Pupil reflex real-time detection and analysis system

Abstract

The invention discloses a pupil reflex real-time detection and analysis system, and belongs to the technical field of pupil detection. According to the method, pupil reflex of a single eye or two eyes is continuously detected in real time, interference factors such as blinking and eyelash shielding are filtered out, pupil image deformation caused by eye movement is corrected, and optical influences of cornea and aqueous humor are corrected; meanwhile, various stimulation sources and various stimulation modes are provided, and more stimulation sources can be expanded; corresponding detection programs are set according to different diseases, and reflex conditions of pupils are detected in a targeted mode; for examination results, multiple categories of pupil reflex parameters are defined, feature parameters are selected to establish a feature database of normal people and people with different diseases, and an intelligent classification method is provided for clinical diagnosis reference; according to the invention, the measurement precision is improved, the application field is expanded, and the clinical practicability is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of pupil detection, and in particular to a pupil reflection real-time detection and analysis system. Background Art

[0002] The normal pupil is located in the center of the iris, is round, and has neat borders. The diameter of a normal adult pupil under natural light is 2-6mm, with an average of 3-4mm. The pupils of both eyes are equal in size or the difference is less than 1mm. In a dark environment, the pupil diameter can reach 4-8mm. There are many factors that affect the size of the pupil. In addition to light, refractive state, mental state, drugs, pain, and emotions can affect the pupil, so the pupil is constantly changing slightly. The size, position, shape, and changes of the pupil have important diagnostic value for diseases of the eye and nervous system. For example, in the diagnosis of diseases such as glaucoma, iritis, cataracts, and optic neuropathy, and the evaluation of retinal function, the size of the pupil and its changes will also affect the visual quality and the effect of ophthalmic surgery. The pupil also has great clinical value for neurology, neurosurgery, and emergency treatment. For example, the appearance of pupil light reflex is one of the effective indications for cardiopulmonary resuscitation.

[0003] There are four methods for pupil observation and measurement in the prior art:

[0004] 1. Subjective observation: Use a flashlight to illuminate the pupil and subjectively judge the pupil's light reflection and pupil size. Because it is a subjective judgment, the accuracy and consistency are very poor.

[0005] 2. Pupil ruler observation: Use a ruler with multiple observation holes of different diameters to compare with the pupil. This method is simple to operate and easy to carry, but simple comparison and visual inspection can easily cause large errors, and the accuracy and consistency of measuring pupil diameter are poor.

[0006] 3. Digital image detection: Use photography technology to take pictures of the pupil and convert pixels into pupil diameter. This method improves the objectivity and accuracy of the measurement, but it cannot measure continuously. Taking pictures requires lighting, so the ambient light of the pupil cannot be controlled, and it is even more difficult to measure in a dark environment.

[0007] 4. Infrared digital image detection: Since infrared light does not affect pupil changes, infrared digital image detection technology can continuously record changes in pupil diameter under different environmental lighting and adjustment states, and the illumination intensity and adjustment state can be adjusted and controlled. However, continuous dynamic measurement brings new problems, such as factors such as blinking and eye movement during measurement affecting measurement accuracy, and real-time problems in large amounts of data processing; in terms of data analysis, only pupil diameter and its changes are provided, which cannot accurately describe pupil size, let alone objectively describe pupil shape and its changes.

[0008] However, the detection methods in the prior art still have certain shortcomings:

[0009] Physiologically, some subjects may have factors such as long eyelashes, inverted eyelashes, and droopy eyelids that block the pupil. During the test, the subject will inevitably blink, which will also block the pupil. Partial pupil blockage will affect the accuracy of pupil measurement data.

[0010] The examinee will inevitably have eye movements during continuous long-term pupil detection; pathologically, some examinees may have diseases such as strabismus and nystagmus; factors such as eye movement, strabismus and nystagmus will cause the pupil image to be acquired in different positions, and the acquired pupil image will not be parallel to the optical plane of the imaging device, that is, the acquired pupil image is deformed; the pupil data obtained from the deformed pupil image is inaccurate, and this error will be further magnified in subsequent data processing, which may affect clinical applications;

[0011] In anatomy, the pupil is a hole in the middle of the iris, and outward are the anterior chamber and cornea. In physical optics, the anterior chamber and cornea are equivalent to a convex lens, which magnifies the pupil. Therefore, the pupil image usually obtained is not the real pupil, but an enlarged pupil.

