2496 results about "Color changes" patented technology

The invention discloses a video stream dynamic fragmentation encryption and block chain evidence storage method, and relates to the technical field of video content security, and the method comprises the steps: calculating a color histogram difference value and an optical flow vector change rate between adjacent frames of an input video, marking the difference value as a scene switching point when the difference value exceeds a preset threshold value, and storing the scene switching point; the method comprises the following steps: preliminarily dividing a video into a plurality of scene segments according to scene switching points, performing content complexity evaluation on the scene segments, calculating gray level co-occurrence matrix characteristics of each frame of image through texture density analysis, calculating edge complexity to extract the number and distribution of Canny edges, and performing motion vector statistics to analyze the size and direction of inter-frame object displacement. The change rate between adjacent pixels in the color space is measured according to the color change gradient; the video stream dynamic fragment encryption and block chain evidence storage method is suitable for video contents of different types and complexities, and has relatively high detection accuracy and robustness.

The invention relates to the technical field of remote monitoring, in particular to a mobile terminal remote control monitoring system and method, and the system comprises a video dynamic coding module, a content importance analysis module, a cognitive load adjustment module and an audio optimization and alarm module. According to the method, the change of the network bandwidth can be responded in real time by dynamically adjusting the video coding parameters, the stability and adaptability in data transmission are remarkably enhanced, the dynamic content and color change are accurately captured by analyzing the video frames, and key events are immediately positioned and extracted, so that the emergency response speed and precision are greatly improved, and the data transmission efficiency is improved. Cognitive resources are dynamically distributed by utilizing video stream complexity evaluation, resource configuration is adjusted according to actual requirements, monitoring quality is guaranteed, resource use efficiency is optimized, audio processing is optimized, real-time alarm strategies are adjusted, clear transmission of sound information and alarm timeliness are guaranteed, and the overall response capability and effect are improved.

Eyewear dynamically adjusts viewing effects to match the wearer, the object or scene being viewed (luminance, color prominence, glare, visual blur / noise), other conditions: sensory parameters (gaze direction, focal length, eye gestures, other eye activity, other senses, wearer inputs), medical conditions, wearer location, environmental parameters, wearer activity, use by the wearer, the wearer's field of view. The eyewear can adjust visual features presented to the wearer, such as changes in refraction, polarization / shading, color, prismatic angles / functions, 3D displays. Eyewear can be tailored to form factor: glasses, contacts, RID, IOL, facemask / helmet, vehicles, windows, screens, scopes, AR / VR devices, nerve sensors, external devices. Eyewear can adjust refraction, polarization / shading, color filtering / injection, false coloring, color change; prismatic angles / functions. Eyewear can respond to wearer activity: police, military, firefighter, emergency responder, search and rescue, vehicle operation, sporting / theme-park events, viewing advertising / storefronts, conversation. Hybrid optimization of eyewear can be personalized to users.

The invention discloses a joint denoising training method combining a noiseless image and a noise image. The method comprises the following steps: S1, training an image denoising model: training the image denoising model by using the noiseless image and the corresponding noise image as training data; s2, data enhancement: performing multiple enhancement operations on the input image, wherein the enhancement operations comprise at least one of rotation, overturning, cutting and color change; s3, in a model training process, optimizing the network by using a mixed loss function; s4, implementing a dynamic optimization strategy in the training process: dynamically adjusting the learning rate of the model according to the current denoising effect so as to further improve the convergence speed and denoising performance of the model; and S5, updating the parameters by adopting a self-adaptive optimizer in the model optimization process. Based on the method provided by the invention, the general denoising performance of the image denoising model can be further improved.

