further, in the preferred embodiment of the present invention, as shown in fig. 2, the present invention further comprises an infrared sensor and an infrared signal processing circuit, the infrared signal processing circuit is connected to the power module and respectively connected to the front head portrait collecting device 3 and the rear head portrait collecting device 4, and the infrared sensor is arranged at the school gate and connected to the infrared signal processing circuit. The front head portrait acquisition device 3 and the rear head portrait acquisition device 4 are both provided with TVP5150 decoding chips, and the face recognition module comprises a multi-channel video acquisition and compression processing PCI board card based on a TMS320DM642 chip. Specifically, as shown in fig. 6, the infrared signal processing circuit adopts a BISS0001 chip as a pyroelectric infrared sensing signal processor, and 7805 is a three-terminal voltage stabilization integrated circuit for providing power to the infrared signal processing circuit. The 9 th pin of the BISS0001 chip is an input pin for triggering the control signal Vc, and the purpose can be achieved by adjusting the resistor R3, wherein the input voltage should be ensured in the work. When a student enters an induction area, infrared sensors PIR convert detected infrared rays emitted by a human body into electric signals, the electric signals are sent to the interior of a BISS0001 chip, the signals are processed by the BISS0001 chip and then output by 2 pins, and output Vo is jump from low level to high level. If the BISS0001 chip works in the condition that the active state can not be triggered repeatedly (namely S1 is connected with low level in fig. 6), the duration of high level is Ts (Ts = 49152R 1C1), and when the time period of Ts is over, the output Vo immediately enters low level from high level and is blocked for the duration of Ti (Ti =24R2C 2). For the case where the active state is repeatedly triggered (i.e., S1 goes high in fig. 6), if the change in the input during the previous Ts period causes the output active state to trigger again, the Vo high signal will last for a further Tx duration from this point on before transitioning to low and entering the lockout time Ti. During the lockout time, even disturbances introduced due to switching of the load do not change the state of the output Vo. Let S1 connect high level, the output signal Vo of the infrared signal processing circuit is used as the external interrupt signal of the face recognition module, and at the same time, it is also used as the power saving mode input control signal of the TVP5150 decoding chip.

Specifically, the front head portrait acquisition device 3 and the back head portrait acquisition device 4 adopt a TVP5150 as a decoding chip, the TVP5150 decoding chip is an ultra-low power consumption decoding chip, the power consumption during normal operation is only 113 mW, the power consumption in the power saving mode is 1 mW, and the formats such as PAL/NTSC/SECAM are supported, so that the analog image signal acquired by the camera can be converted into an ITU-R bt.656 digital signal in YUV4:2:2 format. The ITU-R BT.656 digital signal of 8 bits 4:2:2 (synchronization signal embedded) and the ITU-R BT.601 signal of 8 bits 4:2:2 (synchronization signal separated, single pin output) can be selected to be output. Specifically, as shown in fig. 7, the TVP5150 decoding chip and the TMS320DM642 chip are connected in hardware, AIP1A and AIP1B of the TVP5150 decoding chip are input terminals of analog signals, the input terminals need to be connected with a filter capacitor of 0.1-1 μ F, and HSYNC is an output terminal of a row synchronization signal. The PND pin is the control signal input end of the power saving mode, the low level is effective, the PND pin is connected with the output signal Vo of the infrared signal processing circuit, when no student walks in the sensing area, the Vo is the low level, and therefore the TVP5150 decoding chip enters the power saving mode. Yout [6:0] is BT.656/YUV data output pin, Yout [7]/I2CSEL is the 7 th bit of BT.656/YUV data and is also I2C interface device address setting bit, and the device address of TVP5150 decoding chip is determined by the pull-up resistance or pull-down resistance connected with the I2CSEL pin. SCL and SDA are serial clock and data pins of an I2C interface respectively, and the TMS320DM642 chip accesses the internal registers of the TVP5150 decoding chip through an I2C bus. VP0D [19:0] of the TMS320DM642 chip is a data bus pin of a video port VP0, wherein VP0D [8:2] is multiplexed with a multichannel serial port McBSP0 pin, and in order to configure VP0D [8:2] as a low-bit data pin of VP0, VP0EN position 1 in a PERCFG register, VP0CLK0 is an external pixel clock input pin and is connected with a pixel clock output pin PCLK/SCLK of the TVP5150 decoding chip.

To sum up, the utility model discloses a campus attendance system is through combining multiple information acquisition technique, RFID technique and face identification technique, can adapt to the attendance discernment under this kind of adult's flow scene in campus. The front head portrait acquisition device and the rear head portrait acquisition device which are designed in a targeted manner can perform primary face recognition and secondary face recognition on students entering a channel between the brake boxes, so that the face recognition efficiency and the face recognition accuracy are improved. In addition, the intelligent mobile terminal receives attendance information sent by the cloud server, and whether students go to school on time or not can be determined in real time. If the students do not go to school on time, the cloud server automatically sends information to parents and the main officers of the class, and the schools and the parents can ensure the safety of the students in time.

