84 results about "Color detection" patented technology

The invention discloses an intelligent monitoring system for camellia oleifera processing based on artificial intelligence, and relates to the technical field of camellia oleifera fruit processing, and the system comprises a temperature monitoring module which comprises a multi-point temperature sensing array which is arranged along the axial direction of a presser and is installed at the front end, the middle part and an oil outlet of a barrel, the temperature sensor is used for collecting temperature and forming temperature distribution data in the barrel; the color detection module is arranged at an outlet of the oil outlet pipeline, obtains oil chromaticity parameters and a yellow-red ratio through spectral imaging, and extracts color feature data; and the volatile matter detection module is arranged above the discharged oil collection cavity and is used for detecting the concentration of volatile organic compounds through a gas sensing array and generating flavor characteristic data. By arranging the temperature monitoring module, the color detection module and the volatile matter detection module, real-time collection of multi-dimensional information in the squeezing process is achieved, and based on an asynchronous triggering and weighted fusion mechanism, space-time alignment and conjoint analysis are conducted, a joint feature vector is constructed, and a real-time prediction result is output.

The invention relates to the technical field of machine vision detection, and discloses a color printed matter quality detection method which comprises the following steps: acquiring original light field response data of the surface of a printed matter in a preset structure light field; carrying out decoupling calculation on the data to generate a basic color graph representing intrinsic colors, a glossiness graph representing process characteristics and a surface normal graph representing geometrical morphology; the method is characterized in that a texture area is identified based on a surface normal graph of a standard sample, and a dynamic reference model is established for the area in combination with a basic color graph so as to provide a self-adaptive color detection threshold value; and finally, detecting color, structure and process flaws in parallel by utilizing each physical characteristic spectrum and the dynamic reference model. According to the method, through decoupling and information guidance of physical dimensions, interference of physical textures on color detection can be fundamentally inhibited, the false alarm rate is remarkably reduced, meanwhile, multi-dimensional comprehensive evaluation of flaws is achieved, and the detection result is objective and reliable.

The embodiment of the invention provides a dust display system and method based on polychromatic light and autonomous cleaning equipment, and belongs to the field of intelligent cleaning equipment. The system comprises a multi-color detection light emitter which is configured to project at least two detection light beams with different wavelengths to a to-be-cleaned ground area in front of or laterally in front of the autonomous cleaning equipment; the light receiver is configured to receive a light signal from the ground area to be cleaned and generate corresponding image data; the control module is electrically connected with the multi-color detection light emitter and the light receiver, and is configured to control the multi-color detection light emitter to switch and emit detection light beams with different wavelengths in a time-sharing mode; and on the basis of multiple groups of image data acquired by the light receiver under the irradiation of the detection light beams with different wavelengths, smudginess identification is performed, and a cleaning strategy control signal is output. The ground background and real dirt can be effectively distinguished, and the false alarm rate is greatly reduced; and meanwhile, the identification capability of smudginess colors and properties is improved, and the method is suitable for diversified family smudginess scenes.

A system and method is presented for hands-free operation of elevator using a smart phone or like device to display one or more colours that are read by a colour-detection device mounted in an elevator cabin and at each elevator landing. Different colours can be displayed by the smart phone or like device and detected by the colour-detection device where different can represent different commands to operate the elevator.

The invention discloses an intelligent laser system with an energy-saving function. The intelligent laser system comprises a color detection device, a height measurement device, a laser generation device, a temperature detection device, a conveying device and a controller. According to the device, edge sealing belts with different colors can be detected through the color detection device, edge sealing belts with different heights are measured through the measuring device, and meanwhile, the controller controls the output power of the laser generating device and the size of light spots in real time according to the conveying speed of the conveying device; when the laser generating device outputs laser to process the edge sealing band, the controller detects the temperature of the laser irradiation area through the temperature detection device and adjusts the output power and the light spot size of the laser generating device to form closed-loop control, so that the edge sealing bands with different colors and heights can be processed by proper output power and light spots, and the processing efficiency of the edge sealing band is improved. And a proper processing temperature is achieved, so that higher processing quality is obtained.

The invention discloses a tooth detection method and device, and relates to the technical field of artificial intelligence and medical health. A specific embodiment of the method comprises the following steps: recognizing face key points according to an obtained to-be-detected image; in response to the fact that the identification result does not meet the preset detection condition, recursively extracting mouth features from the to-be-detected image, and determining a mouth region based on the mouth features; and identifying a tooth area from the mouth area, and performing color detection processing on the tooth area to generate a tooth detection result. According to the embodiment, double mechanisms of face key point detection and the feature classifier are fused, face key point recognition is preferentially carried out, and when the main detection fails, the feature classifier is switched to carry out standby detection, so that the tooth detection efficiency and the accuracy of a detection result are improved, and the user experience is improved.

