1. A method for detecting a physical condition of a driver, comprising: trunk detection, upper limb detection, vision detection, color discrimination detection, hearing detection, lower limb detection and multi-person detection;

the trunk detection step comprises left-right turning detection and hand lifting detection;

the step of detecting the upper limbs is provided with finger detection, and the finger detection comprises independent finger judgment, length judgment and fist making judgment;

the vision detection step comprises an eye shading judgment step and a visual target size dynamic adjustment step;

the step of eye shading judgment detects whether the colored eye shading plate is superposed with the eye contour, and judges whether the eyes are shaded;

the step of dynamically adjusting the size of the sighting target modifies the size of the sighting target in real time according to the distance between the person and the screen measured in real time;

the color discrimination detection step randomly selects a test chart from a preset color blindness check chart gallery and detects whether the received number or the received graph is consistent with the test chart;

the hearing detection step plays test audio which respectively corresponds to different text contents, and detects whether the received sound source direction and the text contents corresponding to the sound source direction are matched or not;

the lower limb detection step comprises height detection, long and short foot detection, lower limb movement function detection and artificial limb detection;

the lower limb movement function detection device is provided with a lower limb detection device, and the lower limb movement function is judged by detecting the rotation angle data and the pressure data of the pedal through simulating the pressing action of the pedal;

and in the multi-person detection step, a camera is used for carrying out depression shooting, the instantaneous number of people in the picture is counted by taking the head as a recognition target, and a multi-person detection alarm is output when the number of the recognized people exceeds a set threshold value.

2. The method for detecting the physical condition of the driver according to claim 1, wherein the left-right turning detection extracts a nose key point and a face edge key point according to a face recognition algorithm, calculates a distance between the nose key point and the face edge key point, and determines that the left-right turning detection is passed when a set distance threshold is exceeded;

the hand-lifting detection obtains human body key parts according to a human body key point recognition algorithm, and when two wrist positions are detected to be higher than shoulder positions and the left and right elbow seat heights are higher than set prompt lines, the hand-lifting detection is judged.

3. The method according to claim 1, wherein the individual finger judgment is made by connecting the finger key points in a straight line with the finger tips at the top and the joints arranged in order;

the length judgment detects the length of a straight line according to the straight line formed by connecting the key points of the fingers;

and judging whether the fist making sequence is met according to the finger joint point detection.

4. The method for detecting the physical condition of the driver as claimed in claim 1, wherein the height detection determines a position distance according to ultrasonic ranging and outputs a height value;

the long and short foot detection adopts any one of the following modes:

testing the height difference between the left foot and the right foot;

or testing and judging whether the heights of the left shoulder and the right shoulder are consistent;

or according to the left and right weights tested by the left and right feet stress when the user stands upright through the gravity sensing test, judging whether the user has long and short feet;

testing height data of a user when the left foot and the right foot stand independently, and subtracting to obtain a difference value of the lengths of the two legs;

the artificial limb detection adopts a thermal imaging technology to scan the limb to obtain a limb thermodynamic diagram, and the artificial limb is judged when the limb thermodynamic diagram deviates from a set normal temperature distribution value.

5. The method for detecting the physical condition of the driver as claimed in any one of claims 1 to 4, further comprising a step of ultraviolet sterilization, wherein the ultraviolet sterilization lamp is automatically turned on to sterilize when the unmanned inspection state is detected, and the door lock state is detected to maintain the door lock state.

6. The method for detecting the physical condition of the driver as claimed in any one of claims 1 to 4, further comprising an identity verification step of verifying by adopting resident identification card recognition and face living body detection recognition, extracting the image information of the identity card to compare with the face information before the camera, and identifying and authenticating the identity of the user.

7. A system for verifying a physical condition of a driver, comprising: the device comprises a trunk detection module, an upper limb detection module, a vision detection module, a color discrimination detection module, a hearing detection module, a lower limb detection module and a multi-person detection module;

the trunk detection module is used for detecting left and right turning and hand lifting actions;

the upper limb detection module is used for detecting key points of fingers and respectively carrying out independent finger judgment, length judgment and fist making judgment;

the vision detection module comprises an eye shading judgment unit and a sighting mark size adjusting unit;

the eye shading judging unit is used for detecting whether the colored eye shading plate is superposed with the eye contour or not and judging whether the eyes are shaded or not;

the visual target size adjusting unit is used for modifying the size of the visual target in real time according to the distance between the person and the screen measured in real time;

