164 results about "Black spot" patented technology

The invention discloses a method for retarding black spot wrinkles of a PMMA (Polymethyl Methacrylate) gluing diaphragm lithium battery pole piece, which comprises the following steps: S1, adjusting parameters of a winding machine, adjusting the distance between pole pieces and tabs according to different parameters, and winding a battery cell; s2, performing hot pressing on the wound roll core by using different hot pressing parameters; s3, the hot-pressed roll core is assembled, put into a shell and fully charged in a capacity grading mode; wherein the parameter of the winding machine is embossing pressure; the hot pressing parameters comprise temperature, pressure and time. Therefore, by selecting the most appropriate embossing pressure and hot pressing parameter, black spots and wrinkles on the lithium battery interface of the PMMA glued diaphragm can be relieved, so that the electrochemical performance and the safety performance of the battery are improved.

The invention relates to the technical field of image recognition, in particular to a plastic particle black spot defect online detection method based on deep learning. Performing non-linear space conversion on the original image, and separating a background field component and a significance component; constructing a reverse compensation item by using the background field component, carrying out dynamic gain correction on an original brightness channel, and carrying out multi-channel weighted fusion on the original brightness channel and the saliency component to generate a saliency feature map; inputting the saliency feature map into a multi-scale topology enhancement network, extracting edge distribution features, and performing closed contour extraction and Euclidean distance transformation to generate a topology thickness energy map; the high-frequency gradient magnitude of the original image is calculated, mask smoothing processing is carried out on the gradient of the black spot region by using the saliency feature map, and a joint dissipation field is constructed; and taking a local maximum value point in the topological thickness energy diagram as a morphology seed point, executing controlled watershed evolution under the topological constraint of the joint dissipation field, realizing boundary stripping of an adhesive particle region, and generating a particle morphology diagram.

The invention provides a display unit and display equipment. The display unit includes: a first substrate; the second substrate is arranged opposite to the first substrate; the pixel wall is arranged between the first substrate and the second substrate, and a closed cavity is defined by the pixel wall, the first substrate and the second substrate; the light control board comprises at least two blades, and the at least two blades are rotationally connected into the closed cavity; a reflecting layer or a light absorbing layer with a preset color is arranged on the surface of each blade; two of the at least two blades have opposite electrical properties or opposite magnetic properties; and the driving electrodes are at least arranged on two of the first substrate, the second substrate and the pixel wall along the rotating direction of the blade, and are used for driving the light control plate to rotate to a corresponding angle position so as to display corresponding brightness. According to the display unit, the problems that black spots appear when electrowetting displays white, ink is split during shrinkage and microcapsules are coagulated can be solved, and the response rate is increased.

The invention relates to an insect pest detection processing method, system and device, and belongs to the field of insect pest detection.The method comprises the steps that a crop image in a target area is collected, black spot recognition and malformation recognition are conducted on the crop image, and black spot parameters and malformation parameters are obtained; according to the black spot parameter and the malformation parameter, calculating to obtain a first insect pest parameter, and configuring an insect body detection range and an insect body detection scale; collecting a detection image set, and carrying out insect body recognition to obtain an insect body recognition result; and processing according to the insect body identification result to obtain a second insect pest parameter, and calculating to obtain an insect pest parameter as an insect pest detection processing result in combination with the first insect pest parameter. According to the method, the technical problems of inaccurate detection and low treatment efficiency caused by the fact that pest distribution characteristics are not considered in mangosteen pest detection in the prior art are solved, and the technical effects of analyzing the pest distribution characteristics through crop pest symptoms, optimizing a detection strategy and improving pest detection accuracy and treatment efficiency are achieved.

The invention discloses a visual constraint-based vehicle safety domain modeling and conflict risk assessment method, which comprises the following steps of: analyzing and selecting a non-signalized intersection with frequent traffic accidents by using accident black spots, and acquiring multi-dimensional traffic information of the intersection through an unmanned aerial vehicle; building three vehicle safety domain models of straight running, right turning and left turning; by predicting a vehicle trajectory equation, determining an intersection conflict position, dividing intersection conflicts into two categories of cross conflicts and confluence conflicts according to a trajectory interaction mode, and in different conflict scenes, according to a constructed vehicle safety domain, performing quantitative calculation on a conflict risk of vehicles in a non-signalized intersection to obtain traffic conflict exposure time; and based on the traffic conflict exposure time data, determining an optimal clustering number K of a K-means algorithm through an elbow rule, clustering results of the traffic conflict exposure time by using the K-means algorithm, and grading conflict risks. According to the invention, the accuracy of vehicle conflict detection at the non-signalized intersection is improved.

