CN213985389U - PYNQ-Z2-based non-contact temperature measurement and face recognition device - Google Patents
PYNQ-Z2-based non-contact temperature measurement and face recognition device Download PDFInfo
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- CN213985389U CN213985389U CN202023005752.7U CN202023005752U CN213985389U CN 213985389 U CN213985389 U CN 213985389U CN 202023005752 U CN202023005752 U CN 202023005752U CN 213985389 U CN213985389 U CN 213985389U
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Abstract
The utility model belongs to the temperature measurement face recognition technology, in particular to a PYNQ-Z2-based non-contact temperature measurement and face recognition device, which comprises a temperature measurement module, a camera acquisition module and a PYNQ-Z2 control module; the temperature measuring module is connected with the camera acquisition module in parallel and then connected with the PYNQ-Z2 control module. The temperature measuring range of the device is 20-50 ℃, and the temperature measuring error is less than 0.5 ℃. The alarm temperature threshold value can be set in a stepping mode within the range of 20-50 ℃. The test distance can range from 3cm to 200 cm. The face data of 10 persons at most can be stored, and the face characteristics of the tested person can be recorded, learned and identified on site. The working state of the system can be displayed in real time through the display screen, the functional mode is controlled in real time through the matrix keyboard, and the human-computer interaction is good.
Description
Technical Field
The utility model belongs to the technical field of temperature measurement face identification, in particular to contactless temperature measurement and face identification device based on PYNQ-Z2.
Background
Thermometric instruments are broadly classified into two categories, contact and non-contact, respectively. When the contact type temperature measuring instrument is used for measuring the temperature, the contact type temperature measuring instrument needs to be contacted with a measured object, so that the cross infection condition is easily caused. The non-contact temperature measuring instrument has no risk, so the non-contact temperature measurement becomes the mainstream temperature measurement means in the epidemic situation prevention and control stage. Meanwhile, because the epidemic situation has high risk of people, closed management is carried out in disputes across the country. In this management, the task of entry and exit registration is very laborious, and a large amount of manpower is required to look at and watch and urge the resident to register. And by adopting the face recognition system, the face can be brushed in and out only by inputting information once and then in and out. This reduces the chance of cross-contamination of the handwritten registration collection and also reduces worker stress.
Most non-contact temperature measuring devices and face recognition devices on the market are separated, so that the cost is increased, and the installation and the disassembly are not convenient. In addition, the existing non-contact temperature measuring device is greatly influenced by factors such as external environment temperature, distance between a measurer and the device and the like, so that the temperature measurement of many non-contact temperature measuring devices is not accurate enough. Therefore, it is necessary to design a device which has a simple scheme, a small size, functions of face recognition and temperature measurement, and accurate temperature measurement.
SUMMERY OF THE UTILITY MODEL
To the problem that the background art exists, the utility model provides a simple and easy reliable, temperature measurement is accurate, can realize the device of face identification function.
In order to solve the technical problem, the utility model adopts the following technical scheme: a PYNQ-Z2-based non-contact temperature measurement and face recognition device comprises a temperature measurement module, a camera acquisition module and a PYNQ-Z2 control module; the temperature measuring module is connected with the camera acquisition module in parallel and then connected with the PYNQ-Z2 control module; the temperature measuring module comprises an ambient temperature measuring module, an infrared temperature measuring module and a laser ranging module which are connected in parallel, the temperature measuring module is horizontally arranged, and the infrared temperature measuring module and the laser ranging module are closely arranged on the same vertical plane; the environment temperature measuring module is arranged at a certain distance away from the infrared measuring module and the laser ranging module; the PYNQ-Z2 control module comprises a PYNQ-Z2 development board, an OLED display screen and a 3 x 3 matrix keyboard, wherein the PYNQ-Z2 development board is connected with the OLED display screen and the 3 x 3 matrix keyboard respectively.
In the PYNQ-Z2-based non-contact temperature measurement and face recognition device, the infrared temperature measurement module comprises an infrared thermometer, an AD conversion chip ADs805, an emitter follower OPA690, a fully differential amplifier THS4151, an SN74LV1T126DBVR chip and a peripheral circuit; the emitter follower OPA690 is connected to the fully differential amplifier THS4151, the fully differential amplifier THS4151 is connected to the AD conversion chip ADS805, and the AD conversion chip ADS805 is connected to the SN74LV1T126DBVR chip.
