5242 results about "Light reflection" patented technology

Systems, methods, and non-transitory computer readable media including instructions for interpreting facial skin micromovements are disclosed. An example head mountable system includes a housing configured to be worn on a head of a wearer. The head mountable system also includes at least one detector integrated with the housing and configured to receive light reflections from a facial region of the head and to output associated reflection signals. The head mountable system also includes at least one microphone associated with the housing and configured to capture sounds produced by the wearer and to output associated audio signals. The head mountable system also includes and at least one processor in the housing, configured to use both the reflection signals and the audio signals to generate output that corresponds with words articulated by the wearer.

The invention discloses a PCB three-proofing coating quality detection method and system. The method comprises the steps that a visible light reflection image of the surface of a PCB and scattering spectrum data of a near-infrared band are acquired; performing spatial filtering processing on the visible light reflection image to extract interface area pixels, calculating coating layer thickness gradient distribution based on Mie scattering characteristics in scattering spectrum data, and fusing to generate an edge gradient distribution map; and according to the gradient amplitude change rate in the edge gradient distribution map, segmenting the effective coverage area of the coating layer by adopting a self-adaptive dynamic threshold algorithm, and extracting curvature extreme point density and boundary fractal dimension parameters at the segmentation boundary. According to the invention, three technical barriers of difficult microdefect capture, unmeasurable interface performance and delayed failure risk in traditional detection are solved, and two-dimensional accurate diagnosis of the structural compactness and interface reliability of the coating layer is realized.

The invention discloses a weldment welding seam automatic detection method and device based on machine vision, and relates to the technical field of machine vision intelligent detection. The weldment welding seam automatic detection method and device based on machine vision comprises the steps that S1, surface images and forming feature data of a weldment are collected and preprocessed to construct a standardized image feature data set; s2, the boundary clearness of the weld joint is evaluated by combining the edge strength and the contour coherence, and the main contour extraction range is dynamically adjusted; s3, analyzing abnormal focusing characteristics of the candidate area, and adjusting a defect labeling range and a detection priority; and S4, integrating the boundary definition and the abnormal focusing features, analyzing the structure abnormality, and dynamically controlling and verifying a resource allocation strategy. The problems that in the weldment detection process, obvious light reflection and texture blurring phenomena exist in a heat affected area at a weld joint, a traditional image enhancement and edge extraction algorithm is difficult to stably recognize microdefects, and the credibility of a detection result is reduced are solved.

A medical device operating as a stylet is described. The medical device can include an insulating layer (or sheath) encapsulating both a multi-core optical fiber and a conductive medium. The optical fiber can include a cladding and a plurality of core fibers spatially arranged within the cladding. Each of the core fibers can include a plurality of sensors distributed along a longitudinal length of that corresponding core fiber and each of these sensors can be configured to: (i) reflect a light signal of a different spectral width based on received incident light, and (ii) change a characteristic of the reflected light signal for use in determining a physical state of the multi-core optical fiber. The conductive medium can provide a pathway for electrical signals detected at a distal portion of the conductive medium. The conductive medium may be concentric to the cladding, but separate and adjust thereto.

The invention is applicable to the technical field of back contact solar cells, and provides a back contact solar cell, a photovoltaic module and a photovoltaic system.The back contact solar cell comprises a silicon substrate, a plurality of p-type doped regions and a plurality of n-type doped regions which are sequentially and alternately arranged on the back face of the silicon substrate in the first direction, and p-type fine grids electrically connected with the p-type doped regions; the n-type fine grids are electrically connected with the n-type doped regions, the isolation regions are arranged between the adjacent p-type doped regions and the n-type doped regions, and in the first direction, the ratio C1 of the width of the isolation regions to the width of the n-type doped regions is # imgabs0 #. And the photoelectric conversion efficiency of the solar cell is improved.

A system, apparatus and method directed to detecting damage to an optical fiber of a medical device. The optical fiber includes one or more core fibers each including a plurality of sensors configured to (i) reflect a light signal based on received incident light, and (ii) alter the reflected light signal for use in determining a physical state of the multi-core optical fiber. The system also includes a console having non-transitory computer-readable medium storing logic that, when executed, causes operations of providing a broadband incident light signal to the multi-core optical fiber, receiving reflected light signals, receiving reflected light signals of different spectral widths of the broadband incident light by one or more of the plurality of sensors, identifying at least one unexpected spectral width or a lack of an expected spectral width, and determining the damage has occurred to the optical fiber based on the identification.

