CN112633080A - Automatic detection system and detection method for passenger virus exposure in vehicle for highway access - Google Patents

Abstract

The invention provides a system and a method for automatically detecting the virus-related of passengers in a vehicle for a highway gate, which comprises a central processing unit, a data transmission device and a cloud main system, wherein the central processing unit, the data transmission device and the cloud main system are arranged on the highway gate; the method can accurately calculate the data value of the pupil and the eye part of the tested person, which is closest to the real size, at the current distance, and compare the data values, thereby ensuring the detection accuracy, realizing remote virus-related detection, realizing the application of the virus-related detection on a highway access, and providing more powerful technical support and product application for checking, striking and monitoring virus driving.

Description

Automatic detection system and detection method for passenger virus exposure in vehicle for highway access

Technical Field

The invention relates to the technical field of pupil virus-related detection, in particular to an automatic passenger virus-related detection system and method for a vehicle at a highway gate.

Background

The drug addict is a brain disease patient in the strict sense. The dynamic change process of eyes contains a large amount of scientific information, and scientifically and accurately acquiring the data and effectively analyzing and judging the data are the technical key for defining drug smokers. The pupil responds sensitively to light stimuli, and when illuminated with light (e.g., focused flashlight light), the pupil contracts immediately and returns quickly after the light source is removed. When one side of the pupil is stimulated with light, the side pupil contracts and recovers after the light is removed, known as a direct light reflex. If the two eyes are separated by an opaque object (for example, using a spacer and a palm), when one pupil is irradiated with light, the other pupil is also immediately contracted, which is called indirect light reflection. Typically, the direct and indirect light reflections from both eyes are simultaneous and of equal amplitude. Pupillary light reflex is an unconditional neural reflex process and is difficult to be interfered by subjective factors. The currently known neural transmission pathways for light reflex are: the relaxation of the pupil is governed by the mydriasis muscle, which causes dilation of the pupil and is governed by sympathetic nerves, and the pupillary sphincter, which is excited to constrict the pupil and is governed by parasympathetic nerves. During the miosis phase of the light reflex, parasympathetic innervation occurs, and during the diastole phase and the pupillary dark adaptation, sympathetic innervation occurs.

The inventor is dedicated to research and develop and innovate the using environment and the application environment of the virus-related detector, and the application of the virus-related detector is continuously expanded.

At present, no technical scheme for applying the virus-related detector to a highway gate exists.

Disclosure of Invention

In order to solve the problems and the defects in the prior art, the inventor provides technical support which can be applied to highway gates for virus-related detection of personnel in vehicles through research and development design, and can realize automatic virus-related detection of the personnel in the vehicles.

Specifically, the invention is realized by the following steps:

an automatic detection system for passenger virus-related activities in vehicles for highway checkpoints comprises a central processing unit, data transmission equipment and a cloud main system, wherein the central processing unit, the data transmission equipment and the cloud main system are arranged on the highway checkpoints; the system is connected to a cloud main system through data transmission equipment to send and receive data and signals, and is used for controlling a high-power zooming camera lens to recognize a vehicle and obtain a vehicle image, determining whether face information is recognized in the obtained image or image data based on a face recognition module, determining eye information in the obtained face information based on a eye recognition module, obtaining an image or image data of an eye region through the high-power zooming camera lens, transmitting the image or image data to a virus-related detection module to obtain a virus-related detection result, and transmitting the virus-related detection result to the cloud main system through the data transmission equipment

The invention also provides an automatic detection method for passenger virus exposure in a vehicle for a highway gate, which comprises the following steps: s1, identifying or detecting vehicles running on the road; s2, starting a high-power zoom camera lens to capture images or image information of the vehicle, and zooming in the view rapidly according to the direction of the vehicle; s3, carrying out face recognition detection, and if face information is detected through recognition, rapidly zooming and zooming the high-power zoom camera lens to the direction of the face; s4, identifying the human eyes, if detecting and identifying the human eye information, continuously zooming the high-power zoom camera lens to the direction of the human eyes to zoom in the visual field, and continuously or discontinuously acquiring eye images or image information after finishing zooming; s5, identifying and extracting pupil information based on the acquired eye image or image information; and S6, performing virus-related detection on the extracted pupil information to obtain the data of the virus-related detection result of the personnel on the corresponding vehicle.