the color discrimination detection module is used for randomly selecting a test chart from a preset color blindness check chart gallery and detecting whether the received number or the received graph is consistent with the test chart;

the hearing detection module is used for playing test audio, respectively corresponding to different text contents, and detecting whether the received sound source direction and the text contents corresponding to the sound source direction are matched or not;

the lower limb detection module comprises a height detection unit, a long and short foot detection unit, a lower limb movement function detection unit and an artificial limb detection unit;

the device comprises a height detection unit, a long and short foot detection unit and a lower limb movement function detection unit, wherein the height detection unit is used for detecting the height of a user, the long and short foot detection unit is used for detecting whether a long foot and a short foot exist in the user, the lower limb movement function detection unit is provided with a lower limb detection device, and the lower limb movement function is judged by detecting the rotation angle data and the pressure data of a pedal through simulating the pressing action of the pedal;

the artificial limb detection unit is used for detecting whether a user has an artificial limb;

the multi-person detection module is used for carrying out overhead shooting by adopting a camera, counting the instantaneous number of people in the picture by taking the head as a recognition target, and outputting a multi-person detection alarm when the number of the recognized people exceeds a set threshold value.

8. The system for testing the physical condition of the driver as claimed in claim 7, wherein said lower limb detection means comprises a pedal, an elastic means, an angle sensor, a pressure bearing platform and a pressure sensor;

the elastic device is connected with the pedal and used for providing resilience force, the angle sensor is mounted on the pedal and used for detecting rotation angle data of the pedal, the pressure-bearing platform is mounted below the pedal, and the pressure sensor is mounted on the pressure-bearing platform and arranged corresponding to the pedal and used for detecting pressure data borne by the pressure-bearing platform;

and starting the lower limb movement function detection when the pedal is detected to rotate and the pressure bearing platform is detected to be pressed.

9. The system for testing the physical condition of the driver as claimed in claim 7, wherein an ultraviolet disinfection module and an identity verification module are further provided;

the ultraviolet disinfection module is used for automatically starting an ultraviolet disinfection lamp to disinfect when detecting an unmanned inspection state, and simultaneously detecting a door lock state to keep the door lock state;

the identity verification module is used for verifying by adopting resident identity card recognition and face living body detection, extracting identity card image information and comparing the identity card image information with face information in front of the camera, and identifying and authenticating the identity of a user.

10. A terminal for testing physical condition of a driver, characterized in that it is provided with a system for testing physical condition of a driver as claimed in any one of claims 7 to 9, and a cabinet provided with a sound-insulating device.

Background

When a driver transacts traffic management business, such as license claiming, license exchange at the end of life, driving increase and the like, the driver needs to detect the physical condition. The existing body condition detection mode is complicated and mainly comprises two modes, one mode is detection by a plurality of doctors according to the traditional mode, and great inconvenience is brought to both time and detection efficiency; the VR detection is adopted in the other disclosure method, the improvement is great compared with the first method, the VR detection method is inconvenient for users to wear, certain requirements are placed on places and environments, if a sensor is unstable, misjudgment of a motion track is easy, cheating is easy to be guided by pedestrians, video pictures are not filed in the detection process, and the possibility of cheating is provided to a certain extent. Therefore, it is necessary to develop a system for examining the physical condition of the driver and remotely auditing the doctor by using the AI technology, so that the detection process of the driver and the examination of the doctor are more efficient.

Disclosure of Invention

In order to overcome the defects and shortcomings of the prior art, the invention provides the method for detecting the physical condition of the driver, the whole process of each item detection process is recorded in the detection method, the cheating behavior is prevented, the video is checked and examined by a doctor background, and the traceability, controllability and traceability of the whole process are ensured.

A second object of the present invention is to provide a driver physical condition verification system.

The third purpose of the invention is to provide a terminal for testing the physical condition of the driver.

In order to achieve the purpose, the invention adopts the following technical scheme:

the invention provides a method for detecting physical conditions of a driver, which comprises the following steps: trunk detection, upper limb detection, vision detection, color discrimination detection, hearing detection, lower limb detection and multi-person detection;

the trunk detection step comprises left-right turning detection and hand lifting detection;

the step of detecting the upper limbs is provided with finger detection, and the finger detection comprises independent finger judgment, length judgment and fist making judgment;

the vision detection step comprises an eye shading judgment step and a visual target size dynamic adjustment step;

the step of eye shading judgment detects whether the colored eye shading plate is superposed with the eye contour, and judges whether the eyes are shaded;