[0012] At the same time, physiologically, the pupils of most people are approximately round and symmetrical between the two eyes; under the influence of stimulation, the pupils dilate or shrink, and the shape basically does not change; pathologically, the pupil shape changes greatly, is no longer approximately round, and the two eyes are asymmetrical.

[0013] Different stimulation sources and stimulation methods cause different pupillary reactions, which correspond to different diseases or different application scenarios in clinical practice. Summary of the invention

[0014] The purpose of the present invention is to solve the problems raised in the above background technology and to propose a real-time detection and analysis system for pupil reflex. In order to achieve the above purpose, the present invention adopts the following technical solutions:

[0015] A pupil reflex real-time detection and analysis system, comprising:

[0016] Data processing system 01, control system 02, light stimulation module 03, extended stimulation module 04, pupil distance adjustment module 05, focus adjustment module 06, infrared photography module 07, infrared lighting module 08 and distance adjustment module 09;

[0017] The data processing system 01 is used for checking mode setting, video image storage and processing, data calculation and analysis, data storage and database management, and at the same time communicates with the control system 02 to issue control instructions;

[0018] Select the corresponding inspection mode in the data processing system 01, and the inspection mode sets the intensity and stimulation method of a single or combined stimulus source; the data processing system 01 transmits the instruction to the control system 02, and the system starts working. The data processing system 01 receives the video image and starts processing the image, identifies the pupil, and finally calculates and analyzes the pupil data.

[0019] Preferably, the control system 02 is used to receive control instructions, control the pupil distance adjustment module 05 to complete pupil distance adjustment, and the focus adjustment module 06 to complete imaging focus adjustment; the distance adjustment module 09, the light stimulation module 03 and the extended stimulation module 04 corresponding to the inspection mode start working after receiving the instructions, and the infrared photography module 07 collects video and transmits it to the data processing system 01 synchronously;

[0020] The infrared photography module 07 is composed of an infrared camera and an imaging optical path. The infrared camera is used to continuously and real-timely collect human eye images. The imaging optical path acts independently and is not affected by the illumination optical path and the stimulation optical path.

[0021] The infrared lighting module 08 is composed of an infrared light source and a light homogenizer, and is used to provide the lighting required for infrared imaging. The light homogenizer evenly projects the infrared light source on the left and right eyes to obtain a clear binocular image with consistent brightness. The binocular lighting system is independent and can act on the left and right eyes separately or simultaneously.

[0022] The light stimulation module 03 includes a light stimulation source and a light stimulation optical path. The light stimulation source is used to provide light stimulation of different wavelengths, different colors and white light, and can provide different display contents. The intensity and stimulation mode of the light stimulation source can be adjusted, and the brightness, contrast and display mode of the display content can also be adjusted. The light stimulation optical paths of both eyes are independently designed and can act on the left and right eyes separately or simultaneously. During monocular detection, it is not affected by the stimulation source of the opposite eye and environmental factors.

[0023] The extended stimulation module 04 is composed of an external stimulation source and a communication interface. The external stimulation source is connected to the system through the communication interface to provide stimulation that can cause pupil reflex. The external stimulation source communicates with the control system 02 through the communication interface to receive control instructions and transmit data, so as to facilitate data collection and analysis.

[0024] The distance adjustment module 09 is composed of a moving mechanism and an optical lens, and is used to adjust the distance between the light stimulus source and the human eye. The optical lens is used for imaging the light stimulus source and is installed on the moving mechanism. The moving mechanism is installed on the stimulation light path between the light stimulus source and the human eye. The optical lens moves along with the moving mechanism in the stimulation light path to change the imaging distance between the stimulation source and the human eye.

[0025] The pupil distance adjustment module 05 is composed of a moving mechanism and a reflector, and is used to adjust the distance between the pupils of both eyes. Two sets of reflectors are symmetrically mounted on the moving mechanism. The moving mechanism moves to change the distance between the two sets of reflectors. The reflectors face the positions of the left and right eyes, and the left and right eyes are completely imaged on the infrared camera.

[0026] The focus adjustment module 06 consists of a moving mechanism and an imaging lens, and is used to adjust the imaging focus. The imaging lens is installed on the moving mechanism, and the moving mechanism is installed in the imaging optical path of the human eye. The imaging focus can be adjusted by adjusting the position of the moving mechanism in the imaging optical path to obtain a clear pupil image.