The working principle of the invention is introduced: the invention utilizes the hardware equipment provided by the current highway gate and the communication transmission technology provided by the network system, combines the virus-related detection technology with the high-power zoom camera to realize the virus-related detection of the personnel in the vehicle, and the technical principle is that when the vehicle is detected to drive, the high-power zoom camera is started to track and shoot the image, firstly, the front image information of the vehicle is quickly zoomed and drawn, the face recognition is started in the process, the high-power zoom is continued after the face is recognized, so that the visual field of the camera lens is the face, in the process, the image or image in the face area can be locked for a period of time through stabilizing the cradle head, the tracking and shooting technology and the automatic zoom function, the eye recognition is carried out in the period of time, when the eye is recognized, the high-power zoom camera lens continues to zoom further towards the eye area, at the moment, the high-power zoom camera lens is drawn to a long-focus section state, the image of the human eye area is full of the visual field of the high-power zoom camera lens, the high-power zoom camera lens performs automatic focusing, automatic exposure and slow automatic zooming, and quickly captures the current image or image data, so as to extract the image information of the eye characteristics of the person in the vehicle, and combines the optical information acquired by the high-power zoom camera lens, such as the exposure, namely the illumination intensity information of the eye area of the current detected person, the zoom information and the distance information, based on the information, the actual size numerical value of the pupil of the human body and the illumination intensity information value of the environment where the current pupil is located can be obtained through mathematical operation, so that the range of the normal pupil value of the human eye under the current condition can be obtained through database comparison, and then the actual eye pupil information of the detected person is determined according to the actually shot characteristic information of the eye of the detected person, and performing virus-involved comparison to obtain the detection result of whether the detected person is virus-involved. Because the distance value between the detector and the eye of the detected person is detected by the distance sensor in the process, and based on the relation between the imaging distances caused by the distances, the data value of the size, which is closest to the real pupil and eye characteristics of the detected person, at the current distance can be accurately calculated and compared, so that the detection accuracy can be guaranteed, the long-distance virus-related detection can be realized, the virus-related detection can be applied to a road gate, and more powerful technical support and product application are provided for checking, striking and monitoring the virus driving.

The beneficial effects of the invention are introduced as follows:

(1) by utilizing the functions of rapid zooming, automatic focusing and automatic light metering of the high-power zoom camera lens and the identification technology of vehicles on a road bayonet, the image locking and rapid high-power zooming of the vehicles can be rapidly realized, the continuous zooming of the images in the vehicles is realized until the images in the eye area are zoomed in, the obtained high-power images are ensured to be clear and usable, and a stable and reliable hardware basis is provided for subsequent detection.

(2) In addition to the use of the high-power zoom camera lens, the invention is matched with the distance sensor to detect the distance value between the high-power zoom camera lens and the detected vehicle, namely the eye part of the detected person, based on the relation between the imaging distance caused by the distance and the current focal length value of the image, thereby accurately calculating the closest real size data value of the pupil and the eye part characteristics of the detected person at the current distance for comparison, ensuring the detection accuracy and realizing the long-distance virus-related detection,

(3) the optical information in the high-power zoom camera lens, such as an illumination intensity information value, is extracted, and the size value of the pupil under the illumination condition is measured and calculated according to the illumination intensity information value to serve as a standard, virus-related detection comparison is carried out, so that the limitation of the use environment is solved, no matter the pupil is detected outdoors in a high brightness mode and in the sun, or the pupil is detected in a dark environment at night, the use time period is expanded, the function of using the camera lens in the whole time period is achieved, under the condition of insufficient illumination or at night, the infrared light is supplemented through an infrared light supplementing device, the high-power zoom camera lens obtains an infrared light image, operation is carried out, and virus-related detection can be also achieved.

(4) The eye-catching device is installed, so that people in the vehicle can be attracted to watch the high-power zooming camera lens for 1-2 seconds in the direction, and the human eyes face the direction of the high-power zooming camera lens in the image acquired by the high-power zooming camera lens, so that the detection precision is improved.