The invention relates to the technical field of image recognition, in particular to a horticultural product fungal disease image recognition system and method, and the system comprises an image collection module, an image segmentation module, an anomaly detection module, a feature extraction module, a disease recognition module and a decision output module. In the prior art, the intensity of a light supplementing lamp is manually adjusted, and instantly changing illumination conditions (such as cloud layer shielding and tree shadow shaking) are difficult to deal with in an open-air plantation, so that leaf scab details are often submerged by strong light or dim light is blurred; according to the scheme, a closed-loop linkage system of ambient light perception and an annular LED is innovatively deployed, and the light supplementing intensity is reversely adjusted in a millisecond level by tracking ambient brightness in real time, so that purple gray hyphae of downy mildew in mist in the morning and anthracnose black spots under the noon burning sun present completely consistent color saturation and texture definition in imaging; and the problem of misdiagnosis caused by illumination fluctuation in the traditional method is thoroughly solved.

The invention provides an intelligent lock panel display abnormity detection method and system based on an AI visual technology, and the method comprises the following steps: 1, classifying the defect types of an intelligent lock panel, including the logo color display error of the intelligent lock panel, the digital color display error, the black spot defect of digital display, and incomplete display; 2, acquiring an intelligent lock panel image to form a data set; step 3, constructing and training a model, wherein the model comprises a YOLOv3 network and 11 ResNet18 network classification models; the YOLOv3 network is composed of a Darknet-53 network and three branch network locks, the Darknet-53 network is a basic network, and the three branch networks are used for carrying out prediction of three scales respectively; after the images pass through the YOLOv3 network, the YOLOv3 model cuts the identified category images and sends the identified category images to the ResNet18 network; and 4, evaluating the model performance through the model evaluation index so as to obtain an accurate detection result. By applying the technical scheme, the defect accuracy of the intelligent lock panel can be improved.

The invention provides a glass bottle black spot detection method and device, electronic equipment and a storage medium, and relates to the technical field of glass bottle quality detection.The method comprises the steps that each group of light sources are controlled to irradiate the surface of a to-be-detected glass bottle at different incident angles; collecting multi-angle image information of the surface of the glass bottle irradiated by the plurality of groups of light sources; extracting an average gray value for each suspected black spot region in the multi-angle image information; calculating a linear regression slope corresponding to each suspected black spot area by constructing a linear regression model; and comparing the absolute value of the linear regression slope with a preset slope threshold value to distinguish dust and black spots. According to the glass bottle black spot detection method, on the premise that an existing reflection type optical hardware system is not changed and the investment of dust removal equipment is not remarkably increased, dust and black spots on the glass bottle are more accurately distinguished, the misjudgment rate is remarkably reduced, and the stability of a detection system in a dust environment is improved.

The utility model relates to the field of glass bottle production dies, in particular to an opening ring and punch matching position for glass bottle forming. Comprising an opening ring which is arranged in an opening die and is positioned below the opening die, and a punch which moves up and down in the center of the opening ring and is matched with the opening ring, and the contact surface of the opening ring and the punch is only the opening at the uppermost end. The wear ring has the advantages that the upper portion of the wear ring is turned into the horn mouth, the contact area between the wear ring and the punch is reduced, abrasion between the wear ring and the punch is reduced, black spots generated when iron powder generated due to abrasion adheres to a bottle opening can be improved finally, the quality of glass products is improved, and the product percent of pass is increased.