In the above PYNQ-Z2-based contactless temperature measurement and face recognition device, the ambient temperature measurement module includes a temperature sensor LMT70, an AD conversion chip ADs1118 and an OPA690 chip, and both the temperature sensor LMT70 and the AD conversion chip ADs1118 are connected to the OPA690 chip.
In the PYNQ-Z2-based non-contact temperature measurement and face recognition device, the PYNQ-Z2 development board comprises a temperature processing module and a face recognition module; the temperature processing module is respectively connected with the environment temperature measuring module, the infrared temperature measuring module and the laser ranging module, and the camera collecting module is connected with the face recognition module.
Compared with the prior art, the beneficial effects of the utility model are that: the PYNQ-Z2 development board is used as a control core, the influence of the ambient temperature and the measurement distance is fully considered when the temperature is measured, the temperature measurement is accurate, the temperature exceeding alarm is added, the face recognition function and the function of judging whether a tester wears the mask are achieved, the size of the whole system is small, and the installation and the disassembly are convenient. The whole system is compact in structure, the temperature measurement range is 20-50 ℃, the temperature measurement error is less than 0.5 ℃, the test distance can be changed from 3cm to 200cm, and the alarm temperature threshold can be set within the range of 20-50 ℃. The face data of 10 persons at most can be stored, and the facial features of the tested person can be recorded, learned and identified. The working state of the system can be displayed in real time through the display screen, the functional mode is controlled in real time through the matrix keyboard, and the human-computer interaction is good.
Drawings
Fig. 1 is a block diagram of the overall architecture of the system of an embodiment of the present invention;
the system comprises a temperature measuring module, a 2-infrared temperature measuring module, a 3-environment temperature measuring module, a 4-laser distance measuring module, a 5-camera collecting module, a 6-PYNQ-Z2 development board and a 7-temperature processing module, wherein the temperature measuring module is connected with the temperature measuring module;
fig. 2 is a schematic diagram of a temperature measurement module according to an embodiment of the present invention;
FIG. 3 is a circuit diagram of an infrared thermometry module according to one embodiment of the present invention;
fig. 4 is a circuit diagram of an ambient temperature module measurement circuit according to an embodiment of the present invention;
FIG. 5 is a hardware schematic of the PYNQ-Z2 module of one embodiment of the present invention;
FIG. 6 is a schematic diagram of two sub-modules in a PYNQ-Z2 module according to an embodiment of the invention;
FIG. 7 is a flow diagram of a temperature processing module within the PYNQ-Z2 module of one embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be described clearly and completely below with reference to the embodiments of the present invention, and it is obvious that the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by a person of ordinary skill in the art without creative efforts belong to the protection scope of the present invention.
It should be noted that, in the present invention, the embodiments and features of the embodiments may be combined with each other without conflict.
The present invention will be further described with reference to the following specific examples, which should not be construed as limiting the invention.
The embodiment provides a simple and easy reliable, temperature measurement is accurate, can realize the device of face identification function, has the function that shows measured temperature and measurement area image in real time, and can report to the police when the temperature exceeds standard to can judge whether the tester wears the gauze mask.
The embodiment is realized by the following technical scheme that the PYNQ-Z2-based non-contact temperature measurement and face recognition device comprises a temperature measurement module, a camera acquisition module and a PYNQ-Z2 control module. The temperature measuring module and the camera acquisition module are connected in parallel, the independence of the temperature measuring module and the camera acquisition module is strong, and temperature measuring data and camera acquisition data are respectively input into the PYNQ-Z2 control module to be subjected to temperature and face recognition processing.
And, the temperature measurement module includes ambient temperature measurement module, infrared temperature measurement module and laser rangefinder module. The environment temperature measuring module, the infrared temperature measuring module and the laser ranging module are connected in parallel. The temperature measurement module is horizontally arranged, and the infrared temperature measurement module and the laser ranging module are arranged on the same vertical plane and are close to each other. The environment temperature measuring module is far away from the infrared measuring module and the laser ranging module so as to avoid the interference of the infrared measuring module and the laser ranging module.
The infrared temperature measuring module comprises an infrared thermometer and a high-precision AD conversion chip ADS805, and the purpose of measuring the temperature is achieved by measuring the infrared intensity of radiation of people or objects; the laser ranging module measures the distance from a measured person or object to the laser ranging module by measuring the phase difference between the emitted laser and the received laser. Because the infrared temperature measurement module and the laser distance measurement module are close to and arranged on the same vertical plane, the distance from a measured person or object to the laser distance measurement module can be approximate to the distance from the infrared temperature measurement module; the environment temperature measuring module comprises a temperature sensor LMT70 and an AD conversion chip ADS1118 and is used for measuring the environment temperature in real time. The temperature measuring module, the infrared temperature measuring module and the laser ranging module transmit measured signals to the PYNQ-Z2 control module for processing.
