A face temperature measurement terminal for automatically capturing faces

Abstract

The present invention relates to the field of face recognition technology, and particularly to a face temperature measurement terminal for automatically capturing faces; the present invention includes a door frame, a gate provided on the door frame, and a camera provided on the door frame. A first driving component for driving the movement of the gate is provided on the door frame, and a second driving component for driving the movement of the camera is also provided on the door frame. The shooting end of the camera is provided with a high-definition camera module, an infrared camera module, and a laser ranging module. The interior of the camera is embedded with a CPU, a GPU, a storage module, and a wireless module. The first driving component, the second driving component, and the camera are all controlled by a computer; the present invention can effectively solve the problems of single function of current forehead thermometers or other temperature measurement devices, the need to consume manpower, increase the probability of disease infection, or negative temperature measurement, etc.

Description

Technical Field

[0001] The present invention relates to the technical field of face recognition, and particularly to a face temperature measurement terminal for automatically capturing faces. Background Art

[0002] With the continuous development of globalization, the continuous progress of technology, as well as the increase in biological drug resistance and biological evolution mechanisms, the market demand for disease discrimination has increased rapidly. A good way is to measure body temperature. However, traditional temperature measurement devices such as forehead thermometers only have a single temperature measurement function, and a large amount of manpower is required to intercept and measure body temperature, and contact also increases the possibility of infection.

[0003] The existing solution is to use a traditional forehead thermometer for close-contact interception and temperature measurement. However, in addition to having a single function, it requires a large amount of social human resources, and there are negative temperature measurement and non-standard temperature measurement operations by personnel, increasing the cost of body temperature measurement and increasing the possibility of infection. Summary of the Invention

[0004] In view of the above-mentioned drawbacks of the prior art, the present invention provides a face temperature measurement terminal for automatically capturing faces, which can effectively solve the problems of single function of current forehead thermometers or other temperature measurement devices, manpower consumption, increased disease infection probability, or negative temperature measurement.

[0005] To achieve the above object, the present invention adopts the following technical solutions: A face temperature measurement terminal for automatically capturing faces, comprising a door frame, a gate provided on the door frame, and a camera provided on the door frame;

[0006] A negative pressure component is provided at the ground at the entrance end of the door frame;

[0007] A first driving component for driving the movement of the gate is provided on the door frame;

[0008] A second driving component for driving the movement of the camera is further provided on the door frame. The shooting end of the camera is provided with a high-definition camera module, an infrared camera module, and a laser ranging module. The inside of the camera is embedded with a CPU, a GPU, a storage module, and a wireless module;

[0009] The first driving component, the second driving component, and the camera are all controlled by a computer.

[0010] Furthermore, protective fences are provided at both ends of the door frame.

[0011] Furthermore, gates are provided at the inner ends of the rods where the door frame is perpendicular to the ground; the first driving assembly includes a hinge seat provided on the door frame and a rotary solenoid valve provided on the hinge seat. The output shaft of the rotary solenoid valve is fixedly connected to the gate installed on the hinge seat, and the central axis of the output shaft of the rotary solenoid valve is perpendicular to the ground; the height of the upper end of the gate in the vertical direction is controlled by a computer;

[0012] A groove is formed in the ground at the entrance end of the door frame;

[0013] The negative pressure assembly includes a grid plate installed at the upper notch of the groove, a housing installed at the lower notch of the groove, an air multiplier tube installed inside the housing, an air outlet pipe provided on the housing, and a negative pressure pump provided at the end of the air outlet pipe.

[0014] Furthermore, the gate is in an L shape, and an electric telescopic rod and a set of guiding telescopic rods are provided side by side on the gate. The tops of the electric telescopic rod and the guiding telescopic rods are both fixedly connected to a baffle plate whose plate surface is parallel to the plate surface of the gate;

[0015] The air suction port and the air outlet of the air multiplier tube are respectively at the upper end and the lower end in the vertical direction. The air multiplier tube is connected to the output end of a centrifugal air compressor outside the housing through an air inlet pipe. A one-way tube is further provided at the output end of the negative pressure pump, and a filtering device is provided at the end of the one-way tube.

[0016] Furthermore, when the electric telescopic rod is in a fully retracted state, the height of the upper end of the baffle plate from the ground is within the range of [0.7 m, 1.2 m]. When the electric telescopic rod is in a fully extended state, the height of the upper end of the baffle plate from the ground is within the range of (1.2 m, 1.6 m];

[0017] A Tesla one-way valve structure is provided inside the one-way tube, and an activated carbon filter element is provided inside the filtering device.