The utility model discloses a display module and electronic equipment. The display module comprises a display layer, a supporting layer and a circuit board which are sequentially stacked, the display layer comprises a display area, a non-display area and a bending area, the non-display area surrounds the display area, and the non-display area is connected with the circuit board through the bending area; the non-display area is provided with a first identifier for determining the relative position of the circuit board and the display layer; the first identification is located on the side, close to the supporting layer, of the non-display area, the supporting layer is provided with a through hole used for exposing the first identification, and the through hole is spaced from the peripheral face, away from the display area, of the non-display area. In the scheme, due to the fact that the through hole is spaced from the peripheral face of the non-display area, the supporting layer does not form a cantilever beam structure around the through hole, and the reliability of connection between the supporting layer and the display layer near the through hole can be improved. In the falling or warm stamping process of the display module, the display layer is not prone to generating black spots, and poor display is avoided.

This utility model relates to a locking and fixing device for optical films in an F-fold TV backlight module, comprising an elastic locking component hidden within the cavity of the F-fold back panel. The elastic locking component includes a side plate, with integrally formed spring tabs at its upper and lower ends. Each spring tab includes an elastic clamping portion and an elastic pressing portion located at the free end of the elastic clamping portion. A clamping groove is formed between the elastic clamping portions of the two spring tabs, used to elastically clamp the sides of the stacked optical film and diffuser plate. The outer surface of the side plate is bonded and fixed to the inner wall of the F-fold back panel cavity via an adhesive layer. The elastic pressing portions of the two spring tabs respectively press against the top and bottom walls of the F-fold back panel cavity. This utility model effectively prevents the optical film and diffuser plate from shaking back and forth during transportation or vibration testing, avoiding problems such as black spots caused by contact between the film and the LCD panel, vibration white spots caused by contact with the laminating auxiliary materials, and film detachment, thereby significantly reducing the product defect rate.

The invention discloses a galvanized automobile sheet black spot detection method and related equipment, and relates to the technical field of metallurgical machinery, and the method comprises the steps: obtaining the specification information of strip steel; determining an upper surface detection area and a lower surface detection area of the strip steel based on the specification information and a preset edge offset; acquiring a first surface image and a second surface image; performing feature extraction on the first surface image and the second surface image to generate first black spot feature data and second black spot feature data; identifying the first black spot feature data and the second black spot feature data based on a deep learning model, and counting the number of first black spots in the upper surface detection area and the number of second black spots in the lower surface detection area; and determining the quality grade of the strip steel based on the first black spot number, the second black spot number and a preset black spot threshold value. According to the invention, automatic and full-process detection of black spot defects is realized.

The present invention discloses a method and system for identifying road traffic accident blackspot areas, relating to the field of data processing technology. The method comprises: collecting all historical road traffic accident data; performing first-order division of the target traffic area based on the nine-square correlation positioning method, and outputting a first-order spatial grid; encoding and mapping the full historical road traffic accident data according to the first-order spatial grid, and generating a road traffic accident coding mapping library; constructing an accident blackspot determiner, which calls the road traffic accident coding mapping library to identify the number of accidents and outputs a blackspot grid; performing a nine-square grid correlation merging analysis using the blackspot grid as the central grid, outputting a merged blackspot grid, and marking and visually displaying the merged blackspot grid. The method solves the technical problems of inaccurate and low efficiency in identifying traffic accident blackspot areas in the prior art, and achieves the technical effect of improving the accuracy and efficiency of identifying traffic accident blackspot areas.

The invention relates to the field of ginseng black spot research, in particular to a slicer for ginseng black spot research, which comprises a placing mechanism, a lifting mechanism is arranged in the placing mechanism, and one end of the lifting mechanism penetrates and extends into the placing mechanism and is fixedly provided with a cutting mechanism. The top end of the lifting mechanism penetrates and extends out of the containing mechanism and is fixedly connected with a positioning mechanism, and a supporting mechanism is arranged at the top end of the interior of the containing mechanism. The ginseng can be placed in the placing groove, the pressing plate is pressed down to fix the ginseng, then the ginseng is cut through the cutting knife, the cut ginseng slices are taken out through the grid baffle, black spot on the ginseng can be observed, and the thickness of the next ginseng slice needing to be cut can be determined. Therefore, the height of the cutting knife is adjusted again to cut the ginseng slices with the corresponding thickness, and follow-up research is facilitated.

