1053 results about "White light" patented technology

The invention relates to a disease diagnosis and treatment method, system and device based on ear-nose-throat endoscope images and a medium, and the method comprises the steps: synchronously collecting dual-spectrum images through time sequence triggering, and solving the problem of shielding of an anatomical structure caused by mucus flow; a dynamic mucus displacement field is modeled through pixel gradient, and misjudgment of a traditional segmentation method on static lesions and dynamic secretions is eliminated; a deformable convolutional layer is adopted to correct the spatial offset of white light and a narrow-band image, and the mismatch of a multi-mode characteristic due to optical scattering is overcome; and finally, a real-time surgical navigation mark and a clinical treatment scheme are synchronously generated based on topological attributes of the focus probability graph, and a closed-loop link from image analysis to diagnosis and treatment decision is realized. According to the method, the functions of mucus interference suppression, cross-modal accurate registration and real-time diagnosis and treatment assistance are integrated in a breakthrough manner, and the focus recognition accuracy and clinical operation efficiency of the endoscope image are remarkably improved.

The invention relates to the technical field of liquid crystal display, and provides liquid crystal display equipment based on a field order and a color image display method. An image to be displayed can be decomposed into three sub-frames based on a field sequential display technology, each sub-frame corresponds to a color field, when a liquid crystal panel is driven according to a main color gray scale value of the color field corresponding to each sub-frame, at least one backlight source corresponding to each color field is firstly driven to emit backlight of a first duration within a time period when liquid crystal molecules reach a steady state, and then the backlight source corresponding to each color field is driven to emit backlight of a second duration within a time period when the liquid crystal molecules reach the steady state. The white light of the second duration is emitted after the first duration, so that the white light is added in the backlight lightening stage of each color field, the color gamut range of the color field corresponding to each sub-frame is effectively reduced, and the color separation phenomenon is reduced. In addition, each subframe corresponds to a single color field or a mixed color field, so that the color separation phenomenon in various algorithms can be improved.

The embodiment of the utility model discloses a backlight module and display equipment, and relates to the technical field of display. The backlight module comprises a light guide part and a lamp panel. The lamp panel comprises a circuit board, a white light-emitting unit, a red-green-blue light-emitting unit, a power line and a driving chip. The white light emitting unit includes a first blue light emitting chip and a photoluminescence portion. The red-green-blue light-emitting unit comprises a plurality of light-emitting chips, and the plurality of light-emitting chips comprise a red light-emitting chip, a green light-emitting chip and a second blue light-emitting chip. The first power supply wire is connected with the first blue light-emitting chip, the second blue light-emitting chip and the green light-emitting chip, and the second power supply wire is connected with the red light-emitting chip. In the width direction of the circuit board, the power line and the driving chip are arranged on the two sides of the light-emitting unit respectively. According to the embodiment of the invention, the light-emitting effect of the lamp panel can be improved, and the connection convenience of the light-emitting unit, the power supply wire and the driving chip is improved.

A lighting device, a controller for the lighting device, and a method for using the lighting are disclosed. The lighting device comprises one or more light sources. The lighting device is configured to operate in a predefined first operation mode wherein the lighting device is configured to emit greenish white light. The greenish white light is white light as defined by ANSI C78.377-2017. The greenish white light has a relative M-cone-opic irradiance of at least 0.393, wherein the relative M-cone-opic irradiance is defined as a ratio between an M-cone-opic irradiance and a sum of an L-cone-opic irradiance, the M-cone-opic irradiance, and an S-cone-opic irradiance as defined in publication CIE S 026 / E:2018.

The invention belongs to the field of medical instrument coloring agents, and provides a natural anthocyanin endoscope coloring agent. According to the invention, the innovative design of combining a ternary color-stabilizing compound formed by anthocyanin, a co-chromophore and hydroxypropyl beta cyclodextrin with a chitosan sodium alginate polysaccharide system and a composite buffer system is adopted, and the viscosity is controlled to be 200-320 millisecond, the particle size of spray droplets is 40-60 microns, and the thickness of a thin film is 10-30 microns through specific molar ratio compatibility and a genipin crosslinking technology. Through accurate regulation and control, the excellent performance that a double-network thin layer is formed under the calcium ion environment that the absorbance retention rate at 520 nanometers is not lower than 90% and the elution rate is not lower than 90% under the irradiation of hundred thousand lux white light is achieved, the technical problems that a traditional endoscope coloring agent is poor in safety, low in stability and insufficient in mucous membrane contrast ratio are solved, and the wide clinical application value is achieved.

