157 results about "Color detection" patented technology

The invention relates to the technical field of color detection, in particular to a color difference calculation optimization method and system for archaized linen viscose reactive dyeing. Comprising the following steps: monitoring a fabric motion state in real time, calculating a motion speed and displacement, and determining a spectrum acquisition opportunity and a position compensation parameter; illuminating the surface of the to-be-detected fabric at an acquisition position through a polarized light source, and performing polarized spectrum data acquisition in the normal direction of the surface of the fabric to obtain reflection spectrum information; exciting the surface of the to-be-detected fabric by adopting an ultraviolet light source, collecting fluorescence spectrum data, and identifying different fiber areas; calculating fiber density distribution in the fiber area, and constructing a layered weight system; calculating chromatic aberration of the fiber area based on the reflection spectrum information, extracting chromatic aberration characteristics, and measuring and calculating an antique degree quantification result; setting a color difference threshold value standard according to an antique degree quantification result, and adjusting a color difference threshold value according to an evolution trend; and based on the layered weight system and the chromatic aberration threshold, performing weighted calculation on the chromatic aberration value of the fiber region to obtain a comprehensive chromatic aberration evaluation result.

Disclosed is a surveillance camera capable of detecting a color of a vehicle using vehicle logo detection. This specification describes a method that, instead of processing an entire image of a vehicle, detects the vehicle's logo and expands a bounding box of the detected logo to analyze a dominant color within the expanded bounding box for higher accuracy. During a dominant color analysis process, color correction may be performed based on metadata, environmental factors, and a lighting condition. In addition, more accurate vehicle color detection may be achieved through color distance measurement. According to this specification, at least one of a surveillance camera, an autonomous vehicle, a user terminal, and a server may be associated with an Artificial Intelligence (AI) module, a robot, an Augmented Reality (AR) device, a Virtual Reality (VR) device, and a 5G service.

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.

The invention relates to an intelligent color box printing color analysis control method, and provides a reinforcement learning decision closed-loop control method integrating distributed color detection, space-time multi-modal data processing, feature extraction and self-supervised clustering and multi-scale reward modeling. Multi-variable normalization and synchronization are completed through multi-point real-time collection of color, process and environment data, color change meta-state features are extracted based on a self-encoding neural network, and a meta-state distribution model related to space and working conditions is established through self-supervised clustering. And the color risk is evaluated in combination with a multi-scale reward function, so that color parameter optimal adaptive adjustment and cooperative control driven by reinforcement learning are realized. In an actual control link, the system can dynamically optimize a meta-state aggregation and strategy network structure based on a feedback signal, a stable and self-adaptive color consistency closed-loop control system is constructed, and the color consistency and process intelligence level of a printed product under a complex working condition are effectively improved.

The invention discloses a traffic light state detection method, apparatus and device, and a computer program product. The traffic light state detection method comprises the steps of obtaining an image of a traffic scene at a current moment; traffic light detection is carried out on the image of the traffic scene at the current moment, a traffic light detection result at the current moment is obtained, and the traffic light detection result at the current moment comprises an initial traffic light color detection result at the current moment; and determining an actual traffic light state at the current moment by using a predefined finite state machine and a preset smoothing mechanism according to the initial traffic light color detection result at the current moment. According to the traffic light state detection method provided by the embodiment of the invention, the traffic light state is identified by using the finite-state machine and the smoothing mechanism of the multi-frame data, which is different from a scheme which only depends on single-frame detection or a single decision model, so that the accuracy and robustness of traffic light state identification are remarkably improved; and identification challenges in a complex traffic environment can be effectively handled.

The invention relates to the technical field of hotpot condiment stir-frying, in particular to a caviar hotpot condiment preparation method and equipment thereof.The caviar hotpot condiment preparation method comprises a pot body, a condiment stirring mechanism, a heater, a refrigerator and a quality detection assembly, and the quality detection assembly comprises a supporting plate, a telescopic sampling pipe, a dilution bin and a full-automatic Lovibond colorimeter; a telescopic sampling pipe extends into the pot body, mixed grease of a base material is pumped into a dilution bin, then soybean oil is added into the dilution bin for ten-time dilution, the diluted mixed grease is pumped into a full-automatic Lovibond colorimeter for color detection, and if the color value of Lovibond is within the range of 7.0-8.5, it is indicated that the color is qualified; therefore, manual sampling is not needed, the hotpot condiment can be automatically diluted, the detection efficiency is remarkably improved, color and luster detection is performed through the full-automatic Lovibond colorimeter, the accuracy can be remarkably improved compared with visual inspection, and the color and luster quality of the hotpot condiment is guaranteed.