The application provides a silicon rod monitoring method and device and related equipment, wherein the method comprises: acquiring a first monitoring image of a to-be-detected silicon rod; performing image analysis on the first monitoring image to determine a number parameter of black spot regions in the first monitoring image and an area parameter of the black spot regions in the first monitoring image; and generating a warning information in a case where the number parameter is greater than or equal to a first threshold value and / or the area parameter is greater than or equal to a second threshold value. Through the acquisition of the first monitoring image of the to-be-detected silicon rod, the extraction of the number parameter and the area parameter of the black spot regions in the first monitoring image, and the generation of the warning information in a case where the number parameter and / or the area parameter indicate that the proportion of the black spots in the to-be-detected silicon rod is too large, an automatic monitoring mode is used to replace a manual inspection monitoring mode, human factors are avoided, the probability of false judgment of abnormal silicon rods or missed judgment of abnormal silicon rods is reduced, and the monitoring effect on the growth of the silicon rod is improved.

The application relates to the technical field of intelligent agriculture and plant protection, and particularly discloses a broccoli black spot early diagnosis system and method based on multi-modal machine learning fusion, which comprises a portable collection platform, a mobile experiment terminal and a server. The portable collection platform is integrated with a hyperspectral imaging camera, a chlorophyll fluorescence imager, a dark-adapted leaf clamp and a camera for sample barcode recognition, and is provided with an adjustable height support and a controllable light source to ensure the consistency of data collection conditions. The mobile experiment terminal is internally provided with a physicochemical index rapid detection module, including a portable PCR instrument for on-site nucleic acid rapid extraction and amplification and a miniature ultraviolet spectrophotometer for rapid determination of pigment content. The broccoli black spot early diagnosis system and method based on multi-modal machine learning fusion are highly integrated, portable and automated, are suitable for a field environment and provide an efficient disease diagnosis tool for non-expert users.

The invention relates to the technical field of digital image processing, and particularly provides a visual detection method for defects in a vacuum packaging process. The method comprises the following steps: calculating a required defect color interval according to a vacuum package image; feeding by a feeding machine, conveying the vacuum-packaged dried sweet potatoes through a white conveying belt, enabling the vacuum-packaged dried sweet potatoes to pass through a photosensitive sensor one by one, then stopping the conveying belt, and carrying out black spot defect detection according to an image acquired by a color camera for the first time; conveying the dried sweet potatoes without black spot defects to a black conveying belt, enabling the dried sweet potatoes to pass through a photosensitive sensor one by one, then enabling the conveying belt to stop running, and carrying out defect detection on the sweet potatoes pressed into a vacuum packaging blank pressing area according to an image collected by a color camera for the second time; detecting the defect that the blank pressing area of the vacuum package is not tightly closed, and if no defect is detected, conveying the blank pressing area into a qualified product box; according to the method, manpower consumption is reduced, and the detection efficiency and accuracy are improved.

The application provides a PVC film preparation system and method based on industrial intelligent vision. In a stable production process of an extruder, an extruder screw torque signal and a melt temperature signal are collected, and a PVC film surface image sequence is obtained in real time. A black point density change rate per unit area in the PVC film surface image sequence is counted, and an area distribution feature of the black points in the PVC film surface image is extracted. A torque fluctuation amplitude in the screw torque signal and an over-threshold integral quantity of the melt temperature signal are calculated. The area distribution feature, the torque fluctuation amplitude and the over-threshold integral quantity are used to determine the causes of the black points in the PVC film preparation, and a determination result of the causes of the black points is obtained. Based on the black point density change rate and the cause category of the determination result, a parameter adjustment amount is calculated, and a speed adjustment amount and a maintenance time required to reduce the black point density to a target value are output. Based on the above scheme, cause category quantitative determination based on multi-source signal fusion can be realized.

A high-strength hot-dip galvanized steel sheet having a good surface appearance and suppressed generation of gray spot defects and black spot defects on a plating layer surface is manufactured using a steel to which B has been added as a base material steel sheet. In the annealing step prior to plating, the dew point in the temperature range of 300-500 DEG C is reduced to form a Fe reducing atmosphere, the generation of ammonia is suppressed by suppressing the generation of iron oxide, and the generation of ammonia and the nitridation of the steel sheet are suppressed by rapidly heating in a temperature range of 500 DEG C or higher in which the generation of ammonia becomes significant and nitrogen begins to permeate into the steel sheet. In addition, by shortening the annealing time in a temperature range of 750 DEG C or more and fixing a part of B as an oxide by causing the dew point to be-55 DEG C or more, the generation of nitride caused by diffusion of B into the surface of the steel sheet during annealing is suppressed. As a result, the generation of B nitride, which is the cause of the occurrence of gray-spot defects and black-spot defects, is suppressed.