And the camera acquisition module is used for acquiring face data and transmitting the data to the PYNQ-Z2 control module for processing.
And, the PYNQ-Z2 control module includes a PYNQ-Z2 development board, a display screen, and a 3 × 3 matrix keyboard. A temperature processing module and a face recognition processing module are programmed in PYNQ-Z2. The temperature processing module processes signals transmitted by the environment temperature measuring module, the infrared temperature measuring module and the laser ranging module, fits the actual temperature of a measured person or object, and inputs the actual temperature to the display screen for display. Meanwhile, the temperature processing module can also set an alarm temperature, and if the fitted actual temperature exceeds the alarm temperature, an alarm can be given in the display screen; the face recognition module can type in face data and discern the face to whether have the mouth nose characteristic through detecting the face of extraction and judge whether wear the gauze mask, input the display screen with face recognition's result and whether the result of wearing the gauze mask and the image of camera collection at last and show together.
In specific implementation, as shown in fig. 1, the PYNQ-Z2-based non-contact temperature measurement and face recognition device comprises a temperature measurement module 1, a camera acquisition module 5 and a PYNQ-Z2 control module; the temperature measuring module 1 is connected with the camera acquisition module 5 in parallel, and measured data are respectively input into the PYNQ-Z2 control module for processing. The PYNQ-Z2 control module comprises a PYNQ-Z2 development board 6, an OLED display screen and a 3 x 3 matrix keyboard; the PYNQ-Z2 development board 6 includes a temperature processing module 7 and a face recognition module 8.
As shown in fig. 2, the temperature measuring module 1 of the present embodiment includes an ambient temperature measuring module 3, an infrared temperature measuring module 2, and a laser ranging module 4. The infrared temperature measuring module 2 measures the temperature of the tested person or object by measuring the intensity of infrared rays radiated by the tested person or object; the laser ranging module 4 is used for measuring the distance from a tested person or object to the infrared temperature measuring module; the ambient temperature measuring module 3 is used for measuring ambient temperature.
As shown in fig. 3, the infrared temperature measurement module 2 of this embodiment mainly includes an infrared thermometer and an AD conversion chip ADs 80531, and the infrared temperature measurement module 2 converts the infrared intensity emitted by a person or an object to be measured into a current signal for output. The output current signal is converted into a voltage signal through resistors R2 and R6, and is input into an emitter follower OPA690 and a fully differential amplifier THS4151, and the THS4151 converts the input signal into two differential signals and outputs the two differential signals from ports 4 and 5 of the THS 4151. The 4, 5 ports of the THS4151 are buffered with 0 ohm resistors to input differential signals to the 25, 23 ports of the ADS805, respectively. The analog differential signal is converted into a digital signal after passing through the AD805 and is output in parallel from the 2-13 ports of the ADS805, wherein the 2 ports output the most significant bits of the digital signal, and the 13 ports output the least significant bits of the digital signal. The output digital signal is buffered by 0 ohm and then input into the PYNQ-Z2 control module. The SN74LV1T126DBVR chip in the infrared thermometry module 2 is used for converting the clk signal of 3.3V into the clk signal of 3.5V and providing the clk signal to the ADS805 for use.
As shown in fig. 4, the ambient temperature measurement module 3 of the present embodiment includes a temperature sensor lMT 7041 and an AD conversion chip ADs 111842 chip-connected by an OPA 690. LMT70 is a subminiature, high-precision, low-power CMOS analog temperature sensor. Under different temperatures, its pin B1 will output different analog voltage signals, which are input to pin 4 of ADS 1118. The analog voltage signal is converted into a digital signal after passing through the ADS1118 and is input to the PYNQ-Z2 control module in series.
As shown in fig. 5, the PYNQ-Z2 control module of the present embodiment includes a PYNQ development board, an OLED screen, and a 3 × 3 matrix keyboard.
