CN111466892A - Remote temperature measurement system and method based on thermal imaging and face recognition - Google Patents
Remote temperature measurement system and method based on thermal imaging and face recognition Download PDFInfo
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Abstract
The invention provides a remote temperature measurement system and method based on thermal imaging and face recognition, which can be used for rapidly and accurately detecting the temperature of people flow in real time aiming at a large scene with large people flow and complex conditions. The device and the method provided by the invention utilize a thermal imager to synchronously acquire the body temperature of a human body in a large scene, utilize a distance measuring probe to measure the distance from an object to a sensor, transmit data to an upper computer through a serial port module for information processing, combine a temperature correction processing algorithm to obtain temperature information of all positions in a monitoring range, capture all human faces appearing in a picture through a face recognition algorithm, and combine the known temperature information according to the position coordinates of the human faces in the monitoring process to realize real-time temperature measurement of all the human faces appearing in the monitoring process.
Description
Technical Field
The invention belongs to the field of human body temperature detection, and particularly relates to a temperature measurement system with a human-computer interaction interface and a method for realizing large-scene, high-precision and real-time temperature measurement through thermal imaging and face recognition.
Background
Nowadays, the method for rapidly detecting the body temperature of a human body mainly depends on an infrared temperature sensor and realizes the measurement of the body temperature according to the infrared energy emitted by the human body. The product that drops into wide application at present mainly has the forehead thermometer and the fixed infrared radiation thermometer who settles in floodgate aircraft nose department, but both have certain defect, and the former can only measure single target at every turn, and inefficiency just is not suitable for the big scene of passenger flow dispersion, and the latter is through carrying out the analysis to the thermal imaging parameter of shooing crowd, and it is difficult to accomplish accurate detection and can't guarantee higher simultaneous measurement number standard under the condition that a plurality of targets are close to too densely.
At present, as the sensor has the advantages of small volume, easy maintenance and capability of being combined with a network technology and a software platform, along with the high-speed development of the computer technology, the temperature measurement method based on the infrared sensor and the computer data processing technology is more and more applied in various scenes. However, there is no device and method for detecting the temperature of the people stream in real time, rapidly and accurately in the prior art for large scenes with large people flow and complex situations.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a device and a method for detecting the temperature of the pedestrian flow in real time, rapidly and accurately aiming at a large scene with large pedestrian flow and complex conditions. The device and the method provided by the invention utilize a thermal imager to synchronously acquire the body temperature of a human body in a large scene, utilize a distance measuring probe to measure the distance from an object to the thermal imager, transmit data to an upper computer through a serial port module to perform information processing, combine a temperature correction processing algorithm to obtain temperature information of all positions in a monitoring range, capture all human faces appearing in a picture through a face recognition algorithm, and combine the known temperature information according to the position coordinates of the human faces in the monitoring process to realize real-time temperature measurement of all the human faces appearing in the monitoring process.
The invention is realized by the following technical scheme:
a remote temperature measurement system based on thermal imaging and face recognition comprises a thermal imager, a data transmission serial port module, an information processing module, a temperature correction module, a storage module, a video monitor, a face recognition module and a UI terminal; wherein: the system comprises an information processing module, a temperature correction module, a storage module, a video monitoring module, a face recognition module and a UI terminal, wherein the information processing module, the temperature correction module, the storage module, the video monitoring module and the face recognition module are installed in a computer to operate, a thermal imager is connected with the computer through a data transmission serial port module, and the video monitoring module is connected with the computer through data transmission equipment.
The thermal imager is used for acquiring temperature data of a target to be measured;
the data transmission serial port module is used for transmitting the temperature data acquired by the thermal imager to the information processing module;
the information processing module is used for processing the temperature data acquired by the thermal imager;
the temperature correction module is used for carrying out temperature correction on the data transmitted by the information processing module and improving the precision;
the storage module is used for storing the data transmitted by the temperature correction module;
the video monitoring is used for shooting a real-time monitoring picture and forming a video stream;
the face recognition module is used for capturing faces appearing in pictures of video streams shot by video monitoring;
the UI terminal is used for displaying thermal imaging and video monitoring pictures, displaying data and displaying alarms.
Furthermore, the thermal imager and the video monitoring camera are installed together, so that a monitoring picture is matched with a thermal imaging display picture, the thermal imaging and the monitoring video picture are displayed on a UI terminal window, and the thermal imaging and the monitoring video picture have the same range size and are in one-to-one correspondence. Because the thermal imager and the camera can be used for displaying pictures, the purpose of synchronous display of the thermal imager and the camera is to enable the temperature in the video of the camera to be displayed more visually, and secondly, the pictures are overlapped as much as possible, so that the precision can be improved in a subsequent monitoring picture segmentation program. The term "mounted together" means that the thermal imager is mounted around the camera head and is adjacent to the camera head, and the two are not required to be directly connected.