[0018] Furthermore, the second driving assembly includes a vertical direction driving component, a horizontal direction driving component, and an angle pitching driving component;

[0019] The vertical direction driving component includes track plates provided on both sides at the outlet end of the door frame, a first slider slidably connected to the track plates, a screw rod rotatably connected to the track plates and screwed to the first slider, and a servo motor provided at the end of the track plates and driving the screw rod to rotate;

[0020] The horizontal direction driving component includes a guide rail erected between two first sliders, a second slider slidably connected to the guide rail, and a stepping motor provided on the second slider. The gear installed on the output shaft of the stepping motor meshes with the rack on the guide rail;

[0021] The angle pitching drive assembly includes a rotating seat provided at the lower end of the second slider and a rotating motor provided on the rotating seat and driving the camera to rotate, and the central axis of the output shaft of the rotating motor is parallel to the stroke direction of the guide rail.

[0022] Furthermore, the CPU is provided with a face detection module, a face recognition module, a body temperature detection module, a UI module, a room temperature automatic calibration module, a ranging algorithm, and a compensation algorithm;

[0023] The GPU is configured with a face detection algorithm, a face recognition algorithm, a live body detection algorithm, and an ornament recognition algorithm;

[0024] The storage module includes a cache unit and a memory unit.

[0025] Furthermore, an auxiliary monitor is also provided at the top of the door frame, and the shooting angle of the auxiliary monitor faces one end of the entrance side of the door frame; a display screen is also provided at the top of one end of the entrance side of the door frame, and both the auxiliary monitor and the display screen are controlled by a computer; a monitor is also signal-connected to the computer.

[0026] Furthermore, the computer is connected to the cloud server through a dedicated secure channel.

[0027] Furthermore, a marking line matching the auxiliary monitor is also drawn on the ground on one side of the entrance end of the door frame.

[0028] Compared with the prior art, the advantages and positive effects of the present invention are as follows:

[0029] By adding a door frame and a guardrail, the present invention has a first drive assembly for adjusting the height of the gate on the door frame, an auxiliary monitor and a display screen are also provided at the top of the door frame, a second drive assembly for adjusting the spatial position and shooting angle of the camera is also provided on the door frame, a high-definition camera module, an infrared camera module, and a laser ranging module are provided at the shooting end of the camera, and a CPU, a GPU, a storage module, and a wireless module are embedded inside the camera. The CPU is provided with a face detection module, a face recognition module, a body temperature detection module, a UI module, a room temperature automatic calibration module, a ranging algorithm, and a compensation algorithm, and the GPU is configured with a face detection algorithm, a face recognition algorithm, a live body detection algorithm, and an ornament recognition algorithm.

[0030] In this way, the computer can conduct preliminary detection on passing personnel through auxiliary monitoring (detection items include but are not limited to: whether there are parallel passing personnel, live body detection, height of the personnel waiting to pass, whether the personnel waiting to pass are within the marking line, etc.); then the computer makes the baffle on the gate move to a specified height through the electric telescopic rod (the height of the upper end of the baffle is lower than the shoulders of the personnel waiting to pass, so as to ensure that the camera can completely capture the face of the personnel waiting to pass), and at the same time, the computer instructs the second driving motor to make the shooting end of the camera face the face of the personnel waiting to pass; then the forehead temperature of the personnel waiting to pass is measured through the infrared imaging module on the camera (during this process, the computer measures the straight-line distance between the infrared imaging module and the forehead of the personnel waiting to pass through the laser ranging module, and then substitutes the measured distance into the compensation algorithm to compensate and correct the temperature value measured by the infrared imaging module). If the measured body temperature is normal, the computer instructs the gate to rotate and open. If the measured body temperature is abnormal, the computer instructs the gate to remain closed, and at the same time, the computer instructs the display screen and the monitor to give an alarm; when the passing personnel pass normally, the computer immediately instructs the gate to close, and at the same time, the electric telescopic rod and the second driving component return to their original positions.

[0031] Thus, the effects of accurate temperature measurement, reduction of labor costs, reduction of the infection probability, and avoidance of passive temperature measurement are achieved. Brief Description of the Drawings

[0032] Figure 1 Is the perspective view of the first angle of the present invention;

[0033] Figure 2 Is the exploded view of the door frame, the gate and the camera from the second angle of the present invention;

[0034] Figure 3 Is the exploded view of the second driving component and the camera from the third angle of the present invention;

[0035] Figure 4 Is Figure 1 The enlarged view of area A in

[0036] Figure 5 Is the internal module relationship diagram of the CPU and GPU in the present invention;

[0037] Figure 6 Is the exploded view of the negative pressure component from the fourth angle of the present invention;

[0038] Figure 7 Is the cross-sectional view of the filter device in the present invention;

[0039] Figure 8 Is the cross-sectional view of the air multiplier tube in the present invention;