(5) The system has an advanced detection algorithm, can simultaneously identify the number of human faces and immediately collect pupil image data of other people after pupil image feature data of one person is collected in a short time, and realizes the detection of multiple persons in the same vehicle by one checkpoint section; or when the virus-related detection of the personnel in the vehicle is not successfully carried out due to other factors, the license plate information of the vehicle can be quickly marked, the detection priority of the license plate information is fed back to the cloud main system, the cloud main system controls the detection equipment on the subsequent road section, the detection priority of the vehicle is improved until the virus-related detection result of the personnel in the vehicle is obtained, the missing detection can be effectively prevented, and the detection operation efficiency of the whole road section is reasonably improved.

Drawings

FIG. 1 is a schematic view of an installation structure of an automatic passenger virus-exposure detection system for a vehicle at a highway gate;

FIG. 2 is a schematic diagram of a high power zoom lens;

FIG. 3 is a schematic view of the present invention in use;

FIG. 4 is a schematic flow and principle diagram of the present invention;

wherein: 1-high power zoom camera lens, 2-highway bayonet.

Detailed Description

In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention will be described in further detail with reference to the accompanying drawings in conjunction with the following detailed description. It should be understood that the description is intended to be exemplary only, and is not intended to limit the scope of the present invention. Moreover, in the following description, descriptions of well-known structures and techniques are omitted so as to not unnecessarily obscure the concepts of the present invention.

The invention relates to a virus-related detection method, which is characterized in that pupil image information of a detected person is utilized to analyze and compare to obtain the judgment of whether the person is suspected to take poison or not. The detection principle is not further explained below, but only the new application mode and application means thereof are explained.

Example 1: the utility model provides a highway bayonet socket is with automatic detection system that passenger is infected with poison in vehicle, including installing the central processing unit on highway bayonet socket, be used for managing all high power zoom camera lenses on the highway bayonet socket, and carry out logical operation, program operation data storage transmission etc. it is present hardware, be used for the input programming software to realize control, data transmission equipment is used for uploading the testing result data that obtains on this highway bayonet socket, also be used for receiving the control command that comes from the high in the clouds main system, carry out the control of issuing of corresponding instruction, high in the clouds main system is used for supervisory center or relevant department to use, can acquire the data information that a plurality of highway bayonet socket uploaded. Each highway bayonet further comprises: the high-power zooming camera lens is connected to the central processing unit and used for receiving a control instruction sent by the central processing unit, performing corresponding rapid high-power zooming, rapid focusing and automatic photometry according to the control instruction, continuously or indirectly acquiring an image or image data and sending the image or image data to the central processing unit, and the face recognition module is connected to the central processing unit and used for performing face recognition on the received image or image data in real time and feeding back face recognition information of the central processing unit in real time; the human eye identification module is connected to the central processing unit and is used for carrying out human eye identification detection on the received image or image data in real time, feeding back the human eye identification information processed by the central processing unit, and extracting human eye pupil image information from the received image or image data; the virus-related detection module is connected to the central processing unit and is used for detecting whether the received human eye pupil image information is virus-related or not to obtain a virus-related detection result and sending the detection result to the central processing unit; the central processing unit is connected to the cloud main system through the data transmission device to send and receive data and signals, and is used for controlling the high-power zooming camera lens to recognize vehicles and obtain vehicle images, determining whether face information is recognized in the obtained images or image data based on the face recognition module, determining eye information in the obtained face information based on the eye recognition module, obtaining images or image data of eye areas through the high-power zooming camera lens, transmitting the images or image data to the virus-related detection module, obtaining a virus-related detection result, and transmitting the virus-related detection result to the cloud main system through the data transmission device. The high-power zoom camera lens is the existing instrument equipment, the zoom camera lens which can quickly zoom and has light measuring and distance measuring functions is selected and matched with the stabilizing pan-tilt, the functions of steering and height up-down adjustment can be realized under the control of the stabilizing pan-tilt, so that the following shooting of a moving vehicle can be realized; the central processing unit is also used for receiving an identification feedback signal of a vehicle identification sensor arranged on the bayonet, starting the high-power zoom camera lens to capture and identify the vehicle and zoom in an image of the vehicle in the lens after identifying that the vehicle approaches, and continuously controlling the high-power zoom camera lens to zoom in and zoom in the image of the face in the lens after the face identification module identifies the face; after the eye recognition module recognizes eyes, the central processing unit continues to control the high-power zoom camera lens to zoom, so as to zoom in the images of the eyes in the lens and acquire the images or images in the eye area at the moment.