As shown in fig. 6, a temperature processing module 7 and a face recognition processing module 8 are programmed in the PYNQ-Z2 development board, and an ambient temperature measurement signal, an infrared temperature measurement signal and a laser ranging signal are all input into the temperature processing module 8 for processing. Image signals collected by the camera are input into the face recognition processing module 8 for processing. The PYNQ-Z2 development board transmits a temperature measurement result, a result of whether the temperature exceeds the standard, a face recognition result, a result of whether a testee wears a mask and an image acquired by a camera to an OLED screen for display; the 3 x 3 matrix keyboard is used for setting an alarm temperature threshold, a temperature recognition mode and a face recognition mode.
As shown in fig. 7, the flow of the temperature processing module 7 of the present embodiment is as follows: calculating the measured temperature x of the infrared temperature measurement module 2 according to the digital signal input by the infrared temperature measurement module 2; calculating the distance y from the tested person or object to the infrared ranging module according to the phase difference between the laser emitted by the laser ranging module 4 and the laser received by the laser ranging module; and calculating the ambient temperature z according to the digital signal input by the ambient temperature measuring module 3. The temperature of the person being measured is not exactly the same as the temperature of the object being measured. The common temperature measurement is to measure the surface temperature, and the object to be measured only needs to measure the surface temperature of the object. When measuring the temperature of a person, it is actually the internal temperature of the person that is measured, and a lift is required on the measured surface temperature. Therefore, a matrix keyboard is required to select the thermometry mode. And performing different fitting on the three variables x, y and z in the human measurement mode and the object measurement mode, and sending the fitted human or object temperature to an OLED screen for display. And finally, judging whether the measured temperature exceeds a preset temperature threshold value or not, and sending the result to an OLED screen for display.
The above is merely a preferred embodiment of the present invention, and not intended to limit the scope and the range of the present invention, and those skilled in the art should be able to realize that all the equivalent substitutions and obvious changes made by the present invention description should be included in the scope of the present invention.
Claims (1)
1. A PYNQ-Z2-based non-contact temperature measurement and face recognition device is characterized by comprising a temperature measurement module, a camera acquisition module and a PYNQ-Z2 control module; the temperature measuring module is connected with the camera acquisition module in parallel and then connected with the PYNQ-Z2 control module; the temperature measuring module comprises an ambient temperature measuring module, an infrared temperature measuring module and a laser ranging module which are connected in parallel, the temperature measuring module is horizontally arranged, and the infrared temperature measuring module and the laser ranging module are closely arranged on the same vertical plane; the environment temperature measuring module is arranged at a certain distance away from the infrared measuring module and the laser ranging module; the PYNQ-Z2 control module comprises a PYNQ-Z2 development board, an OLED display screen and a 3 x 3 matrix keyboard, wherein the PYNQ-Z2 development board is respectively connected with the OLED display screen and the 3 x 3 matrix keyboard;
the infrared temperature measurement module comprises an infrared thermometer, an AD conversion chip ADS805, an emitter follower OPA690, a full differential amplifier THS4151, an SN74LV1T126DBVR chip and a peripheral circuit; the emitter follower OPA690 is connected with the fully differential amplifier THS4151, the fully differential amplifier THS4151 is connected with the AD conversion chip ADS805, and the AD conversion chip ADS805 is connected with the SN74LV1T126DBVR chip;
the environment temperature measuring module comprises a temperature sensor LMT70, an AD conversion chip ADS1118 and an OPA690 chip, wherein the temperature sensor LMT70 and the AD conversion chip ADS1118 are both connected with the OPA690 chip;
the PYNQ-Z2 development board comprises a temperature processing module and a face recognition module; the temperature processing module is respectively connected with the environment temperature measuring module, the infrared temperature measuring module and the laser ranging module, and the camera acquisition module is connected with the face recognition module; calculating the measured temperature x of the infrared temperature measurement module according to the digital signal input by the infrared temperature measurement module; calculating the distance y from the tested person or object to the infrared ranging module according to the phase difference between the laser transmitted by the laser ranging module and the laser received by the laser ranging module; calculating the ambient temperature z according to the digital signal input by the ambient temperature measuring module; and carrying out different fitting on the three variables x, y and z in the people measuring mode and the object measuring mode, sending the fitted temperature of people or objects to an OLED screen for display, judging whether the measured temperature exceeds a preset temperature threshold value or not, and displaying the result through the OLED screen.
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| CN202023005752.7U CN213985389U (en) | 2020-12-14 | 2020-12-14 | PYNQ-Z2-based non-contact temperature measurement and face recognition device |
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| CN202023005752.7U CN213985389U (en) | 2020-12-14 | 2020-12-14 | PYNQ-Z2-based non-contact temperature measurement and face recognition device |
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