The system further comprises a distance measuring probe used for measuring the distance from the target to be measured to the thermal imager, transmitting the measured distance data to a data processing center through the data transmission serial port module for information processing, and transmitting the distance data to the temperature correction module for temperature correction.
A remote temperature measurement method based on thermal imaging and face recognition comprises the following steps:
step 1: acquiring body temperature data of a target to be detected in a large scene by using thermal imaging, and generating a video stream of a video monitoring picture in a range to be detected by using video monitoring;
step 2: measuring the distance from a target to be measured to a thermal imager, or judging the distance according to the size of a human face in a video monitoring picture through a human face detection algorithm, then transmitting distance data, body temperature acquisition data and a video stream to a data processing center for information processing, and combining a temperature correction processing algorithm to obtain temperature information of all positions in a range to be measured; the distance measuring probe can be used for measuring the distance between the target to be measured and the thermal imager, and in practice, because the thermal imager and the video monitoring camera are positioned at the same position and the monitoring ranges displayed on a computer are also matched, the distance can be judged according to the size of the face in the video through a face detection algorithm, so that the hardware cost can be saved; the face detection algorithm can adopt all mature algorithms which can realize technical effects in the prior art, such as libfacedetection algorithm, is an open source face recognition library and can be directly called; the temperature correction processing algorithm can adopt all mature algorithms which can realize technical effects in the prior art, and the working principle is as follows: the temperature data monitored by the thermal imager has certain deviation, and data fitting is carried out by measuring the measured temperature and the actual temperature of the sensor in the thermal imager and the human face at different distances, so that the precision correction can be carried out on the transmitted preliminary temperature value.
And step 3: capturing the faces of all targets to be detected appearing in the picture of the video stream generated by video monitoring through a face recognition algorithm, and realizing real-time temperature measurement of all the faces appearing in the monitoring by combining the temperature data collected in the step 1 according to the position coordinates of the faces in the video monitoring. The video surveillance presents a picture as a two-dimensional plane, where the "coordinates" refer to the pixel locations of the human face in the picture, which can be obtained by an algorithm.
Further, the method for measuring the temperature of all the faces appearing in the monitoring in real time in the step 3 comprises the following steps: dividing the video monitoring picture into 768 areas of 32 × 24, obtaining the corresponding temperature of the coordinates of any area according to the temperature information of all the positions in the range to be measured obtained in the step 2, storing the temperature data arrays of each group of 768 data, comparing the corresponding temperature values in the area covered by the face in the picture according to the position coordinates of the face in the video monitoring picture, and taking the highest temperature as the final temperature data; the determined final temperature data can be displayed on a face frame, so that monitoring and statistics are facilitated. Compared with a method for directly detecting the temperature of a specified area, the method greatly simplifies the algorithm complexity, and can realize quick, real-time, accurate and simultaneous monitoring of a plurality of human body temperatures.
Further, after the step 3, the method further comprises a step 4: and (3) automatically detecting and framing a human face in a video monitoring area of the final display terminal, marking the real-time body temperature finally measured in the step (3) into a human face frame in a video picture, and if the body temperature display exceeds a set threshold, giving an alarm. For example, the temperature is usually set to 37 degrees celsius, and an alarm may be issued in various ways, for example, the warning purpose may be achieved by continuously flashing a face frame.
The system provided by the invention combines applications of thermal imaging, image video processing, face recognition and the like, can realize monitoring and temperature measurement integration, ensures that the face appearing on the monitoring can be captured in time, and further ensures a higher simultaneous measurement population standard.
Drawings
FIG. 1 is a schematic diagram of a temperature measurement system based on thermal imaging and face recognition
In the figure: the method comprises the following steps of 1-a thermal imager, 2-a data transmission serial port module, 3-video monitoring, 4-an information processing module, 5-a temperature correction module, 6-a storage module, 7-a face recognition module, 8-a UI terminal and 9-a computer.
