270 results about "Color recognition" patented technology

The invention belongs to the field of environment monitoring and computer vision, and particularly relates to a water body color recognition regression method and system based on space-time causality and manifold learning, and the method mainly comprises the steps: carrying out the detection of a current target water body video sequence, extracting a water body region, carrying out the high-dimensional feature dimension reduction of the water body region, and obtaining a water body color recognition result; and performing feature extraction on the water body region through a space-time causal feature learning model, fusing the flow shape learning features and the space-time causal features to obtain fused features, and outputting a finally predicted water body color value. According to the method, end-to-end assembly line design of preprocessing-segmentation-feature modeling-regression is adopted, manual intervention is not needed from video input to color prediction, and through cascade cooperation of five core modules (video preprocessing, water body segmentation, manifold learning, time sequence causal modeling and color recognition), the real-time performance of the system is improved. Full-link automation from environmental interference suppression, feature extraction to result output is realized, information loss of intermediate links is avoided, and recognition efficiency and robustness are improved.

The invention discloses an indicator light multi-state cascade identification method based on a deep learning shared network, and belongs to the field of intelligent inspection of power equipment. According to the method, low-order textures and spatial features of an image are extracted through a unified convolutional neural network, and a shared feature map is formed; a channel separation mechanism is adopted, the shared feature map is distributed to color recognition and state detection parallel branches according to dimension weights, the form discrimination branch on the uppermost layer analyzes geometric contour features through a full-connection layer, and circular / strip-shaped classification is achieved; the color identification branch adopts a dual-channel convolution kernel to respectively strengthen red / green spectral response, and color judgment is completed through feature map comparison; state detection branches fuse space pooling and brightness statistical analysis, and a decision boundary of an on-off state is established. According to the method, parameter redundancy can be reduced, the identification precision of each sub-task is improved, and the requirement of the inspection equipment for real-time judgment of a multi-dimensional state is met.

The invention discloses a multi-channel integrated marketing contact content management system and method, and relates to the technical field of marketing contact content auditing, and the method comprises the steps: creating a plurality of marketing contacts in a unified management platform, and configuring a delivery channel; establishing a design specification rule base; receiving a marketing content picture uploaded by the user and associating the target channel with the contact; calling a rule base on the basis of a contact type, starting an AI auditing engine to carry out automatic compliance inspection on the picture, including preprocessing, layout identification, character extraction and character number statistics, font and character size identification, color identification and functional element detection, and comparing an identification result with a rule to generate an auditing result; and approving the delivery of compliant content and tracking the effect, and optimizing an AI engine and a rule base based on data. According to the method, AI intelligent auditing is embedded into the marketing content publishing process, multi-channel integrated management and intelligent auditing of the marketing content are achieved, the auditing efficiency and accuracy are remarkably improved, it is guaranteed that the content is standard and unified, and the labor cost is reduced.

The invention discloses an electric vehicle rear-end collision accident prediction method and system based on large model knowledge and trajectory data. According to the method, two vehicle types of an electric vehicle and a fuel vehicle are identified based on license plate colors, the vehicle types and vehicle tracks are bound, and the following process is divided into three states according to the combination of the front and rear vehicle types. On the basis, multi-dimensional features extracted from historical tracks are input into a large language model, expert-level rule knowledge used for distinguishing accidents and non-accidents is extracted through structured cues, and a final feature matrix is constructed according to the knowledge. And finally, based on the final feature matrix, performing differentiation processing on the three car-following states, training and calibrating a dichotomy model, and realizing real-time estimation of the rear-end collision probability at a specific moment in the future. According to the invention, by fusing the reasoning ability of the large model and the real trajectory data, the accuracy and interpretability of rear-end collision risk identification under the electric vehicle participation scene can be significantly improved, and the method has engineering deployment value.