The invention relates to the technical field of image analysis, in particular to a camellia oleifera disease and insect pest recognition system based on an image recognition technology, which realizes the structured expression of an image sequence by combining the correlation characteristics of an image time sequence and a scab evolution trajectory, forms a time axis index by using shooting time and cleans redundant images. The method effectively improves the continuity and reliability of input data, comprehensively judges the morphological dynamic state of disease spots and accurately depicts the evolutionary states of disease spot expansion, color change and the like through the comparison mode of edge texture change and main color center offset paths, remarkably enhances the staged judgment capability of disease and pest development, improves the image semantic understanding capability, and improves the image quality. Through a multi-dimension matching strategy of a closed region, a color shift direction, area jump and the like, a calibration coding sequence with traceability and staged grading capability is constructed, and the discrimination sensitivity of the system to the early stage, the middle stage and the diffusion stage of diseases is greatly improved.

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

The invention relates to the technical field of surveying instruments, and discloses a surveying instrument for land surveying, the surveying instrument comprises a theodolite body, a surveying lens and a pressing plate, the surveying lens is arranged above the theodolite body, the pressing plate is arranged below the theodolite body, and the lower surface of the theodolite body is in equidistant threaded connection with four foot screws. When the pressure-induced discoloration film is stressed, the pressure-induced discoloration film can change color and has fluorescence, if one or more pressure-induced discoloration films are not completely reset, the telescopic rod cannot be completely jacked up, the pressure-induced discoloration film does not change color or is not obvious in color change, a user can visually see whether the foot spirals are reset or not through the device, and the user can conveniently use the pressure-induced discoloration film. Therefore, deformation of threads of the theodolite body and the foot screw due to the fact that the foot screw is not reset is avoided, it is guaranteed that the levelness of the theodolite body can be normally adjusted through the foot screw subsequently, and the surveying and mapping accuracy of the theodolite is guaranteed.

The invention discloses a method and a device for improving positive and negative recognition accuracy of a test strip and a storage medium. The method comprises the following steps: acquiring image data of C-line and T-line areas of a test strip by using a multispectral camera; performing feature extraction and optimization processing on the acquired multispectral image; the abstraction detection process is a logic circuit model, and a node feature matrix is constructed; randomly injecting a fault into the model, simulating an environment problem, and generating a test vector; training a graph convolutional neural network model by using the failure response data, and adding cavity convolution; the trained model is applied to analyze real-time data, predict faults and evaluate color changes; if the detection is abnormal, accurately distinguishing red types by using a color difference matrix and time sequence analysis; and calculating the confidence coefficient based on the optimized features and the high-precision color information, and determining an object frame. By implementing the method provided by the invention, the problems of low accuracy, weak anti-interference capability and lack of effective fault simulation in the existing test strip detection technology can be solved.

The invention provides a cleaning method of cleaning equipment and a self-cleaning method, device, equipment and system, and relates to the technical field of cleaning equipment, and the cleaning equipment comprises a color sensor, a floor brush assembly, a suction pipeline and a sewage tank; the color sensor is arranged on a suction pipeline connected between a floor brush assembly and a sewage tank, and the method comprises the steps that in the process that the cleaning equipment executes a cleaning task, first sensing data of a target medium flowing through the suction pipeline is obtained based on the color sensor; analyzing and processing the target medium according to the first sensing data to obtain a target color temperature; analyzing and processing the smudginess information of the target medium based on the target color temperature, and determining a target smudginess level; the cleaning equipment is controlled to be switched to a target cleaning mode corresponding to the target smudginess level, and the to-be-cleaned surface is cleaned; the color change of the target medium is monitored and analyzed in real time through the color sensor, so that the pollution degree can be intelligently judged, the cleaning mode is automatically adjusted, and the cleaning efficiency is improved.

The invention provides a line lamp color transformation control method and device, a lamp and a medium. The method comprises the following steps: acquiring ambient light intensity, color distribution, a user position and an action type in real time; a color mapping model trained by a neural network is utilized to convert the color parameters into color parameters; generating a color transformation instruction based on color mixing and a brightness compensation algorithm according to the color parameters; an instruction is sent to a driving circuit to control color conversion, and meanwhile, according to feedback of a temperature sensor in the line lamp, when the temperature exceeds a threshold value, the switching frequency and the brightness value are reduced, and a transition mode is changed; the normal temperature gradually recovers, and safety and effect are guaranteed. The color of the line lamp is accurately adjusted according to the environment and user behaviors, human eye perception is considered in a color mixing and brightness compensation algorithm, instructions are dynamically adjusted according to the temperature, the lamp is protected, sensors of the lamp are matched, control is achieved through a computer program, and the lighting experience is improved.

