3438 results about "Human eye" patented technology

The invention discloses a high-precision image processing method and system based on illumination adaptive compensation, and relates to the technical field of computer vision and image processing, and the method comprises the steps: inputting an original image, and dividing the image into a high-frequency edge layer, an intermediate-frequency texture layer and a low-frequency illumination layer through a multi-scale residual network; acquiring illumination intensity, color temperature and scene categories in real time by using an ambient light sensor and a scene semantic segmentation model, and generating dynamic compensation parameters; carrying out dynamic range expansion on a low-frequency illumination layer based on a physical illumination model, and adjusting the weight of highlight suppression and dark area enhancement through a self-adaptive S-shaped exposure curve; a double-branch generative adversarial network is adopted, noise suppression and super-resolution reconstruction are carried out on the high-frequency layer, and texture detail enhancement is carried out on the intermediate-frequency layer; aligning the data of the depth camera and the infrared sensor with the visible light image through a cross-modal fusion module; and performing tone mapping on the fused image based on human visual characteristics, and outputting an enhanced image with a high dynamic range and reserved details.

The invention relates to the technical field of semiconductors, and particularly discloses a multiband LED chip and a preparation method thereof, and a white light LED light source, the LED chip comprises a light-emitting layer, and the light-emitting layer comprises a first cyan light multi-quantum well layer, a second long-wave blue light multi-quantum well layer, a third short-wave blue light multi-quantum well layer and a fourth purple light multi-quantum well layer which are sequentially stacked in the epitaxial direction; the first cyan light multi-quantum well layer, the second long-wave blue light multi-quantum well layer, the third short-wave blue light multi-quantum well layer and the fourth purple light multi-quantum well layer are each of a periodic structure formed by alternately stacking well layers and barrier layers, and the light-emitting wavelengths of the first cyan light multi-quantum well layer, the second long-wave blue light multi-quantum well layer, the third short-wave blue light multi-quantum well layer and the fourth purple light multi-quantum well layer are sequentially decreased. And the forbidden band widths of the barrier layers are sequentially decreased. According to the LED chip, the overall excitation efficiency can be effectively improved, and the output full-spectrum white light LED light source is higher in color rendering index, better in stability, less in damage to human eyes and high in light emitting efficiency.

The invention relates to the technical field of display, and particularly discloses a dynamic ambient light adaptive OLED display optimization method and system, and the method comprises the steps: obtaining an ambient light time sequence data set of an environment where an OLED display screen is located, and synchronously obtaining real-time display parameters and historical brightness adjustment data of the display screen; acquiring ambient light sensing features according to the ambient light time sequence data set; obtaining photo-thermal structure coverage area data of the OLED display screen according to the real-time display parameters; and acquiring preliminary optimization parameters according to the ambient light sensing characteristics and the photo-thermal structure coverage area data. According to the invention, illumination intensity, spectrum drift and contrast change are captured in real time in combination with ambient light perception characteristics, the one-sidedness of adjustment only according to brightness traditionally is solved, reflection can be reduced through photothermal structure deformation under strong light, brightness can be improved to offset interference, and human visual characteristics can be matched under weak light. And the display definition and the visual comfort in different environments are effectively improved.

The invention provides a driver fatigue monitoring technology using eye movement tracking, and relates to the field of auxiliary driving, and the technology comprises the steps: collecting a face image frame through a front-end camera, carrying out Medipe (Media Pipeline) detection, recording a head posture, and recognizing an iris center region; extracting continuous eye closing time and mouth state information of the driver through the face information; a PNP algorithm is used; a world coordinate system and a camera coordinate system are established, and the sight line vector and the external environment are located in the same space; modeling is carried out on the human eyes and the fixation area; coordinates of a fixation point in a three-dimensional space are obtained through calculation of the geometric model; real-time attention analysis is carried out through the fixation point, and an analysis result is determined; the attention change condition and the fatigue state of the driver are effectively recognized through a BP neural network in combination with a fixation point analysis result. And early warning measures are taken in time to remind a driver. The system is crucial for improving the driving safety, and necessary warning and intervention can be provided when the driver is distracted or fatigued.

Systems and methods for delivering multiple ocular implants to reduce intraocular pressure are disclosed. The ocular implants can be implanted at multiple sites within a single human eye without requiring removal of the delivery apparatus from the eye. A system for delivering multiple ocular implants can include at least two implants preloaded within a delivery device and configured to be implanted within the eye, a metering device configured to transfer energy to the implants for delivery at selected locations within the eye, wherein the metering device is configured to meter a variable amount of energy for each implant delivery event in the eye. The system can further include an injector mechanism configured to serially engage and drive each of the implants.