The invention provides a vision-based paper anomaly detection method and device, and the method comprises the steps: configuring a template drawing for a detection region, determining a detected effective region mask according to the template drawing, and setting a counting standard-reaching parameter; collecting a preset number of initial environment images in the detection area for initial judgment when detection is started; after the initial judgment is completed, collecting a real-time environment image according to a preset time interval, determining an effective area and an invalid area in the real-time environment image according to the effective area mask, performing color recognition on the effective area in the real-time environment image, and performing frequency domain calculation on the invalid area; according to an effective area color identification result and an invalid area frequency domain calculation result of the real-time environment image and the counting up-to-standard parameter, whether paper breaking and shielding occur currently is judged; the method can improve the reliability of broken paper detection.

Battery life cycle management is facilited with distinct visual cues of colors and color-coded combinations. The color-codes enable battery types and characteristics over the course of the life of the battery to be determined. The color-codes are based on a color system that indicates a performance rating of the batteries. A system for managing the color-coded batteries selects color-coded batteries for use based upon color, maintaining color based functionality, and color-coded battery indication for destruction of the battery at the end of its life cycle.

The invention discloses an intelligent regional refrigeration adjusting system and method based on multi-mode sensing, relates to the technical field of refrigerated cabinets, and aims to solve the problem that a traditional refrigeration device only conducts passive adjustment through pressure and temperature and cannot sense material decay in the early stage. The system comprises a pressure / temperature acquisition module, a state sensing module (a color recognition unit and a smell recognition unit), a grading decision module and a cold supply adjusting module, and material states are divided into L0-L3 four levels; according to the method, multi-modal data are synchronously obtained through a depolarization method, color / smell change indexes are obtained after processing, state grades are judged, customized cold supply instructions (such as L1 cooling and wind speed increasing and L3 limit refrigeration and isolation) and early warning instructions are generated in combination with pressure and temperature, and the instructions are independent in different areas.

Apparatus and associated methods relate to image generation systems. In an illustrative example, an image capturing module (ICM) may be configured to capture a real-time image of a target object (e.g., a car). The ICM, for example, may include a gyro-sensor and a user interface. For example, in a studio mode, the ICM may automatically generate a 360° image of the target object as a function of the gyro-sensor measurement. In a guided capture mode, for example, the ICM may generate guidance indicia at the user interface to assist in capturing components of the target object. In some implementations, the ICM may automatically apply image adjustments based on pixel segmentation and color identification such that the images captured are according to a predetermined image standard profile. Various embodiments may advantageously automatically be captured and standardized images of a target object based on the real-time image.

The invention provides a color identification method and system for allium chinensis and sorting equipment. The method comprises the following steps: acquiring an allium chinensis image; performing background segmentation on the allium chinensis in the allium chinensis image to obtain an allium chinensis segmented image; identifying a white area in the segmented allium chinensis image; and according to the allium chinensis segmented image and the white area, reversely deducing a defect area to obtain a mixed-color area. The method can effectively identify the mixed color area of the allium chinensis, and improves the accuracy of allium chinensis color identification.

The application discloses an aggregation-induced emission metal organic framework, a preparation method thereof and fluorescent / colorimetric dual-mode intelligent detection for trace HCl. 2+ The aggregation-induced emission metal organic framework is prepared by providing Zn(NO3)3.6H2O as Zn 2+ , imidazole-2-formaldehyde and an AIE molecule HDBB as organic ligands, and through a solvothermal method to obtain ZIF-90-HDBB, which can change the aggregation state fluorescence from yellow green to orange red after being contacted with HCl gas; the ZIF-90-HDBB is uniformly loaded on cellulose filter paper to obtain a paper-based sensor for portable detection of HCl, and through combination with a color recognition APP of a smart phone, the HCl can be rapidly and sensitively detected on site in a fluorescent / colorimetric dual mode. Since the HDBB molecule is prone to protonation under acidic conditions, the fluorescence color changes, and therefore the material can be accurately and efficiently used for detection of acidic gas, and the material can be recycled.