[0040] Figure 9 Is the cross-sectional view of the one-way tube in the present invention;

[0041] The reference numerals in the figure respectively represent: 1 - door frame; 2 - gate; 3 - camera; 4 - high-definition camera module; 5 - infrared camera module; 6 - laser ranging module; 7 - CPU; 8 - GPU; 9 - storage module; 10 - wireless module; 11 - computer; 12 - guardrail; 13 - hinge seat; 14 - rotary solenoid valve; 15 - electric telescopic rod; 16 - guiding telescopic rod; 17 - baffle; 18 - track plate; 19 - first slider; 20 - screw; 21 - servo motor; 22 - guide rail; 23 - second slider; 24 - stepper motor; 25 - gear; 26 - rack; 27 - rotating seat; 28 - rotating motor; 29 - auxiliary monitoring; 30 - display screen; 31 - monitor; 32 - marking line; 33 - grid plate; 34 - housing; 35 - air multiplier; 36 - air outlet pipe; 37 - negative pressure pump; 38 - centrifugal air compressor; 39 - one-way pipe; 40 - filtering device; 41 - activated carbon filter element. Specific embodiments

[0042] In order to more clearly understand the above-mentioned objects, features and advantages of the present invention, the present invention will be further described below with reference to the accompanying drawings and embodiments. It should be noted that, without conflict, the embodiments of the present application and the features in the embodiments can be combined with each other.

[0043] In the following description, many specific details are set forth in order to fully understand the present invention. However, the present invention can also be implemented in other ways different from those described herein. Therefore, the present invention is not limited by the specific embodiments disclosed in the following specification.

[0044] A face temperature measurement terminal for automatically capturing faces in this embodiment, referring to Figures 1-9 : It includes a door frame 1, a gate 2 provided on the door frame 1, and a camera 3 provided on the door frame 1.

[0045] The first driving assembly, the second driving assembly and the camera 3 are all controlled by the computer 11. In this embodiment, the computer 11 uses a portable laptop computer because the portable laptop computer has obvious portability advantages compared with a desktop computer.

[0046] The computer 11 is connected to the cloud server through a dedicated secure channel, so as to effectively ensure that the communication information between the computer 11 and the cloud server is not stolen and leaked. (I)

[0048] A first driving assembly for driving the movement of the gate 2 is provided on the door frame 1.

[0049] (I - I)

[0050] At the inner ends of the vertical rods of the door frame 1, there are gates 2 installed; the first driving assembly includes a hinge seat 13 provided on the door frame 1 and a rotary solenoid valve 14 provided on the hinge seat 13. The output shaft of the rotary solenoid valve 14 is fixedly connected to the gate 2 installed on the hinge seat 13, and the central axis of the output shaft of the rotary solenoid valve 14 is perpendicular to the ground. That is, the two gates 2 on the door frame 1 form a swing gate, and the direction when the gate 2 rotates open is towards the exit end of the door frame 1.

[0051] It should be noted that the working states of the two rotary solenoid valves 14 on the door frame 1 are kept synchronized, that is, the states of the two gates 2 always remain the same.

[0052] (One - Two)

[0053] At both ends of the door frame 1, there are guardrails 12 installed. This can effectively regulate the order of people during passage (that is, let the passing people queue up orderly), and at the same time, the strict queuing order can also improve the travel safety of passengers (because it avoids stampede accidents caused by passenger congestion).

[0054] (One - Three)

[0055] The height of the upper end of the gate 2 in the vertical direction is controlled by the computer 11; such a design allows the computer 11 to adjust the height of the gate 2 according to the height of the person to pass, so as to facilitate the camera 3 to capture the face of the person to pass without reducing the blocking performance of the gate 2.

[0056] Among them, the specific implementation method for the adjustable height of the gate 2 is as follows: the gate 2 is in an L shape, and an electric telescopic rod 15 and a set of guiding telescopic rods 16 are arranged side by side on the gate 2. The tops of the electric telescopic rod 15 and the guiding telescopic rods 16 are both fixed on a baffle 17 whose plate surface is parallel to the plate surface of the gate 2; in this embodiment, the number of guiding telescopic rods 16 on each gate 2 is two, and the electric telescopic rod 15 is in the middle of the two guiding telescopic rods 16.