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 a fruit quality comprehensive detection method based on machine vision and X-rays. The fruit quality comprehensive detection method is used for performing graded detection on appearance, internal defects and sugar degree of fruits. The appearance detection comprises the steps of constructing a fruit surface defect feature matrix, a fruit shape feature matrix and a color feature matrix, and inputting the fruit surface defect feature matrix into a BPNN network to realize fruit surface defect detection; inputting the fruit shape feature matrix into another BPNN network to realize fruit shape detection; inputting the color feature matrix into an SVM model to realize color detection; the internal defect detection comprises the steps of constructing a plurality of different internal defect detection models, and fusing results of the internal defect detection models based on a multi-criterion decision to obtain an internal defect detection result; the sugar degree detection comprises the steps of extracting a pulp area based on X rays, extracting morphological characteristics and gray statistical characteristics, predicting the sugar degree by utilizing a sugar degree prediction model, and grading the sugar degree according to a sugar degree prediction value. The method can more comprehensively reflect the comprehensive quality of the fruits.

The invention provides a portrait picture processing method and apparatus, and an electronic device. The method comprises the steps of obtaining an uploaded portrait picture; performing clothing feature detection and clothing color detection on the portrait picture to determine a first clothing feature and a clothing color; performing feature matching from a preset clothing asset library according to the first clothing feature, and determining a target clothing asset; and according to the garment color, performing graded dyeing on the target garment assets to obtain virtual role garments. According to the method, the technical capabilities of game clothing asset retrieval and clothing asset grading dyeing can be introduced into an intelligent image creation function, and the problem that in an existing intelligent image creation function, a pinched virtual character image is different from an overall image of an uploaded portrait picture is solved.

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 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 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 relates to a chemical analysis instrument, and particularly discloses a colorimetric-potentiometric combined automatic titration device based on a single chip microcomputer and application of the colorimetric-potentiometric combined automatic titration device. The device comprises a control module, a potential detection module, a color detection module, a fluid driving module, a signal conversion module and a power supply module. The core of the device is that a single-chip microcomputer is taken as a control center, potential signals of a pH composite electrode and light intensity signals of an AS7341 sensor are synchronously acquired, a real-time dynamic linkage titration curve is generated through double data sources, visualization of potential and color mutation is realized, and faults of a single sensor are effectively identified. According to the device, the end point judgment reliability is improved through double-signal cross validation, complex sample analysis can be dealt with, double-dimensional data are synchronously obtained through single titration, the experiment efficiency is improved, hardware modular design is convenient to expand, and the device is suitable for chemical experiment teaching and scientific research scenes.

The utility model discloses a dangerous chemical liquid medium on -line color detection device, including the conveying pipeline, install the shunt pipe on the conveying pipeline, install the valve on the shunt pipe, the other end screw thread installation detection bottle of shunt pipe is provided with on -line detection mechanism on the conveying pipeline, and the on -line detection mechanism can be to dangerous chemical liquid medium on -line color detection, relate to liquid detection technical field: set up detection mechanism on the pipeline of dangerous chemical liquid medium conveying, need not to draw sample, directly to the dangerous chemical liquid medium on -line detection in the pipeline, not only reduce the detection time cost, still can reduce the harmfulness of detection process.

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 utility model relates to the technical field of paperboard printing, and particularly discloses a continuous printing color detection device which comprises a conveying device (10), a flattening device (20) arranged below the conveying device (10) and a detection device (30) installed on the flattening device (20). The detection device (30) is perpendicular to the paving device (20); the flattening device is adopted, the flattening device enables the printing paper passing through the straightener to be kept perpendicular to the detection device all the time through the tightening roller and the straightener, the detection precision is improved, certainly, in order to achieve detection continuity, the detection device detects the printing paper through the detector, and in the detection process, the flatness of the printing paper is improved. And once disqualified paper is found, a marker in the detection device is started to mark the paper so as to ensure continuous detection, and after the detection is completed, the disqualified paper is cut out.

The invention discloses a corrugated pipe surface defect detection method and equipment thereof, and a multi-feature multi-verification closed-loop judgment system is constructed through four core technologies of tracer gas color detection, ultrasonic detection, image form analysis and directional blowing verification. Aiming at the defects of cracks and pores, by combining the color characteristics of the tracer gas and the linear distribution analysis of continuous acquisition points, the accurate distinguishing of defect types is realized, and the problem of traditional detection pain points is solved; for bubble defects, through ultrasonic multi-feature and SVM model preliminary positioning, image shape feature verification and directional blowing deformation feature confirmation, real bubbles and pseudo defects are thoroughly distinguished. Each link sets a threshold interval based on a large number of sample statistics, and the judgment reliability is guaranteed. Meanwhile, a corrugated pipe folding or unfolding state judgment mechanism is introduced, differentiated weights are configured in a targeted mode, the folding state is dominated by shape features to resist interference, the unfolding state is dominated by color and ultrasonic features to adapt to all working conditions, and the detection accuracy and applicability are improved.