The invention relates to the technical field of artificial intelligence, and provides a gastric cancer risk quantitative scoring method, system and equipment based on artificial intelligence, and the method comprises the steps: recognizing the image type of each image frame in alimentary canal endoscope image data; for the electronic dyeing image frame, identifying a part contour region and an intestinal contour region of the feature part in the image frame, determining an intestinal epithelial metaplasia grading category of the feature part according to an area proportion of the intestinal contour region in the part contour region, and performing electronic dyeing intestinal scoring on the image data; for the white light image frame, gastroscope part types included in the image frame and focus area types of all gastroscope parts are recognized; performing atrophy scoring on the image data according to the position distribution of the focus area of the atrophy type; performing table state scoring on the image data according to whether the plica enlargement, nodular gastritis and diffuse redness focus areas exist or not; and realizing gastric cancer risk quantitative scoring according to the electronic staining intestinal scoring, the atrophy scoring and the epistatic state scoring.

The invention discloses an intelligent endoscope system with a multi-mode imaging function, and relates to the technical field of medical equipment, and the intelligent endoscope system comprises an imaging module which comprises a white light imaging subunit, a fluorescence imaging subunit and an infrared thermal imaging subunit; the data preprocessing module comprises noise suppression, SIFT registration and normalization; the image fusion module is used for decomposing four layers in a Laplacian pyramid, and reconstructing after feature weighting; the intelligent analysis module is used for extracting multiple types of features, performing CNN-Transform model reasoning and performing historical case verification; the display control module is used for 4K display, AR labeling and touch operation; and the data storage module is used for AES-256 encryption, DICOM conversion and three-level permission. The diagnosis accuracy is improved through multi-modal fusion, lesions are analyzed and efficiently recognized, operation risks are reduced through operation navigation, safety is guaranteed through data double backup, the system is suitable for multi-cavity diagnosis and treatment, and clinical precise diagnosis and safe operation are assisted.

The invention relates to the technical field of surface topography measurement, and discloses a spectral interference surface topography measurement method and device based on a metasurface. The device comprises a spectrograph, a white light source, an optical fiber, a focusing metasurface and a dispersion metasurface, the focusing metasurface and the dispersion metasurface are arranged in parallel and aligned, a spherical thin lens and a micro-nano structure are arranged on the two sides of the focusing metasurface respectively, and a reflecting metal film is arranged between the two sides; a semi-transparent and semi-reflective film and a micro-nano structure are arranged on the two sides of the dispersion metasurface respectively; the focusing metasurface is used for converging parallel incident light, one part of light serves as reference light and is reflected and focused on the reflective coating by the semi-transparent and semi-reflective film, and the other part of light serves as measuring light and penetrates through the semi-transparent and semi-reflective film; the dispersion metasurface is used for carrying out axial dispersion on light penetrating through the semi-transparent and semi-reflective film, monochromatic light focused on the to-be-measured surface returns along a light path and interferes with reference light, and a confocal signal or an interference signal is generated to calculate morphology information of the to-be-measured surface. By adopting the device, high-precision surface topography measurement can be realized in a narrow space.

The utility model relates to the technical field of LED lamp strips, in particular to a sterilization and illumination switchable LED lamp strip, which comprises a flexible circuit board, a plurality of LED lamp strips, a plurality of LED lamp strips and a plurality of LED lamp strips, the LED white light lamp beads are attached to the bonding pads of the flexible circuit board and used for converting electric energy into visible light, and the lighting function is achieved; the UVC and UVA two-in-one lamp bead is mounted on a bonding pad of the flexible circuit board and is used for converting electric energy into ultraviolet light, so that a sterilization function is realized; the LED lamp strip capable of being switched between the sterilization function and the illumination function is novel in structure, the illumination function and the sterilization function are integrated on one lamp strip, and the illumination function and the sterilization function can be switched freely through the same lamp strip.