Detailed Description
In this section, the invention will be further explained and illustrated with reference to specific embodiments:
example 1
A remote temperature measurement system based on thermal imaging and face recognition comprises a thermal imager 1, a data transmission serial port module 2, an information processing module 4, a temperature correction module 5, a storage module 6, a video monitor 3, a face recognition module 7 and a UI terminal 8; wherein: the information processing module 4, the temperature correction module 5, the storage module 6, the video monitor 3, the face recognition module 7 and the UI terminal 8 are installed in a computer 9 to operate, the thermal imager 1 is connected with the computer 9 through a data transmission serial port module 2, and the video monitor 3 is connected with the computer 9 through data transmission equipment.
The thermal imager 1 is used for acquiring temperature data of a target to be measured;
the data transmission serial port module 2 is used for transmitting the temperature data acquired by the thermal imager to the information processing module;
the information processing module 4 is used for processing the temperature data acquired by the thermal imager;
the temperature correction module 5 is used for carrying out temperature correction on the data transmitted by the information processing module and improving the precision;
the storage module 6 is used for storing the data transmitted by the temperature correction module;
the video monitor 3 is used for shooting a real-time monitoring picture and forming a video stream;
the face recognition module 7 is used for capturing faces appearing in pictures of video streams shot by video monitoring;
the UI terminal 8 is used to display thermal imaging, video monitoring pictures, display data, and display alarms.
For the whole temperature measurement system, the temperature data is from the thermal imaging system, and the temperature correction module 5, the storage module 6, the face recognition module 7 and the UI terminal 8 all complete the work on the computer 9.
The working process of the system is as follows:
step 1: acquiring body temperature data of a target to be detected in a large scene by using a thermal imager, and generating a video stream of a video monitoring picture in a range to be detected by using video monitoring;
step 2: measuring the distance from a target to be measured to a thermal imager, transmitting distance data, body temperature acquisition data and a video stream to an information processing module through a data transmission serial port module for information processing, then transmitting the information to a temperature correction module, and operating a temperature correction processing algorithm to obtain temperature information of all positions in a range to be measured;
and step 3: and (2) capturing the faces of all targets to be detected appearing in the picture of the video stream generated by video monitoring by operating a face recognition algorithm through a face recognition module, and realizing real-time temperature measurement of all the faces appearing in the monitoring by combining the temperature data acquired in the step (1) according to the position coordinates of the faces in the video monitoring.
And 4, step 4: and (3) automatically detecting and framing a face in a video monitoring area of the UI terminal, marking the real-time body temperature finally measured in the step (3) into a face frame in a video picture, and if the body temperature is displayed to exceed 37 ℃, giving an alarm in various modes, for example, the aim of early warning can be achieved by continuously flashing the face frame.
Example 2
The present embodiment is different from embodiment 1 in that: the thermal imager 1 and the camera of the video monitor 3 are installed together, so that a monitoring picture is matched with a thermal imaging display picture, the thermal imaging and the monitoring video picture are displayed on a window of the UI terminal 8, and the thermal imaging and the monitoring video pictures are in the same range and are in one-to-one correspondence. Because the thermal imager and the camera can be used for displaying pictures, the purpose of synchronous display of the thermal imager and the camera is to enable the temperature in the video of the camera to be displayed more visually, and secondly, the pictures are overlapped as much as possible, so that the precision can be improved in a subsequent monitoring picture segmentation program. The term "mounted together" means that the thermal imager is mounted around the camera head and is adjacent to the camera head, and the two are not required to be directly connected.
Because thermal imaging camera and video surveillance camera head are in the same position, the monitoring range that appears on the computer also matches, in the work step 2 that adopts the device to carry out remote temperature measurement: because the thermal imager and the video monitoring camera are positioned at the same position and the monitoring ranges presented on the computer are also matched, the distance can be judged according to the size of the face in the video through a face detection algorithm, and the hardware cost can be saved; the face detection algorithm can adopt all mature algorithms which can realize technical effects in the prior art, such as libfacedetection algorithm, is an open source face recognition library and can be directly called.
Example 3
The present embodiment is different from embodiment 2 in that: the system also comprises a distance measuring probe used for measuring the distance from the target to be measured to the thermal imager, transmitting the measured distance data to the data processing center through the data serial port module for information processing, and transmitting the distance data to the temperature correction module for temperature correction.
In the working step 2 of adopting the device to carry out remote temperature measurement: and measuring the distance between the target to be measured and the thermal imager by using the ranging probe.