[0027] Preferably, the data processing system 01 processes the collected images, identifies the pupil boundary, corrects the errors caused by eye position and optics, and finally performs data calculation and gives intelligent diagnosis results. The steps of image processing and analysis by the data processing system 01 are as follows:

[0028] S1, collect and store images;

[0029] S2, image processing;

[0030] S3, pupil recognition;

[0031] S4, eye position correction;

[0032] S5, optical correction;

[0033] S6, data calculation;

[0034] S7. Data analysis.

[0035] Furthermore, the steps S1 to S3 use a multi-threaded processing method to collect, store, process and recognize video images, thereby improving processing efficiency.

[0036] Furthermore, the step S2 includes filtering, enhancing and screening when processing the acquired image.

[0037] Furthermore, steps S3, S4 and S5 perform pupil recognition on the processed image, correct errors caused by pupil image deformation due to eye movement, nystagmus and strabismus during the detection process, and correct the influence of the cornea and anterior chamber on pupil optical magnification.

[0038] Furthermore, the steps S6 and S7 perform pupil-related data calculation and analysis, and the data calculation can select pupil data before or after correction, and define and calculate pupil area and its change data, pupil morphology irregularity data and pupil edge irregularity data;

[0039] By extracting the features of pupil reflex data of normal people and people with different diseases, a corresponding data feature library is established; the examination results of the subjects are compared with the feature library, thereby providing reference data and the diagnosis results of the subjects to the clinic.

[0040] Compared with the prior art, the present invention provides a real-time pupil reflex detection and analysis system, which has the following beneficial effects:

[0041] The present invention continuously detects the pupil reflex of one or both eyes in real time, filters out interfering factors such as blinking and eyelash occlusion, corrects pupil image deformation caused by eye movement, and corrects the optical influence of cornea and aqueous humor. At the same time, it provides a variety of stimulation sources and a variety of stimulation methods, and can expand more stimulation sources. Corresponding detection programs are set for different diseases to detect the reflection of the pupil in a targeted manner. For the inspection results, multiple categories of pupil reflex parameters are defined, and characteristic parameters are selected to establish a characteristic database for normal people and people with different types of diseases, and an intelligent classification method is provided for clinical diagnosis reference. The present invention not only improves the measurement accuracy and expands the application field, but also improves the clinical practicality. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Figure 1 A system block diagram of an embodiment of a pupil reflex real-time detection and analysis system proposed by the present invention;

[0043] Figure 2 An optical path diagram of an embodiment of a pupil reflex real-time detection and analysis system proposed by the present invention;

[0044] Figure 3 This is an image processing flow chart of an embodiment of a pupil reflex real-time detection and analysis system proposed by the present invention;

[0045] Figure 4 The present invention provides a comparison chart of pupil reflex parameters in a real-time pupil reflex detection and analysis system proposed by the invention. DETAILED DESCRIPTION

[0046] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments.

[0047] Embodiment 1:

[0048] Reference Figure 1 , a pupil reflex real-time detection and analysis system, comprising:

[0049] Host computer system X01, slave computer system X02, light stimulation module X03, external stimulation module X04, pupil distance adjustment module X05, focus adjustment module X06, infrared photography module X07, infrared lighting module X08 and distance adjustment module X09;

[0050] The host computer system X01 is used for video image storage and processing, data calculation and analysis, data storage and database management, and communicates with the slave computer system X02 to issue control instructions;

[0051] The lower computer system X02 is used to receive instructions from the upper computer system, control the light stimulation module X03, the external stimulation module X04, the pupil distance adjustment module X05 and the focus adjustment module X06, and control the infrared lighting module X08, and collect images through the infrared photography module X07;

[0052] The infrared photography module X07 is composed of an image sensor CMOS, an optical system L2, a right-angle reflection prism F1, an infrared reflector M2, a filter CM2 and a filter CM1; the infrared photography module X07 uses a high frame rate infrared photography chip to collect pupil images in real time during the pupil reflection process.

[0053] The infrared lighting module X08 consists of an infrared light source IRED and a light homogenizer, which is used to provide the lighting required for infrared imaging in order to obtain a clear image. The binocular lighting system is independent and can act on the left and right eyes separately or simultaneously. It should be noted that infrared light is invisible and will not cause pupil reflex.