The invention discloses a textile dyeing defect intelligent detection method and system based on AI vision, and relates to the technical field of textile quality detection.The method comprises the following specific steps that multi-modal image collection is conducted, specifically, a multi-angle industrial camera array and a multispectral light source containing white light, blue light and near-infrared light are deployed at a production line detection station, dynamically matching and collecting the frame rate and the light source brightness through a synchronous control assembly, and synchronously collecting to form a multi-mode original image set; according to the invention, through the combined design of the double-feature separation network and the mutual exclusive attention mechanism, deep mining is carried out respectively for the geometric morphology features of the wrinkles and the color texture features of the dyeing defects, and the mutual exclusive attention mechanism effectively shields an interference channel between the two types of features by generating an exclusive mask weight matrix, so that feature separation is realized, and the detection accuracy is improved. The system can accurately distinguish wrinkles and dyeing defects, and the misjudgment risk is remarkably reduced.

An apparatus and methods are provided for a handgun stabilizer that enables a shooter to very accurately fire a handgun while remaining well protected by a ballistic shield and looking through a bullet resistant viewing window comprising the ballistic shield. A high visibility green laser sight / high output white light illumination system may be mounted onto the handgun for aiming and illumination, with the handgun being precisely and removably mounted to the side of the handgun stabilizer at a location where the handgun's grip can be ergonomically grasped in the shooter's dominant hand, both for operating the handgun and for controlling the position and orientation of the ballistic shield for aiming purposes. An interface that enables the handgun to be precisely and removably mounted to the handgun stabilizer may comprise a quick-draw holster that is mounted directly onto the handgun stabilizer.

The invention provides europium-doped silicate green fluorescent powder as well as a preparation method and application thereof, and belongs to the technical field of luminescent materials. The green fluorescent powder can generate narrow-spectrum green light with the peak value located at 532 nm under excitation of 450 nm blue light, the full width at half maximum is 46 nm, a white light LED device prepared based on the fluorescent powder has a 110% NTSC color gamut, and it is indicated that the green fluorescent powder has excellent application value in backlight display. The saturation threshold value of the fluorescent powder reaches 21.6 W / mm < 2 > under the excitation of 450nm blue laser, and the lumen at the moment reaches 1157.9 lm. The green fluorescent powder disclosed by the invention has the advantages of high luminous efficiency, narrow full width at half maximum, high light saturation threshold under blue laser excitation, high lumen efficiency and the like, and has application feasibility in the aspect of laser display.

The invention relates to an oral cavity scanner and an oral cavity scanning method, and belongs to the technical field of medical instruments, the oral cavity scanner comprises a host, a handheld scanning gun and a data processing terminal, a main control circuit and a power module are arranged in the host, the handheld scanning gun is connected with the host, and a scanning window is arranged at the front end of the handheld scanning gun. The method comprises the following steps: acquiring three-dimensional shape data of oral tissues through a main white light scanning module; the auxiliary deep hole scanning module is used for carrying out supplementary scanning on optical dead angles such as the edge of a preparation body and a deep caries cavity; lesion information such as decayed teeth and dental plaque is obtained through the fluorescence detection module; data splicing is assisted through the attitude sensing module, the data processing terminal fuses multi-modal data to generate a color digital model with high-precision three-dimensional morphology and pathological information labeling, and real-time guidance and quality evaluation are performed on a scanning process by using an artificial intelligence model. And full-automatic, high-precision and intelligent oral cavity three-dimensional data acquisition is realized.

The invention discloses a backlight module preparation method and device. The backlight module preparation method comprises the steps that LED test light bars are arranged according to the model size of a display module; adjusting a driving electrical parameter of the LED test light bar to enable the display of the whole machine to reach a target color point value, and obtaining a first electrical parameter; working current data of a single LED lamp bead is calculated according to the first electrical parameter, and luminous flux and color coordinates of various LED lamp beads are obtained; constructing a colorimetric mixing formula and calculating a white light color point theoretical value of the backlight module; and according to the theoretical value of the white light color point, in combination with the pre-selected wavelength of the blue light chip, the fluorescent powder and the glue type, obtaining the proportion of the fluorescent powder, and preparing the backlight module according to the proportion of the fluorescent powder. The whole machine is tested in advance, and the target color point value of the white light LED device is calculated according to the test data, so that the preparation accuracy of the white light LED device is improved, repeated test verification is avoided, the development period of a liquid crystal display is shortened, and the development cost is effectively reduced.