A method for automatically identifying and converting a control mode and energy and an IPL intense pulsed light therapeutic apparatus are characterized in that a color identification module on a host of the intense pulsed light therapeutic apparatus is used for collecting colors of a color identification area on a lamp holder cover, and color information identified by the color identification module is transmitted to a control system; the control system compares the identified color information with preset color data so as to judge the type of the lamp cap cover; the control system distributes preset corresponding control programs and energy levels according to the judged types of the lamp cap covers; after the intense pulsed light therapeutic instrument host receives an actual control instruction of a user, the control system outputs corresponding energy to the user through the window areas on the therapeutic surface and the lamp cap cover according to the distributed control program and energy level, and different treatments are carried out. According to the invention, the original color recognition function of the intense pulsed light therapeutic apparatus is utilized, different types of magnetic covers can be automatically recognized and controlled, various requirements of users are met, and the cost is not increased.

AUTOMATIC COLOR IDENTIFICATION TECHNIQUES In some embodiments, a computer-implemented method for automatically determining harmonious colors is proposed. A computer system receives a color selection and uses the selected color to retrieve a cleavage surface in a uniform color space. The computer system presents one or more other colors of the cleavage surface as harmonious colors with respect to the selected color. Figure for the abstract: none

The application discloses a kind of auxiliary positioning mistake-proofing tool for hand welding of navigation plug connector. It includes tool base and rotary disc, the rotary disc is rotatably connected with tool base, further includes a plurality of navigation plug positioning tool arranged on rotary disc, a plurality of the navigation plug positioning tool is fixed along the circumference on rotary disc, a plurality of the navigation plug positioning tool is respectively provided with positioning cavity of different positioning structure inside, the positioning cavity is used for positioning navigation plug connector of different model specifications, the installation in position detection switch pin is arranged in the positioning cavity, the installation in position detection switch pin is used for contact detection whether navigation plug connector is installed in position, the installation in position detection switch pin is electrically connected with indicating lamp and power supply. The application can assist welding personnel to clamp, position, solder wire color identification quickly, so as to reduce the damage to navigation plug connector body, and realize quick positioning mistake-proofing, improve clamping efficiency and product welding quality.

The present application relates to a kind of color titration identification method, system and equipment based on combination prediction model, belong to solution titration identification technical field, its method includes: using hue measured value trains ARIMA model;Judge the difference between the hue measured value after each titration and the hue predicted value of ARIMA model whether greater than first threshold value;If yes, then determine the current titration point as color mutation inflection point, and at least three consecutive hue measured values after color mutation inflection point are used to train linear regression model;Based on the linear regression model after training, iteratively execute three times hue value prediction and titration operation, until the average difference between the predicted value and the measured value for three times is less than second threshold value, determine the first drop point in the first three drop points as color smooth inflection point.The present application uses different models to identify color in different reaction stages, which can adapt to the demand of multi-color titration formula, and improve the accuracy and anti-interference ability of color titration.

The invention provides a spatial positioning method for surveying and mapping, and relates to the technical field of laser radar positioning. The method comprises the following steps: projecting color grid light to a to-be-mapped area through color coding to form a positioning grid, acquiring two images for turning on and off the grid light by using image acquisition equipment, extracting grid intersection points as control points through color recognition, and obtaining pixel coordinates of the control points; measuring light is emitted to the control point through at least three measuring light projection points, and the three-dimensional coordinates of the control point are solved through spatial distance intersection; in combination with the pixel coordinates and the three-dimensional coordinates of the control points, reversely solving the pose of the image acquisition equipment through a heterovariance total least square model; the pixel offset of a target feature point and the pixel offset of an adjacent control point of the target feature point are recognized and converted into the actual distance offset in combination with the pose, and therefore the three-dimensional coordinates of the feature point are calculated. According to the invention, optical active projection and optical distance measurement are effectively fused, and high-efficiency three-dimensional space positioning is realized.