[0057] When the electric telescopic rod 15 is in a fully retracted state, the height of the upper end of the baffle 17 from the ground is in the range of [0.7m, 1.2m]. This is because the age of children with the ability to walk independently and sufficient cognitive ability is usually around 6 years old. According to the "Reference Standards for the Growth and Development of Chinese Children Under 7 Years Old" issued by the Ministry of Health, by looking up the table, the height of 6 - year - old children is about 1m - 1.3m. Therefore, in order to ensure that the face of 6 - year - old children can be completely exposed (here, exposure means that when the camera 3 is facing the face of the child, the baffle 17 cannot have any obstruction), it is necessary to subtract the length from the top of the child's head to the neck (usually taken as 0.3m) on the basis of 1m - 1.3m; in this embodiment, when the electric telescopic rod 15 is fully retracted, the height of the upper end of the baffle 17 from the ground is 0.7m.

[0058] When the electric telescopic rod 15 is in a fully extended state, the height from the upper end of the baffle 17 to the ground is in the range of (1.2m, 1.6m]. Since the height of normal adults is generally about 1.6m - 2m, if the height of the baffle 17 is too low, it will cause tall passengers to step over the gate 2; in this embodiment, when the electric telescopic rod 15 is fully extended, the height from the upper end of the baffle 17 to the ground is 1.6m. (Two)

[0060] The door frame 1 is also provided with a second driving component for driving the movement of the camera 3. The shooting end of the camera 3 is provided with a high-definition camera module 4, an infrared camera module 5, and a laser ranging module 6. The inside of the camera 3 is embedded with a CPU 7, a GPU 8, a storage module 9, and a wireless module 10.

[0061] Among them, the high-definition camera module 4 is used to shoot the faces of passengers, so as to facilitate the capture and analysis of the facial features of passengers.

[0062] Among them, the infrared camera module 5 is used to measure the body temperature of passengers. It should be noted that the light spot of the infrared rays emitted by the infrared camera module 5 on the passenger's body is located on the forehead of the passenger.

[0063] Among them, the laser ranging module 6 is used to accurately measure the straight-line distance between the infrared camera module 5 and the passenger's forehead; in this embodiment, in order to ensure that the laser emitted by the laser ranging module 6 will not cause damage to the passenger's body, the wavelength range of the laser emitted by the laser ranging module 6 is 8μm - 14μm.

[0064] (Two - One)

[0065] The second driving component includes a vertical driving component, a horizontal driving component, and an angular pitch driving component.

[0066] The vertical driving component includes track plates 18 arranged on both sides of the outlet end of the door frame 1, a first slider 19 slidably connected to the track plates 18, a screw rod 20 rotatably connected to the track plates 18 and screwed to the first slider 19, and a servo motor 21 arranged at the end of the track plates 18 and driving the screw rod 20 to spin. In this way, the height of the camera 3 in the vertical direction can be adjusted through the vertical driving component, so that the height of the camera 3 and the forehead of the person to pass through in the vertical direction is the same. It should be noted that the working states of the two servo motors 21 in the vertical driving component are kept synchronized.

[0067] The horizontal driving component includes a guide rail 22 mounted between two first sliders 19, a second slider 23 slidably connected to the guide rail 22, and a stepping motor 24 provided on the second slider 23. A gear 25 mounted on the output shaft of the stepping motor 24 meshes with a rack 26 on the guide rail 22. In this way, the position of the camera 3 in the horizontal direction can be adjusted through the horizontal driving component, so that the camera 3 and the forehead of the person to pass through are in the same horizontal direction (the horizontal direction mentioned here is parallel to the passing direction of the door frame 1).

[0068] The angle pitch driving component includes a rotating seat 27 provided at the lower end of the second slider 23 and a rotating motor 28 provided on the rotating seat 27 and driving the camera 3 to rotate. The central axis of the output shaft of the rotating motor 28 is parallel to the stroke direction of the guide rail 22. Since the height of some passengers may exceed the stroke of the vertical driving component, the angle pitch driving component is required to adjust the pitch angle of the camera 3, so that the shooting end of the camera 3 is aligned with the forehead of the person to pass through.

[0069] In summary, the function of the second driving component is to align the shooting end of the camera 3 with the forehead of the person to pass through.

[0070] (Two-two)

[0071] The CPU 7 is provided with a face detection module (for detecting whether there is a face within the shooting field of view of the high-definition camera module 4), a face recognition module (for recognizing the face captured by the high-definition camera module 4 and judging whether it is a real person, and at the same time identifying the identity of the captured face), a body temperature detection module (for calculating the data captured by the infrared camera module 5 to obtain the forehead temperature of the passenger), a UI module (for the man-machine interaction interface displayed on the computer 11 to facilitate the operation and viewing of the temperature measuring personnel), a room temperature automatic calibration module (for automatically calibrating the infrared camera module 5 to the room temperature when the camera 3 is started, so as to ensure that the difference between the measured body temperature and the actual body temperature is within the allowable error range), a ranging algorithm (for processing the data of the laser ranging module 6 to obtain the straight-line distance between the camera 3 and the passenger's forehead), and a compensation algorithm (for cooperating with the ranging algorithm and the body temperature detection module to compensate and correct the temperature measurement result, so that the final temperature measurement result is consistent with the actual body temperature of the passenger).