the step of dynamically adjusting the size of the sighting target modifies the size of the sighting target in real time according to the distance between the person and the screen measured in real time;

the color discrimination detection step randomly selects a test chart from a preset color blindness check chart gallery and detects whether the received number or the received graph is consistent with the test chart;

the hearing detection step plays test audio which respectively corresponds to different text contents, and detects whether the received sound source direction and the text contents corresponding to the sound source direction are matched or not;

the lower limb detection step comprises height detection, long and short foot detection, lower limb movement function detection and artificial limb detection;

the lower limb movement function detection device is provided with a lower limb detection device, and the lower limb movement function is judged by detecting the rotation angle data and the pressure data of the pedal through simulating the pressing action of the pedal;

and in the multi-person detection step, a camera is used for carrying out depression shooting, the instantaneous number of people in the picture is counted by taking the head as a recognition target, and a multi-person detection alarm is output when the number of the recognized people exceeds a set threshold value.

As a preferred technical scheme, the left-right turning detection extracts nose key points and face edge key points according to a face recognition algorithm, calculates the distance between the nose key points and the face edge key points, and judges that the left-right turning detection is passed when the distance exceeds a set distance threshold;

the hand-lifting detection obtains human body key parts according to a human body key point recognition algorithm, and when two wrist positions are detected to be higher than shoulder positions and the left and right elbow seat heights are higher than set prompt lines, the hand-lifting detection is judged.

As a preferred technical scheme, the individual finger judgment is connected into a straight line according to key points of the fingers, the finger tips of the fingers are positioned at the upper part, and the joints are arranged in sequence;

the length judgment detects the length of a straight line according to the straight line formed by connecting the key points of the fingers;

and judging whether the fist making sequence is met according to the finger joint point detection.

As a preferred technical scheme, the height detection determines the position distance according to ultrasonic ranging and outputs a height value;

the long and short foot detection adopts any one of the following modes:

testing the height difference between the left foot and the right foot;

or testing and judging whether the heights of the left shoulder and the right shoulder are consistent;

or according to the left and right weights tested by the left and right feet stress when the user stands upright through the gravity sensing test, judging whether the user has long and short feet;

testing height data of a user when the left foot and the right foot stand independently, and subtracting to obtain a difference value of the lengths of the two legs;

the artificial limb detection adopts a thermal imaging technology to scan the limb to obtain a limb thermodynamic diagram, and the artificial limb is judged when the limb thermodynamic diagram deviates from a set normal temperature distribution value.

As the preferred technical scheme, the method is also provided with an ultraviolet disinfection step, when the unmanned inspection state is detected, the ultraviolet disinfection lamp is automatically started to disinfect, and meanwhile, the door lock state is detected, and the door locking state is kept.

The method adopts the technical scheme that the method further comprises an identity verification step, namely verification is carried out by adopting resident identity card reading and face living body detection and identification, the image information of the identity card is extracted and compared with the face information in front of the camera, and the identity of a user is identified and authenticated.

In order to achieve the second object, the invention adopts the following technical scheme:

a driver physical condition verification system comprising: the device comprises a trunk detection module, an upper limb detection module, a vision detection module, a color discrimination detection module, a hearing detection module, a lower limb detection module and a multi-person detection module;

the trunk detection module is used for detecting left and right turning and hand lifting actions;

the upper limb detection module is used for detecting key points of fingers and respectively carrying out independent finger judgment, length judgment and fist making judgment;

the vision detection module comprises an eye shading judgment unit and a sighting mark size adjusting unit;

the eye shading judging unit is used for detecting whether the colored eye shading plate is superposed with the eye contour or not and judging whether the eyes are shaded or not;

the visual target size adjusting unit is used for modifying the size of the visual target in real time according to the distance between the person and the screen measured in real time;

the color discrimination detection module is used for randomly selecting a test chart from a preset color blindness check chart gallery and detecting whether the received number or the received graph is consistent with the test chart;

the hearing detection module is used for playing test audio, respectively corresponding to different text contents, and detecting whether the received sound source direction and the text contents corresponding to the sound source direction are matched or not;

the lower limb detection module comprises a height detection unit, a long and short foot detection unit, a lower limb movement function detection unit and an artificial limb detection unit;

the device comprises a height detection unit, a long and short foot detection unit and a lower limb movement function detection unit, wherein the height detection unit is used for detecting the height of a user, the long and short foot detection unit is used for detecting whether a long foot and a short foot exist in the user, the lower limb movement function detection unit is provided with a lower limb detection device, and the lower limb movement function is judged by detecting the rotation angle data and the pressure data of a pedal through simulating the pressing action of the pedal;

the artificial limb detection unit is used for detecting whether a user has an artificial limb;

the multi-person detection module is used for carrying out overhead shooting by adopting a camera, counting the instantaneous number of people in the picture by taking the head as a recognition target, and outputting a multi-person detection alarm when the number of the recognized people exceeds a set threshold value.