The utility model discloses a campus attendance system uses the RFID technique to obtain student's information's reason is that RFID is the method that non-contact acquireed information, and the student advances the information that can acquire the student card, is fit for this kind of intensive scene of personnel at school. In addition, sometimes students forget to take student cards, which requires the students to perform face recognition. Because students have many staff, if everyone uses face attendance, the efficiency is very low, but the face recognition is convenient in that the face is the basic biological information characteristic of the person, is easy to obtain, and does not worry about the situations of loss or impersonation and the like. Through the two methods, whether the student is on time to go to school or not can be confirmed in real time. If the system checks that the student does not go to school on time, the system judges whether the system applies for asking for leave of the student, and if not, the system sends the relevant information of the student to terminals of a class owner and a parent. The parents and the students can communicate in time, so that the safety of the students can be ensured in time. In addition, the cloud server can also perform statistical analysis on the attendance conditions of students in each class for a period of time. Such as the number of absent students without accident, the number of late students, etc. The learning style of a certain class can be seen from the attendance.

The foregoing shows and describes the general principles, essential features, and advantages of the invention. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, but rather is described in the foregoing embodiments and the description with reference to the principles of the invention and that various changes and modifications may be made without departing from the spirit and scope of the invention, and it is intended that all such changes and modifications fall within the scope of the invention as claimed, which is defined by the claims appended hereto and their equivalents.

Claims

1. A campus attendance system adaptable to pedestrian volume comprises a lane-dividing fence arranged at an entrance and an exit of a school gate, wherein the lane-dividing fence is composed of a plurality of main gate boxes (1) and auxiliary gate boxes (2) which are arranged in a straight line shape, one main gate box (1) is arranged between every two adjacent auxiliary gate boxes (2), and a first channel (5) and a second channel (6) are formed on the left side and the right side of the main gate box (1), and the campus attendance system is characterized in that a front head portrait acquisition device (3) and a rear head portrait acquisition device (4) which are used for relevant acquisition are respectively arranged at two ends of the top of the main gate box (1), the front head portrait acquisition device (3) and the rear head portrait acquisition device (4) are connected with a control host, the control host is connected with a cloud database and a cloud server, the cloud server is connected with an intelligent mobile terminal used for receiving attendance information, the control host comprises a human face identification module and an RFID reader-writer (7), the RFID reader-writer (7) is arranged on each main brake box (1) and each auxiliary brake box (2).

2. The campus attendance system capable of adapting to pedestrian flow according to claim 1, wherein the front head portrait acquisition device (3) and the rear head portrait acquisition device (4) are identical in structure, the front head portrait acquisition device (3) is arranged at one end of the main gate box (1) at the top facing the outside of the gate, and the rear head portrait acquisition device (4) is arranged at one end of the main gate box (1) at the top facing the inside of the gate.

3. The campus attendance system capable of adapting to pedestrian flow according to claim 2, wherein the front camera collection device (3) comprises a spherical aluminum alloy camera housing (31) and a base (32) hermetically connected with the camera housing (31), the base (32) is fixedly connected to the top of the main brake box (1), the camera housing (31) is respectively provided with a first camera window (33) and a second camera window (34) at housing positions respectively facing the direction outside and inside the campus, the first camera window (33) is provided with a first school entrance face camera, and the second camera window (34) is provided with a second school exit face camera.

4. The campus attendance system adaptable to the pedestrian traffic as claimed in claim 3, wherein the rear head image collecting means (4) is provided with a second school entrance face camera and a first school exit face camera at housing positions respectively facing in and out of the campus.

5. The campus attendance system capable of adapting to pedestrian traffic as claimed in claim 4, wherein the perspective surfaces of the first camera window (33) and the second camera window (34) are disposed obliquely upward and at an angle α to the vertical direction.

6. The campus attendance system capable of adapting to pedestrian traffic as claimed in claim 5, wherein the included angle α is 30 °.

7. The campus attendance system adaptable to the mass flow according to claim 1, further comprising an infrared sensor and an infrared signal processing circuit, wherein the infrared signal processing circuit is connected with a power module and is respectively connected with the front head portrait acquisition device (3) and the rear head portrait acquisition device (4), and the infrared sensor is arranged at a school gate and is connected with the infrared signal processing circuit.

8. The campus attendance system capable of adapting to pedestrian flow according to claim 1, wherein the front head image acquisition device (3) and the rear head image acquisition device (4) are both provided with TVP5150 decoding chips, and the face recognition module comprises a multi-channel video acquisition and compression processing PCI board card based on a TMS320DM642 chip.