[0054] The light stimulation module X03 includes a light stimulation source S and a light stimulation optical path. The light stimulation source S is composed of a high-resolution, high-contrast liquid crystal display and high-brightness LEDs of different wavelengths.

[0055] The liquid crystal display screen is used to provide white light and light stimulation of different colors required to induce pupil reflex, and can also provide different display contents.

[0056] Multi-wavelength LEDs are used to provide light stimulation at different wavelengths. Cones for L cones correspond to 556-576nm, cones for M cones correspond to 533-553nm, cones for S cones correspond to 430-450nm, and rods correspond to 497-517nm.

[0057] The light stimulation optical path is composed of lens L1, reflector M1 and filter CM1. The optical paths of both eyes are independent and can act on the left and right eyes separately or simultaneously. During monocular detection, it is not affected by the stimulation source of the opposite eye and environmental factors.

[0058] The external stimulation module X04 consists of an external stimulation source and a USB communication interface. The external stimulation source is connected to the system via the USB communication port, and the stimulation that can cause pupil reflex, such as pain stimulation, sound stimulation, etc. The external stimulation source is synchronized with the infrared photography module through the USB communication interface, which is convenient for collecting and analyzing data.

[0059] The distance adjustment module X09 is composed of a moving mechanism and a structural component supporting the lens L1. The left and right eyes can be controlled separately to adjust the object image distance from the light stimulus source S to the human eye.

[0060] The distance adjustment module X09 automatically adjusts the object-image distance. According to the set detection program, after receiving the instruction from the lower computer system X02, it drives the motor on the moving mechanism to rotate and automatically adjusts the object-image distance of the light stimulus source S.

[0061] The pupil distance adjustment module X05 is composed of a gear mechanism and a structure supporting the filter CM1, and is used to adjust the distance between the pupils of both eyes and place the pupil images of both eyes in the central area of ​​the image.

[0062] The interpupillary distance adjustment module X05 automatically adjusts the interpupillary distance. The infrared photography module X07 detects the image in real time, and the lower computer system X02 automatically identifies the distance between the pupil centers of both eyes and adjusts the rotation of the motor connected to the gear mechanism to complete the interpupillary distance adjustment.

[0063] The focus adjustment module X06 is composed of a moving mechanism and structural parts supporting the right-angle reflection prism F1 and the optical system L2, and is used to adjust the imaging focal length.

[0064] The focus adjustment module X06 automatically adjusts the imaging focus. The motor connected to the moving mechanism rotates to drive the camera to move, the infrared photography module X07 detects the image in real time, and the lower computer system X02 automatically identifies the image clarity. When the image is adjusted to be clear, the motor stops rotating and the automatic focus adjustment is completed;

[0065] Enter the interface of the host computer system X01 and select the corresponding inspection mode. The inspection mode targets different diseases and sets the intensity and stimulation mode of a single or combined stimulus source. The host computer system X01 transmits the command to the slave computer system X02, and the system starts working. The pupil distance adjustment module X05 completes the pupil distance adjustment, and the focal length adjustment module X06 completes the imaging focal length adjustment. The distance adjustment module X09, light stimulation module X03 and external stimulation module X04 corresponding to the inspection mode start working, and the infrared photography module X07 collects video and transmits it to the host computer system X01 synchronously. The host computer system X01 receives the video image and starts processing the image, identifies the pupil, and finally calculates and analyzes the pupil data.

[0066] Embodiment 2:

[0067] Reference Figure 2A pupil reflex real-time detection and analysis system includes light stimulation, illumination and imaging light paths. The imaging light path includes a sensor CMOS, an optical system L2, a right-angle reflection prism F1, an infrared reflector M2, a filter CM2 and a filter CM1; the illumination light path includes an infrared light source IRED and a light homogenizer; the light stimulation light path includes a light stimulation source S, a lens L1, a reflector M1 and a filter CM1.

[0068] The infrared illumination optical path is composed of an infrared light source IRED and a light homogenizing cover, and is used to provide the illumination required for infrared imaging.

[0069] In the imaging optical path, the infrared narrow-band filter CM1 provides reflection of visible light and transmission of infrared light to eliminate stray light; the direct infrared narrow-band filter CM2 eliminates stray light again; the infrared reflector M2 adjusts the optical path; the right-angle reflection prism F1 integrates the optical path and integrates the binocular images into one image to provide preparation for imaging; the optical system L2 performs imaging on the human eye; the imaging sensor CMOS images the human eye;

[0070] The infrared imaging optical path works alone, and the infrared light source IRED provides infrared illumination. The corresponding human eye is illuminated by infrared light, and the infrared light passes through CM1, CM2, M2, F1, and is finally integrated by L2 to form an image on the CMOS. The lower computer system X02 collects the image on the CMOS and transmits it to the upper computer system X01.