According to a preferable technical scheme, the lower limb detection device comprises a pedal, an elastic device, an angle sensor, a pressure bearing platform and a pressure sensor;

the elastic device is connected with the pedal and used for providing resilience force, the angle sensor is mounted on the pedal and used for detecting rotation angle data of the pedal, the pressure-bearing platform is mounted below the pedal, and the pressure sensor is mounted on the pressure-bearing platform and arranged corresponding to the pedal and used for detecting pressure data borne by the pressure-bearing platform;

and starting the lower limb movement function detection when the pedal is detected to rotate and the pressure bearing platform is detected to be pressed.

As the preferred technical scheme, the intelligent control system is also provided with an ultraviolet disinfection module and an identity verification module;

the ultraviolet disinfection module is used for automatically starting an ultraviolet disinfection lamp to disinfect when detecting an unmanned inspection state, and simultaneously detecting a door lock state to keep the door lock state;

the identity verification module is used for verifying by adopting resident identity card recognition and face living body detection, extracting identity card image information and comparing the identity card image information with face information in front of the camera, and identifying and authenticating the identity of a user.

In order to achieve the third object, the invention adopts the following technical scheme:

a terminal machine for testing the physical condition of a driver is provided with the physical condition testing system of the driver and a cabinet, wherein the cabinet is provided with a sound insulation device.

Compared with the prior art, the invention has the following advantages and beneficial effects:

(1) according to the method for detecting the physical condition of the driver, the whole process of each item detection process is recorded, so that cheating behaviors are prevented, a doctor checks the video in a background for verification, and the traceability, controllability and traceability of the whole process are guaranteed.

(2) In the vision detection step, a face recognition algorithm is adopted to position the face position and the eye position, the RGB color space of the original image is converted into the YUV color space, the V layer of the third channel layer is taken out to judge the position of the eye shielding plate, and whether the blue eye shielding plate is overlapped with the eye contour or not is recognized, so that intelligent judgment is achieved, the eye shielding is reminded, and the accuracy of vision detection in the body condition detection is improved.

(3) The invention considers cheating behaviors in the hearing detection step, not only distinguishes the sound direction, but also distinguishes the sound content, and prevents the condition that simple left and right direction information is cheated by outside surrounding personnel in an auxiliary way.

(4) According to the invention, through automatic images, the AI technology is adopted to identify the upper limb information from the shot images, the measuring points are automatically extracted and the finger health and bending conditions are tested, if the user operation does not meet the requirements, the AI carries out intelligent reminding to guide the user to detect according to the standard, the upper limb condition of the user can be intelligently identified, and a doctor is assisted to more rapidly examine and examine the information of the examiner.

(5) The invention automatically captures the face, only needs to correct the posture according to the voice prompt through technical interaction, the equipment can adjust the shooting position and the camera height according to the height of the face, adopts a more natural mode to carry out non-contact interaction, is more humanized and shortens the operation time of a user.

Drawings

FIG. 1 is a schematic flow chart of a method for detecting physical conditions of a driver according to the present invention;

FIG. 2 is a schematic flow chart of the torso detection step of the present invention;

FIG. 3 is a schematic diagram illustrating left-right turning motion detection according to the present invention;

FIG. 4 is a diagram illustrating palm keypoint detection according to the present invention;

FIG. 5 is a schematic diagram illustrating finger length detection according to the present invention;

FIG. 6 is a schematic view of the fist detection of the present invention;

FIG. 7 is a schematic diagram of a frame structure of a physical condition testing system for a driver according to the present invention;

FIG. 8 is a schematic view of an application scenario of the method for detecting physical conditions of a driver according to the present invention.

Detailed Description

In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.