Preferably, the vehicle further comprises a stabilizing pan-tilt head for mounting the high power zoom camera lens, wherein the stabilizing pan-tilt head is a three-axis stabilizer, is connected to the central processing unit, and is used for controlling the steering of the high power zoom camera lens so as to stably track and lock the captured image or video of the vehicle;

the system also comprises a distance measurement sensor module which is used for monitoring the distance information between the detected vehicle and the highway gate in real time and transmitting the distance information to the central processing unit in real time, and the central processing unit can control the high-power zoom camera lens to carry out slow relative zooming in the process of stably capturing images in the non-rapid zooming process based on the real-time distance information, so that the human face and the human eyes in the images are in a state of stable size ratio in the images. The distance measurement sensor module is also an existing equipment module, mature products can be directly purchased, the distance measurement sensor module can be independent external equipment, and can also be integrated on a camera lens, based on real-time distance information, the corresponding zooming adjustment of the high-power zooming camera lens can be controlled, so that a shot vehicle or a shot face in imaging can be guaranteed, the distance measurement sensor module can be kept under the condition of equal size as much as possible, the situation that under the condition that the vehicle distance changes, a plurality of images or influences such as the face image in the period of time can still be obtained, the data processing and calculation are facilitated, and the operation processing speed is improved.

Preferably, the central processing unit is further configured to extract illumination intensity information in a current image or video from the optical information acquired by the high power zoom camera lens, and when image or video data is extracted, extract corresponding illumination intensity information together, and integrate and send the illumination intensity information to the virus-related detection module. The illumination intensity information at this moment corresponds to the environmental light information of the face or eye of the person to be detected, once the illumination intensity information is determined, the corresponding environmental light information can be calculated, after the environmental light information is obtained, the standard value of the pupil size of the normal human eye can be determined under the illumination intensity of the corresponding environmental light, so that the accuracy of virus-related detection can be improved in the process of virus-related detection;

preferably, the central processing unit is further configured to perform resolution determination and analysis on the acquired images or videos in the eye area, and the images or videos in the eye area with the resolution reaching the standard are sent to the virus-related detection module; during actual use, once eye recognition is completed, the central processing unit extracts images or images in the eye area, and carries out definition calculation, whether the definition reaches the standard or not is judged, noise reduction processing is carried out on whether the images are fuzzy or not and impossible, and the like until the images or the images with the definition reaching the standard are obtained, the images of the detected passenger or driver are obtained, if the clear and usable images or images are still not obtained due to interference of other factors after the vehicle passes through the bayonet, the central processing unit marks the vehicle, such as extracting the license plate information and sending the license plate information to the cloud main system, the cloud main system improves the detection priority of the vehicle, priority instructions are issued on the rest bayonets on the road section where the vehicle runs, and once the vehicle enters the next bayonet, the system on the bayonet preferentially detects the personnel in the vehicle.

The central processing unit is also used for identifying the vehicle information of the vehicle which does not obtain the image or the image in the human eye area with the definition reaching the standard after passing through the road gate, and sending the vehicle information to the cloud main system, and the subsequent road gates preferentially detect the vehicle; similarly, if the characteristics of the pupil image still cannot be accurately extracted from the obtained clear image or image data, the definition is regarded as not meeting the standard;

and identifying the vehicle information of the vehicle which has acquired the image or image in the human eye region with the standard definition after passing through the road gate, wherein the subsequent road gates do not need to detect the vehicle or reduce the priority. The system can detect the vehicles in the coming and going directions in an optimal detection mode, and avoids useless work and waste of system resources.