The invention relates to the technical field of colloidal gold and fluorescence immunoassay detection, and discloses a fluorescence immunochromatography and colloidal gold double-platform detection method and device.The method comprises the steps that two-dimensional code information collection is carried out on a reagent card inserted into a cassette optical detection module, two-dimensional code information is obtained, and when a detection item is fluorescence immunoassay detection, the reagent card is detected to be the colloidal gold platform; collecting a fluorescence emission detection signal; when the detection item is colloidal gold detection, collecting a visible light reflection detection signal; carrying out smooth denoising processing and background correction to obtain a preprocessed detection signal; performing morphological analysis, and converting the two-dimensional image signal into one-dimensional waveform data to obtain effective signal intensity data; according to the method, the effective signal intensity data is subjected to absorbance integral quantitative calculation to obtain a T / C ratio, and the T / C ratio and the project calibration curve are converted to obtain the concentration value of the substance to be detected, so that integration of fluorescence immunodetection and colloidal gold detection is realized, and the accuracy and reliability of a detection result are improved.

The invention discloses a container number tallying identification method, and relates to the technical field of container intelligent tallying. According to the technical key points, the method comprises the following steps: deploying a multi-modal sensing device, carrying out initial calibration, and pre-training an improved YOLOv7-tiny target detection model, a transformer-based cGAN character segmentation model and a lightweight CNN-transformer-capsule network integrated hybrid recognition model; through cooperative collection of multi-modal data of the multi-modal sensing device, the system can effectively integrate texture information of RGB images, a space structure of depth images and three-dimensional coordinates of point cloud data, the problem that traditional single visual recognition is affected by illumination, shielding and the like is solved, a self-calibration mechanism corrects space-time deviation of a sensor in real time, and the accuracy of recognition is improved. The system can still accurately extract container number characteristics in complex scenes such as strong light reflection, low illumination at night, character abrasion and the like.

The invention relates to ultrahigh-transmittance anti-reflection multifunctional coated photovoltaic glass and a preparation method thereof, and belongs to the technical field of photovoltaic glass, the photovoltaic glass comprises a photovoltaic glass substrate, the photovoltaic glass substrate is provided with a high-transmittance reflective coating, the high-transmittance reflective coating comprises a silicon dioxide layer, a titanium dioxide layer and a nanometer material layer, and the nanometer material layer is arranged on the silicon dioxide layer. The silicon dioxide layer and the titanium dioxide layer are arranged between the photovoltaic glass substrate and the nanometer material. The preparation method comprises the following steps: S1, preparing raw materials; s2, preparing a coating; s3, coating process; s4, performing surface treatment on the nano structure; s5, coating curing and surface treatment; and S6, testing and evaluating the performance. According to the ultrahigh-transmittance anti-reflection multifunctional coated photovoltaic glass, the performance and durability of a photovoltaic cell can be remarkably improved, by arranging the high-transmittance anti-reflection coating, the light transmittance of the photovoltaic glass is improved, the overall photoelectric conversion efficiency can be improved by 5-8%, and light reflection loss is remarkably reduced.

The invention relates to the technical field of assembly production lines, and particularly discloses an assembly production line workpiece defect detection method and system based on machine vision. The method aims at accurately detecting the workpiece defects of the assembly production line, firstly, position information of a lens, a workpiece and a light source of a machine vision device is obtained, a basis is provided for subsequent calculation, the detection accuracy is ensured, and then the incident angle of the mirror surface is determined according to the characteristic information of the lens, influences reflected light and imaging and is a key parameter. Then obtaining imaging influence factors according to workpiece characteristics, measuring interference of workpiece surface characteristics on imaging, providing a basis for optimizing reflectivity, calculating specular reflectance through light source position information, reflecting light reflection conditions, combining the specular reflectance and the reflection conditions to obtain collaborative optimization specular reflectance, more accurately evaluating the influence of reflection on imaging, and finally, determining the influence of reflection on imaging. If the reflectivity is greater than a preset threshold value, correction is carried out, a correction angle is obtained to adjust a lens detection angle, misjudgment caused by mirror reflection is reduced, and the detection precision is improved.