Example 1

As shown in fig. 1, the present embodiment provides a method for detecting a physical condition of a driver, including: trunk detection, upper limb detection, vision detection, color discrimination detection, hearing detection, lower limb detection, multi-person detection and ultraviolet disinfection;

as shown in fig. 2, the trunk detection includes a left-right turn detection step and a hand-lifting detection step;

the steps of left and right turning detection specifically comprise: the method comprises the steps of obtaining the nose position of a human face according to a human face recognition algorithm, collecting video pictures through a camera fixed on equipment, extracting human face feature data of each frame of video through the human face recognition algorithm, extracting 68 personal face feature points from one human face picture, as shown in fig. 3, fixedly selecting nose key points and face edge key points corresponding to the horizontal distance of the nose through coordinate data of the human face feature points, calculating the distance between the nose key points and the face edge key points, and when the distance between the nose key points and the face edge key points exceeds a set distance threshold, considering that left-right turn detection of trunk detection passes, wherein the distance threshold of the embodiment is set to be 20% of the width of the whole face.

The hand lifting detection method specifically comprises the following steps: obtaining key parts of the human body according to a human body key point recognition algorithm, lifting the two hands with the palms facing backwards, and detecting if the wrist positions of the two hands are higher than the shoulder positions by hand lifting. The method comprises the steps of collecting video pictures through a camera fixed on equipment, extracting human body characteristic data of each frame of video through a human body key point algorithm, extracting 21 human body characteristic points (the positions of the 21 key points are head top, left ear, right ear, left eye, right eye, nose, left mouth corner, right mouth corner, neck, left shoulder, right shoulder, left elbow, right elbow, left wrist, right wrist, left hip, right hip, left knee, right knee, left ankle and right ankle) from one human body picture, calculating the key points of the left wrist and the right shoulder through coordinate data of the characteristic points, calculating the key points of the left wrist and the right wrist to be higher than the key points of the left shoulder and the right wrist to be higher than a prompt line of the left elbow and the right elbow to be located at a prompt line, and judging that hand lifting detection is passed.

In this embodiment, the upper limb detection includes a finger detection step;

the finger detection step specifically includes: obtaining the key point position of the hand according to a hand key point identification algorithm, then making corresponding judgment, acquiring video pictures through a camera fixed on equipment, as shown in figure 4, adopting a palm key point identification algorithm to carry out palm characteristic data on each frame of video, extracting 21 key points, detecting 4 points, 5 fingers, one point on the wrist and 21 key points in total on each finger by the palm key points, respectively making independent finger judgment, length judgment and fist making judgment,

judging by using an individual finger: the key points of the fingers except the thumb form a straight line without bending; the finger tips of all the fingers are positioned at the upper part, and the joints are arranged from top to bottom according to the normal sequence;

and (3) length judgment: as shown in fig. 5, the left and right lengths of the fingers of both hands are substantially the same;

judging fist making: as shown in fig. 6, the finger joints conform to the fist order, with the tip of the thumb in the middle of the index finger and the little finger.

In the embodiment, the vision detection comprises an eye shading judgment step and a visual target size dynamic adjustment step;

the step of eye shading judgment specifically comprises the following steps: whether the eye shielding plate covers the eye contour or not is detected in real time, the eye shielding plate adopts a colored eye shielding plate, the blue eye shielding plate is selected for the embodiment, whether the eyes are shielded or not is judged by identifying whether the blue eye shielding plate is superposed with the eye contour or not, and when the eye shielding plate is judged to leave the eyes of a person, an upper screen (the original visual target position) prompts that the eyes are shielded by using the eye shielding plate.

In this embodiment, a specific determination method for identifying whether the blue eye shielding plate and the eye contour coincide with each other is as follows:

acquiring video pictures through a camera fixed on equipment, extracting face feature data of each frame of video by adopting a face recognition algorithm, extracting 68 key points, and positioning the face position and the eye position;

converting an original image RGB color space into a YUV color space; the V layer is sensitive to blue, the V layer of the third channel layer is taken out to be used for judging the blue eye shielding plate, and the binaryzation judgment range of the layer is 100-255; the outline is searched on the basis of binarization, and the maximum closing range is the position of the eye shielding plate, the proportion of the eye shielding plate in the eye region is judged, and in the embodiment, if the proportion of the eye shielding plate exceeds 45%, the eye shielding plate is considered to be eye shielding.

The embodiment automatically captures the human face, and through technical interaction, only the posture is corrected according to the voice prompt, the equipment can shoot the position and the height of the camera according to the height adjustment of the human face, non-contact interaction is carried out by adopting a more natural mode, and the equipment is more humanized and shortens the operation time of a user.