Preferably, the highway access further comprises a highlighting device arranged beside the high-power zoom camera lens, wherein the highlighting device is an LED display screen or a liquid crystal display screen and is used for displaying road condition information or traffic prompts or traffic signs. The eye-catching device is arranged, so that people in the vehicle can be attracted to watch for 1-2 seconds in the direction of the high-power zoom camera lens, and the eyes of people in an image acquired by the high-power zoom camera lens can be effectively enabled to face the direction of the high-power zoom camera lens, so that the detection precision is improved; meanwhile, the eye-catching device can play vehicle speed information, remind a driver of paying attention to the vehicle speed, remind the speed limit information of the current road or remind the content of the current road needing prompting, can be used for propaganda, and can guide the direction watched by the detected personnel to be over against the detection equipment so as to improve the detection success rate;

preferably, the system further comprises an infrared light supplementing device, which is used for illuminating infrared light to the direction of the vehicle when the ambient light is insufficient; and each road gate is provided with a central processing unit, and each driving lane is correspondingly provided with a group of high-power zoom camera lenses.

Example 2: an automatic detection method for passenger virus exposure in a vehicle for a highway gate comprises the following steps:

s1, identifying or detecting vehicles running on the road;

s2, starting a high-power zoom camera lens to capture images or image information of the vehicle, and zooming in the view rapidly according to the direction of the vehicle;

s3, carrying out face recognition detection, and if face information is detected through recognition, rapidly zooming and zooming the high-power zoom camera lens to the direction of the face;

s4, identifying the human eyes, if detecting and identifying the human eye information, continuously zooming the high-power zoom camera lens to the direction of the human eyes to zoom in the visual field, and continuously or discontinuously acquiring eye images or image information after finishing zooming;

s5, identifying and extracting pupil information based on the acquired eye image or image information;

and S6, performing virus-related detection on the extracted pupil information to obtain the data of the virus-related detection result of the personnel on the corresponding vehicle.

Preferably, step S4 further includes extracting the illumination intensity information and the focal length information in the optical information acquired by the high power zoom camera lens, and the distance information of the vehicle to be photographed from the checkpoint at this time, and integrating the information with the corresponding image or video data at a time point; when the central processing is convenient to extract available image or image data for use, corresponding illumination intensity information, focal length information, distance information and the like can be extracted, and calculation and use are convenient; in step S5, when performing the virus-related detection, the illumination intensity information, the focal length information, and the distance information corresponding to the image or image data are extracted and used as reference information for the virus-related detection.

A priori database is established in advance, the priori database can store a fitting formula of preprocessed calibration object size data and priori quantity, and data support is provided for pupil size calculation;

the priori database is a relational database which is set with a standard measurement length S and a standard measurement distance L, a standard pixel obtained under image acquisition equipment is P, image pixel values under different distance quantities under the same focal length are obtained within a certain measurement distance, and N groups of distance and pixel quantities under a common focal length are established according to the fact that one focal length is a group;

the step of calculating the real size information of the pupil by the prior data comprises the following steps:

determining the current focal segment, and acquiring corresponding information in a relational database under the focal segment to

Measured pixel Px of S is P L/measuring distance Lx;

let dpi be P/S,

then S ═ (P × L/measured distance Lx)/dpi;

if the pupil distance Ly and the pupil pixel size Py are known, the pupil pixel Psy converted into a standard unit is (P × L/measurement distance Ly);

the relationship Py to Psy to Sy to S is given at the distance Ly;

the actual size Formula of the pupil (Formula S) can be obtained:

sy (Py S/(P L)/measured distance Ly) (Py S) is measured distance Ly/(P L).

On the other hand, the prior database also comprises comparison data of the influence of the illumination intensity information value on the pupil change, the change value of the standard pupil size under N common illumination intensity values is preset in advance, an illumination information database is established, and after the illumination intensity information value is obtained, the standard pupil size corresponding to the corresponding illumination intensity information value in the illumination information database can be directly used for comparison reference.

Preferably, the step S3 further includes determining the number of face recognitions, and if the number of face recognitions is greater than 1, after the eye image or image information of one person is extracted in step S4, the high-power zoom camera lens zooms rapidly and zooms out the angle of view, the step S3 is repeated to obtain the face information of another person, the high-power zoom camera lens continues zooming in the direction of the face to zoom in the field of view, the step S4 is repeated to obtain the pupil information of all the persons, and then the step S6 is performed to detect the data of the detection results of the virus-related detection of the persons in the vehicle.