A line-of-sight direction tracking method includes: providing corneal reflection for an eye of a user by using a plurality of light sources, and capturing images including a face of the user by using a plurality of cameras; determining coordinates of a light source reflection point and coordinates of a pupil center in a world coordinate system by means of a human eye feature set acquired from the images including the face, based on hardware calibration parameters; determining a line-of-sight optical axis according to the coordinates of the light source reflection point and the coordinates of the pupil center, and reconstructing, based on the line-of-sight optical axis, a line-of-sight visual axis by means of a compensation angle; and determining a point of sight on a target object according to the line-of-sight visual axis and a position of the target object in the world coordinate system.

The invention belongs to the technical field of retina imaging and fundus three-dimensional reconstruction, and particularly relates to a color three-dimensional fundus imager optical system. Comprising a large eye objective lens, a dichroscope, a hollow reflector, a focusing lens, a spectroscope, a retina lens, a retina imaging chip, a fixation lens, a sighting mark lamp, an illumination lens, an annular light source, a pupil lens, a pupil imaging chip, an infrared lens, an infrared dodging lens, an infrared light source, a scanning lens, a three-dimensional galvanometer, a collimator, a coupler, a frequency sweeping light source and a dispersion compensator. A polarization controller, a coupler and a photoelectric detector. The system is mainly composed of a visible light imaging light path, an infrared imaging light path and a laser imaging light path, the visible light imaging light path is used for shooting color fundus two-dimensional images, the infrared imaging light path is used for real-time positioning and focusing of human eye pupils, and the laser imaging light path is used for three-dimensional tomography of retinas. The objective of the invention is to solve the problem that existing medical equipment cannot acquire fundus color three-dimensional images.

The invention discloses a backlight source partition dimming control method, and belongs to the field of data security, and the control method comprises the following specific steps: I, analyzing the data features of an input image, recognizing a highlight motion region, and predicting and optimizing a current backlight partition dimming strategy; iI, adjusting a backlight area in real time according to the brightness, contrast and color change of the input content, and constructing a multi-level light diffusion coupling model after partition adjustment; the backlight partition can be adaptively adjusted according to the image content, the local contrast ratio and energy efficiency are improved, more uniform light distribution is achieved, the problems of halo and uneven brightness are reduced, the dimming precision is improved, the service life of a light source is prolonged, the light overflow effect of the partition edge is effectively reduced, and the picture layering sense is improved; the subjective image quality experience is effectively improved, the light efficiency utilization rate is improved, meanwhile, image quality and power consumption optimization can be considered, brightness adjustment better conforms to human eye visual characteristics, visual fatigue is reduced, and it is ensured that the optimal image quality is maintained under the lowest power consumption.

The invention discloses an intelligent lighting street lamp system and a control method thereof, and the method comprises the steps: obtaining an LED drive current and a dual-energy output parameter, and generating a PWM drive characteristic through frequency decomposition; performing pre-dimming compensation on the LED based on the human eye brightness sensitivity to obtain a luminous flux control feature and an energy prediction feature; obtaining LED junction temperature change data and carrying out thermal characteristic analysis to obtain LED driving compensation characteristics; dividing an illumination control time window and dynamically adjusting an LED driving current waveform to obtain a time sequence driving characteristic; and fluctuation analysis is carried out according to the real-time luminous flux data, and linkage adjustment is carried out on PWM driving characteristics, luminous flux control characteristics, LED driving compensation characteristics and time sequence driving characteristics. According to the invention, the rapid and accurate adjustment of the LED driving current can be realized, the influence of the dual-energy output fluctuation on the illumination quality is effectively inhibited, and the accurate matching problem of the energy supply and the illumination demand in a key time window is solved.

The invention relates to a brightness control method and system for a vehicle-mounted head-up display and the display. A dynamic adaptation model based on ambient light intensity is constructed by combining human eye visual adaptation characteristics and HUD field angle characteristics, visual adaptation behaviors of human eyes under different illumination conditions can be simulated, and the brightness of the HUD is automatically adjusted according to different light intensity changes, so that information display better conforms to the visual comfort of the human eyes. According to the invention, the maximum HUD display brightness acceptable by human eyes under different illumination conditions can be calculated, the brightness adjustment values under different illumination conditions are dynamically calculated by using the De Boer coefficient, and the brightness of the HUD display is adjusted in real time according to the external light environment, so that the brightness adaptive dynamic closed-loop adjustment is realized, the HUD is effectively prevented from being too bright under low ambient light, and the HUD display quality is improved. The visual blinding phenomenon caused by instantaneous strong light reflection or bright element emerging in a dark scene is avoided, the function safety level of the vehicle-mounted HUD system is remarkably improved, and the ISO 26262ASIL-B level safety requirement is met.

