265 results about "Black spot" patented technology

The invention discloses an automatic emergency braking control method and device based on a black spot technology and a vehicle. When the vehicle enters a black spot area, the vehicle obtains an optimal active braking parameter to correct the active braking parameter of the vehicle, and automatic emergency braking is executed based on the corrected active braking parameter; the method for obtaining the optimal active braking parameters comprises the following steps: dynamically delimiting a black spot area according to multi-dimensional data when emergency braking of each vehicle is triggered; obtaining the multi-dimensional data in the black spot area; and obtaining the optimal active braking parameters based on the vehicle speed, deceleration fluctuation, braking distance, vehicle weight and environment information during emergency braking. And the optimal active braking parameter when emergency braking is triggered in the black spot area is obtained. According to the method, the black spot technology is combined, the black spot area is established, ADAS program upgrading is conducted on the vehicle entering the black spot area, the vehicle can better adapt to the vehicle condition and the road condition in the area, the active braking curve is optimized, the comfort degree is improved, the situation that braking is not stopped after the automatic emergency braking function is triggered is reduced, and safety is improved.

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 carsickness relieving method and system based on display screen dynamic background image enhancement, and the method comprises the steps: collecting the acceleration and posture data of a vehicle through a sensor, and carrying out the real-time fusion processing of the data through a data fusion algorithm; the input display picture is cut and zoomed, a black and white stripe area is set, black and white stripes are controlled to move, the rotation angle of an effective display area is adjusted in real time through an algorithm by means of sensor data, black spots are set in the effective display area to move up and down for visual compensation and other processing, and video signals are transcoded and processed; and the video content is output to an adaptive display interface, so that the display of the video content is realized, carsickness is relieved by introducing visual prompts to passengers in the vehicle, and the comfort and the sense of safety of the passengers are improved.

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 utility model discloses a walnut external quality sorting device, and belongs to the technical field of agricultural product sorting devices. The feeding mechanism is in butt joint with the carrier roller conveying mechanism, the carrier roller conveying mechanism is in butt joint with the sorting mechanism, and the image collecting mechanism is installed on the carrier roller conveying mechanism. Images of walnuts are collected through the image collecting mechanism and transmitted to a machine vision algorithm to obtain category information and position information of the walnuts, and then the sorting mechanism is controlled to sort the outer quality of the walnuts; mechanical equipment is matched with a visual technology to sort the external quality of walnuts, so that the walnuts can be prevented from being damaged due to the fact that the mechanical equipment is independently used for sorting, and black spots and damaged walnuts which cannot be detected by the mechanical equipment can be detected. The damage rate is reduced; meanwhile, the sorting efficiency of the external quality of the walnuts can be ensured.

The invention provides a screen assembly and a display device, relates to the technical field of display, and can reduce the possibility that a screen generates black spots or die marks. The screen assembly comprises a screen and a camera decorating part. The screen is provided with at least one through hole. The camera decorating part comprises an outer decorating part, an inner decorating part and at least one force release boss. The outer trim body is located on the display side of the screen, and the inner trim body is located on the back side of the screen. The at least one force release boss is contained in the at least one through hole. The at least one force release boss is arranged on the inner decorating part main body, and the distance between the at least one force release boss and the outer decorating part main body is a second distance, or the at least one force release boss is arranged on the outer decorating part main body, the distance between the at least one force release boss and the inner decorating part main body is a second distance, and the second distance is smaller than the first distance; therefore, in the process that the camera decorating part moves towards the screen under the impact of external force, the decorating part can be prevented from impacting the screen by means of the force relief boss before the decorating part is in contact with the screen.

The invention belongs to the technical field of mobile phone display screen detection, and particularly discloses a defect detection method based on a smart mobile phone display screen. Graying and denoising the collected surface defect image of the original display screen; performing feature labeling and expansion on the preprocessed image; on the basis of the U-Net network, a residual block is inserted, common convolution is replaced by depth separable convolution, and an attention module is added; performing batch training on the cross entropy loss function by using a stochastic gradient descent method, continuously updating parameters of the network model, and optimizing the parameters of the network model by using an Adam method; when the output value of the loss function is reduced and does not change any more, iteration is stopped; and inputting a to-be-detected mobile phone display screen image into the trained network model for detection, if the mobile phone display screen is detected to have a defect, outputting a defect binary image of the mobile phone display screen, and calculating the real size of the defect. According to the invention, surface defects such as scratches and black spots of the mobile phone display screen can be rapidly and accurately detected.

The invention discloses a rapid sex identification method for propylaea japonica adults, and relates to the technical field of insect sex identification. Collecting adult propylaea japonica; if triangular black spots or hourglass-shaped black spots exist in the middle of the forehead of the head of the adult, the adult is female; if the middle part of the forehead of the head of the adult has no triangular black spot and is yellow or milky copper bell-shaped, the adult is male; the propylaea japonica adults are adults within the third day to the thirtieth day of eclosion, the elytra color spots are in a turtle pattern shape, and the forehead of the head is yellow or milky white. According to the method disclosed by the invention, the cost is hardly needed, the operation is very simple, the sex of the propylaea japonica adults can be accurately identified under the condition of hardly damaging the propylaea japonica adults, and related researchers can completely grasp the sex of the propylaea japonica adults only by being slightly familiar with the forehead morphological characteristics of the adults.