[0071] The light stimulation optical path includes a light stimulation source S, a lens L1, a reflector M1 and a filter CM1. The light stimulation source S is composed of a liquid crystal display and an LED. The light emitted by the light stimulation source S reaches the human eye through the lens L1, the reflector M1 and the infrared narrow-band filter CM1. The lens L1 can move along the optical path to adjust the distance of the image of the light stimulation source S; the reflector M1 and the infrared narrow-band filter CM1 provide optical path reflection of visible light.

[0072] It should be noted that:

[0073] For visible light of different brightness and color, including white light, it can be realized through the liquid crystal display screen in the light stimulus source S, and the brightness and display mode of the display screen can be controlled;

[0074] Different display contents can be realized through the liquid crystal display screen in the light stimulus source S, which can display different contents and can be displayed in different ways;

[0075] For monochromatic stimulation light of different wavelengths, it can be realized through the corresponding LED in the light stimulation source S, and the brightness and display mode of the LED can be controlled;

[0076] Different distances can be achieved by moving the lens L1 to different positions in the optical path, and different positions correspond to different distances from the stimulus source to the human eye.

[0077] The stimulation, illumination and imaging light paths are independent for both eyes and can act on the left and right eyes individually or simultaneously. During monocular detection, the stimulation source and environmental factors of the opposite eye are not affected.

[0078] Embodiment 3:

[0079] Reference Figure 3 ,A real-time detection and analysis system for pupil reflex ,The system requires continuous real-time image acquisition R01, storage R06 and processing R02, which requires large computation and ,serial processing is time-consuming. Therefore, the software divides threads to parallel ,process image acquisition, storage and processing to improve the ,processing efficiency.

[0080] Image processing R02 includes filtering, enhancement and screening.

[0081] The burr noise of gray value mutation in the image will interfere with the accuracy of edge detection. The bilateral filtering algorithm can filter out the noise while retaining the edge of the image.

[0082] By performing differential operations on the grayscale amplitudes of pixels in all directions, the grayscale values ​​of points with uniform changes are reduced, and areas with drastic changes are enhanced, thus completing the image enhancement process.

[0083] Not all enhanced points in the image are edges, so it is necessary to filter edge points and judge whether the image meets the requirements based on this. Unqualified images will not be processed, such as those with blinking eyes or excessive eyelashes.

[0084] Pupil recognition R03 determines the threshold of image binarization through the grayscale histogram, performs binarization processing, connects the white pixels on the edge of the image with smooth arcs, and completes pupil boundary recognition.

[0085] Eye position correction R04 corrects pupil distortion caused by eye movement. When the eyes look straight ahead, the conjunctiva around the pupil is in a certain proportion.

[0086] When the eyes move, the proportion of the conjunctiva around the pupil changes, and the difference between these two situations can be used to correct image distortion.

[0087] First, calculate the proportion of conjunctiva around the pupil in the collected image, draw a proportion distribution map, and take the one with the largest distribution as the image of the eye facing forward.

[0088] By calculating the difference between each picture and the frontal view of the eye one by one, the corresponding vanishing line equation can be obtained, and the projection transformation matrix can be inversely solved. This matrix can be used to transform the image to correct the pupil distortion caused by eye movement.

[0089] Optical correction R05 corrects pupil distortion caused by corneal optical magnification. The corneal curvature radius r and anterior chamber depth d of the subject are easily obtained clinically. The refractive index n of the aqueous humor and the refractive index n' of the cornea are known constants, from which the corneal optical magnification β can be obtained as follows:

[0090] β=r / (n'r+nd-d)

[0091] Data calculation R07, R08, R09, during the pupil reflex process, the infrared photography module continuously collects pupil images at a rate of 25 frames per second. After the host computer software performs image processing and pupil boundary recognition and fitting, the pupil diameter and area of ​​each frame image can be calculated. With the pupil reflex time as the horizontal axis and the pupil diameter or area as the vertical axis, a curve of the pupil diameter or area changing over time can be drawn. Thus, the relevant parameters of the pupil reflex can be defined and calculated for clinical use. The pupil diameter and area here can be selected without correction, or after eye position correction and / or optical correction. The definition and calculation instructions of the pupil reflex related parameters are shown in Appendix 1.