The step of dynamically adjusting the size of the optotype specifically comprises:

the method comprises the steps of measuring the distance between a person and a screen in real time according to an ultrasonic sensor or an infrared sensor above the screen, then modifying the size of a sighting target in real time according to the distance, firstly measuring two unscored teaching sighting targets with the sizes of 4.5 and 4.7 (enabling a user to quickly find the position of the sighting target), and then respectively measuring 3 sighting targets with the sizes of 4.9 and 5.0, wherein the two sighting targets pass through if the two sighting targets are correct; and finally, judging whether the eyesight standard meets the requirement according to the eyesight standard of ' Motor vehicle Driving license declaration and use regulation ' (No. 139 of the Ministry of public Security) ', wherein an eyesight calculation formula is as follows:

length of apparent edge N10^(5-S)*1.45444/1000

Screen view edge ═ view edge length (screen pixel/screen physical width)

As shown in table 1 below, assuming that the test distance N is 0.9 m, the apparent side lengths and the screen apparent sides corresponding to different scores are as follows, and when the vision score S is 4.9, the apparent side length is 1.65mm, the screen apparent side is 10 pixels, and when the vision score S is 5.0, the apparent side length is 1.31mm, and the screen apparent side is 8 pixels;

table 1 far vision sighting target data table

Other testing distances are the same, the viewing side length and the screen viewing side are also changed according to the change of the testing distance,

when the user can judge the visual target direction with the visual score of 4.9 or 5.0 at the corresponding distance, the test is passed.

In this embodiment, 2019 new color blindness check chart (version 6) is used in the color discrimination detection step, the testee observes the color blindness chart given by the screen, clicks the correct number or figure from a plurality of choices, and gives a second color blindness check chart and a third color blindness check chart according to the difficulty of the first pattern and the recognition condition of the user. The fourth graph is a randomly given red, yellow and green monochromatic pattern, and whether the tested person can normally recognize the colors of red, yellow and green is tested.

In this embodiment, the hearing test step specifically includes: the left and right sound boxes play audio frequency for 3 times respectively, and the user selects corresponding text content on the screen according to the direction of the sound source. The left information list and the right information list on the display screen both display 3 information options, and the 3 information options and the 3 detection audios are in one-to-one correspondence respectively.

If the sound source is played by a left loudspeaker and the broadcast text is banana, the user selects banana on the left side of the screen. The sound source is played randomly, but the two sides are ensured to play at least once respectively, and the sound source is qualified after three times of playing.

The embodiment fully considers the cheating prevention behavior in the design of the hearing test link, and a tested person not only needs to distinguish the sound direction, but also needs to distinguish the sound content, so that the guessing probability of the tested person is reduced, and the test result is more reliable. And through set up noise insulation at the rack for the enclosing personnel of rack outside are difficult to hear the detection audio frequency in the rack, have stopped to hear the cheating condition that the person surveyed is informed after detecting the audio frequency by the enclosing personnel of outside.

In this embodiment, the lower limb detection includes: height detection, long and short foot detection, lower limb movement function detection and artificial limb detection;

the height detection step specifically comprises: the height is measured by an ultrasonic sensor at the head top, the ultrasonic distance measurement technology is applied, ultrasonic waves are transmitted, echo waves reflected by an obstacle are received to determine the position distance, and whether the height meets the requirements is judged according to the height requirements of the requirements of motor vehicle driving license application and use regulations (No. 139 of the Ministry of public Security).

The long and short foot detection steps can be tested in the following three ways:

(1) the equipment tests whether the difference between the heights of the lifted left foot and the lifted right foot is too large;

(2) testing whether a high shoulder and a low shoulder exist or not, and judging whether the heights of the left shoulder and the right shoulder are consistent or not;

(3) judging whether the user has long and short feet according to the left and right weights of the left and right feet stressed when the user is upright; if the data obtained by the two gravity sensing devices have a large difference, the lengths of the lower limbs of the tested person are different, then the two feet of the tested person are required to stand independently respectively, the height data are measured respectively, and then the difference between the two feet is subtracted to obtain the length difference of the two legs.

The lower limb movement function detection step specifically comprises: the user steps both feet on the left and right foot pedals, the heels land, both feet press together, repeat 2 groups, each group 3 times. Through simulating the pedal plate pressing action, the video acquisition image is combined, and a doctor is assisted to audit whether the user has healthy and normal motion functions of the double lower limbs.