To accurately determine a state of even oil in a very thin color or oil in a very thick color when color change of oil (to be measured) is measured by an optical sensor to detect property change of the oil.SOLUTION: The present invention relates to a diagnostic method for oil that uses an optical sensor having a white light source and an RGB sensor arranged, and the diagnostic method for oil includes setting the optical path length of light emitted from the white light source to reach the RGB sensor so that optical density at at least one of a wavelength B and a wavelength G is 0.05 to 1.5 when reflecting the light emitted from the white light source after transmitting it through oil to be measured, detecting the reflected light by the RGB sensor after transmitting the reflected light, reflected by the reflection plate, through the oil to be measured again, and evaluating properties of the oil to be measured based upon a detection signal from the RGB sensor.SELECTED DRAWING: Figure 8

Systems, methods and apparatuses are described for dimming one or more portions of an extended reality (XR) display. Control circuitry may be configured to generate for display, at the display, an XR object. A dimmable optical element may comprise a plurality of up-converting nanoparticles and a photochromic material, and is configured to cause a change in color of at least a portion of the display. The dimmable optical element may be irradiated with light of a first energy level which causes the plurality of upconverting nanoparticles to emit light of a second energy level higher than the first energy level. The photochromic material may absorb the light of the second energy level to cause the change in color of the at least a portion of the display.

The invention discloses a method for predicting color change of an ultra-wide color gamut conjugated polymer microsphere. The method comprises the following steps: collecting solution mass ratio data of previous three-primary color polymer solutions; obtaining annealing condition data corresponding to the solution mass ratio data; acquiring color change data of the conjugated polymer microspheres under the annealing condition data; taking the data as sample data to train a neural network model to form a color change prediction model; new solution mass ratio data and annealing condition data are used as target data to be input into a color change prediction model for prediction; and through a black body radiation RGB conversion formula, converting new color temperature data and brightness data output by the prediction color change model into three-primary color values, and completing prediction. Through the method, the prediction model can rapidly predict the color temperature and the brightness of the conjugated polymer microspheres, and industrial personnel can rapidly prepare a conjugated polymer material of which the color and the brightness are adaptive to the specific industrial application field according to new target data and prediction results.

The invention relates to the technical field of data analysis and evaluation, in particular to a color fastness evaluation method and system, and the method comprises the following steps: setting test conditions to simulate external factors encountered in the actual use or processing process of textiles; under the simulated test condition, treating the textile sample for a preset time; acquiring a multispectral image of the textile by adopting a multispectral imaging technology, and capturing color change of the textile; developing a self-adaptive image enhancement algorithm, and performing preprocessing; comparing spectral information of the multi-spectral image of the textile before and after processing based on chromatic aberration evaluation analysis so as to quantify the color fastness; analyzing the multispectral image after image enhancement by using a deep learning technology, extracting color attenuation features, and comprehensively evaluating a color fastness score; according to the color fastness evaluation method, basic color difference information is considered, advanced features such as textures, edges and local color modes of the textile are further included, and the accuracy and reliability of color fastness evaluation are remarkably improved.

The invention belongs to the technical field of foundation pit supporting, and particularly relates to a steel sheet pile joint sealing performance in-situ detection process and a monitoring method. Through the cooperative design of the embedded pipe and the detection hole, the embedded pipe is filled with the liquid reagent, and if leakage happens to the joint of the steel sheet pile, the solid reagent in the detection hole can make contact with the liquid reagent to change color. Leaking stoppage is carried out after the color changing position is detected, and long-term monitoring is carried out by monitoring the soil body index of the leaking position so as to be used as a supplement of a detection process. The problem of ex-situ detection of steel sheet pile joint leakage and the problem of difficulty in leaking stoppage are solved, and the normal function of the steel sheet pile under the long-term working condition can be guaranteed.

