146 results about "Color recognition" patented technology

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 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.

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.

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.

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 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.

This invention discloses an intelligent recovery system for mother and daughter ships and its recovery method. The intelligent recovery system includes a mother ship and at least one daughter ship. The mother ship includes a hull, a hull frame, and a hull body. The hull includes left and right hollow floating materials. The hull frame connects the hull and the hull body. The hull body is a rectangular waterproof hull. The inner sides of the left and right hollow floating materials and the lower part of the rectangular waterproof hull body form a receiving space for recovering the daughter ship. The daughter ship's hull is set to a first color. The mother ship captures an image from directly in front of it using a camera, identifies the daughter ship based on a color recognition algorithm and the first color, determines the azimuth angle of the daughter ship relative to the mother ship, and then combines this with the distance between the mother and daughter ships to obtain the Cartesian coordinates of the daughter ship relative to the mother ship. Based on the mother ship's attitude angle and the daughter ship's Cartesian coordinates relative to the mother ship, the mother ship controls the PWM of a brushless motor to adjust the speed, achieving a dual-loop control of position and angle, thereby controlling the mother ship to move towards the daughter ship to complete the recovery operation. This invention can efficiently complete the recovery task.

This invention relates to a urine test strip color recognition detection method based on image analysis, comprising the following steps: Step 1, acquiring a color image; Step 2, detecting black calibration blocks at the four corners; Step 3, geometric correction of the test strip area based on four-point perspective transformation; Step 4, adaptive extraction of the effective area of ​​the test strip; Step 5, precise segmentation of color blocks; Step 6, correction of uneven illumination and color standardization; Step 7, multidimensional similarity calculation based on weighted Lab color space; Step 8, outputting the detection results and marking abnormalities. The beneficial effects of this invention are: the positioning accuracy remains ≥99.8% even in complex scenarios, far exceeding existing template matching and QR code solutions; it is completely unaffected by test strip deformation or printing offset; the CV value of the same urine sample repeated under different mobile phones and different lighting conditions is <3%; it successfully solves the problems of batch-to-batch color difference and test strip aging, with a clinical concordance rate ≥98%; the entire algorithm has a small computational load, fully meeting the needs of real-time detection.

The utility model discloses a color sorting equipment for dogwood relates to agricultural product processing technical field, and its technical key points include transportation frame, the transportation frame outside bottom fixed mounting has the support frame, the transportation frame inside rotation is installed with two transportation rollers, the transportation frame outer wall fixed mounting has the motor with one of the transportation roller rotation axis connection, two the transportation roller outer wall all fixed mounting has a plurality of antiskid bosses, the utility model discloses a set of components such as transportation belt, rotating disc and gear are set up, and the transportation groove on the transportation belt surface can accurately limit dogwood, solve its small body easy to accumulate, the problem of rolling, guarantee the stable passage of the fruit alone color selection area, create good conditions for color identification, improve color selection accuracy greatly, and the rotating disc rotates synchronously with the transportation roller under the gear transmission, and the adjacent blanking groove and the transportation groove spacing is consistent, makes dogwood even orderly fall into, avoids the uneven interference of feeding, and the color selection efficiency is improved significantly.

The utility model relates to an infant enlightenment plush toy which comprises a plush body and a grabbing rod, a grabbing groove is formed in the middle of the plush body, the upper end and the lower end of the grabbing rod extend into the plush body, the grabbing rod is arranged in the middle of the grabbing groove, the grabbing rod is transparent, a spiral channel is arranged in the grabbing rod, and color balls are loaded in the spiral channel. The top of the plush body is integrally connected with a rope ring, the rope ring is provided with a hanging ring used for hanging the plush body, and the bottom of the plush body is integrally connected with a toy mirror. According to the infant enlightenment plush toy, grabbing training can be conducted on an infant, even if the infant enlightenment plush toy falls onto the body of the infant, the infant cannot be hurt, and the use safety of the infant enlightenment plush toy is effectively improved. The color ball can make a sound in the process of moving in the spiral channel, so that auditory follow-up listening training is realized. The grabbing rod is transparent, so that the infant can see the moving process of the color ball, color recognition of the infant is facilitated, and visual training is achieved.

This invention discloses a method and system for sorting aluminum waste, relating to the field of renewable resource recycling. The method includes: crushing to 5-10cm blocks; shredding to 1-3cm particles; flotation separation using bubbles to float aluminum alloys; magnetic separation to remove ferromagnetic impurities; optical separation based on color identification to separate non-ferrous metals such as copper and zinc; gravity separation using a shaking table to separate heavy impurities; and refining to remove the surface oxide layer. For waste from thermal power plants, fly ash is removed before crushing by screening with an 80-120 mesh screen. This invention also discloses a system for executing this method, comprising a crusher, shredder, flotation machine, magnetic separator, color sorter, shaking table, and polishing machine connected in sequence, and equipped with a closed-loop control unit. This invention, through a seven-stage collaborative sorting process and intelligent feedback adjustment, significantly improves the sorting accuracy and product purity of aluminum waste, and is particularly suitable for aluminum-containing waste from thermal power plants with complex compositions, achieving a high aluminum alloy recovery rate.