This invention provides a diesel engine abrasive particle color recognition method based on adaptive clustering and a dual-mapping standard, comprising the following steps: automatic extraction of diesel engine abrasive particle color through adaptive clustering; and automatic recognition of diesel engine abrasive particle color based on the extracted abrasive particle color using a dual-mapping standard. The beneficial effects of this invention are: automatically extracting abrasive particle color and associating it with abrasive particle material and harsh wear process, satisfying the two major work objectives of diesel engine abrasive particle material identification and harsh wear process identification, and achieving automatic recognition of diesel engine abrasive particle color using a dual-mapping standard; introducing a standard color system, the extracted color features are first compared with the standard color system to determine the color name, and then compared with an abrasive particle color library based on the standard color system for identification, which can effectively reduce the impact of uncertain contaminants such as dust and fibers on the identification process and reduce identification errors.

This utility model discloses an automatic mold changing mechanism with detection and replacement functions, belonging to the field of mold technology. It includes a frame, with a riveting machine body slidably mounted on the outer side of the frame. A riveting mold mounting cavity is fixedly mounted on the top of the riveting machine body. A riveting mold changing robot is mounted on the outer side of the frame, with a riveting mold picking robot and a riveting mold assembly robot respectively mounted at its upper and lower ends. In this utility model, after receiving a riveting mold to be replaced, the riveting mold changing robot proceeds to the mold changing mechanism to replace the riveting mold. After picking up the mold, the riveting mold picking robot checks whether the color of the riveting mold corresponds to the set color of the picked-up point at the riveting mold color recognition sensor. After confirmation, the riveting mold assembly robot takes the picked-up riveting mold to the riveting mold detection camera to check whether the picked-up riveting mold meets the preset value. The riveting mold detection camera's camera end is located at one end of the riveting machine body and the opening end of the riveting mold mounting cavity, which can help to understand whether the color of the riveting mold is consistent after mold changing.

The invention provides a pancreatic fistula early warning type peritoneal drainage device and a nursing method.The device comprises a drainage body, a monitoring unit, a data processing unit and an early warning unit, the drainage body is connected between an in-vivo drainage tube and an in-vitro collection bag, and the monitoring unit is arranged in a drainage channel of the drainage body; the monitoring unit comprises a flow sensor, an amylase sensing chip and a color identification sensor; the data processing unit receives data of the monitoring unit, calculates a risk grade based on a pancreatic fistula risk grading early warning algorithm and gives an alarm through the early warning unit; the nursing method comprises the steps of preoperative evaluation, device deployment, real-time monitoring and graded intervention. The pancreatic fistula early warning system solves the problem of pancreatic fistula early warning lag, reduces nursing subjectivity, reduces manual judgment errors, improves nursing efficiency and improves patient prognosis.

The invention belongs to the technical field of preschool education equipment, and discloses a children's toy drawing board for preschool education, which comprises a rectangular plate, and two groups of same adjusting mechanisms are respectively arranged on two sides of the rectangular plate; the adjusting mechanism comprises a rotating assembly and a lifting assembly, the rotating assembly comprises a T-shaped shaft fixedly installed on the outer wall of the side face of the rectangular plate, the outer wall of the T-shaped shaft is fixedly sleeved with a worm wheel, a lifting column is rotatably installed on the outer wall of the T-shaped shaft, and switching of the classification board and the drawing board is achieved by rotating a first rotary knob; flexible and changeable game modes are provided for children, and the children can concentrate on color recognition and classification in classified games; and in the drawing game, creativity can be exerted, and colorful patterns can be drawn in the circular grooves by using the circular blocks, so that not only is the interestingness of the game increased, but also the game requirements of children of different age groups are met, and the practicability and playability of the device are improved.