The invention discloses a compound dispersing agent and a preparation method of polypropylene beads using the compound dispersing agent, and the compound dispersing agent contains EBS and Huawang EB-FF. Van der Waals force among pigment particles can be effectively overcome by using the compound dispersant, and the condition of pigment agglomeration is obviously inhibited, so that the conditions of black spots and generation change on the surface of a product are avoided.

The invention relates to the technical field of industrial data processing, and discloses an industrial data processing method for preparing a modified PC material, which comprises the following steps: acquiring an image of the surface of a product, identifying whether black spots exist on the surface of the product, judging the cause of the black spots on the surface of the product, and taking corresponding remedial measures. According to the industrial data processing method for preparing the modified PC material, black spot generation reasons are comprehensively and systematically analyzed, black spot distribution characteristics and potential reasons can be accurately positioned through image processing and statistical analysis, the accuracy of problem diagnosis is improved, a specific solution and improvement measures are provided, and the industrial data processing method is suitable for popularization and application. The method can be directly applied to quality control in the production process, helps enterprises and operators to quickly respond and solve quality problems, and helps to find potential problems in advance, take preventive measures, reduce defective products and improve production efficiency and product quality through comprehensive evaluation of raw materials, equipment and processes.

This application provides an electronic device. The electronic device includes a flexible display panel, a back panel, and a hinge, with the back panel disposed between the flexible display panel and the hinge. The flexible display panel includes a connected unfolding portion and a bending portion, the bending portion being used for bending the flexible display panel. The back panel has a first blind hole, which is located on one side of the back panel and away from the flexible display panel. The hinge has a slit. Using the surface of the flexible display panel as a reference plane, the projection of the first blind hole onto the reference plane at least partially overlaps with the projection of the slit onto the reference plane. The first blind hole helps prevent display defects such as bright spots, black spots, and dead pixels from appearing on the flexible display panel, thereby improving the lifespan of the electronic device.

The present application relates to the technical field of multi-stage cleaning of IGBT heat dissipation substrates, and solves the technical problem of black spot defects after chemical nickel plating caused by insufficient cleaning of oil stains in the pin fin microstructure of the heat dissipation substrate, especially a multi-stage cleaning method for inhibiting black spot defects of IGBT heat dissipation substrates. In the rough cleaning stage, the key parameters of the ultrasonic generator and the transducer are optimized, the heat dissipation substrate is subjected to rough cleaning, and the surface cleanliness is detected in real time. In the fine cleaning stage, the posture of the hyperspectral camera is accurately controlled for omnidirectional detection of the pin fin, the nozzle posture is adjusted based on the key information of the oil-stained pin fin, the nozzle output flow and pressure are controlled as the optimization target of the micro-flow column jet impact force, and the oil-stained pin fin is subjected to accurate cleaning. The present application realizes multi-angle omnidirectional oil stain cleaning and real-time cleanliness detection of each area on the surface of the heat dissipation substrate, thereby improving product quality to meet the requirements of downstream customers and effectively improving the core competitiveness in the industry.

The invention provides a cleaning agent for eliminating color difference defects of black spots on the surface of oriented silicon steel and application of the cleaning agent. In terms of 100 parts by mass of solvent content, the cleaning agent comprises 100 parts of solvent; 3 to 6 parts of citrate; 15-25 parts of an inorganic alkaline substance; 3-6 parts of organic amine; 0.5 to 1 part of a polycarboxylate flocculating agent; 0.03 to 0.06 part of a siloxane type surface active agent; 5-15 parts of hydrogen peroxide; the inorganic base is composed of a first inorganic base and a second inorganic base, the first inorganic base is carbonate, and the second inorganic base is hydroxide. The cleaning agent disclosed by the invention can be used for efficiently cleaning foreign matters such as oil stains and iron soap on a rolled plate surface in oriented silicon steel production, ensuring that precipitates formed in the cleaning process can be quickly separated from the cleaning agent, and meanwhile, ensuring that substances such as the residual cleaning agent can be efficiently cleaned after the plate surface is cleaned.