Example 4
A remote temperature measurement method based on thermal imaging and face recognition comprises the following steps:
step 1: acquiring body temperature data of a target to be detected in a large scene by using thermal imaging, and generating a video stream of a video monitoring picture in a range to be detected by using video monitoring;
step 2: measuring the distance from a target to be measured to a thermal imager, or judging the distance according to the size of a human face in a video monitoring picture through a human face detection algorithm, then transmitting distance data, body temperature acquisition data and a video stream to a data processing center for information processing, and combining a temperature correction processing algorithm to obtain temperature information of all positions in a range to be measured; the distance measuring probe can be used for measuring the distance between the target to be measured and the thermal imager, and in practice, the thermal imager and the video monitoring camera are located at the same position, so that the monitoring ranges presented on a computer are matched, the distance can be judged according to the size of the face in the video through a face detection algorithm, and the hardware cost can be saved.
The face detection algorithm can adopt all mature algorithms which can realize technical effects in the prior art, such as libfacedetection algorithm, is an open source face recognition library and can be directly called, and the ibfacedetection face detection algorithm library uses an SSD network framework. The SSD algorithm is a multi-target detection algorithm for directly predicting target types and bounding boxes, a traditional image pyramid is abandoned, feature maps of different convolutional layers are utilized for synthesis, detection results are allowed to be predicted from the feature maps of all levels of the CNN, and objects with different sizes can be well detected. The ibfacedetection library defines a face detection CNN model and then performs deep learning convolution operation, and high-speed face detection effect can be realized by combining model data;
the temperature correction processing algorithm can adopt all mature algorithms which can realize technical effects in the prior art, and the working principle is as follows: the temperature data monitored by the thermal imager has certain deviation, and data fitting is carried out by measuring the measured temperature and the actual temperature of the sensor in the thermal imager and the human face at different distances, so that the precision correction can be carried out on the transmitted preliminary temperature value.
And step 3: capturing the faces of all targets to be detected appearing in the picture of the video stream generated by video monitoring through a face recognition algorithm, and realizing real-time temperature measurement of all the faces appearing in the monitoring by combining the temperature data collected in the step 1 according to the position coordinates of the faces in the video monitoring. The video surveillance presents a picture as a two-dimensional plane, where the "coordinates" refer to the pixel locations of the human face in the picture, which can be obtained by an algorithm.
Example 5
This embodiment is different from embodiment 4 in that: the method for measuring the temperature of all the faces appearing in the monitoring in real time in the step 3 comprises the following steps: dividing the video monitoring picture into 768 areas of 32 × 24, obtaining the corresponding temperature of the coordinates of any area according to the temperature information of all the positions in the range to be measured obtained in the step 2, storing an array of 768 data in each group, comparing the corresponding temperature values in the area covered by the face in the picture according to the position coordinates of the face in the video monitoring picture, taking the highest temperature as the final temperature data, and displaying the determined final temperature data on the face frame, thereby being convenient for monitoring and counting.
The specific process is as follows: the output data of the thermal imaging system is in the form of a group of 768 values corresponding to 32 x 24 positions in a monitoring area, for the temperature values transmitted by the thermal imaging system, the temperature correction module performs data fitting by measuring the measured temperature and the actual temperature of a single sensor and a human face at different distances, performs precision correction on the transmitted initial temperature values, the 768 temperature values respectively correspond to different positions (32 x 24) in a monitoring picture with the same monitoring area as the thermal imaging system, stores the 768 data into a group, and transmits the 768 data to the storage module in real time to wait for calling.
The monitoring camera transmits shot video stream to a computer, a face recognition module carries out face recognition on the video stream frame by frame, all faces appearing in a picture are marked, meanwhile, a monitoring picture is divided into 768 areas of 32 x 24 (the monitoring range of the monitoring picture corresponds to the monitoring range of a thermal imaging system, the 768 areas of the picture correspond to 768 corrected temperature data one by one), and the number of the areas covered by the face frame in the picture is calculated according to the position coordinates of the face frame in the picture. At the moment, the face recognition module starts to call the temperature data received in the storage module, extracts the numerical value corresponding to the number of the covered area from the 768 numerical values, and takes the highest data as the final temperature to be marked on a face frame in the video stream. And finally output to the display interface 1.
Compared with a method for directly detecting the temperature of a specified area, the method greatly simplifies the algorithm complexity, and can realize quick, real-time, accurate and simultaneous monitoring of a plurality of human body temperatures.
Example 6
This embodiment is different from embodiment 4 in that: after the step 3, the method also comprises a step 4: and (3) automatically detecting and framing a face in a video monitoring area of the final display terminal, marking the real-time body temperature finally measured in the step (3) into a face frame in a video picture, and if the body temperature is displayed to exceed 37 ℃, giving an alarm in various modes, for example, the face frame can continuously flash to achieve the aim of early warning.