[0072] Among them, the compensation algorithm establishes the relationship between the initial temperature value and the compensation temperature value by measuring the actual temperature value of the target and the initial temperature value of the target measured by infrared light multiple times, so as to give the correction compensation formula. The compensation algorithm belongs to the prior art, and its algorithm model can refer to the Chinese patent document CN106017690.

[0073] The GPU 8 is configured with face detection algorithms, face recognition algorithms, liveness detection algorithms, and accessory recognition algorithms (to detect whether there are occlusions such as masks on the faces of passengers. If so, the computer 11 will issue a prompt through the display screen 30, so that the passengers can remove the masks).

[0074] It should be noted that:

[0075] Ⅰ. Face detection algorithm:

[0076] Currently, face detection algorithms based on deep learning can be roughly divided into three categories:

[0077] The first is the cascade-based face detection algorithm (such as Cascade CNN, MTCNN). Although it has the advantages of relatively fast running speed and moderate detection performance, it can only be applied to scenarios with limited computing power, simple backgrounds, and a small number of faces.

[0078] The second is the two-stage face detection algorithm, which is generally based on the Faster-RCNN framework. In the first stage, candidate regions are generated, and then in the second stage, the candidate regions are classified and regressed. Representative methods include Face R-CNN, ScaleFace, and FDNet. Although it has the advantage of high detection accuracy, it still has the prominent disadvantage of slow detection speed.

[0079] The third is the single-stage face detection algorithm, which mainly performs classification and regression based on Anchors and is usually optimized on the basis of classic frameworks (such as SSD, RetinaNet). Its detection speed is faster than that of the two-stage method, and its detection performance is better than that of the cascade method. It is an algorithm that balances detection performance and speed.

[0080] In summary, in this embodiment, the face detection algorithm adopts Retinaface based on the above third method.

[0081] Ⅱ. Face recognition algorithm:

[0082] Currently, there are three classic face recognition algorithms:

[0083] The first one is the Eigenface method. The specific steps are as follows: First, a batch of face images are converted into a set of eigenvectors, called "Eigenfaces", that is, "feature faces", which are the basic components of the initial training image set. The recognition process is to project a new image onto the eigenface subspace, and make a determination and recognition based on the position of its projection point in the subspace and the length of the projection line. After transforming the image to another space, images of the same category will converge together, while images of different categories will be far apart. In the original pixel space, it is difficult to separate images of different categories with a simple line or plane. After transforming to another space, they can be well separated. The space transformation method selected by Eigenfaces is PCA (Principal Component Analysis). By using PCA, the main components of the face distribution are obtained. The specific implementation is to perform eigenvalue decomposition on the covariance matrix of all face images in the training set to obtain the corresponding eigenvectors, and these eigenvectors are the "feature faces". Each eigenvector or feature face is equivalent to capturing or describing a kind of variation or characteristic between faces. This means that each face can be represented as a linear combination of these feature faces.

[0084] The second one is the Local Binary Patterns (LBP). This is a visual operator used for classification in the field of computer vision. LBP is an operator used to describe the texture features of an image. Its core idea is to use the gray value of the central pixel as a threshold, compare it with its neighborhood, and obtain the corresponding binary code to represent the local texture features. LBP extracts local features as the discrimination basis. The significant advantage of the LBP method is its insensitivity to illumination, but it still does not solve the problems of pose and expression. However, compared with the eigenface method, the recognition rate of LBP has been greatly improved.

[0085] The third one is the Fisherface algorithm, Fisher linear discriminant analysis (LDA): The linear discriminant problem of two classes can be regarded as all samples being projected onto a direction (or a dimensional space), and then a classification threshold is determined in this space. The hyperplane passing through this threshold point and perpendicular to the projection direction is the classification surface. The discrimination idea is to select the projection direction so that the two classes are as far apart as possible after projection, and the samples within each class are as concentrated as possible (the between-class variance is the largest, and the within-class variance is the smallest).

[0086] Its definition formula is as follows:

[0087]

[0088] represents the distance between the projection centers of different classifications, and the larger the value, the better.

[0089] This formula is called the scatter matrix, representing the scatter value after projection of the same classification, that is, the aggregation degree of the projection points. The smaller its value, the more aggregated the projection points are.

[0090] Combining the above two formulas, using the first formula as the numerator and the second formula as the denominator, we can get

[0091] , where The larger the value of , the better the dimensionality reduction performance. The specific process includes determining the optimal projection direction and the classification threshold in this direction.