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.

Systems, methods, and non-transitory computer-readable media containing instructions are disclosed for detecting and utilizing facial skin micro-motion. In some non-limiting embodiments, detection of facial skin micro-motion occurs using a speech detection system that may include a wearable housing, a light source (coherent light source or incoherent light source), a light detector, and at least one processor. The one or more processors may be configured to analyze light reflections received from the facial region to determine facial skin micromotion, and extract meanings from the determined facial skin micromotion. Examples of meanings that may be extracted from the determined facial skin micromotion may include words spoken by the individual (silent or voiced), an identity of the individual, an emotional state of the individual, a heart rate of the individual, a respiratory rate of the individual, or any other biometric, emotion or speech related indicator.

The invention relates to the technical field of precise positioning, in particular to a corneal topographic map-based full-automatic fixed-focus positioning system, which comprises an optical imaging module for acquiring multi-angle optical signals on the surface of a cornea through an optical device, processing light reflection in different areas, determining the edge of the cornea by using the intensity difference of the reflected light, and calculating the reflection angle and intensity; and identifying the light signal of the key area to obtain light reflection characteristic data. According to the method, accurate analysis of the complex form of the cornea surface is achieved through accurate analysis of the light reflection characteristic data, the accuracy of focal length control is improved, a PID control algorithm is applied, the curvature change data is combined, the high matching degree of focal length adjustment and the cornea surface curvature is ensured, the stability and response speed of focal length adjustment are improved, and the accuracy of focal length adjustment is improved. Through light path deviation correction, imaging errors caused by light path deviation are reduced, and the accuracy, the stability and the imaging quality of automatic focus fixing and positioning of the corneal topography are improved.

The invention discloses a wind power blade defect detection method based on acoustic emission, and relates to the technical field of wind power blade detection.The wind power blade defect detection method comprises the steps that multiple lasers, a multispectral camera, a thermal imaging sensor and a plurality of acoustic emission sensors are carried on an unmanned aerial vehicle, and multiple multispectral images and thermal imaging images within fixed time are obtained; a multispectral image total discrimination sequence and a thermal imaging image total discrimination sequence are obtained through processing, suspicious pixel points in the two sequences are mapped into actual three-dimensional coordinates of the wind power blade, a light reflection defect area and a thermal distribution defect area are obtained through fitting, the intersection of the two areas is obtained, and a specific area of the wind power blade defect is obtained. And positioning the region by using an acoustic emission sensor to obtain a to-be-detected acoustic signal, denoising by combining LMD with MFSE, extracting a feature vector, and substituting the feature vector into a GRU wind power blade defect judgment model to judge whether an internal fault exists or not. According to the invention, comprehensive perception and correlation judgment of internal and external defects of the wind power blade are realized.

The invention discloses an image recognition method for electric energy meter recognition. The method comprises the steps that an image with a metering electric energy meter display screen is acquired; preprocessing the image for correcting light reflection distortion of the image; performing text detection, and identifying and positioning a text region of the preprocessed image; character information identification of the concerned text area is carried out; performing layout analysis, and identifying digital information corresponding to different elements in the layout; performing NER detection filtering to obtain entity data in the image; and displaying the entity data. According to the method, the image is preprocessed for image reflection distortion correction, so that the image recognition result is more accurate. According to the method, the Fast R-CNN method is adopted for layout analysis, and different elements such as characters, charts and pictures in the layout can be quickly and accurately positioned and classified.

The invention relates to the technical field of chemical production process monitoring, and provides a chemical storage tank liquid level real-time monitoring method and system based on image recognition, which can automatically generate an accurate illumination threshold value by applying big data analysis and machine learning technologies, can adapt to illumination changes of different chemical scenes, and can realize real-time monitoring of the liquid level of a chemical storage tank. The accuracy of liquid level monitoring under various illumination conditions is greatly improved; for image enhancement and correction, the system adopts a local region adaptive adjustment histogram equalization and optimization CLAHE technology and constructs a feature database assisted threshold segmentation and environmental parameter dynamic adjustment SFS model, so that dark environment images can be enhanced more excellently, strong light reflection can be removed, and reduction liquid level details can be cleared; according to the system, a dynamic weight updating mechanism is created for the first time, the weight is adjusted in real time according to the liquid level change and the image quality, interference of a single image is effectively avoided, and the monitoring reliability is remarkably improved.