The invention relates to a pixelated vehicle lamp optical assembly, a vehicle lamp and a vehicle lamp illumination method. The pixelated vehicle lamp optical assembly comprises a light source part, the light source part comprises a colored light source and a white light source, the colored light source can output colored light beams, and the white light source can output white light beams; the projection lens can receive the colorful light beams or the white light beams output by the light source part, so that the pixelated automobile lamp optical assembly outputs white light projection or colorful projection; wherein the pixelated automobile lamp optical assembly has a first state or a second state, in the first state, the optical axis of the projection lens corresponds to the color light source, and the optical axis of the projection lens does not correspond to the white light source, so that the color light beam directly outputs first optical projection along the optical axis of the projection lens.

According to the silicon-based OLED micro display screen, an OLED organic material layer emits white light under electric driving, intelligent judgment is performed according to display content, an optimal working mode is automatically selected, when high-saturation pure color needs to be displayed, the mode is switched to a pure color transparent mode, at the moment, a super-surface optical separation layer keeps the transparent characteristic, and the display quality is improved. The white light is directly transmitted to the color film unit with the corresponding color; when mixed colors need to be displayed, a mixed color separation mode is started, incident white light is separated into red primary light, green primary light and blue primary light according to visible spectrums, the light is accurately guided to the corresponding RGB color film units according to a preset optical path, finally, the color light which is accurately separated and guided is output through the corresponding color films, and finally a high-brightness and low-power-consumption full-color picture is synthesized. The super-surface optical separation layer is additionally arranged between the white light OLED light-emitting layer and the color filter, so that the display optical utilization efficiency is greatly improved.

The invention discloses a multi-modal endoscope image fusion analysis method, and relates to the technical field of medical image navigation, and the method comprises the steps: collecting an original white light image and an original narrow-band image, carrying out the preprocessing, and collecting real-time pose parameters; extracting blood vessel texture features in the preprocessed original white light image and the original narrow-band image, generating a binary semantic mask, calculating a spatial transformation matrix according to the binary semantic mask, and generating preliminary visual deformation field data; and calculating microscopic deformation field data according to a pre-stored biomechanical characteristic database, the preliminary visual deformation field data and the real-time pose parameters, carrying out reverse calculation to obtain physical deformation compensation field data, and carrying out spatial superposition operation on the physical deformation compensation field data and the preliminary visual deformation field data to obtain comprehensive compensation deformation field data. According to the method, real-time quantitative evaluation and abnormal early warning of the reliability of the fusion result are realized through multi-modal fusion quality early warning judgment, and the clinical decision credibility and the operation safety are enhanced.

The invention discloses an optical path active vibration isolation system used in an in-situ measurement environment and an automatic calibration method, and relates to the technical field of in-situ measurement. The optical path active vibration isolation system comprises a measurement interferometer and a reference interferometer. The measurement interferometer is illuminated by a white light source through a tunable filter, the tunable filter is used for filtering light emitted from the white light source and selecting a set wavelength, so that the camera generates an interferogram generated only by the set wavelength, and light with different wavelengths sequentially passes through the tunable filter, so that the camera captures a series of interferograms with different wavelengths; the absolute optical path difference is calculated in real time by analyzing the interferogram; the reference interferometer and the measurement interferometer share the same optical path, are illuminated by an infrared super light emitting diode, and are used for observing and compensating environmental noise. According to the invention, the problem of noise interference measurement in application scenes such as large-scale manufacturing workshops is solved.

The embodiment of the invention discloses display equipment and a control method of the display equipment, and relates to the technical field of display, first target backlight data is generated directly according to initial backlight data and preset component data under the condition that a brightness enhancement condition is not met, and the first target backlight data is generated directly according to the preset component data under the condition that the brightness enhancement condition is met. Second target backlight data is obtained according to the first gain coefficient, the initial backlight data and the preset component data, at least one of the red light-emitting light source, the green light-emitting light source and the blue light-emitting light source emits light under the condition that the gray field picture or the white field picture is displayed, and the brightness enhancement condition is met under the condition that the brightness enhancement condition is met. The brightness increasing proportion of the emergent light corresponding to at least one of the red light, the green light and the blue light is close to the brightness increasing proportion of the emergent light corresponding to the white light, backlight supply is achieved through the light-emitting light sources corresponding to the red light, the green light, the blue light and the white light respectively, the energy consumption of the display device is reduced, and meanwhile the display effect of the display device is guaranteed.