The application provides a bearing black spot defect detection method and device based on machine vision, and belongs to the field of industrial production. The detection method enhances an original image through an improved Gaussian filter image enhancement algorithm to obtain an enhanced image; performs ROI extraction on the enhanced image, and obtains an ROI image containing polar coordinates through polar coordinate transformation; performs twice irrelevant feature elimination on the ROI image to obtain a to-be-judged image; and determines whether the to-be-judged image contains surface defects by using a double-threshold processing method. The detection method provided in the application embodiment can reduce processing difficulty and improve the accuracy of bearing surface black spot defect detection.

This invention relates to the field of radiator technology and discloses a rapid detection device for brazing defects in radiators. The device includes: a positioning fixture, a machine structure, a vision camera, a detection and adjustment mechanism, and a marking mechanism. It uses a high-speed, high-precision vision camera, employing an upper light source to illuminate and inspect for light leaks, and a side light source to illuminate from the side to identify black spots at the weld joint. A closed-loop process is employed, featuring two symmetrical, two-degree-of-freedom adjustments, division of labor between the upper and side light sources, light shielding and anti-interference, and orthogonal marking by a dual-marking mechanism with defect coordinate mapping, to rapidly detect brazing defects. Marking is performed on the non-welding area of ​​the radiator to be inspected to identify the defect location, facilitating repair welding of products with appearance defects. The device improves detection accuracy, stability, and precision, reduces inspection costs, and decreases the number of appearance defects.

The present invention provides a pretreatment method for plasma cutting of filter chip wafers. This method ensures uniform application of protective liquid, resulting in consistent groove widths during subsequent laser cutting, effectively preventing bridging and improving chip yield. The method utilizes a two-step spin-coating process, ensuring uniform and dense application of the protective liquid while significantly minimizing air bubbles and reducing etching black spots caused by these bubbles by approximately 90%, effectively ensuring the quality of subsequent cutting.

The invention discloses an orientation method for machining a single crystal. The orientation method comprises the following steps: step 1, leveling a to-be-machined surface of a single crystal material; step 2, determining a circular area with the largest area on the surface to be processed of the single crystal material; thirdly, a plurality of grooves are planed in the to-be-machined surface of the single crystal material, each groove extends to the edge of the circular area from the position close to the center of the circular area in the radial direction of the circular area, and the grooves are distributed around the center of the circular area in the circumferential direction at intervals; 4, the surface to be machined of the single crystal material is cleaned; 5, removing the grooves with black spots or cracks on the bottom surfaces; and 6, the bottom faces of the remaining grooves are subjected to morphology measurement in sequence to obtain the surface morphology characteristics of all the grooves, qualified grooves are screened out according to the surface morphology characteristics, and the extending direction of the qualified grooves is the optimal machining direction of the single crystal material. According to the method, the optimal processing direction of the single crystal material can be quickly determined.

The invention provides a display substrate and a display device, belongs to the technical field of display, and can solve the problem that an existing display substrate is prone to black spots and the like. The display substrate is provided with a hole opening area, a display area surrounding the hole opening area and a blocking area arranged between the hole opening area and the display area. The display substrate comprises a substrate body and an inorganic insulating layer located on the substrate body. The inorganic insulating layer is provided with a groove in the barrier region; the display substrate further comprises a first metal layer; the first metal layer covers the side face of the groove and is in lap joint with at least part of the bottom face of the groove and part of the surface, away from the substrate, of the inorganic insulating layer.

This invention discloses an epigenetic marker related to the variation of body color black spots in red tilapia during overwintering, and further utilizes this epigenetic marker to develop detection primers and a method for determining the variation of body color black spots in red tilapia during overwintering. This method can be applied to the screening of red tilapia exhibiting body color black spot variation during overwintering, selecting genetically stable red tilapia as broodstock for epigenetic breeding. Therefore, by utilizing an epigenetic marker related to the variation of body color black spots in red tilapia during overwintering, a new approach and method are provided for its epigenetic breeding, offering a new scheme for improving the variation of body color black spots in red tilapia.