An infrared image processing method, apparatus and device, and a storage medium are provided. The infrared image processing method includes: acquiring an infrared image; performing target detection on the infrared image to determine target objects within the infrared image and obtaining a target detection result that include a category of each of the target objects; determining a target object of interest from the target objects; determining a contour area of the target object of interest; performing true-color processing on the contour area to highlight the target object of interest. By highlighting the target object of interest in the infrared image through true-color processing, the target object of interest can be displayed more prominently with different colors and textures according to its category, so that the target object of interest can be presented more clearly in the infrared image clearer and easier for the human eye to observe and recognize.

The invention discloses a cockpit visual work efficiency evaluation method. The method comprises the following steps: establishing a cockpit geometric model according to a real cockpit; establishing a cockpit light environment model according to the cockpit light environment parameters; establishing a cockpit optical material model according to the optical material parameters of the inner and outer surfaces of the cockpit; fusing and establishing a cockpit optical model; a simulation detector is arranged on the cockpit optical model; according to the cockpit optical model and the analog detector, human eye vision optical simulation and dazzle source space tracking and positioning are carried out; according to a glare source space tracking and positioning result, a cockpit structure is optimized; and performing cockpit visual work efficiency evaluation according to a cockpit structure optimization result. According to the cockpit visual work efficiency evaluation method, reasonable evaluation of cockpit visual work efficiency readable visibility in various environments is achieved, simulation is conducted on the cockpit light environment through computer software, and adjustment can be conducted according to the working habit, the vision condition, the age and other factors of each pilot.

Systems and methods for delivering multiple ocular implants to reduce intraocular pressure are disclosed. The ocular implants can be implanted at multiple sites within a single human eye without requiring removal of the delivery apparatus from the eye. A system for delivering multiple ocular implants can include at least two implants preloaded within a delivery device and configured to be implanted within the eye, a metering device configured to transfer energy to the implants for delivery at selected locations within the eye, wherein the metering device is configured to meter a variable amount of energy for each implant delivery event in the eye. The system can further include an injector mechanism configured to serially engage and drive each of the implants.

The invention relates to a low-illumination underwater image enhancement method based on double-domain adaptive collaboration, and the method employs a multi-scale mixed attention mechanism to collaboratively integrate the spatial domain and frequency domain information of an image, and obtains the key feature information of the image. And on the basis of the obtained image key feature information, adaptive parametric convolution is used, convolution kernel parameters are dynamically adjusted by using a multi-branch convolution structure, and image dynamic key information is obtained. And a dynamic content perception Markov discriminator is used to cooperatively perceive space and frequency characteristics, and the authenticity of the enhanced image is discriminated, so that the fidelity of the texture is improved. And finally, optimizing the generator and the discriminator by using adversarial training, and finally outputting an enhanced underwater image by using the optimized generator. The method can be embedded into an underwater robot platform, image quality enhancement is achieved with fewer computing resources in a low-illumination complex water environment, image definition, contrast and color consistency are improved, the enhanced image is closer to human eye visual perception, and the visual perception capability and operation reliability of an underwater robot are remarkably improved.

The embodiment of the invention provides an eyepiece system and optical equipment. The eyepiece system comprises a first element group and a second element group; the first element group is arranged close to the human eye side and comprises a first lens, the first lens is provided with a first surface close to the display side and a second surface close to the human eye side, the first surface is provided with a light splitting element and a circularly polarized light generation assembly, and the circularly polarized light generation assembly is located on the side, away from the first lens, of the light splitting element; a first phase retarder and a polarization reflection element are sequentially arranged on the second surface; the second element group is arranged close to the display side and comprises at least two lenses, and the Abbe number of at least one lens is less than or equal to 40; the eyepiece system satisfies the following conditions: 0.01 < = (D1max * phi1) / (D2max * phi2) < = 0.3; wherein phi 1 is the focal power of the first element group, phi 2 is the focal power of the second element group, D1 is the maximum effective optical aperture of the first element group, and D2 is the maximum effective optical aperture of the second element group.