In the embodiment, in order to cooperate with the lower limb movement function detection step, a lower limb detection device is arranged, the lower limb detection device comprises a pedal, an elastic device, an angle sensor, a pressure-bearing platform and a pressure sensor, and two ends of the elastic device are respectively connected with an inspection cabinet and the pedal; the angle sensor is arranged on the pedal and used for detecting the rotation angle data of the pedal; the pressure-bearing platform is arranged between the seat and the pedal, is arranged below the pedal and has a gap with the pedal; the pressure sensor is arranged on the pressure-bearing platform, corresponds to the pedal and is used for detecting pressure data borne by the pressure-bearing platform; the physical condition testing procedure can be started only if the two conditions of pedal rotation and pressure bearing platform compression are met simultaneously. The angle sensor of this embodiment adopts the gyroscope sensor, and resilient means adopts the spring.

When the device is used, a tested person sits on the seat, the heel of the foot is abutted against the pressure-bearing platform, and the pedal is stepped by the sole of the foot, so that the pedal overcomes the elasticity of the elastic device and rotates downwards in the gap range between the pedal and the pressure-bearing platform. In the rotation process of footboard, the heel that is surveyed person must support all the time and press in the pressure-bearing platform, and pressure sensor on the pressure-bearing platform detects pressure data to data processing apparatus, and this embodiment combines the turned angle data of footboard and overcomes the required dynamics of resilient means, and the analysis is surveyed whether angle that the person pushed down the rotation footboard can satisfy the control requirement to throttle or brake in actual driving to judge whether to have good low limbs harmony by the person who is surveyed.

Because in the whole testing process, when trampling the footboard, the measurand just can activate the physical condition inspection procedure by pressing the pressure sensor on the pressure-bearing platform simultaneously, consequently measurand is difficult to cheat through with handheld instrument or other forms, greatly increased the degree of difficulty of cheating to make the testing result more accurate reliable, reduced the driving safety hidden danger that the navigating mate brought because the low limbs defect.

The lower limb detection device can be set to detect the coordination function of one foot firstly and then test the other foot, and can also be set to test two feet at the same time.

Under the mode that two feet carry out the test simultaneously, the person under test tramples two feet on two footboards of low limbs detection device simultaneously, and the heel of two feet supports simultaneously and presses on pressure-bearing platform in order to trigger pressure sensor, has consequently further increased the cheating degree of difficulty of person under test, and the test result is more reliable.

The prosthesis detection step specifically comprises: the artificial limb detection utilizes the principle of thermal imaging technology to scan the limbs, the body temperature of a normal person is about 37 degrees, and if the limb thermodynamic diagram obtained through scanning deviates from normal temperature distribution, the limb is judged to be the artificial limb.

In this embodiment, the multi-person detecting step includes: and (4) utilizing a monitoring camera to shoot in a depression mode, counting the number of the instantaneous people in the picture by taking the head as a recognition target, and counting the upper limit of the number of the people. When the inspection of multiple persons is identified, a prompt of identifying multiple persons and asking for re-inspection is popped up, and the inspection of the physical condition of the driver is finished, so that the detected person is prevented from cheating through the assistance of other persons in the cabinet.

In this embodiment, the step of ultraviolet sterilization specifically includes: when an unmanned inspection state is detected indoors, the equipment automatically turns on the ultraviolet disinfection lamp to disinfect, the door lock is disinfected and detected, the door locking state is guaranteed, and the function of disinfecting, preventing epidemic and preventing bacteria in the equipment is realized by prompting that the equipment is disinfecting and please later on the outer screen.

Example 2

As shown in fig. 7, the present embodiment provides a driver physical condition verification system including: the device comprises a trunk detection module, an upper limb detection module, a vision detection module, a color discrimination detection module, a hearing detection module, a lower limb detection module and a multi-person detection module;

in this embodiment, the trunk detection module is used for detecting left and right turning and hand lifting actions;

in this embodiment, the upper limb detection module is configured to detect key points of fingers, and perform individual finger judgment, length judgment, and fist making judgment, respectively;

in this embodiment, the vision detecting module includes an eye-shading judging unit and a sighting mark size adjusting unit;

in this embodiment, the eye shading determination unit is configured to detect whether the colored eye shading plate and the eye contour coincide with each other, and determine whether to shade eyes;

in this embodiment, the target size adjusting unit is configured to modify the size of the target in real time according to the distance between the person and the screen measured in real time;

in this embodiment, the color discrimination detection module is configured to randomly select a test chart from a preset color blindness check chart library, and detect whether a received number or a received figure is consistent with the test chart;

in this embodiment, the hearing detection module is configured to play a test audio, respectively correspond to different text contents, and detect whether a received sound source direction and the text contents corresponding to the sound source direction are matched;