An objective system of a medical scope including an optical filter is disclosed. The optical filter includes a light incident side and a light exit side, a central region around an optical axis, and a peripheral region and is designed as an aperture with a single optical axis for white light and fluorescence light. The optical filter includes a first transmission zone for a transmittance of a first wavelength band and a second transmission zone for a transmittance of a second wavelength band at least partially different from the first wavelength band. At least one of the two transmission zones includes a filter coating. As a result, when both white light and fluorescence light pass the optical filter, a light beam cone of the fluorescence light has a larger diameter than a light beam cone of white light or vice versa.

The invention discloses an intelligent auxiliary diagnosis and grading system for gastrointestinal tumor endoscopic images, which belongs to the technical field of medical image processing and computer-aided diagnosis and comprises a multi-modal image preprocessing and segmentation module, a lesion feature extraction and diagnosis module, a grading and depth evaluation module and a closed-loop feedback optimization module. The system receives white light, a narrow band and an amplified endoscopic image, adaptive segmentation is performed to obtain a lesion area, mucous membrane morphology, capillary and gland features are extracted, Paris classification, Vienna classification and infiltration depth evaluation are realized, and segmentation parameters are subjected to closed-loop optimization according to classification confidence. And intelligent auxiliary support is provided for early diagnosis and treatment decision of gastrointestinal tumors.

The embodiment of the invention discloses a display device and a control method of the display device, and relates to the technical field of display, the display device comprises a backlight module, a liquid crystal panel and a backlight driving circuit, the backlight driving circuit determines target backlight data according to initial backlight data and preset reference data, and a first target color coordinate is taken as a reference, so that the first target color coordinate is obtained; the initial backlight data is converted into target backlight data, color cast caused by conversion is reduced, and meanwhile, under the condition that the initial backlight data is backlight data corresponding to a white field picture or a gray field picture, the target backlight data obtained through conversion can make at least one of a red light-emitting light source, a green light-emitting light source and a blue light-emitting light source emit light; therefore, the light-emitting color cast phenomenon of the white light-emitting source is improved. Backlight supply is achieved through the light-emitting light sources corresponding to red, green, blue and white, so that the energy consumption of the display device is reduced, and meanwhile the display effect of the display device can be guaranteed.

The invention discloses an intelligent classification and recognition method for ear-nose-throat lesion images, and relates to the technical field of image recognition, and the method comprises the steps: synchronously collecting a nasopharynx white light image and an i-Scan image, screening an image meeting a quality standard, carrying out the correlation of pathology and grading labeling, and constructing a data set containing a multi-center case; the white light image and the i-Scan image are subjected to denoising processing, key mark points are extracted, image registration is completed, a mucous membrane surface area, a submucous membrane blood vessel area and a lymphatic tissue enrichment area are divided through semantic segmentation, and feature enhancement is carried out on different areas; extracting morphological features and textural features from the enhanced image, calculating feature importance weights and fusing the feature importance weights into low-dimensional feature vectors; the benign and malignant dichotomy model and the pathological type multi-classification model are respectively constructed, and classification results are output in combination with a doctor diagnosis rule base and verification indexes, so that the accuracy and clinical practicability of ear-nose-throat lesion diagnosis are remarkably improved.

The invention discloses a near BBL curve LED white light color mixing method, system and lamp, a first color temperature light source and a second color temperature light source are selected in a preset color coordinate area, and a color point range is determined for each of the first color temperature light source and the second color temperature light source based on calculation of an intermediate color temperature point light source color deviation value extreme value on a target light mixing path; and selecting the first color temperature light source and the second color temperature light source of which the color coordinates are located in the corresponding color point range, and adjusting the luminous flux output proportion of the two light sources for light mixing so as to form intermediate color temperature light. The problems that a multi-CCT light and color modulation product adopts two light sources, the color temperature and color tolerance between the two light sources cannot meet the requirements of customers, and the color deviation value of the light sources obviously deviates from a BBL curve are solved.

The invention discloses a photosensitive type copper metal organic framework material Cu-MOF, a composite xerogel material thereof, a preparation method and application. According to the invention, a Cu-MOF composite xerogel (Cu-MOF (at) XG) material is utilized to assemble a friction nano generator (TENG), the influence of Cu-MOF (at) XG with different doping proportions on the output performance of the TENG is explored, and meanwhile, the influence of the Cu-MOF (at) XG material with the doping proportion of 10% on the output performance of the TENG under different wave band light (red light (630-640 nm), blue light (460-465 nm), purple light (380-390 nm) and white light (390-780 nm) is explored. An ultra-sensitive wearable self-powered ultraviolet sensor system is constructed by selecting a Cu-MOF (at) XG-TENG device, self power supply is realized by pressing the sensor, accurate identification of ultraviolet intensity in a special environment is realized by comparing output signals, and communication with the outside is realized by displaying an output Morse code communication signal.