[0092] The specific process of the Fisherfaces method is as follows: PCA dimensionality reduction (performing PCA processing on the original samples to obtain new samples after PCA processing) and LDA feature extraction (using the Fisher linear discriminant method on the dimensionality-reduced samples to determine an optimal projection direction, constructing a one-dimensional feature space (which is called Fisherfaces), projecting the multi-dimensional face images into the Fisherfaces feature space, and forming a set of feature vectors using the within-class sample data, and this set of feature vectors represents the features of the face).

[0093] In summary, in this embodiment, the above-mentioned third Fisherface algorithm is adopted because it combines the advantages of PCA and LDA.

[0094] Ⅲ. Live detection algorithm:

[0095] Live detection technologies are generally divided into two categories:

[0096] The first is cooperative live detection (the most common live detection method). The specific method is: through cooperative combined actions such as blinking, opening the mouth, shaking the head, nodding, or even reading random numbers, using technologies such as face key point localization and face tracking to verify whether the user is a real live person operating.

[0097] The second is non-cooperative live detection (or silent live detection technology). It does not require the user to perform additional actions and can directly distinguish forged face attacks such as paper photos, screen imaging, and face masks.

[0098] Non-cooperative live detection is generally divided into three technical routes: infrared images, 3D structured light, and RGB images according to different imaging sources. These three routes have their own advantages and disadvantages according to different application scenarios.

[0099] ①For the live detection of infrared images, an infrared camera is required. Infrared images filter out light in specific wavelength bands and are inherently resistant to screen-based fake face attacks. Whether it is visible light or infrared light, both are essentially electromagnetic waves. Object imaging is related to the reflection characteristics of its surface material. The reflection characteristics of a real human face and attack media such as paper, screen, and three-dimensional mask are different, so the imaging effects are also different. This difference in surface materials is more obvious in the reflection of infrared waves. When a face on a screen appears in front of an infrared camera, the infrared imaging shows only a white expanse, and even the face cannot be displayed, so the attack fails.

[0100] ②3D structured light live detection uses a structured light / TOF depth camera, introducing the concept of "depth information" and can easily distinguish fake face attacks by 2D media such as paper photos and screens. 3D structured light requires a 3D camera. When taking a picture of a human face, 3D data of the face area can be obtained, and further analysis can be performed based on this data to finally determine whether the face is from a live person or not. The range of non-live objects that 3D structured light can detect is relatively wide, including photos and videos on electronic screens, photos printed on different materials (including cases such as bending, folding, cutting, and punching holes), etc. The key to this detection path lies in how to select the most discriminative features based on the 3D face data of live and non-live objects to train a classifier and use the trained classifier to distinguish between live and non-live objects.

[0101] ③RGB monocular live detection can use an ordinary RGB camera. By analyzing portrait flaws such as moiré patterns, imaging deformities, and reflectivity, the recognition information required for live detection can be obtained, and the accuracy of recognition is ensured by multi-dimensional recognition bases.

[0102] In summary: The detection cost of infrared image live detection is medium, the defense ability against screen and paper attacks is excellent, and the defense ability against mask attacks is medium to good; the cost of 3D structured light live detection is the highest, the effect is the best, and the defense ability against screen, paper, and mask attacks is excellent; the detection cost of RGB images is low, the defense against screen and paper attacks is good, and the defense against mask attacks is average. Therefore, in this embodiment, considering both ensuring the detection performance of the product of the present invention and controlling the cost, a method combining RGB and infrared image detection methods is selected.

[0103] Ⅳ. Ornament recognition algorithm:

[0104] Face recognition is a biometric identification technology that identifies a person based on their facial feature information. Cameras or webcams are used to collect images or video streams containing human faces, and the faces in the images are automatically detected and tracked. Subsequently, a series of related facial technologies are applied to the detected faces. This is usually also called portrait recognition or facial recognition. Although it has a development history of many years, face recognition technology is still affected by various factors in actual applications, such as lighting, perspective, occlusion, and age. Among them, for accessories worn on the face by personnel (such as masks, sunglasses, face towels, headscarves, bangs, etc.), it is necessary to first detect whether there are accessories that block facial features. If so, the personnel are prompted to remove these accessories.

[0105] In this embodiment, a detection method based on PCA analysis is adopted, which includes two key steps: In the analysis stage, the occluded face image is projected onto the face feature space, and the face is reconstructed using the projection coefficients. In the detection stage, the occluded face image is compared with the reconstructed face image. The greater the difference, the greater the likelihood of being determined as occluded. The occluded area is estimated based on the difference between the reconstructed face and the original occluded face.

[0106] The storage module 9 includes a cache unit and a memory unit.