It is to be understood that the above-described embodiments of the present invention are merely illustrative of or explaining the principles of the invention and are not to be construed as limiting the invention. Therefore, any modification, equivalent replacement, improvement and the like made without departing from the spirit and scope of the present invention should be included in the protection scope of the present invention. Further, it is intended that the appended claims cover all such variations and modifications as fall within the scope and boundaries of the appended claims or the equivalents of such scope and boundaries.

Claims (10)

1. The utility model provides a highway is interior passenger of vehicle to be involved in poison automatic check out system for bayonet socket, is including installing central processing unit, data transmission equipment on highway bayonet socket and the high in the clouds main system in high in the clouds, its characterized in that still includes on every highway bayonet socket:

the high power zoom camera lens is connected with the central processing unit and is used for receiving the control instruction sent by the central processing unit, carrying out corresponding fast high power zoom, fast focusing and automatic light metering according to the control instruction, continuously or indirectly acquiring images or image data and sending the images or the image data to the central processing unit,

the face recognition module is connected to the central processing unit and is used for carrying out face recognition on the received image or image data in real time and feeding back face recognition information processed by the central processing unit in real time;

the human eye identification module is connected to the central processing unit and is used for carrying out human eye identification detection on the received image or image data in real time, feeding back the human eye identification information processed by the central processing unit, and extracting human eye pupil image information from the received image or image data;

the virus-related detection module is connected to the central processing unit and is used for detecting whether the received human eye pupil image information is virus-related or not to obtain a virus-related detection result and sending the detection result to the central processing unit;

the central processing unit is connected to the cloud main system through the data transmission device to send and receive data and signals, and is used for controlling the high-power zooming camera lens to recognize vehicles and obtain vehicle images, determining whether face information is recognized in the obtained images or image data based on the face recognition module, determining eye information in the obtained face information based on the eye recognition module, obtaining images or image data of eye areas through the high-power zooming camera lens, transmitting the images or image data to the virus-related detection module, obtaining a virus-related detection result, and transmitting the virus-related detection result to the cloud main system through the data transmission device.

2. The automatic passenger virus-exposure detection system for vehicles at road gates according to claim 1, wherein the central processing unit is further configured to receive a recognition feedback signal from a vehicle recognition sensor mounted at a gate, start the high-power zoom camera lens to capture and recognize the vehicle and zoom in an image of the vehicle in the lens after recognizing that the vehicle approaches, and continue to control the high-power zoom camera lens to zoom and zoom in the image of the face in the lens after the face recognition module recognizes the face; after the eye recognition module recognizes eyes, the central processing unit continues to control the high-power zoom camera lens to zoom, so as to zoom in the images of the eyes in the lens and acquire the images or images in the eye area at the moment.

3. The automatic passenger virus-exposure detection system for vehicles at road gates according to claim 1, further comprising a stabilizing pan-tilt for mounting the high-power zoom camera lens, wherein the stabilizing pan-tilt is a three-axis stabilizer and is connected to the central processing unit for controlling the steering of the high-power zoom camera lens so as to stably track and lock the captured images or images of the vehicles;

the system also comprises a distance measurement sensor module which is used for monitoring the distance information between the detected vehicle and the highway gate in real time and transmitting the distance information to the central processing unit in real time, and the central processing unit controls the high-power zoom camera lens to carry out slow relative zooming in the process of stably capturing images in the non-rapid zooming process based on the real-time distance information, so that the human face and the human eyes in the images are in a state of stable size ratio in the images.

4. The automatic detection system for passenger virus-related activities at road gates of vehicles according to claim 1, wherein the cpu is further configured to extract illumination intensity information in a current image or video from the optical information obtained by the high power zoom camera, and extract corresponding illumination intensity information together with the extracted image or video data when extracting the image or video data, and integrate and send the illumination intensity information to the virus-related activity detection module.