The invention discloses a high-turbidity measuring method, a high-turbidity measuring instrument, a medium and a program product, and relates to the field of testing or analyzing materials by means of measuring chemical or physical properties of the materials.In the method, the filtering transmission light intensity and the filtering scattered light intensity of a red light wave band and the filtering transmission light intensity and the filtering scattered light intensity of a white light wave band are collected; respectively determining a first group of weighting coefficients corresponding to the first turbidity range and a second group of weighting coefficients corresponding to the second turbidity range based on the corresponding relationship between the light intensity ratio and the turbidity value of the standard turbidity sample; calculating an initial turbidity value of the to-be-detected water sample based on the first group of weighting coefficients; judging whether the initial turbidity value is greater than a preset range threshold value or not; if yes, calculating a final turbidity value of the to-be-detected water sample based on a second group of weighting coefficients; if not, taking the initial turbidity value as the final turbidity value of the water sample to be detected; the final turbidity value of the water sample to be detected is displayed in the display screen. The method is used for improving the accuracy of testing the high-turbidity water sample.

The invention discloses a multi-mode microscopic Raman spectrum detection system, which comprises a white light microscopic imaging module, a reflection type Raman spectrum excitation and detection module, a transmission type Raman spectrum excitation and detection module, an optical information excitation module and an optical guiding module. Light path integration of all the modules is realized by sharing a microscope objective, image acquisition, reflection Raman detection and transmission Raman detection of a sample can be completed on the same platform, and the device has the advantages of high spatial alignment, flexible operation switching and adaptability to detection of multiple types of samples, and is suitable for micro-area Raman analysis in the fields of biomedicine, material science and the like.

The invention relates to the technical field of liquid crystal display, and provides liquid crystal display equipment based on a field sequence and a color image display method. White backlight is inserted in a liquid crystal response stage to reduce a color separation phenomenon, and the white backlight is inserted in the liquid crystal response stage, so that white light can be emitted at the time when the original backlight is turned off; according to the backlight module, the original backlight opening time in the color backlight stage is not occupied, so that the backlight source of the backlight module is always in the lightened state, the backlight light efficiency is improved, meanwhile, the backlight source of the backlight module can be prevented from being converted between the two light and dark states of closing and lightening, the image flickering problem is solved, and the image watching quality is improved.

The invention belongs to the technical field of rivet-free bonding, discloses a CNN-Transform-based mechanical property prediction method for a rivet-free bonded joint, and aims to solve the problems that the existing mechanical property detection of the rivet-free bonded joint needs a destructive test, the prediction efficiency is low, and the prediction precision is insufficient. The method comprises the following steps: firstly, acquiring micron-scale and nano-scale morphology images of an upper plate and a lower plate of a rivet-free bonded joint through a white light interference microscope and an atomic force microscope, and completing standardized pretreatment; feature re-calibration is completed through a double-plate cross-scale interaction attention enhancement module, depth features are extracted through a four-branch CNN, and global association is established through cross-plate interaction Transformer; and finally, predicting the maximum peak load and failure displacement of the joint under the tensile shear working condition through the multi-regression head optimized by the same variance uncertainty loss. The method has the advantages of low prediction cost, high prediction efficiency, accurate precision and the like.

The invention relates to the technical field of welding, in particular to a non-groove welding seam recognition method and system based on visual near-infrared image characteristics, and the method comprises the following steps: collecting a near-infrared image of the back surface of a welding area, and carrying out the preprocessing of the near-infrared image; parallel processing is carried out based on the observed gap flash characteristic, the white light ray characteristic and the second-layer aperture contour, and three welding seam area characteristics of the gap flash characteristic, the white light ray characteristic and the second-layer aperture contour are obtained; a multi-feature fusion welding seam recognition method is adopted, the three welding seam region features are fused, and the final groove-free welding seam position is determined; and according to the finally determined position of the groove-free welding seam, the offset and the direction of a welding gun are calculated, a control signal is generated according to the offset and the direction, and an execution mechanism is controlled to adjust the position of the welding gun for welding. The method and the system provided by the invention can realize robust identification and accurate positioning of the groove-free welding seam, and the system has strong adaptability to different welding environments.