The disclosure provides smart swimming goggles, including a swimming goggle eyecup, a housing attached to the swimming goggle eyecup and internally provided with a closed cavity, and a near-eye display system arranged in the closed cavity of the housing; the near-eye display system includes a light source device, an optical assembly at least including a waveguide lens, a processor, and a wireless communication module; an area, right facing the waveguide lens, of the housing is a light-transmitting area; the optical assembly is configured to transmit projection light outputted by the light source device to a human eye through the waveguide lens; the processor is in communication connection with an external terminal device through the wireless communication module, so that information interaction between the processor and the external terminal device is facilitated; and the housing is further provided with a waterproof key-attached to the processor and configured to send a trigger instruction to the processor when pressed, so that the processor controls a working state of the light source device according to the trigger instruction. According to the smart swimming goggles in the disclosure, more swimming information data is able to be provided for a swimmer, the swimming interestingness is enhanced, and the personalized requirements of a user are met.

The invention discloses a screen shooting traceability method, device and equipment and a readable storage medium, which are applied to the field of computer software, and comprise the following steps: encoding watermark information to obtain a watermark information sequence; embedding the watermark information sequence into the image through an R channel, a G channel and a B channel of RGB (Red, Green, Blue) to obtain an image with a watermark; and acquiring the shot image with the watermark image, and tracing to obtain watermark information based on the shot image. According to the method, the watermark is generated by using the RGB channel of the single pixel image, so that the visual concealment of the watermark image is improved, the difficulty in perceiving of human eye recognition is ensured, and the visual quality of a user is not influenced; the watermark embedding position is not influenced by an original image carrier, and watermark information can be hidden in any area of the image; and the watermark information recovery success rate is high.

The invention discloses a naked eye 3D transparent display imaging system, and relates to the technical field of 3D transparent imaging. The method comprises the steps that a multi-scale parallax layer construction module is used for decomposing a multi-scale parallax layer and dividing regional images; the dynamic viewpoint prediction module is used for generating two-eye three-dimensional space coordinates through human eye parameters; the parallax scheduling mapping module is used for performing space mapping according to the binocular three-dimensional space coordinates to generate a target visual angle image; the background compensation module is used for carrying out brightness correction on the target view angle image to obtain a compensated view angle image; the directional light field regulation and control module is used for processing the compensation view angle image and generating directional light field information; and the full-layer fusion module is used for processing directional light field information, eliminating interface artifacts between layers and generating a naked-eye 3D transparent display image. Through multi-scale parallax construction, dynamic viewpoint tracking and multi-layer light field fusion, the visual angle adaptability and image fusion quality of naked eye 3D display are improved, and a transparent three-dimensional imaging effect with high immersion, high consistency and high definition is realized.

The invention discloses a semiconductor wafer defect detection method and system based on machine vision, and relates to the technical field of wafer defect detection.The method comprises the steps that a to-be-detected semiconductor wafer image is obtained; extracting a grain image based on the wafer image; based on the grain image and a preset image, a specific position with a defect is obtained, and the preset image is a grain image without a defect; determining morphological characteristics of the defect according to the specific position of the defect; according to the method, the semiconductor wafer defects are detected on the basis of machine vision, human eyes are replaced by a machine for measurement and judgment, the problem that misjudgment is prone to occurring or the detection speed is low when manual detection is conducted through a microscopic system is solved, meanwhile, image processing is conducted on the basis of crystal grain images, and the detection accuracy is improved. Interference of irrelevant areas is avoided, and detection efficiency and accuracy are improved.

The invention provides a human-eye-imitating lens, and the lens sequentially comprises a first lens group from the object side to the image side, the first lens group sequentially comprises a first lens to an eleventh lens from the object side to the image side of the human-eye-imitating lens, and the combined focal length of the first lens group is negative; the second lens group sequentially comprises a twelfth lens to a seventeenth lens from the object side to the image side of the human eye imitating lens, and the combined focal length of the second lens group is positive; wherein the first lens to the seventeenth lens are spherical lenses; the distance TTL from the object side surface of the first lens to the imaging surface of the human-eye-imitating lens on the optical axis of the human-eye-imitating lens and the effective focal length f of the human-eye-imitating lens meet the following conditions: 24.0 lt; tTL / flt; 34.9). The problem that in the prior art, miniaturization and high image quality of a human-eye-imitating lens are difficult to consider at the same time is solved.