[0107] Among them, the memory unit is used to store the face data of passing passengers and upload it to the cloud server through a dedicated secure channel. (Three)

[0109] An auxiliary monitor 29 is also provided at the top of the door frame 1. The shooting angle of the auxiliary monitor 29 faces one end of the entrance side of the door frame 1, and the auxiliary monitor 29 is used to detect whether there are passengers at the entrance of the door frame 1.

[0110] A display screen 30 (used to prompt whether the passenger is allowed to pass) is also provided at the top of one end of the entrance side of the door frame 1. Both the auxiliary monitor 29 and the display screen 30 are controlled by the computer 11.

[0111] A display 31 is also connected to the computer 11 by signal. Among them, the display 31 faces the passengers, so that it is convenient for the staff on the other side of the guardrail 12 to see the temperature measurement results of the passengers.

[0112] On the ground on one side of the entrance end of the door frame 1, there is also a marking line 32 that cooperates with the auxiliary monitor 29. In this way, the computer 11 can detect whether a passenger is standing within the marking line 32 through the auxiliary monitor 29. If so, the computer 11 instructs the second driving component and the camera 3 to work; otherwise, both the second driving component and the camera 3 are in the standby state (wherein, in the standby state: in the second driving component, the first slider 19 is located at the uppermost end of the track board 18, the second slider 23 is located in the middle of the guide rail 22, and the camera 3 is horizontal; in the first driving component, the electric telescopic rod 15 is in the maximum extended state; the gates 2 are all in the closed state). (Four)

[0114] A groove is provided on the ground at the entrance end of the door frame 1, and the groove is located between the marking line 32 and the door frame 1.

[0115] The negative pressure component includes a grid plate 33 installed at the upper slot opening of the groove, a housing 34 installed at the lower slot opening of the groove, an air multiplier tube 35 installed inside the housing 34, an air outlet pipe 36 provided on the housing 34, and a negative pressure pump 37 provided at the end of the air outlet pipe 36. Moreover, the air suction port and the air outlet of the air multiplier tube 35 are respectively at the upper end and the lower end in the vertical direction. The air multiplier tube 35 is connected to the output end of a centrifugal air compressor 38 outside the housing 34 through an air inlet pipe.

[0116] In this way, through the cooperation of the housing 34, the air multiplier tube 35, the centrifugal air compressor 38, and the negative pressure pump 37, the air above the grid plate 33 can be sucked, so as to remove the air exhaled by the passengers standing on the grid plate 33 and the air around them from top to bottom (that is, a low-pressure area will be generated above the grid plate 33 when the negative pressure component works), thereby preventing the aerosol (containing pathogenic bacteria) ejected outward by the passengers (the passengers in this state have taken off their masks) due to breathing, sneezing, and exhaling and other actions from splashing on the people or equipment around them, thus avoiding cross-infection.

[0117] There is a ring-shaped crack with a width of only 1.3 millimeters on the inner side of the fuselage of the air multiplier tube 35. Between these small cracks, while the air flow clings to the inner wall and flows, due to the Coanda effect, it drives the surrounding air to flow about 15 times and then "blows" out a refreshing cool breeze with a speed of up to 35 kilometers per hour (that is, it adopts the principle of a jet pump (injector). By using a high-speed moving air jet to generate a negative pressure area behind the nozzle, the surrounding air is sucked).

[0118] In addition, the negative pressure component can also clean the soles of the passengers to a certain extent, that is, suck a certain amount of dust on the soles.

[0119] The output end of the negative pressure pump 37 is also provided with a one-way pipe 39 with a Tesla one-way valve structure inside; in this way, it can effectively ensure that the sucked gas flows unidirectionally in the negative pressure component (that is, prevent the reverse flow of dirty gas); among them, Tesla has no moving parts, does not require internal mechanical movement, uses the spatial structure to promote gas flow, accelerates gas flow through the physical structure, and reduces the energy loss of gas during transportation. Therefore, it can make up for the shortcomings of traditional valves that are easily damaged due to the need for movable parts.

[0120] The end of the one-way pipe 39 is provided with a filtering device 40 with an activated carbon filter element 41 inside; in this way, the gas to be discharged by the negative pressure pump 37 can be filtered and disinfected through the activated carbon filter element 41, so as to remove harmful substances such as dust and aerosol in the gas.

[0121] The above are only the preferred embodiments of the present invention, and are not intended to limit the present invention in other forms. Any person skilled in the art may use the technical content disclosed above to make changes or modifications into equivalent embodiments with equivalent changes and apply them to other fields. However, as long as it does not depart from the technical solution content of the present invention, any simple modification, equivalent change and modification made to the above embodiments based on the technical essence of the present invention still belong to the protection scope of the technical solution of the present invention.