A medical device system includes a stylet with an optical fiber and a console operatively coupled to the stylet. The optical fiber can include an electrically conductive concentric tube configured to transmit electrical signals and a plurality of core fibers within the concentric tube. Each of the plurality of core fibers can include a plurality of sensors, and each the plurality of sensors can be configured to reflect a light signal of a different spectral width based on received incident light and change a characteristic of the reflected light signal based on a condition experienced by the stylet. The console includes one or more processors and a non-transitory computer-readable medium with logic that causes operations including providing an incident light signal to the optical fiber and receiving reflected light signals of different spectral widths of the received incident light by the plurality of sensors.

The invention discloses a film material surface defect detection method and system based on machine vision, and relates to the technical field of machine vision. Joint modeling is carried out by utilizing a local reflectivity difference value Ploc (x, y) of a pixel coordinate (x, y), a local stacking disturbance index S (x, y) of the pixel coordinate (x, y) and a local gray variance Wvar (x, y) of the pixel coordinate (x, y) in a film material image irradiated by a dual-angle light source, and the detection sensitivity of asymmetric optical disturbance caused by trace salt mist deposition is enhanced. Compared with the current situation that a traditional visual detection method is insufficient in response to early corrosion spots, the method has the advantages that a light reflection subsurface corrosion map can be effectively formed through quantitative combination of two factors of reflection anomaly and structural disturbance in the image, and rapid positioning and early warning of the membrane material salt spray corrosion initial stage are achieved.

The invention belongs to the technical field of cookware visual inspection machines, and particularly relates to a cookware surface flaw detection device and method.The cookware surface flaw detection device comprises at least two CCD cameras which are arranged above and below a cookware to detect the upper surface and the lower surface of the cookware; the roller type clamps are symmetrically arranged; a conveyor belt; one group of laser ranging positioners are mounted in the middle gap of the conveying belt, and the other group of laser ranging positioners are arranged between the roller-shaped clamps and used for positioning detected cookware; the detection method comprises the following steps: step 1, placing the cookware; step 2, conveying the cookware; step 3, clamping the cookware; step 4, cookware detection; and step 5, comprehensive detection. Compared with the prior art, the cookware can be clamped through the opposite clamping rollers, the clamping position and angle can be changed during detection, meanwhile, the position and angle of the cookware relative to a CCD camera are changed, the influence of light reflection and shielding on shooting is reduced, and the cookware can be comprehensively and accurately detected.

The invention discloses a liquid medicine foreign matter detection method and system based on machine vision, and the method comprises the steps: obtaining multiband spectral data of a liquid medicine sample, and carrying out the normalization processing to generate a liquid medicine background standard spectral feature template; comparing the refractive index spectral characteristics of the template and the foreign matter-containing liquid medicine, and recording the surface roughness scattering mode and polarized light reflection angle change data of a foreign matter area; calculating a spectrum peak displacement quantized value according to the polarized light data, and extracting foreign matter edge spectrum gradient information in combination with a threshold value; calculating a transparency spectral attenuation coefficient based on the edge gradient information, and obtaining spectral contrast enhancement factors of different foreign matters in combination with the spectral response characteristic data; and if the enhancement factor does not reach the standard, adjusting the spectrum correction parameter and recalculating, fusing the scattering mode and the multi-angle incident spectrum response result to carry out consistency verification, and obtaining a final identification result containing the foreign matter material type and the danger level. The method can improve the drug detection accuracy and guarantee the drug quality safety.

A distributed feedback (DFB) laser includes a planar substrate; a laser section; and a mirror section optically coupled to said laser section. The laser section includes a front facet, an active layer substantially parallel to the planar substrate but not coplanar with the planar substrate and configured to emit light through the front facet, and a first Bragg grating arranged in a planar layer substantially parallel to the active layer but not coplanar with the active layer and on a side of the active layer opposite to the planar substrate. The mirror section is optically coupled to the laser section, and includes a second Bragg grating configured to reflect light towards the front facet. The second Bragg grating is arranged in a planar layer that is coplanar with the active layer.