A tattoo detection-based method and system of performing an authentication of video of a person in order to authorize access to a secured resource is disclosed. The user provides image data in which they present a region of skin on which a pattern or code has been tattooed with ink that is invisible to the human eye. The system and method are configured to evaluate the image data to determine whether the cloaked token is present. If a cloaked token is present, the system determines the image is authentic and can verify an identity of the person. In some cases, the system can further be configured to automatically grant the person access to one or more services, features, or information for which he or she is authorized.

The invention discloses a camera monitoring system based on wireless communication and a communication protocol optimization method, and relates to the technical field of communication optimization, the camera monitoring system is composed of a monitoring camera group, a wireless communication network, an edge computing unit, a cloud data center and a user interaction terminal; the monitoring camera group simulates human eye vision, adjusts a visual angle and a resolution ratio according to needs, and collects data; a wireless communication network is combined with quantum encryption and a traditional technology, and a communication mode is intelligently selected; the edge calculation unit processes data with low power consumption by using a neuromorphic chip; the cloud data center fuses the block chain and federal learning analysis data; the user interaction terminal has holographic projection and emotion perception functions and provides personalized services. According to the invention, the modules are collaboratively innovated, the pertinence of collected data is strong, the communication is efficient and safe, the processing is fast and accurate, and the interaction experience is good; the system has the functions of intelligent analysis, energy-saving management and the like, the intelligence and reliability of the system are improved, and the system has wide application prospects and market value.

The invention provides an infrared image enhancement method based on CLAHE. The infrared image enhancement method comprises the following steps: step 1, obtaining an original image I; 2, processing the original image I to obtain a Gaussian smooth layer and a Gaussian detail layer; step 3, performing histogram statistics on the Gaussian smooth layer, correcting a histogram to retain an effective gray level, and performing histogram mapping; step 4, performing gamma correction on the mapped image; step 5, carrying out four-block processing on the image after gamma correction, then carrying out statistics on a histogram of each block, and then correcting each histogram; step 6, carrying out platform histogram equalization on the Gaussian detail layer to obtain a detail enhancement graph; step 7, adding the detail enhancement image and the dimming smooth image to obtain # imgabs0 #, and performing anti-overflow processing on the # imgabs1 #; according to the infrared image enhancement method based on the CLAHE, the comfort level of human eyes is improved, the contrast ratio of an image area is improved, image details are enhanced, and the image sharpness is improved.

The invention relates to the technical field of tunnel lighting, in particular to a tunnel portal lighting control method and system, and the method comprises the steps: S1, obtaining a first image in a short exposure time mode; obtaining a second image in a long exposure mode; s2, synthesizing the second image and the first image into a high-dynamic-range image, and dividing the high-dynamic-range image into a low-brightness area, a transition area and a high-brightness area; s3, generating a brightness transition curve of the transition area; s4, determining a brightness adjusting curve of the transition area according to the maximum brightness of the tunnel portal and the light and shade adaptive pupil area change rate; s5, determining the target brightness of each part of the transition area according to the brightness transition curve and the brightness adjustment curve; and S6, adjusting the brightness of the illumination lamp in the transition area to enable the brightness of each part of the transition area to reach the target brightness. The target brightness is determined according to the brightness transition curve in combination with the brightness adjustment curve, the influence of the brightness adaptive pupil area change rate on the sight line is fully considered, and the change of the brightness of the tunnel portal is more adaptive to the function of human eyes.

The invention discloses a visual angle tracking grating stereo display system comprising a 3D camera grating display device used for obtaining viewer 3D information; the eyeball position tracking module is used for acquiring real-time spatial position coordinates of the eyes of the audience relative to the 3D camera; the pose calibration module is used for acquiring a spatial relationship between the 3D camera and the display; and the visual angle rendering and grating interlaced graph generation module is used for calculating the spatial position of the human eyes on the display screen and the mapping of each grating strip in a screen pixel coordinate system after acquiring the positions of the eyes and the relative poses of the display screen and the 3D camera, generating a grating stereoscopic display image suitable for the eyes, and sending the grating stereoscopic display image to a display to be output. According to the method and the device, the viewpoint self-adaptive three-dimensional display of the eyes of one or more audiences is realized, the calculation complexity is reduced, the three-dimensional vision consistency can be ensured, the picture which should be seen by the viewing angle can be accurately rendered, and the problem of blurring or 3D picture distortion is avoided.