The present invention provides an application of a type of inorganic material in the preparation of a color-changeable polymer material, and also provides a color-changeable polymer material prepared based on the type of inorganic material and a preparation method thereof, which belongs to the field of polymer laser processing technology. The inorganic material described in the present invention is an inorganic compound containing tungsten and / or molybdenum. The present invention prepares a color-changeable polymer material after adding a specific inorganic material as an additive to a polymer. Under the action of laser, the polymer material has an excellent color-change effect, and various color marks can be formed on the polymer material. The obtained color marks are clear and flat with high contrast. At the same time, the polymer material is light in color, and color marking can be achieved on a light-colored substrate, thereby expanding the scope of application. In addition, the preparation method of the color-changeable polymer material of the present invention is simple, easy to operate, safe, environmentally friendly, and very suitable for industrial applications.

Wait times at ATMs may undermine the utility of these self-service machines. ATMs are configured to provide faster self-service kiosks that allow users to quickly perform common financial transactions. However, it has been increasingly common for users to have to wait in a queue to access an ATM. Systems and methods are provided for an ATM that pre-stages transactions by extracting account balance, account status, account fraud, and other necessary information from a plurality of smart cards, before a user begins interacting with the ATM. Information extracted from the plurality of smart cards may be transferred to the ATM wirelessly. Color changes may then be sent from the ATM to the plurality of smart cards. The color changes indicate whether the plurality of smart cards may transact with the ATM without any additional information, thereby improving the transaction processing efficiency of the plurality of smart cards and enhancing user satisfaction.

The present invention discloses a jaundice detection method and system based on visual recognition, and the detection method comprises: obtaining first image data of a person to be detected under white light shooting illumination, and obtaining second image data of the person to be detected under blue light shooting illumination; performing image color extraction on the first image data based on HSV color space to obtain color data of the first image data; performing comparison on the color data of the first image data with the image chromaticity data of a standard image to obtain first comparison data; extracting the proportion of green component and yellow component from the second image data based on Lab color space recognition, and obtaining second comparison data based on shooting parameter settings; obtaining an image yellow chromaticity change evaluation value of the person to be detected based on the first comparison data and the second comparison data, and outputting a detection result based on the evaluation value. By performing image analysis on the yellow component change value, the image detection accuracy is improved, thereby improving the evaluation reliability of the occurrence of jaundice symptoms.

The invention provides a medical equipment optical element waterproof film quality detection method and system, and belongs to the technical field of detection, a light source is controlled to emit light to a horizontally placed to-be-detected optical element from N different directions along the same light emitting angle, and N detection images are acquired based on an image acquisition device; and comparing at least three of the images, obtaining a plurality of change parameters for representing the color change degree according to the comparison result, and determining whether the optical element to be detected is qualified or not according to the consistent degree of the plurality of change parameters. According to the medical equipment optical element waterproof film quality detection method and system provided by the embodiment of the invention, detection of the uniformity degree of the film on a non-planar element is realized through comparison of overall colors.

The invention relates to the technical field of textile fabric image processing, in particular to a color change characteristic analysis method and system for a highly-dyed polyester fabric. The method comprises the following steps: firstly, testing a highly-dyed polyester fabric sample under different testing conditions, and collecting multispectral images of the fabric sample before and after testing; secondly, preprocessing the multispectral image before and after the test by using an image processing algorithm to restore a real color; then, the color difference of the fabric sample before and after testing is calculated, and the color change grade is set; then, color change features of the fabric sample image are extracted, and potential features of the fabric sample image are extracted through a GAN model; and finally, performing color change grade classification and color difference value prediction on the tested fabric sample image by using the SVM model, and analyzing the color change influence of different factors on the highly dyed polyester fabric. According to the method, color change characteristic analysis is performed on the highly-dyed polyester fabric in combination with the GAN-SVM model, and accurate color change grade classification and color difference value prediction are realized.