The invention relates to the technical field of image analysis, in particular to a cushion foaming forming quality detection method and system based on machine vision, and the method comprises the steps: collecting image data, carrying out the iterative screening of the image data, and selecting a detection sample; the method comprises the following steps: collecting a three-dimensional point cloud of a detection sample, calculating the flatness of a seat cushion by using the three-dimensional point cloud, carrying out modeling by using polarized light reflection to obtain surface cell uniformity, and carrying out feature extraction on the three-dimensional point cloud through a three-dimensional mapping model to generate a three-dimensional semantic model; extracting mechanical characteristics by using the time sequence pressure map, and generating a cushion digital model; variational self-coding is carried out on the cushion digital model, and an abnormal feature map is generated; performing information extraction and pixel-by-pixel multiplication on the abnormal feature map by using a learnable convolutional layer to generate an abnormal enhanced map; and inputting the abnormal enhancement graph and the seat cushion digital model into a multi-channel network model for final evaluation. According to the method, the image data is analyzed, and the performance of the cushion is subjected to index quantification, so that the deep detection of the quality of the cushion is realized.

The invention relates to the technical field of surface detection, and particularly discloses multi-angle detection equipment for a chip tray, the multi-angle detection equipment for the chip tray achieves the purpose of cleaning and detecting the surface of the tray, an equipment base and an equipment support integrally support the equipment, and a fixing device fixes the tray, so that the detection efficiency is improved, and the detection cost is reduced. The tray is vertically inserted into the top of the fixing device, the fixing device fixes and rotates the tray and cooperates with the detection device for illumination and multi-angle shooting through light reflection, the detection efficiency is improved compared with a traditional plane shooting visual detection scheme, the influence on the surface of the tray is reduced by fixing the two sides of the tray, and the detection accuracy is improved. Therefore, secondary damage caused by surface damage in the detection process is avoided, and the protection device drives the light source of the detection device to adjust the distance, so that optical detection on different areas of the surface of the tray is realized, and the overall flatness of the surface of the tray can be quickly detected.

The invention discloses an electronic paper display panel, a control method of the electronic paper display panel and a display device, and mainly relates to the technical field of display. An electrophoretic reflection layer is arranged on an array substrate and located on the side, facing a filtering substrate, of the array substrate; the controllable light reflection layer, the color filter layer and the common electrode layer are sequentially arranged on the side, facing the array substrate, of the filter substrate. The color filter layer comprises a plurality of sub color resistors, the sub color resistors are arranged at intervals, a color resistor gap is defined between every two adjacent sub color resistors, and the projection of the controllable light reflection layer is located on the color resistor gaps; the common electrode layer can control light irradiated to the controllable light reflecting layer to be reflected to the side, away from the light filtering substrate, of the color light filtering layer or to the side, away from the color light filtering layer, of the light filtering substrate, and through the design, the brightness of the electronic paper display panel can be improved when the light intensity of the external environment is weak; when the light intensity of the external environment is high, the display problem of bright lines is avoided.

The present invention relates to a method and apparatus for calculating and evaluating the loss of light collection efficiency of a heliostat. 【Solution means】The present invention simulates the pulsating wind load distribution of a heliostat at different elevation-azimuth angles by CFD calculation, extracts the aerodynamic admittance function and shape parameters, constructs a pulsating wind load spectrum prediction model, calculates the pulsating wind load spectrum by combining the attitude parameters of the heliostat, applies the pulsating wind load spectrum to the structural model of the heliostat mirror by finite element analysis, obtains the instantaneous dynamic response, displacement and strain distribution characteristics of the heliostat, simulates the influence of mirror deformation on the light reflection path, quantifies the instantaneous influence on the light collection efficiency of the deformed mirror, and generates a dynamic curve of the change of light collection efficiency over time.

The invention provides a high-reflection plane metal part defect detection method and system based on a composite polarized light source, and a medium. The method comprises the following steps: illuminating a high-reflection plane metal part based on the composite polarized light source, adjusting a light source polarization angle and an LED wave band combination to construct a shooting environment, and collecting an image sequence; calculating a polarization intensity distribution parameter for the image sequence based on the relationship between the polarization intensity and the Stokes parameter to obtain a polarization intensity distribution image; analyzing the polarization intensity distribution image based on a polarized light reflection model, and outputting a specular reflection component and a diffuse reflection component; fitting the specular reflection component and separating the diffuse reflection component to obtain a reflection-removed image; based on an image enhancement algorithm, edge enhancement is carried out on the reflection-removed image to obtain an enhanced image, and based on a defect identification algorithm, the enhanced image is analyzed to obtain defect information; by removing the diffuse reflection component and reconstructing the image, the mirror interference is effectively stripped, and the defect identification precision is improved.