To prevent deterioration in measurement accuracy due to the influence of stray light in a technique for inspecting an image recorded on a print medium by using an imaging part and a colorimetric part.SOLUTION: In the image inspection apparatus and the printing apparatus according to the aspects of the invention, the printing medium is supported by being stretched between the first roller and the second roller. An imaging unit that images an imaging region by causing illumination light to be incident on a portion of the printing medium wound around the first roller and receiving reflected light from the imaging region on which the illumination light is incident, a colorimetry unit that performs color detection of a color detection region by causing the illumination light to be incident on a portion of the printing medium wound around the second roller and receiving light reflected from the color detection region on which the illumination light is incident and incident on a light receiver, and a light shielding unit that is disposed between the imaging unit and the light receiver on a first main surface side of the printing medium stretched between the first roller and the second roller and shields light from the imaging unit toward the light receiver.SELECTED DRAWING: Figure 7

The application discloses a kind of LED light-emitting diode light color detection analysis method and system, it is related to LED detection technical field, including: light color acquisition module, for obtaining the spectral data generated in the lighting process of target LED;Timing modeling module, for in the continuous preset time period after target LED starts to emit light, multiple spectral data points are collected at fixed time intervals, main wavelength, color coordinates and fitting color temperature value are calculated to obtain, form multiple time light color parameter sequence, and construct time series model based on the sequence, output time series model and corresponding original parameter sequence.The application realizes the automatic judgment of the stable state of LED light emission by constructing the change curve of light intensity and color coordinates and introducing convergence trend analysis mechanism, effectively avoids the false determination caused by early data instability, and improves the representativeness and accuracy of detection data.

The invention discloses a super-resolution image processing method, a super-resolution image processing system and a medium. The image processing method comprises the following steps: installing two reflectors; controlling the two reflectors to rotate so as to respectively realize pixel displacement, thereby obtaining two parts of color image data; wherein all pixel centers of the two parts of color image data are staggered by a half pixel size along the horizontal direction and the vertical direction; sub-pixel areas are divided, any pixel data of one piece of color image data and four adjacent pixel data in the other piece of color image data are extracted, and pixel data of the sub-pixel areas are obtained through calculation. By introducing the light splitting technology and combining with the reflector, the original imaging light can be equally divided to the two image sensors, so that the color detection precision of image information can be ensured, super-resolution image data can be obtained, the method can be suitable for detection scenes with higher requirements, and the detection efficiency is improved. And high-precision and high-frame-rate super-resolution detection requirements are met while the reliability is met.

The embodiment of the utility model provides a photoelectric sensor, and the photoelectric sensor comprises a light projection substrate which carries a light projection element, and the light projection element projects a white light (RGB)-near infrared light (NIR) wide spectrum light beam; the projection achromatic lens is made of optical plastic, has a double-gluing structure and can converge white light (RGB)-near infrared light (NIR) wide-spectrum light beams projected by the projection element; and a light receiving substrate on which a light sensing element is mounted, the light sensing element acquiring the white light (RGB)-near infrared light (NIR) wide spectrum light beam reflected by an object and converting the wide spectrum light beam into an electric signal. Therefore, the color detection accuracy can be improved, the assembly is convenient, and the cost is saved.

The utility model discloses a low-voltage cable insulation test protection warning device, which is characterized in that a non-clamping end of a clamp is connected with a warning device through a short-circuit wire, and the short-circuit wire is slidably sleeved with a clamp insulation sleeve used for wrapping the clamp; the four warning devices are used for detecting four phase colors; each warning device is provided with a warning lamp and a dial switch, and an A-phase sensor, a B-phase sensor, a C-phase sensor and a D-phase sensor are arranged at the wire access end of each warning device at a time. One end of the warning device away from the short-circuit wire is connected with a grounding clamp through a ground wire; the device is convenient to insulate and shield, can effectively isolate a test cable from other electrified parts, guarantees the safety of a test process, has a detection function, can monitor whether the low-voltage cable is electrified or not in real time, is provided with a dial switch, enables inter-phase short circuit and ground discharge operation to be more convenient, simplifies the operation process, and improves the test efficiency. And the test efficiency is improved.