The utility model relates to the field of colorimetric cards, in particular to a standard colorimetric card for analyzing the content of short-chain fatty acid, which comprises a connecting block assembly, a plurality of colorimetric blocks movably connected to the connecting block assembly, a sliding assembly movably connected to the connecting block assembly and a colorimetric assembly connected to the sliding assembly, the colorimetric assembly comprises a mounting plate connected to the sliding assembly, a combined block connected to the mounting plate and a fixed rod connected to the combined block. According to the colorimetric card, the colorimetric mode of the colorimetric card is improved, the color developing test paper dipped with the solution and the corresponding colorimetric blocks are simultaneously placed in the comparison box and the placing box which form a darkroom for observation, and the color developing test paper and the colorimetric blocks are illuminated through the LED lamps connected to the interiors of the comparison box and the placing box; therefore, the phenomenon that the colorimetric result is inaccurate due to the fact that the environment light source affects color recognition is avoided, and the use convenience of the whole standard colorimetric card can be greatly improved.

A visual media is received. For example, the received visual media may be a digital image, a video file, or a video stream. A plurality of colors in the visual media are identified. In response to identifying the plurality of colors in the visual media, one or more colors not in the visual media are identified. A watermark is placed in the visual media to produce a watermarked visual media. The watermark comprises at least one of the identified colors not in the visual media. The watermarked visual media is verified using image processing.

The utility model provides an identification circuit and an electronic device, and the identification circuit comprises a light detection circuit which is used for receiving a light intensity signal corresponding to a light source signal and outputting a voltage signal corresponding to the light intensity signal; and one end of the color identification circuit is connected with the other end of the light detection circuit, and the color identification circuit is used for receiving the voltage signal and outputting a color identification result. According to the utility model, the color of the electronic equipment shell can be automatically detected, the color detection efficiency and quality of the electronic equipment shell are improved, and the cost is saved.

The utility model discloses a detection table for sulfur dioxide in astragalus membranaceus, and particularly relates to the technical field of detection of sulfur dioxide in astragalus membranaceus, which comprises a detection table, a storage cabinet fixedly connected to the bottom of the detection table, a first support plate fixedly connected to the top of the detection table, a first placement groove formed in the top of the detection table, and a material frame arranged in the middle of the first placement groove, a positioning groove and a second placing groove are formed in the top of the detection table. The first electric push rod is started to control the second supporting plate to move downwards, the multiple extraction pipes can be controlled to move downwards, synchronous water sample extraction of multiple raw materials is achieved, and synchronous input of sulfur dioxide color developing agents and synchronous vibration mixing can be achieved through cooperation of the synchronous driving mechanism, the vibration mechanism, the air extracting pump and the liquid pump. And the intelligent detection is realized through the color identification camera, and the brightness is kept consistent through the light bar, so that the judgment accuracy of the detection result is improved, and the use effect is improved.

This invention discloses a PUR adhesive mixing process for edge banding, comprising: edge banding adhesive preparation, intelligent PUR adhesive dispensing machine system setting, high-precision color recognition sensor calibration, system setting confirmation, multi-system collaborative action construction, implementation of adhesive mixing ratio control, and adhesive application and edge banding detection. This invention integrates an edge banding machine adhesive application unit, a color recognition module, and an intelligent PUR adhesive dispensing machine system to jointly achieve the PUR adhesive mixing processing effect. It solves the problem of traditional single-color adhesive dispensing machines only supporting single adhesive output, and particularly addresses the issue of controlling the color difference between the adhesive line and the color of the edge banding board, meeting the processing requirements of gray and khaki colors, overcoming the problem of color difference control in edge banding of different colored boards, and creatively utilizing color mixing and adhesive mixing technology, greatly enriching the selectivity of edge banding processes.