The embodiment of the invention provides a dimming device, a preparation method and a dimming structure, is used for reducing the risk that black spots appear on the dimming device, and relates to the technical field of display. The preparation method of the dimming device comprises the following steps: forming a first laminated structure; forming a rubber frame on one side of the first laminated structure; a second laminated structure is attached to the side, away from the first substrate, of the rubber frame; laminating the first laminated structure, the rubber frame and the second laminated structure; injecting liquid glue into the first gap through the at least one first opening; and curing the liquid glue to form a second adhesive layer. The dimming device is used for adjusting the light transmittance.

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 discloses a bearing bush gap film thickness measuring device based on machine vision and a working method. The device comprises a bearing bush part, a camera part and a multi-shaft dual-drive mechanical arm part. Wherein the base part is fixed to the ground of a workshop, the multi-shaft dual-drive mechanical arm part, the bearing bush part and the camera part are all fixed to the upper portion of the base part, and the multi-shaft dual-drive mechanical arm part is located between the camera part and the bearing bush part; the multi-shaft dual-drive mechanical arm part is used for carrying out light source irradiation on the bearing bush part; a first multi-axis mechanical arm and a second multi-axis mechanical arm of the multi-axis dual-drive mechanical arm part are fixed to the base part, and colored strip-shaped light sources are clamped on finger joints of the first multi-axis mechanical arm and finger joints of the second multi-axis mechanical arm correspondingly. According to the invention, pictures collected by a plurality of angle light sources are compared, so that the phenomena of black spots, wiredrawing and impurities possibly existing on the surfaces of the alcohol film and the bearing bush can be accurately identified; and a large amount of manpower and material resources are prevented from being consumed for repeatedly loading and unloading the bearing bush and scraping.

The invention relates to a femtosecond corneal refractive surgery aspiration and black spot early warning method and device and a storage medium. According to the invention, the deep learning model composed of the encoder and the decoder is set, the trained deep learning model is used to output the prediction frame at the current moment, the prediction frame at the current moment is compared with the real frame, and when the prediction frame and the real frame are deviated, it is judged that the real frame deviates from the prediction direction. Therefore, the aspiration loss or the black spots can be judged when the real frame deviates from the prediction direction, the aspiration loss can be detected in time in the whole femtosecond operation process, early warning can be carried out before the aspiration loss occurs, the aspiration loss occurrence rate is reduced, and the safety is improved.

The invention discloses a nanoscale anti-oxidation film thickness measuring method, and relates to the technical field of nanoscale film thickness measurement, and the nanoscale anti-oxidation film thickness measuring method comprises the following operation steps: soaking a metal foil containing a nanoscale anti-oxidation film in a hydrochloric acid solution, recording the residual liquid as an extraction liquid, and recording the volume of the extraction liquid as V1; diluting the extract, and recording the dilution rate as a; carrying out ultrasonic treatment on the diluted extraction liquid, taking the liquid, titrating the liquid on a polished silicon wafer, and recording the volume of the taken liquid as V2; carrying out heating treatment under a protective atmosphere, measuring the wetting and spreading area, and recording the wetting area as S2; performing multi-point measurement on the film thickness of the obtained sample through an atomic force microscope, and calculating the average film thickness which is the minimum fragment film thickness h2; analyzing the proportion of black spots in the measured picture through pixel points, and recording the proportion of the black spots as b; and substituting into a formula h1 = a * S2 * V1 * b * h2 / (V2 * S1) to calculate the film thickness h1 of the nanoscale anti-oxidation film.

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.

The present invention discloses a display substrate and a display panel. The display substrate includes: a substrate having a display area, a punching area, and a critical area disposed between the display area and the punching area. In the direction from the display area to the punching area, the critical area includes a first isolation column area, a barrier wall, and a second isolation column area arranged in sequence. The first isolation column area has at least one first isolation column, and the side wall of the first isolation column facing the display area is covered with an insulating layer. Thus, the occurrence of black spot defects in the display area can be reduced through the setting of the insulating layer, and the display effect can be improved.

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 invention discloses a display panel, a preparation method thereof and a display device, and relates to the technical field of display. A first wiring layer of a power wiring in the display panel is provided with a first target area exposed by a through groove area of a first organic film layer, and the orthographic projection of a third material layer, located in the first target area, of the first wiring layer on a substrate is located in the orthographic projection of a second material layer on the substrate. The orthographic projection of the second material layer, located in the first target area, of the first wiring layer on the substrate is located in the orthographic projection of the first material layer on the substrate. Therefore, a packaging film layer subsequently formed by the display panel can be prevented from generating cracks in the first target area, and then water and oxygen are prevented from invading the display area along an invasion channel generated by the cracks. According to the scheme, the light emitting effect of the pixel units in the display area can be guaranteed, the display area is prevented from generating black spots, the yield of the display panel is high, and the display effect of the display panel is good.

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 present application relates to an optical device, in which the cell gap of a liquid crystal cell is properly maintained, the upper and lower substrates have excellent adhesion, and the optical device can be pressed after a high-temperature and high-pressure autoclave process to prevent black spots.

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.