This invention discloses a method and system for color detection of textile products based on light-emitting diodes (LEDs), belonging to the field of optical inspection. The method includes: establishing a texture feature library, selecting standard samples of plain weave, twill weave, satin weave, and knitted structures, extracting texture features, and using support vector machines for classification modeling; extracting texture features of the textile to be tested and identifying its fabric structure type; establishing an adaptive light source compensation model, using texture features as independent variables for each fabric type, and employing ridge regression algorithm to establish independent compensation models for red, green, and blue channels; matching and calculating compensation parameters, selecting to call preset compensation parameters or dynamically calculating the three-channel compensation coefficients through the compensation model based on a comparison of the Euclidean distance between the texture feature vector and the standard template with a preset threshold; performing RGB three-channel compensation correction, and outputting the final color detection result. This invention improves the accuracy and consistency of color detection for textile products.

Embodiments of the present application provide a battery piece color grading method and device, electronic equipment and computer readable storage medium, relating to the field of new energy technology, the method comprises: obtaining the hue parameter, saturation parameter and brightness parameter of the battery piece to be detected in the HSV color space; determining the first color level of the battery piece to be detected according to the hue parameter, saturation parameter and brightness parameter of the middle region of the battery piece to be detected; determining the second color level of the battery piece to be detected according to the target color parameter of the edge region and the middle region; wherein the target color parameter is one of the hue parameter, saturation parameter and brightness parameter; obtaining the optical path parameter of the center region of the battery piece to be detected, and determining the third color level of the battery piece to be detected; determining the final color level of the battery piece to be detected based on the first color level, the second color level and the third color level. Embodiments of the present application improve the accuracy of battery piece color detection.

The utility model provides a GDX2 unit paperboard fixed cutting color code position detection device which comprises a color code sensor optical fiber bottom fixing support, an optical fiber distance adjusting support and a color code sensor fixing support. The optical fiber bottom fixing support is installed below an X2 fifth-round paperboard conveying mold box, fixedly connected with an original exhaust hole of a machine and used for fixing the color code sensor to form a stable supporting frame of the detection device, and the position of the color code sensor is adjusted through the optical fiber distance adjusting support so as to adapt to paperboards of different sizes and shapes. The color code sensor detects the position of the card paper by identifying the color of the position judgment line on the card paper and transmits the detection result to the industrial personal computer, when the color code sensor detects the unqualified card paper, the audible and visual alarm is started to give an alarm, and meanwhile, the industrial personal computer controls the rejection station to reject the unqualified products, so that the production efficiency and the product quality are improved, and the production cost is reduced. The rejection rate is reduced.

This invention discloses a method for detecting the adhesive color of Mini-LED beads, comprising the following steps: S1: Under fixed ambient light conditions, acquiring a first image of the Mini-LED bead to be tested after surface magnification before reflow treatment, and a second image of the Mini-LED bead to be tested after surface magnification after reflow treatment; S2: Restoring the Mini-LED bead to be tested from the first and second images; S3: Performing color analysis on the restored first and second images to obtain the first chromaticity value of the Mini-LED bead before reflow treatment and the second chromaticity value after reflow treatment; S4: Calculating the difference between the first and second chromaticity values ​​to determine whether the surface adhesive color of the Mini-LED bead is qualified based on the difference. This method for detecting the adhesive color of Mini-LED beads can automatically identify the surface adhesive color at the Mini-LED bead level and screen Mini-LED beads from the source, thereby improving the display effect of subsequent displays.

The invention discloses a textile formaldehyde and pH value integrated detection device, which comprises a detection seat, one side of the detection seat is provided with a sample inlet, the sample inlet is telescopically provided with a sample rack, the sample rack is provided with a plurality of groups of sample grooves in an array manner, the sample grooves are provided with sample boxes, and the detection seat is also provided with a controller on one side of the sample rack. A plurality of groups of detection chips are further arranged on the inner side of the interior of the detection seat, a plurality of groups of formaldehyde detection channels and pH detection channels are arranged on each group of detection chips in an array manner, a photoelectric detection light source is correspondingly arranged below the detection chip in each group of detection seat, a controller is arranged in the detection seat, and a three-axis moving mechanism is arranged on the detection chips and the sample frame. A sample adding gun, a color detection mechanism and a photoelectric detection mechanism are arranged on the three-axis moving mechanism. The device has the advantages that formaldehyde and pH of the textile can be automatically detected, operation is conducted in a closed space, and the detection result is more accurate.

The application relates to a traffic indication lamp recognition method, device and equipment, a storage medium and a program product. The method comprises the following steps: detecting an indication lamp region in a to-be-detected image of a target traffic scene according to the to-be-detected image, obtaining an indication lamp region detection frame, performing color extraction on the to-be-detected image, obtaining an indication lamp color detection frame, determining an indication lamp target detection frame according to the indication lamp region detection frame and the indication lamp color detection frame, and performing identification processing on the indication lamp target detection frame to obtain an indication lamp recognition result in the target traffic scene. In the method, the indication lamp region detection frame and the indication lamp color detection frame in the to-be-detected image are analyzed in two dimensions, the misrecognition or missed detection of the indication lamp by a target detection method and a color extraction method is avoided, and therefore, the accuracy of the indication lamp recognition result in the target traffic scene is ensured.