Claims

1. A face temperature measurement terminal that automatically captures faces, characterized in that: It includes a door frame, a gate provided on the door frame, and a camera provided on the door frame; A negative pressure component is provided at the ground at the entrance end of the door frame; A first driving component for driving the movement of the gate is provided on the door frame; A second driving component for driving the movement of the camera is also provided on the door frame. The shooting end of the camera is provided with a high-definition camera module, an infrared camera module, and a laser ranging module. The interior of the camera is embedded with a CPU, a GPU, a storage module, and a wireless module; The first driving component, the second driving component, and the camera are all controlled by a computer; Gateways are provided at the inner ends of the rods of the door frame perpendicular to the ground; the first driving component includes a hinge seat provided on the door frame and a rotary solenoid valve provided on the hinge seat. The output shaft of the rotary solenoid valve is fixedly connected to the gate on the mounting hinge seat, and the central axis of the output shaft of the rotary solenoid valve is perpendicular to the ground; the height of the upper end of the gate in the vertical direction is controlled by a computer; A groove is formed in the ground at the entrance end of the door frame; The negative pressure component includes a grid plate installed at the upper notch of the groove, a housing installed at the lower notch of the groove, an air multiplier tube installed inside the housing, an air outlet pipe provided on the housing, and a negative pressure pump provided at the end of the air outlet pipe.

2. The face temperature measurement terminal that automatically captures faces according to claim 1, characterized in that, Guardrails are provided at both ends of the door frame.

3. The face temperature measurement terminal that automatically captures faces according to claim 1, characterized in that, The gate is L-shaped, and an electric telescopic rod and a set of guiding telescopic rods are provided side by side on the gate. The tops of the electric telescopic rod and the guiding telescopic rods are both fixed to a baffle plate whose plate surface is parallel to the plate surface of the gate; The air inlet and outlet of the air multiplier tube are respectively at the upper and lower ends in the vertical direction. The air multiplier tube is connected to the output end of a centrifugal air compressor outside the housing through an air inlet pipe. A one-way tube is also provided at the output end of the negative pressure pump, and a filtering device is provided at the end of the one-way tube.

4. The face temperature measurement terminal that automatically captures faces according to claim 3, characterized in that, When the electric telescopic rod is in a fully retracted state, the height of the upper end of the baffle plate from the ground is in the range of [0.7m, 1.2m]. When the electric telescopic rod is in a fully extended state, the height of the upper end of the baffle plate from the ground is in the range of (1.2m, 1.6m]; A Tesla one-way valve structure is provided inside the one-way tube, and an activated carbon filter element is provided inside the filtering device.

5. The face temperature measurement terminal that automatically captures faces according to claim 1, characterized in that, The second driving component includes a vertical driving component, a horizontal driving component, and an angle pitching driving component; The vertical driving component includes track plates provided on both sides at the outlet end of the door frame, a first slider slidably connected to the track plates, a screw rod rotatably connected to the track plates and screwed to the first slider, and a servo motor provided at the end of the track plates and driving the screw rod to spin; The horizontal driving component includes a guide rail erected between the two first sliders, a second slider slidably connected to the guide rail, and a stepping motor provided on the second slider. The gear installed on the output shaft of the stepping motor meshes with the rack on the guide rail; The angle pitching driving component includes a rotating seat provided at the lower end of the second slider and a rotating motor provided on the rotating seat and driving the camera to rotate. The central axis of the output shaft of the rotating motor is parallel to the travel direction of the guide rail.

6. The face temperature measurement terminal that automatically captures faces according to claim 1, characterized in that, The CPU is provided with a face detection module, a face recognition module, a body temperature detection module, a UI module, a room temperature automatic calibration module, a ranging algorithm, and a compensation algorithm; The GPU is configured with a face detection algorithm, a face recognition algorithm, a live detection algorithm, and an ornament recognition algorithm; The storage module includes a cache unit and a memory unit.

7. The face temperature measurement terminal that automatically captures faces according to claim 1, characterized in that, An auxiliary monitor is further provided at the top of the door frame, and the shooting angle of the auxiliary monitor faces one end of the entrance side of the door frame; a display screen is further provided at the top of one end of the entrance side of the door frame, and both the auxiliary monitor and the display screen are controlled by a computer; a monitor is also signal-connected to the computer.

8. The face temperature measurement terminal that automatically captures faces according to claim 7, characterized in that, The computer is connected to the cloud server through a dedicated secure channel.

9. The face temperature measurement terminal that automatically captures faces according to claim 7, characterized in that, A marking line matching the auxiliary monitor is also drawn on the ground on one side of the entrance end of the door frame.

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