[0092] Data analysis R10, R11, and R12 show that different stimulus sources and stimulus methods cause different pupillary responses, which correspond to different diseases in clinical practice. The stimulus source parameters and pupillary response parameters can characterize different diseases and the degree of disease development.

[0093] The present invention establishes a data feature library corresponding to normal people and people with different diseases, and provides reference data and diagnosis results of the subjects for clinicians by calculating the difference between the disease data of the subjects and the data feature library.

[0094] First, select the sample eigenvalues. The eigenvalue vector x is expressed as follows, where T is the transposed symbol: x = (Dmin, Dmax, LDfs, TDfs, ADfs, ΔDD, ΔDL, ΔDT, ΔDA, SI,

[0095] ΔSI, EI, ΔEI) T

[0096] The sample library can be expressed as Where n is the number of samples and m is the dimension of the feature vector.

[0097] Then, the features are normalized. The normalization formula is as follows:

[0098]

[0099] The normalized sample library is expressed as Where n is the number of samples and m is the dimension of the feature vector.

[0100] Based on the above feature vector selection and feature normalization processing, we can obtain the feature database of normal people, glaucoma patients, diabetic patients, optic neuropathy patients, retinal dysfunction patients (cone and rod abnormalities, etc.), iritis patients, cataract patients, craniocerebral injury patients, drunkenness, drug abuse and poisoning. The feature database can be expressed as (ω1, ω2, ..., ωc), where C is the number of feature libraries. Each feature database category has Ni samples, where i = 1, 2, ..., c.

[0101] The distance function is as follows:

[0102]

[0103] Where y is the unknown sample, yi is the feature database sample, is the number of feature database samples.

[0104] Calculate the distance between the unknown sample y and all samples in the database (ω1, ω2, ..., ωc), and take the k closest distances of the unknown sample y. It can be seen that among the k closest distances, there are k1 samples from the ω1 class, k2 samples from the ω2 class, ..., kc samples from the ωc class.

[0105] The discriminant function is defined as:

[0106] Gi(y)=ki, where i=1,2,…,c

[0107] Define the decision rule as:

[0108] like And Gj(y)>(k+1) / 2, then the unknown sample y∈ωj, otherwise y is not classified.

[0109] This embodiment adopts a binocular isolation and closure design in terms of structure and optical path design, and integrates binocular images into one image sensor. This design can not only stimulate and detect the left and right eyes simultaneously or separately, but also is not affected by the inspection environment, and reduces costs.

[0110] This embodiment uses image processing technology to filter out inevitable interference factors in long-term detection, such as blinking, eyelashes, etc., thereby improving the reliability of the data; uses eye position correction technology to correct pupil deformities caused by eye movement, head deviation, etc., thereby improving the accuracy of the data; uses optical correction technology to solve the distortion of pupil images caused by optical effects and obtain real pupil data.

[0111] This embodiment provides a variety of stimulation sources and a variety of stimulation methods, and can expand more stimulation sources. Corresponding detection programs are set for different diseases to detect pupil reflex conditions in a targeted manner. For the examination results, multiple categories of pupil reflex parameters are defined and characteristic parameters are selected to establish a characteristic database of normal people and people with different types of diseases. At the same time, an intelligent classification method is provided for clinical diagnosis reference. The present invention not only improves the measurement accuracy and expands the application field, but also improves the clinical practicality.

[0112] The above description is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical scheme and inventive concept of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. A pupil reflex real-time detection and analysis system, characterized in that: include: Data processing system 01, control system 02, light stimulation module 03, extended stimulation module 04, pupil distance adjustment module 05, focus adjustment module 06, infrared photography module 07, infrared lighting module 08 and distance adjustment module 09; The data processing system 01 is used for checking mode setting, video image storage and processing, data calculation and analysis, data storage and database management, and at the same time communicates with the control system 02 to issue control instructions; Select the corresponding inspection mode in the data processing system 01, and the inspection mode sets the intensity and stimulation method of a single or combined stimulus source; the data processing system 01 transmits the instruction to the control system 02, and the system starts working. The data processing system 01 receives the video image and starts processing the image, identifies the pupil, and finally calculates and analyzes the pupil data.