The system provided by the invention combines the applications of image video processing, face recognition and the like, realizes monitoring and temperature measurement integration through a thermal imager, ensures that the face appearing on the monitoring can be captured in time, and further ensures a higher simultaneous measurement population standard.
Claims (6)
1. The utility model provides a remote temperature measurement system based on thermal imaging and face identification which characterized in that: the system comprises a thermal imager (1), a data transmission serial port module (2), an information processing module (4), a temperature correction module (5), a storage module (6), a video monitor (3), a face recognition module (7) and a UI terminal (8); wherein: the system is characterized in that the information processing module (4), the temperature correction module (5), the storage module (6), the video monitor (3), the face recognition module (7) and the UI terminal (8) are installed in a computer (9) to operate, the thermal imager (1) is connected with the computer (9) through the data transmission serial port module (2), and the video monitor (3) is connected with the computer (9) through data transmission equipment.
2. A remote thermometry system based on thermal imaging and face recognition as claimed in claim 1, wherein: the thermal imager (1) and the camera of the video monitor (3) are installed together, so that a monitoring picture is matched with a thermal imaging display picture, the thermal imaging and the monitoring video picture are displayed on a UI terminal window, and the thermal imaging and the monitoring video picture have the same range size and are in one-to-one correspondence.
3. A remote thermometry system based on thermal imaging and face recognition as claimed in claim 2, wherein: the system also comprises a distance measuring probe used for measuring the distance from the target to be measured to the thermal imager (1).
4. A remote temperature measurement method based on thermal imaging and face recognition is characterized in that: the method comprises the following steps:
step 1: acquiring body temperature data of a target to be detected in a large scene by using thermal imaging, and generating a video stream of a video monitoring picture in a range to be detected by using video monitoring;
step 2: measuring the distance from a target to be measured to a thermal imager, or judging the distance according to the size of a human face in a video monitoring picture through a human face detection algorithm, then transmitting distance data, body temperature acquisition data and a video stream to a data processing center for information processing, and combining a temperature correction processing algorithm to obtain temperature information of all positions in a range to be measured;
and step 3: capturing the faces of all targets to be detected appearing in the picture of the video stream generated by video monitoring through a face recognition algorithm, and realizing real-time temperature measurement of all the faces appearing in the monitoring by combining the temperature data collected in the step 1 according to the position coordinates of the faces in the video monitoring.
5. A method of remote thermometry based on thermal imaging and face recognition as claimed in claim 4, wherein: the method for measuring the temperature of all the faces appearing in the monitoring in real time in the step 3 comprises the following steps: dividing the video monitoring picture into 768 areas of 32 × 24, obtaining the corresponding temperature of the coordinates of any area according to the temperature information of all the positions in the range to be measured obtained in the step 2, storing the temperature data arrays of each group of 768 data, comparing the corresponding temperature values in the area covered by the face in the picture according to the position coordinates of the face in the video monitoring picture, and taking the highest temperature as the final temperature data.
6. A method for remote thermometry based on thermogenesis and face recognition as claimed in claim 4 or 5, wherein: after the step 3, the method also comprises a step 4: and (3) automatically detecting and framing a human face in a video monitoring area of the final display terminal, marking the real-time body temperature finally measured in the step (3) into a human face frame in a video picture, and if the body temperature display exceeds a set threshold, giving an alarm.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112097915A (en) * | 2020-09-10 | 2020-12-18 | 江西省桑格尔电子有限公司 | Face recognition temperature measurement method and device |
| CN114143499A (en) * | 2020-08-13 | 2022-03-04 | 比亚迪股份有限公司 | Body temperature detection method in monitoring system and monitoring system |
| CN115096448A (en) * | 2022-08-26 | 2022-09-23 | 深圳市景新浩科技有限公司 | Infrared temperature measurement system based on internet |
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2020
- 2020-06-02 CN CN202010487856.1A patent/CN111466892A/en active Pending
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114143499A (en) * | 2020-08-13 | 2022-03-04 | 比亚迪股份有限公司 | Body temperature detection method in monitoring system and monitoring system |
| CN112097915A (en) * | 2020-09-10 | 2020-12-18 | 江西省桑格尔电子有限公司 | Face recognition temperature measurement method and device |
| CN115096448A (en) * | 2022-08-26 | 2022-09-23 | 深圳市景新浩科技有限公司 | Infrared temperature measurement system based on internet |
| CN115096448B (en) * | 2022-08-26 | 2022-12-06 | 深圳市景新浩科技有限公司 | Infrared temperature measurement system based on internet |
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