The invention discloses a clothes color detection method and system, electronic equipment and a storage medium, and the method comprises the steps: collecting a first training data set, marking the first training data set, and obtaining a second training data set; constructing a weight table, and obtaining a color multi-classification model according to the weight table and the second training data set; and obtaining a to-be-detected clothes image, and obtaining a clothes color detection result through the color multi-classification model according to the to-be-detected clothes image. The color multi-classification model is trained by using the weight table, the stability and robustness of the model in the color recognition process can be improved, the problem of model training disorder caused by data labeling disorder is reduced, the accuracy of washing machine clothes color detection is improved, and the method can be widely applied to the technical field of artificial intelligence.

The application relates to the technical field of image processing, and discloses a vision-based defective part detection method and device; the method comprises the following steps: collecting a target image of a region of interest, the region of interest comprising a standard region where a to-be-detected part is located; detecting the target image based on a part detection model to determine whether the to-be-detected part is a defective part; wherein the part detection model comprises at least one of the following: a part absence detection model, a part deviation detection model and a part defect detection model; the part absence detection model is used for detecting whether the to-be-detected part is absent based on the color of the to-be-detected part; the part deviation detection model is used for detecting whether the to-be-detected part deviates based on part features of the to-be-detected part; and the part defect detection model is used for detecting whether the to-be-detected part has defects based on a deep learning model. The application can improve the detection efficiency, detection precision and detection time of defective parts.

The application discloses a dust-removing and color-detecting device, which comprises a machine body and a detection box, a control system is arranged in the machine body, a dust-removing mechanism and a color-detecting mechanism are arranged in the detection box, the control system is connected with the dust-removing mechanism and the color-detecting mechanism respectively, a visual detection assembly comprises an identification camera and a detection camera, and a light assembly comprises a plurality of lamps which emit different color lights respectively. The detection method of the dust-removing and color-detecting device, the control system controls the dust-removing mechanism to perform dust-removing treatment on a product to be detected, then controls the identification camera to identify the model of the product to be detected, thereby controlling corresponding lamps to emit light, and the detection camera performs color-difference detection on the product. The dust-removing and color-detecting device and the detection method thereof are suitable for color-difference detection requirements of different products by arranging lamps which emit different color lights, and automatic identification and light switching are realized by cooperation of the control system and the identification camera, so that complicated steps of manually replacing lamps are omitted, operation is simple and convenient, and detection efficiency is effectively improved.

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 PVB (polyvinyl butyral) film color mixing detection equipment which comprises a color detection platform, the upper surface of the color detection platform is provided with a film placing area, the bottom of the color detection platform is provided with a supporting column, the upper end of the color detection platform is connected with a threaded knob, and the outer side of the threaded knob is provided with a rubber fixing plate. An X-axis fixing plate is installed on the upper surface of the color detection platform, a Y-axis fixing plate is installed above the X-axis fixing plate, a Z-axis fixing plate is arranged at the top of the Y-axis fixing plate, a color difference detector is arranged on one side of the Z-axis fixing plate, a sliding connecting plate is arranged between the Y-axis fixing plate and the Z-axis fixing plate, one end of the X-axis fixing plate is connected with an X-axis motor, and the other end of the X-axis fixing plate is connected with a Y-axis motor. By arranging the threaded knob and the rubber fixing plate, the PVB film placed in the film placing area can be fixed, the PVB film is prevented from moving or misplacing during color detection, and the accuracy of color detection is further improved.

The present invention relates to the field of machine vision technology, and discloses a method and system for detecting carton surface coloration based on machine vision. The method comprises acquiring a carton surface image and performing color space conversion to obtain a carton hue image; performing superpixel segmentation on the carton hue image to obtain a superpixel hue image; performing feature extraction on the superpixel hue image to obtain an image feature vector; inputting the image feature vector into a pre-trained superpixel classification model to output a superpixel cluster center; performing curve fitting based on the superpixel cluster center and the image feature vector to obtain a hue fitting function; and performing defect judgment based on the hue fitting function and a preset deviation value threshold to obtain a coloration defect detection result. The method has the following effects: the method can improve the efficiency of detecting carton surface coloration defects.

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.

The present application relates to the technical field of semiconductor devices, in particular to a germanium-based multi-junction dual-color long-wave infrared detector and a preparation method thereof, which comprises a germanium substrate, an electrode injection region arranged on the surface of the germanium substrate, a plurality of barrier regions, a plurality of first single-color absorption regions and a plurality of second single-color absorption regions, a common electrode arranged on the electrode injection region, a plurality of first absorption region electrodes and a plurality of second absorption region electrodes, a passivation layer arranged on the plurality of barrier regions, the plurality of first single-color absorption regions and the plurality of second single-color absorption regions, the plurality of first single-color absorption regions and the plurality of barrier regions are located between the common electrode and the plurality of first absorption region electrodes and are periodically distributed, and the plurality of second single-color absorption regions and the plurality of barrier regions are located between the common electrode and the plurality of second absorption region electrodes and are periodically distributed. The present application can help to improve the detection rate and realize dual-color detection.