in this embodiment, the lower limb detection module comprises a height detection unit, a long and short foot detection unit, a lower limb movement function detection unit and a prosthesis detection unit;

in this embodiment, the height detection unit is used for detecting the height of a user, the long and short foot detection unit is used for detecting whether the user has long and short feet, the lower limb movement function detection unit is provided with a lower limb detection device, and the lower limb movement function is judged by detecting the rotation angle data and the pressure data of the pedal through simulating the pressing action of the pedal;

in the embodiment, the prosthesis detection unit is used for detecting whether a user has a prosthesis;

in this embodiment, the multi-person detection module is configured to take a video of the subject by using a camera, count the number of instantaneous persons in the image by using the head as a recognition target, and output a multi-person detection alarm when the number of recognized persons exceeds a set threshold.

In this embodiment, the lower limb detection device comprises a pedal, an elastic device, an angle sensor, a pressure bearing platform and a pressure sensor;

in this embodiment, the elastic device is connected with the pedal and used for providing resilience, the angle sensor is mounted on the pedal and used for detecting rotation angle data of the pedal, the pressure-bearing platform is mounted below the pedal, and the pressure sensor is mounted on the pressure-bearing platform and arranged corresponding to the pedal and used for detecting pressure data borne by the pressure-bearing platform;

and starting the lower limb movement function detection when the pedal is detected to rotate and the pressure bearing platform is detected to be pressed.

In the embodiment, an ultraviolet disinfection module and an identity verification module are further arranged;

the ultraviolet disinfection module is used for automatically starting an ultraviolet disinfection lamp to disinfect when detecting an unmanned inspection state, and simultaneously detecting a door lock state to keep the door lock state; the identity verification module is used for verifying by adopting resident identity card recognition and face living body detection and identification, extracting identity card image information and comparing the identity card image information with face information in front of the camera, and identifying and authenticating the identity of a user.

Example 3

A terminal machine for detecting the condition of the body of a driver is provided with the system for detecting the condition of the body of the driver in embodiment 2 and a cabinet, wherein the cabinet is provided with a sound insulation device.

As shown in fig. 8, the embodiment provides an application scenario combining a driver physical condition inspection terminal, a server and a doctor remote auditing system, the driver physical condition inspection terminal acquires inspection information and intelligently filters, a face tracking device is built in, a face is automatically captured, through technical interaction, only a correct posture is required according to voice prompt, equipment can adjust a shooting position and a camera height according to the height of the face, non-contact interaction is performed in a more natural mode, and the system is more humanized and shortens user operation time.

In this embodiment, the specific detection steps of the terminal for checking the physical condition of the driver include: verifying an identity card, confirming a letter of acceptance, selecting a driving-ready vehicle type, detecting a trunk, detecting an upper limb, detecting eyesight, detecting color discrimination, detecting hearing, detecting lower limbs, detecting a plurality of people and disinfecting by ultraviolet rays;

this embodiment adopts the ID card to read the ware to resident identification card recognition and face live body detection discernment verification are the means, can extract ID card image information rapidly and compare with the face information before the camera, realize the judgement to "testimony of a witness uniformity", and the user identity is authenticated in quick discernment, automatic entering user information after the ID card discernment, reduces the manual input of user, and it is more intelligent convenient to operate.

In the embodiment, the acquired driver inspection process result, the key screenshot and the link video are uploaded to the server, and the inspection doctor acquires the inspection data through the auditing platform to manually review the inspection result, so that the work of the inspection doctor is simplified, and the work efficiency is greatly improved. The doctor audits and files the result, the key screenshot and the link video through the checking process, so that the server can trace which driver body condition checking terminal comes from, which hospital checking doctor checks, and the requirement that the vehicle administration can supervise the driver body condition checking is met.

In the embodiment, the physical condition inspection of the driver is not influenced by the environment, the putting place is flexible, and the physical condition inspection terminal of the driver can be arranged in places with electricity and networks, such as physical examination on a physical examination service vehicle, communities, markets, hospitals, driving schools, vehicle administration centers and government centers; the inspection report is printed by self, and the hospital seal and the doctor signature are automatically synthesized into an inspection table for the driver to finish inspection and have been audited and printed without manual participation.

The above embodiments are preferred embodiments of the present invention, but the present invention is not limited to the above embodiments, and any other changes, modifications, substitutions, combinations, and simplifications which do not depart from the spirit and principle of the present invention should be construed as equivalents thereof, and all such changes, modifications, substitutions, combinations, and simplifications are intended to be included in the scope of the present invention.