2. A pupil reflex real-time detection and analysis system according to claim 1, characterized in that: The control system 02 is used to receive control instructions, control the pupil distance adjustment module 05 to complete pupil distance adjustment, and the focus adjustment module 06 to complete imaging focus adjustment; the distance adjustment module 09, the light stimulation module 03 and the extended stimulation module 04 corresponding to the inspection mode start working after receiving the instructions, and the infrared photography module 07 collects video and transmits it to the data processing system 01 synchronously; The infrared photography module 07 is composed of an infrared camera and an imaging optical path. The infrared camera is used to continuously and real-timely collect human eye images. The imaging optical path acts independently and is not affected by the illumination optical path and the stimulation optical path. The infrared lighting module 08 is composed of an infrared light source and a light homogenizer, and is used to provide the lighting required for infrared imaging. The light homogenizer evenly projects the infrared light source on the left and right eyes to obtain a clear binocular image with consistent brightness. The binocular lighting system is independent and can act on the left and right eyes separately or simultaneously. The light stimulation module 03 includes a light stimulation source and a light stimulation optical path. The light stimulation source is used to provide light stimulation of different wavelengths, different colors and white light, and can provide different display contents. The intensity and stimulation mode of the light stimulation source can be adjusted, and the brightness, contrast and display mode of the display content can also be adjusted. The light stimulation optical paths of both eyes are independently designed and can act on the left and right eyes separately or simultaneously. During monocular detection, it is not affected by the stimulation source of the opposite eye and environmental factors. The extended stimulation module 04 is composed of an external stimulation source and a communication interface. The external stimulation source is connected to the system through the communication interface to provide stimulation that can cause pupil reflex. The external stimulation source communicates with the control system 02 through the communication interface to receive control instructions and transmit data, so as to facilitate data collection and analysis. The distance adjustment module 09 is composed of a moving mechanism and an optical lens, and is used to adjust the distance between the light stimulus source and the human eye. The optical lens is used for imaging the light stimulus source and is installed on the moving mechanism. The moving mechanism is installed on the stimulation light path between the light stimulus source and the human eye. The optical lens moves along with the moving mechanism in the stimulation light path to change the imaging distance between the stimulation source and the human eye. The pupil distance adjustment module 05 is composed of a moving mechanism and a reflector, and is used to adjust the distance between the pupils of both eyes. Two sets of reflectors are symmetrically mounted on the moving mechanism. The moving mechanism moves to change the distance between the two sets of reflectors. The reflectors face the positions of the left and right eyes, and the left and right eyes are completely imaged on the infrared camera. The focus adjustment module 06 consists of a moving mechanism and an imaging lens, and is used to adjust the imaging focus. The imaging lens is installed on the moving mechanism, and the moving mechanism is installed in the imaging optical path of the human eye. The imaging focus can be adjusted by adjusting the position of the moving mechanism in the imaging optical path to obtain a clear pupil image.

3. A pupil reflex real-time detection and analysis system according to claim 1, characterized in that: The data processing system 01 processes the collected images, identifies the pupil boundary, corrects the errors caused by eye position and optics, and finally calculates the data and gives the intelligent diagnosis results. The steps of image processing and analysis by the data processing system 01 are as follows: S1, collect and store images; S2, image processing; S3, pupil recognition; S4, eye position correction; S5, optical correction; S6, data calculation; S7. Data analysis.

4. A pupil reflex real-time detection and analysis system according to claim 3, characterized in that: The steps S1 to S3 use a multi-threaded processing method to collect, store, process and recognize video images, thereby improving processing efficiency.

5. A pupil reflex real-time detection and analysis system according to claim 3, characterized in that: The step S2 includes filtering, enhancing and screening when processing the collected image.

6. A pupil reflex real-time detection and analysis system according to claim 3, characterized in that: The steps S3, S4 and S5 perform pupil recognition on the processed image, correct the error caused by pupil image deformation due to eye movement, nystagmus and strabismus during the detection process, and correct the influence of the cornea and anterior chamber on the optical enlargement of the pupil.

7. A pupil reflex real-time detection and analysis system according to claim 3, characterized in that: Steps S6 and S7 calculate and analyze pupil-related data. The data calculation can select pupil data before or after correction, and define and calculate pupil area and its change data, pupil morphology irregularity data, and pupil edge irregularity data.

Images