The invention discloses a control management method and system for an LED backlight source, and relates to the technical field of backlight source control. The video decoding module is used for analyzing an input video signal and extracting an image brightness distribution entropy value and a color gamut coverage degree; the backlight partition regulation and control unit is used for dynamically adjusting a backlight partition topological structure; the prediction compensation module is used for generating a future frame brightness change trend and correcting a current backlight driving signal by using a feedforward compensation coefficient; the photoelectric sensing array is used for measuring the reflection characteristic of ambient light in real time; and the collaborative dimming controller is used for acquiring the type information of the playing equipment and loading a differential dimming strategy library. By dynamically analyzing video content characteristics, ambient light conditions and equipment information source types and adjusting a backlight partition structure and brightness output in real time, the HDR scene switching response speed is remarkably improved, the dark field gray scale identification degree is enhanced, backlight instantaneous peak power consumption is reduced, the non-linear brightness requirement of streaming media content is met at the same time, and the real-time performance of the system is improved. And better visual experience is provided for the user, and energy consumption optimization is realized.

The invention discloses a control method of a video monitoring system, which relates to the technical field of video monitoring, and comprises the following steps of: acquiring continuous image frames through the video monitoring system, extracting brightness channels, edge structures, direction gradients and contrast changes of images, constructing a reflective perception vector group, and calculating an included angle change trend by combining a target motion direction vector, determining whether a reflection offset condition consistent with the target direction appears in a picture in a camera attitude control process; after it is determined that the reflection offset condition consistent with the target direction appears in the picture, the inter-frame change tensor of the target area and the reflection area is extracted, and a time sequence track consistency matrix is constructed; according to the invention, the problem of wrong adjustment of the camera caused by misjudgment of light reflection in video monitoring is solved, attitude regulation and control based on image displacement abnormal mode recognition are realized, and the tracking stability and the monitoring accuracy are improved.

The invention discloses a photovoltaic POSS (polyhedral oligomeric silsesquioxane)-containing antireflection film coating liquid and a preparation method thereof, the coating liquid comprises the following raw materials in parts by weight: 80-100 parts of modified emulsion, 10-15 parts of modified graphene, 3-5 parts of sodium dodecyl benzene sulfonate, 1-3 parts of triethylene tetramine and 40-60 parts of deionized water, a modified additive in the coating liquid contains a polyhedral oligomeric silsesquioxane structure, the polyhedral oligomeric silsesquioxane structure can form uniformly-distributed nanopores and is matched with a two-dimensional honeycomb lattice structure in the graphene oxide, the surface roughness can be increased, the microstructure can scatter incident light and reduce specular reflection, so that the surface light transmittance is improved, and meanwhile, the modified additive molecule contains a fluoroalkyl structure, so that the surface light transmittance is improved. The fluoroalkane has a high refractive index, so that light reflection can be reduced, and the light transmittance is further improved.

The invention provides a glass wine bottle surface defect detection system. The glass wine bottle surface defect detection system comprises the following steps: S1, carrying out image acquisition; s2, a step of image processing; s3, a step of defect identification and classification; the step S1 specifically comprises the following steps: S11: selecting and configuring equipment, selecting an industrial-grade high-definition camera which has the characteristics of high resolution, low noise and high dynamic range according to the size, the shape and the surface characteristics of the glass wine bottle so as to ensure that a clear image is captured, and configuring an LED backlight or annular light source system so as to eliminate shadow and light reflection, so that the glass wine bottle is protected; details on the surface of the wine bottle are highlighted, and brightness and color temperature of the light source are adjusted according to scenes; according to the method, the problems of low efficiency and low detection accuracy caused by experience judgment or manual visual observation during existing glass wine bottle detection are well solved, and the intelligent detection method based on visual observation is provided to improve the detection efficiency and accuracy.