The present application relates to the technical field of color detection, in particular to a kind of antique flax stick active dyeing color difference calculation optimization method and system.The present application includes real-time monitoring fabric motion state, calculating motion speed and displacement, determining the timing and position compensation parameters of spectrum acquisition;Through polarized light source, the surface of the fabric to be measured is illuminated at the acquisition position, and polarized spectral data is collected in the normal direction of the fabric surface to obtain reflectance spectral information;Ultraviolet light source is used to excite the surface of the fabric to be measured, and fluorescence spectral data is collected to identify different fiber regions;The fiber density distribution in the fiber region is calculated, and a layered weight system is constructed;Based on the reflectance spectral information, the color difference of the fiber region is calculated, the color difference characteristics are extracted, and the antique quantification result is measured;According to the antique quantification result, set the color difference threshold standard, and adjust the color difference threshold according to the evolution trend;Based on the layered weight system and the color difference threshold, the color difference value of the fiber region is weighted calculated, and the comprehensive color difference evaluation result is obtained.

The application discloses a signal lamp detection method, system and device based on network flow multi-target tracking, and belongs to the field of image and video processing. First, the detection results of a YOLOv7 target detection neural network are divided into auxiliary signal lamp detection results and direction indicating signal lamp detection results, a minimum cost flow network flow graph is constructed for the auxiliary signal lamp target detection results, a plurality of auxiliary signal lamp trajectories are obtained by solving, then the shape categories of the auxiliary signal lamps in each auxiliary signal lamp trajectory are determined according to the direction indicating signal lamp detection results, and the color categories of the direction indicating signal lamps in the auxiliary signal lamps are detected by using a color detection classification network. Statistics and image color features are used to supplement detection and classification of the direction indicating signal lamps. The application can improve the detection accuracy of signal lamps by using the signal lamp detection results of a video, multi-target tracking and supplementary detection.

The utility model relates to detection device technical field, concretely relates to a kind of detection device of fast metering urine specific gravity, turbidity and color, including installation component, middle pass prism, specific gravity detection unit, turbidity color detection unit, color detection unit and temperature detection unit;Specific gravity detection unit emits light from middle pass prism side into total reflection, receives and collects data, through the fitting function that has been established, output specific gravity value, turbidity color detection unit emits light and transmits sample, receives and passes through sample scattered light data, obtains turbidity transmission data and color transmission data, combines fitting function, outputs turbidity value, color detection unit emits light and transmits sample, receives and passes through sample reflected light data, obtains color reflection data, and color transmission data combine fitting function, output color value, the detection device uses less sample detection, integrates urine specific gravity, turbidity and the detection of color, degree of automation is high, improve the accuracy of detection.

This invention discloses a color detection device and method for preparing colored nylon masterbatch, relating to the technical field of detection devices for nylon masterbatch preparation. To address the problem that existing color detection devices can limit the rotation angle of the support plate, thereby achieving the locking of the pressing head onto the object to be tested and ensuring the stability of the object's contact, thus guaranteeing the detection accuracy, the barium sulfate on the inner wall of the integrating sphere will turn pale yellow after prolonged use, affecting the measurement results. This necessitates replacing the integrating sphere to maintain accuracy, resulting in high maintenance costs. The color detection device body has an integrating sphere installed inside the upper side of one side. A coating spraying mechanism is installed inside the integrating sphere. A diameter plate clamping mechanism is installed at the outer end of one side of the color detection device body. A positioning ball is located at the center of the coating spraying mechanism.

The invention discloses a color detection system, method and device, electronic equipment and a storage medium, and relates to the technical field of color detection.The color detection system comprises a sampling module, a compensation module and a space conversion module, the sampling module is used for sampling a detected color to obtain first data; the compensation module is connected with the sampling module, and the compensation module is used for performing compensation operation on the first data to obtain second data; the space conversion module comprises a preprocessing unit, a search unit and a calculation unit, the compensation module is sequentially connected with the preprocessing unit, the search unit and the calculation unit, and the preprocessing unit is used for preprocessing the second data to obtain third data; according to the method, the searching unit is arranged, the third data is used as the index data, the variable parameters of the pre-calculated number in the searching unit are indexed, and the target parameters are directly substituted and calculated, so that the variable data in the target parameters do not need to be calculated in real time, and the consumption of calculation resources is reduced.