5. The automatic passenger virus-exposure detection system for the vehicle at the road gate according to claim 2, wherein the central processing unit is further configured to judge and analyze the sharpness of the acquired image or image in the eye region, and the image or image in the eye region with the sharpness reaching the standard is sent to the virus-exposure detection module;

the central processing unit is also used for identifying the vehicle information of the vehicle which does not obtain the image or the image in the human eye area with the definition reaching the standard after passing through the road gate, and sending the vehicle information to the cloud main system, and the subsequent road gates preferentially detect the vehicle;

and identifying the vehicle information of the vehicle which has acquired the image or image in the human eye region with the standard definition after passing through the road gate, wherein the subsequent road gates do not need to detect the vehicle or reduce the priority.

6. The automatic passenger virus-exposure detection system for the vehicle at the road gate as claimed in claim 1, wherein the road gate further comprises a highlighting device mounted beside the high-power zoom camera lens, and the highlighting device is an LED display screen or a liquid crystal display screen and is used for displaying road condition information or traffic prompts or traffic signs.

7. The automatic passenger virus-exposure detecting system for the vehicle at the road gate as claimed in claim 1, further comprising an infrared light supplementing device for illuminating infrared light to the direction of the vehicle when the ambient light is insufficient; and each road gate is provided with a central processing unit, and each driving lane is correspondingly provided with a group of high-power zoom camera lenses.

8. An automatic detection method for passenger virus exposure in a vehicle for a highway gate is characterized by comprising the following steps:

s1, identifying or detecting vehicles running on the road;

s2, starting a high-power zoom camera lens to capture images or image information of the vehicle, and zooming in the view rapidly according to the direction of the vehicle;

s3, carrying out face recognition detection, and if face information is detected through recognition, rapidly zooming and zooming the high-power zoom camera lens to the direction of the face;

s4, identifying the human eyes, if detecting and identifying the human eye information, continuously zooming the high-power zoom camera lens to the direction of the human eyes to zoom in the visual field, and continuously or discontinuously acquiring eye images or image information after finishing zooming;

s5, identifying and extracting pupil information based on the acquired eye image or image information;

and S6, performing virus-related detection on the extracted pupil information to obtain the data of the virus-related detection result of the personnel on the corresponding vehicle.

9. The method according to claim 8, wherein the step S4 further comprises extracting the illumination intensity information and the focal length information in the optical information obtained by the zoom lens and the distance information of the vehicle from the road gate, and integrating the information with the corresponding image or video data at a time point; in step S5, when performing the virus-related detection, the method extracts the illumination intensity information, the focal length information, and the distance information corresponding to the image or image data, and uses the extracted information as reference information for the virus-related detection, and includes the steps of:

a priori database is established in advance, the priori database can store a fitting formula of preprocessed calibration object size data and priori quantity, and data support is provided for pupil size calculation;

the priori database is a relational database which is set with a standard measurement length S and a standard measurement distance L, a standard pixel obtained under image acquisition equipment is P, image pixel values under different distance quantities under the same focal length are obtained within a certain measurement distance, and N groups of distance and pixel quantities under a common focal length are established according to the fact that one focal length is a group;

the step of calculating the real size information of the pupil by the prior data comprises the following steps:

determining a current focal segment, acquiring corresponding information in a relational database under the focal segment, and measuring a measured pixel Px of S as P L/a measured distance Lx;

let dpi be P/S,

then S ═ (P × L/measured distance Lx)/dpi;

if the pupil distance Ly and the pupil pixel size Py are known, the pupil pixel Psy converted into a standard unit is (P × L/measurement distance Ly);

the relationship Py to Psy to Sy to S is given at the distance Ly;

the actual size Formula of the pupil (Formula S) can be obtained:

sy (Py S/(P L)/measured distance Ly) (Py S) is measured distance Ly/(P L).

10. The method according to claim 8 or 9, wherein the step S3 further comprises determining the number of face recognitions, and if the number of face recognitions is greater than 1, extracting eye images or image information of one person in the step S4, zooming out the angle of view quickly through the high-power zoom camera lens, repeating the step S3 to obtain face information of another person, zooming in the high-power zoom camera lens to the direction of the face quickly, repeating the step S4 to obtain pupil information of all persons, and performing the step S6 to detect data of the detection results of the person in the vehicle.

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