This invention provides a method, apparatus, device, and storage medium for determining an input image, comprising: acquiring an original input image corresponding to a target lighting scene and pre-stored positions of each lighting group in the original input image; cropping the corresponding region of each lighting group from the original input image according to the pre-stored position of each lighting group to obtain a region image corresponding to each lighting group; acquiring a preset texture parameter set corresponding to the target lighting scene; the preset texture parameter set includes preset texture parameters corresponding to each lighting group, and the preset texture parameter set is determined in advance by traversing and calculating textures for multiple lighting groups in the target lighting scene using various different texture parameter sets; and applying the region image of each lighting group to a canvas according to the preset texture parameters corresponding to each lighting group in the preset texture parameter set to obtain the target input image. Using the technical solution of this invention can improve the segmentation performance of the segmentation algorithm and accurately achieve color recognition and color restoration.

The invention relates to the technical field of chemical component detection, and particularly discloses fluorescent test paper, a fluorescence analysis method and a fluorescence analysis device for visual online detection of soil nitrate nitrogen. According to the test paper, nitrate nitrogen is reduced into nitrite nitrogen by adopting zinc powder and a cadmium chloride solution, and then the nitrite nitrogen is dropwise added to fluorescent test paper prepared by soaking a mixed solution of para aminobenzoic acid, N-phenyl-1-naphthylamine and hydrochloric acid; under an acidic condition, nitrite nitrogen and para aminobenzoic acid generate diazonium salt, and then the diazonium salt reacts with N-phenyl-1-naphthylamine to form an azo compound, so that the original blue fluorescence on the test paper is gradually weakened along with the increase of the concentration of the nitrate nitrogen. According to the method, high-sensitivity and specific recognition of nitrate nitrogen is realized. And in combination with color identification and data analysis software of a smart phone, a portable and low-cost field detection system is constructed, and an efficient and practical new technical means is provided for visual quantitative detection of soil nitrate nitrogen.

The present application provides a test paper roll for automatically testing a water quality indicator. The test paper roll for automatically testing a water quality indicator comprises a base film; repeated-testing units are arranged on one side of the base film; each of the repeated-testing units comprises at least one test block, and the test block is fixedly connected to the base film; the repeated-testing units are covered with a surface cover film. The test paper roll for automatically testing a water quality indicator, in combination with a transmission device and color recognition technology, achieves fully automatic test paper-based periodic testing of water, thereby saving labor costs.

The application relates to a line-of-sight calibration, motion tracking and precision testing method based on adaptive time sequence analysis prediction, which specifically comprises the following steps: through image color recognition technology, color blocks and calibration point positions in a screen are recognized in a scene image, the actual size of the screen is combined, and the screen position is roughly positioned; distortion calibration is carried out based on the calibration point information, the screen position is precisely positioned, and the mapping relationship between the scene image and the precisely positioned screen is determined; eye control type nine-point calibration is carried out, the mapping model of the eyeball physical information and the gazing space position of the tester is determined, the screen gazing point coordinates are obtained in combination with the mapping relationship; line-of-sight positioning precision quantitative testing is carried out; through an adaptive time sequence analysis prediction algorithm, the current line-of-sight positioning is optimized and the future gazing point position is predicted in combination with historical line-of-sight information, meanwhile, the parameters in the time sequence analysis prediction algorithm are adaptively adjusted according to real-time precision or the intensity of shaking; through an eye state detection algorithm, the state of the human eye in the open and closed eye state is detected, and eye movement control is carried out.

To provide a uniform combination possibility determination device capable of checking whether two uniforms can be combined. [Solution] A color recognition index calculation unit 14 calculates a color recognition index, which is at least one of the contrast ratio and color difference as seen by a person with normal color vision, and a color recognition index as seen by a person with color weakness, for two uniform colors selected from the uniform colors registered in a uniform database 10. A determination unit 17 compares the color recognition indexes for people with normal color vision and those for people with color weakness calculated by the color recognition index calculation unit 14 with reference values, and determines the relationship in magnitude between the color recognition indexes for people with normal color vision and the reference values, and between the color recognition indexes for people with color weakness and the reference values. A display control unit 18 displays on a display unit 20 whether the two uniforms are suitable for people with normal color vision and whether the two uniforms are suitable for people with color weakness, according to the determination result by the determination unit 17.

The utility model relates to a contact lens mold material disc convenient to automatic identification control, including the shell, the shell is set up and placed the cavity in, the lower surface of placed cavity is installed with a plurality of LED lamp groups, the mould material disc is slidably installed in placed cavity, a plurality of material holes are seted up on the mould material disc, the material hole is correspondingly arranged with LED lamp group, the material quality of mould material disc and placed cavity is transparent material quality. Through setting up LED lamp group lets convenient detection provides light at the same time, can conveniently operate personnel through color identification lens's qualified rate.

A computer-implemented method of adjusting colour output from an electronic visual display. The method comprises: receiving an initial colour to be displayed by a pixel; identifying a shifted colour which reduces an objective function, wherein the colour distance between the shifted colour and initial colour lies within a predetermined range of values; and displaying the shifted colour via the pixel.

This invention provides a method, apparatus, device, and storage medium for identifying speed bumps. It utilizes a preset edge detection algorithm to perform edge detection on an original image to obtain a first image, wherein the original image includes information about the road ahead of the vehicle. It then performs color recognition on the original image based on a preset color, obtaining a second image, wherein the preset color is associated with the color of the speed bump. Based on the first and second images, it determines the speed bump identification result corresponding to the original image. By adopting the above technical solution, it achieves the beneficial effects of effectively improving the speed bump identification efficiency and reducing the probability of missed and false detections and the difficulty of application, while balancing time and economic costs.