A substance detector includes curcumin and is safe for human handling. The curcumin, as part of a wetting agent of the substance detector, changes color on contact with opioids and related illicit substances. A corresponding method detects very small quantities of an opioid via a rapid color change on a wet wipe when contacted with the opioid. Because the color change takes place on the wet wipe relatively quickly, there is no need to mix reagents to produce a color change reaction.

The invention relates to the technical field of image processing, in particular to an optical lens surface defect detection method and system based on image processing, and the method comprises the following steps: obtaining an optical lens surface image, decomposing the optical lens surface image into three independent color channel intensity data of red, green and blue, and performing contrast adjustment on the color channel intensity data of each channel to generate a corrected color channel set. According to the invention, through performing detailed color channel decomposition and targeted contrast adjustment on the obtained surface image of the optical lens, the color difference degree between the defect area and the background area in the image of the optical lens is improved, and the detail expression effect of the defect area is enhanced; furthermore, through local calculation of intensity difference between color channels and spatial gradient amplitude analysis, color change and spatial features are effectively fused, and the visual expressive force of a defect area is enhanced.

The invention discloses a brake disc manufacturing process, and relates to the technical field of brake disc manufacturing. The brake disc manufacturing process specifically comprises the following steps that S1, a casting is purchased, and machining operation is conducted on the casting, so that an initial disc is obtained; s2, carrying out first cladding operation on the disc surface of the initial disc; according to the manufacturing process of the brake disc, while color individuation of the brake disc is guaranteed, the color of a disc body of the brake disc is guaranteed by applying a laser cladding technology, and one or more special metal or nonmetal wear-resistant layers are formed on the surface of the brake disc, so that the wear resistance and the rust resistance of the brake disc are improved, the attractiveness is improved, and the attractiveness and individuation of the brake disc are improved; the automobile brake disc is subjected to surface treatment through laser coating, the metal coating is formed, coloring agent materials such as metal or metal compounds or ceramic are added while laser coating is conducted, color changing of multiple colors can be conducted on the brake disc, and the effect that the brake disc is not discolored after long-term operation can be kept.

The invention relates to the technical field of image data processing, in particular to an intelligent defogging method and system for a remote sensing image and a storage medium, and the method comprises the steps: obtaining a to-be-defogged remote sensing image; performing brightness analysis on the plurality of to-be-processed areas in the to-be-defogged remote sensing image to obtain the definition of each to-be-processed area; performing color change analysis on the pixel points in each to-be-processed area to obtain the detail representation degree corresponding to each pixel point; according to the detail representation degrees, obtaining detail features of the to-be-processed areas, and according to the detail features, performing detail difference analysis on the plurality of to-be-processed areas to obtain detail richness degrees of the to-be-processed areas; and obtaining a defogging weight of each to-be-processed area according to the definition and the detail richness, and performing intelligent defogging processing on the to-be-defogged remote sensing image according to the defogging weight. According to the method, image data processing is carried out on the to-be-defogged remote sensing image, so that the processed image is clear, and detail features can be reserved.

The invention belongs to the technical field of high polymer materials, and discloses a force-induced unclonable label as well as a preparation method and application thereof. Electronegative monodisperse polymer nanospheres are prepared through emulsion polymerization, and after being swelled by using an isooctyl acrylate monomer, the nanospheres, acrylamide and ethylene glycol dimethacrylate are mixed, polymerized and photocured to form the structural color hydrogel film. The hollow-out steel template is used for mechanical force pressing, randomly-distributed microcrystalline light spots are obtained after a solvent is volatilized, the optical property of force-induced discoloration is displayed, and rapid and effective identification can be achieved. Compared with a traditional hydrogel anti-counterfeit label, the label has higher stability and reusability, does not need a solvent, and is environmentally friendly and practical. The technology not only realizes high-level anti-counterfeiting and encryption, but also has the potential of large-scale production.