The invention relates to a method for colorimetrically identifying thiophanate-methyl based on copper-doped carbon quantum dots, which comprises the following steps: step 1, mixing and dissolving raw materials and carrying out hydrothermal reaction to obtain a copper ion-doped carbon quantum dot crude product; step 2, based on the copper ion doped carbon quantum dot crude product obtained in the step 1, performing dialysis purification, concentration preparation and characterization to obtain a 0.5 mg / mL copper doped carbon quantum dot solution meeting requirements; and step 3, based on the 0.5 mg / mL copper-doped carbon quantum dot solution prepared in the step 1 and the step 2, through mixed reaction, spectrum and color detection and interference verification, identification and stability verification of thiophanate-methyl are realized. The method has the beneficial effects that the operation is simple and rapid, the cost is low, the thiophanate-methyl can be visually identified and analyzed on site in real time, and the used copper-doped carbon quantum dot material has better high-concentration salt resistance than a nano gold colloid solution.

A printer capable of recognizing features and atmosphere of an image to be printed and recognizing progress of printing. The printer of the present application includes an image acquisition section (80A) that acquires an image to be printed from an external device (100), a representative color detection section (80D) that divides the image to be printed into a plurality of regions in a vertical direction of the image and detects representative colors of the regions, a light emission section capable of switching a light emission color, and a light emission control section (80E) that controls light emission of the light emission section, the light emission control section (80E) causing the representative colors of the regions detected by the representative color detection section (80D) to be sequentially switched and emitted according to progress of printing in the case of performing printing.

A crosswalk traffic signal survival evaluation device is provided that evaluates whether or not existing pedestrian signal lights will survive. [Solution] The pedestrian crossing traffic signal continuity evaluation device 1 is installed near an existing pedestrian crossing traffic signal on a road, and is composed of a lighting color detection unit that detects the lighting color of pedestrian signal lamps, a pedestrian detection unit that detects pedestrians crossing the pedestrian crossing H, and a processing unit that is connected to the lighting color detection unit and the pedestrian detection unit and evaluates the continuity of the pedestrian crossing traffic signal. The processing unit counts a first number A of pedestrians crossing the pedestrian crossing who complied with the lighting color and a second number B of pedestrians who ignored the lighting color, and calculates a ratio P of the second number B to the total of the first and second numbers A and B. The continuity of the pedestrian crossing traffic signal is evaluated depending on whether this ratio P is equal to or greater than a threshold.

According to the color detection and analysis method in the high-speed printing process, advanced hardware architecture and algorithm are adopted, delay between links is reduced to the maximum extent, and it is ensured that spectrum detection on the surface of a material in the high-speed production process can be completed within extremely short time. The clustering algorithm is adopted to process mass spectral data, spectral information of different areas of a complex surface is quickly classified and analyzed, so that quick and fine changes of color information of different areas of the material surface in the high-speed production process are accurately captured, the color quality deviation problem is found in time, and the production efficiency is improved. And an accurate basis is provided for timely adjustment of a production process, so that the stability of product color quality is guaranteed.

An automatic inking device ink fountain color detection and error correction system includes: a can decorator including a plurality of inking stations, each inking station including an inking device ink fountain; a plurality of color sensors, each color sensor disposed near a respective inking device ink fountain and configured to detect an ink color of ink placed in the inking device ink fountain; a vision sensor disposed at an output of the can decorator and configured to capture an image of the printed can; and an automatic inking device ink fountain color detection and error correction device communicatively coupled to the plurality of color sensors, the vision sensor, and the inking station, and a controller configured to receive the ink color information from the color sensor and the captured image from the vision sensor, determine that an inking device ink fountain color error has occurred based on the captured image, and correct the inking device ink fountain color error based at least in part on the ink color information.

The utility model discloses a non-discoloring pigment detection device, which relates to the technical field of pigment detection and comprises a base and a multispectral non-contact color detector, the multispectral non-contact color detector is mounted at the top end of the base, and a display screen is arranged on the front side of the multispectral non-contact color detector. A detection groove is formed in the top end of the multispectral non-contact color detector. According to the multispectral non-contact color detector, the structure is adopted, air circulation in the multispectral non-contact color detector is facilitated due to the arrangement of the ventilation openings, so that a relative heat dissipation effect is achieved, the first dustproof plate and the second dustproof plate can effectively block dust or pollutants in the air while air circulation is not hindered, and the detection efficiency is improved. And meanwhile, circulating air can enter the ventilation opening in a bending manner, so that dust and pollutants in the air can be well filtered for the second time by the filter plate, and a good dustproof and heat dissipation effect can be achieved.