This invention proposes a traffic sign light-sensing algorithm, device, and system based on an improved HSV (High-Speed ​​Vector Characteristic). The light-sensing algorithm includes: using adaptive HSV threshold adjustment combining global brightness statistics and local block segmentation to generate a dynamic HSV threshold suitable for the current scene; and using this dynamic threshold to perform color segmentation on the image to obtain the target color region. Compared to the inherent HSV threshold, or solely global brightness statistics, or solely local block adaptive threshold correction, this overcomes the interference of different reflectivities and absorbances of objects in the environment, which cause interference in color recognition of different regions of the image under complex lighting conditions such as strong light, weak light, backlight, and local shadows. This significantly improves the robustness and accuracy of traffic sign recognition in dynamic, unstructured scenes.

This application discloses a method, apparatus, storage medium, device, and vehicle for recognizing traffic light colors, relating to the field of traffic technology. It addresses the problem of traffic safety issues arising from the inability to identify false detections when using machine learning-based traffic light recognition algorithms. The method includes: acquiring color recognition result pairs of target traffic lights based on traffic light images, where the target traffic lights include turn signals and straight-ahead lights; determining the intersection type of a target intersection by judging whether each color recognition result pair in a first time period is the same color; and, if a preset color recognition result pair exists among the color recognition result pairs acquired after determining the intersection type, identifying the preset color recognition result pair as a false detection result, where the preset color recognition result pair includes color pairs other than those corresponding to the intersection type.

The utility model provides a detection device, and relates to the technical field of batteries. The detection device comprises a diaphragm placement module and a color recognition module, the diaphragm placement module is provided with a bottom plate, the bottom plate is provided with a mounting end face, at least the mounting end face and a diaphragm on the bottom plate have color difference, and the diaphragm is flatly laid on the bottom plate and located in the mounting end face; the color recognition module is provided with a color recognition view field and used for obtaining colors in the color recognition view field, and the installation end face is located in the color recognition view field. The accuracy of capturing the edge or contour of the diaphragm can be improved, and the error of a measurement result is effectively reduced.

The invention provides a vehicle body color recognition method and device based on a deep learning model, and solves the problem of low vehicle body color recognition accuracy in the prior art. A deep learning network model is pre-trained and trained by successively constructing a data set for pre-training and a data set for training, and the similarity between a vehicle image uploaded by a user and each standard color block image in a standard color block image database is calculated through the trained deep learning network model. And according to the obtained similarity, the to-be-recognized vehicle body color recognition result is output, and the accuracy of vehicle body recognition is improved.

The application discloses a warehouse safety protection system and relates to the warehouse protection field.The warehouse safety protection system comprises a plurality of sensors for monitoring the state in the warehouse, indicator lights connected with the sensors for emitting light signals of corresponding colors according to the state detected by the sensors, a camera device arranged in the warehouse for collecting image data of the indicator lights and transmitting the image data to a remote terminal, and the remote terminal configured with a color recognition algorithm for receiving the image data transmitted by the camera device, recognizing the color of the indicator lights, judging whether the state corresponding to the color is an abnormal state, and emitting a corresponding alarm warning when the state is the abnormal state.The warehouse safety protection system based on color recognition realizes a comprehensive solution of low cost, low computing power, high efficiency, strong expansibility and real-time early warning.

The utility model provides an identification device based on chess and card data reading, and belongs to the technical field of card arranging machines. Comprising a recognition device used for reading chess and card data, a chess and card sensing area used for containing chess and cards to be recognized and a control module. The recognition device is arranged opposite to the detection face of a to-be-recognized chess and card, the output end of the recognition device is connected with the input end of the control module, and the recognition device conducts recognition based on the distance signal difference between the concave-convex structure of the chess and card character mark face and the plane structure of the chess and card back face. The identification device is a contact type identification device or a non-contact type identification device; the contact type recognition device is directly in physical contact with the chess and card to be recognized; the non-contact recognition device does not make physical contact with the chess and card to be recognized. The contact type recognition device is an inductive sensor, a capacitive sensor or a linear displacement sensor. The non-contact identification device is a laser range finder, an ultrasonic detector, a photoelectric sensor or a machine vision system. The technical problem that in the prior art, color recognition card face precision is poor is solved.