A low-illuminance image enhancement method based on virtual exposure and dual fusion, which relates to the technical field of image processing. The method comprises the following steps: step 1, receiving an original image; step 2, performing different levels of exposure on the original image to acquire a plurality of virtual images, and generating a virtual-image sequence; step 3, calculating a weight map for each virtual image in the virtual-image sequence, and obtaining a brightness-enhanced image after fusion; and step 4, extracting detail information from the brightness-enhanced image and fusing same with details of the original image, so as to obtain an enhanced image. The method has a relatively small brightness distortion and contrast distortion, and can effectively preserve visual information of an image itself, making it more compatible with the visual enjoyment of human eyes.

The invention relates to the technical field of semiconductor devices, in particular to a multiband light-emitting diode epitaxial structure and a preparation method thereof. The multiband light-emitting diode epitaxial structure sequentially comprises a substrate, a buffer layer, an N-type semiconductor layer, a low-temperature stress release layer, a multi-quantum well light-emitting layer, an electron blocking layer and a P-type semiconductor layer from bottom to top, the multi-quantum well light-emitting layer comprises four sub-layers, namely a first long-wave cyan light multi-quantum well layer, a second short-wave cyan light multi-quantum well layer, a third long-wave blue light multi-quantum well layer and a fourth short-wave blue light multi-quantum well layer which are sequentially stacked and grown from bottom to top, and the light-emitting wavelengths are sequentially decreased. Meanwhile, by combining the design of the sub-layers of the multiple quantum well light-emitting layers and through the synergistic effect of exciting light of all wave bands, the overall excitation efficiency can be improved, full-spectrum white light is output, the full-spectrum white light is closer to sunlight, the light-emitting efficiency is high, the color rendering property is good, the stability is better, and harm to human eyes is small.

The invention discloses a brightness adjustment control method and a brightness adjustment device, and relates to the technical field of vehicle-mounted systems. The brightness adjustment control method comprises the following steps: acquiring light parameters, position data and time information; determining a current scene of the vehicle; and generating a corresponding control signal to drive the backlight source to work. According to the method, the light parameters, the position data and the time information are fused to realize multi-dimensional environment perception and dynamic scene discrimination, so that the environment state of the vehicle is accurately identified, the scene classification accuracy is improved, and then, the adaptive brightness mapping algorithm based on scene feature matching is utilized to improve the accuracy of scene classification. Smooth and continuous control signals are generated according to human eye perception characteristics to drive a backlight source, and visual fatigue caused by brightness step in a traditional scheme is avoided; meanwhile, instantaneous environment interference is filtered out through position pre-judgment and illumination trend analysis, and the system stability under the complex working condition is enhanced.

The invention discloses an energy operator and multi-modal feature fused screen defect detection method and system, and the method comprises the following steps: carrying out the form energy calculation of an extracted defect contour, and representing the curvature through a low-frequency component energy value; calculating a defect width standard deviation; a defect area brightness mean value is extracted in the HSV space, the scratch brightness mean value is higher than the broken filaments, gray gradient changes are calculated in the defect long axis direction, and the broken filament gradient fluctuation amplitude is smaller than that of scratches; constructing a manual annotation data set, and establishing a mapping relationship between the multi-modal features and manual scores through a regression model; the classification threshold is dynamically adjusted, and it is ensured that the Kappa consistency coefficient of a machine judgment result and manual reinspection is larger than or equal to 0.85. According to the method, the defect form energy operator and the multi-mode optical characteristics are fused, a quantitative classification model is constructed, calibration mapping of a machine vision result and human eye detection is achieved, and the defect classification precision and production line detection consistency are improved.

The invention discloses a beer sealing cover defect identification method based on image intelligent identification, and relates to the field of image identification, and the method comprises the steps: extracting the brightness distribution, color histogram and edge gradient features of a picture shot by a camera; constructing a precise light type calculation model, and dynamically adjusting brightness transition curves of adjacent partitions; identifying a high-contrast edge in the picture, and dynamically adjusting a brightness decay curve of adjacent partitions according to an edge brightness difference; color calibration is carried out through a three-dimensional color lookup table; and performing defect identification on an actual sealing cover image by using a dual mechanism. The light rays of the light source emitter are regulated and controlled, so that under the contrast condition, a machine and human eyes are easy to identify, the halo diffusion radius is reduced, and color calibration is carried out through the three-dimensional color lookup table, so that the machine and the human eyes are prevented from being influenced by images during identification, and the overall identification accuracy is ensured.