The utility model relates to the technical field of extrusion molding equipment, and discloses a quick color changing device for secondary coating of an optical cable, which comprises a main machine hopper, a support plate is fixedly connected in the main machine hopper, mounting ports are symmetrically arranged on the support plate, a first containing hopper and a second containing hopper are arranged at the mounting ports, and the first containing hopper and the second containing hopper are arranged in the main machine hopper. A color changing assembly is arranged on the supporting plate and comprises a control rod rotationally installed on the supporting plate, the upper end of the control rod is fixedly connected with a color changing knob, a color changing piece is fixed to the lower end of the control rod, and the color changing piece is in a cross shape. According to the color changing device, the color changing component is arranged, the color changing knob can be rotated to realize the function of releasing the color masterbatch, so that the natural color base material and the color masterbatch can be conveniently mixed, the function of quickly changing the color is realized, and the color changing device is compact in overall structure, does not need to additionally occupy the space at the upper part of the screw extruder and is convenient to use.

The invention provides a non-contact physiological and psychological health detection device based on AI. The non-contact physiological and psychological health detection device comprises a cabinet, a host, a liquid crystal display, a high-precision camera, a multi-wavelength RGB camera, a light supplement lamp, an identity card swiping module, a social security card swiping module, an IC card swiping module, a printer and a power supply. A high-precision camera is adopted to collect a face image of a human body, and face parameters are obtained based on the face image; a multi-wavelength RGB camera is adopted to detect subtle color changes caused by human skin surface pulses, an RPPG technology is utilized to extract blood volume pulse signals, then physiological parameters are obtained, and a deep learning network is utilized to analyze and process the facial parameters and the physiological parameters in real time so as to evaluate the health state of a user. And data visualization is carried out on the result, the facial parameters and the physiological parameters output by the AI analysis module, and the data are displayed in a liquid crystal display, so that a user can better know the health state of the user.

The invention belongs to the technical field of display, and particularly relates to a self-adaptive display method of an LCD (liquid crystal display) screen, terminal equipment and a storage medium. And according to the frame rate of the video to be played and the pixel color change condition in the color sequence corresponding to each frame, determining that the duration required for completing each color change in the color sequence by the pixel is within the duration limited by the frame rate, if not, carrying out replacement adjustment on the color in the color sequence by using the replacement color in the replacement color set, and if not, carrying out adjustment on the color in the color sequence by using the replacement color in the replacement color set. According to the method and the device, each color change in the pixel completion color sequence is ensured to be within the limited duration, so that the problem of smear and ghosting during video playing is prevented, and the replacement process is not perceived by a user because the replacement color and the replaced color are the same color which cannot be distinguished for the user, so that the overall watching experience of the user is ensured.

The invention belongs to the technical field of intelligent food packaging films, and particularly relates to a nanometer composite fiber film based on vegetable protein and application of the nanometer composite fiber film. The preparation method comprises the following steps: dissolving gallic acid, an anthocyanin composite extract and rapeseed protein in deionized water, and uniformly stirring to obtain a spinning core solution; the preparation method comprises the following steps: dissolving zein in acetic acid, and then adding into water to obtain zein soluble liquid; uniformly mixing and stirring the zein solution and the Arabic gum mixed solution to obtain a shell solution; the shell liquid and the core liquid are subjected to coaxial electrostatic spinning, tin foil paper serves as a receiving base material and is collected through a rotary drum, and finally the nano-composite fiber membrane is obtained. According to the method, the color development difference of anthocyanin under different pH conditions is widened, the color development sensitivity is improved, and the freshness of food can be judged more visually according to color changes. Meanwhile, the composite membrane prepared through electrostatic spinning has larger specific surface area and higher ductility, and the mechanical performance of the composite membrane is improved.