91results about How to "Quick automatic identification" patented technology

The invention involves a calibration device for camera calibration, which consists of two vertical grid boards that have distribution grid and the number of signs marked with a unique code point. The invention also provides a method of the camera calibration, including the following steps: (a) Acquisition of images of the calibration device; (2) corresponding coordinates of the signs point to the coordinates of object point; (3) projection the plane grid to get the initial point coordinates of grid point; (4) the use of line extraction intersection to get the precise coordinates of points; (5) The use of 3-D direct linear transformation for the initial value of calibration parameters; (6) iterative solution with beam adjustment to get the camera's internal and external orientation elements. After shooting a picture of calibration device in the invention, the follow-up calibration process can be done automatically by computer. The advantage of the invention is automatic and quickness.

The invention provides an intelligent image identification method of a device nameplate and an energy efficiency label. The method is characterized in that the method includes the following steps that a character recognition feature library is built; photos of a target device nameplate or a target energy efficiency label are taken to obtain images; anti-shake noise reduction processing is connected on the images, and the unrelated pixels are removed; character features of the images are extracted, and character string information is output; according to the character string information, matching is conducted in the character recognition feature library, and the device specification type and all main technical parameters are recognized and output. After the method is implanted into a handheld terminal system, photos of the energy-consuming equipment or the nameplate and the energy efficiency label of the product are taken, the technical parameters of the equipment or the product are obtained through image recognition, automatic collection of the energy-consuming information is achieved, favorable conditions are provided for computerization audit of energy-consuming indexes and informatization storage of benchmarking, the energy-saving monitoring and energy-saving management efficiency and quality are improved, and the energy-saving monitoring level and energy-saving management level are increased.

The invention belongs to instrument identification, computer vision, software engineering and video image processing and relates to a special vehicle instrument automatic identification system and an algorithm based on computer vision, wherein video images can be obtained through a video camera, and special vehicle instruments can be automatically identified. The special vehicle instrument automatic identification system based on the computer vision is characterized in that the special vehicle instrument automatic identification system comprises an instrument video image collecting system, a data processing system and an instrument automatic identification detection system, wherein the instrument video image collecting system comprises a charge coupled device (CCD) digital camera, video images of special vehicle instrument trends can be obtained from the CCD digital camera in real time through bus, and the video images are transmitted to the data processing system, the data processing system is in charge of saving and screening video data, distinguishing resulting save and managing data relative tasks, and the video data is transmitted to the instrument automatic identification detection system by the data processing system. The instrument automatic identification detection system is capable of invoking an identification algorithm of special vehicle instrument images, and identified results are reported back to a data processing center.

The invention discloses an embedded non-invasive detection system of human body physiological information and a data processing method. The system comprises a detector housing and a detection circuit board and a detection groove which are installed inside the detector housing; infrared diode arrays are installed at two sides of the detection groove; an inclined bench is installed at the bottom of the detection groove; an inclined optical filter is installed above the inclined bench and the inclined optical filter is paralleled with an upper surface of the inclined bench; a cavity is installed between the inclined optical filter and the inclined bench, wherein the cavity is provided with an image acquisition module and an photoelectric volume pulse detection circuit therein; a connection position of the detection groove and an inclined bottom of the inclined optical filter is provided with a finger tip cavity which is provided with a finger switch therein. The system of the invention is convenient to use and is dustproof; human body information such as heart rate, blood oxygen and hemoglobin concentration can be continuously, noninvasively and in real time monitored; at the same time, vein images of users can be conveniently and quickly acquired so as to realize efficient and accurate noninvasive detection; the system and method of the invention can be widely applied in health check-up for hospitals.

The invention discloses a car body-in-white welding spot positioning method and device based on robot visual servo. The method comprises the steps that a partial car body image with body-in-white welding spots is collected and stored in a storage unit, and the image is read from the storage unit; the image is preprocessed; edge extraction is performed on the preprocessed image; the position coordinates and radius sizes of the car body-in-white welding spot or circular hole targets in the image are acquired by utilizing random Hough transformation; a target image is intercepted, feature extraction and classification recognition are performed on the target image, and a positioning coordinate is obtained and transmitted to a robot control system. According to the car body-in-white welding spot positioning method and device, quick and automatic recognizing and positioning of a car body-in-white welding spot quality detection robot on the body-in-white welding spots to be detected are achieved, the car body-in-white welding spot quality detection robot can be guided to accurately position the body-in-white welding spots, and the key technical problems are solved for achieving intelligent detection of the car body-in-white welding spot quality detection robot on the welding spot quality on a car industry manufacturing production line.

The invention provides a motion control method suitable for exoskeleton robots. By establishing a seven-link kinematics model, collecting exoskeleton-wearer system motion information based on a multi-sensor system, calculating the wearer's ground pressure center position, and designing an exoskeleton walking finite state machine, the wearer's walking motion intention and the state transitions in the walking finite state machine can be quickly, accurately and automatically recognized, effective and smooth motion assistance for paralyzed patients who have no perception and strength of the lowerlimbs is realized, the walking intention of the exoskeleton robot is automatically recognized and controlled, and the convenience and intelligence of using the exoskeleton robots are improved. At thesame time, by calculating the distance between the ankle joint of the front leg and the location of the crutches after the exoskeleton-wearer system moves forward with both crutches during the leg support period, the step length of the wearer under different walking conditions is determined, the exoskeleton joint motion reference trajectory is updated in real time, and real-time adjustment and control of the wearer's walking step length is realized.

The invention discloses an ultrasonic automatic detection system of copper and stainless steel dissimilar metal vacuum brazing water connector, a hardware of which consists of a water connector automatic detection system, a single crystal immersion focusing probe and a reference block; the detection device includes an industrial control machine, a motor driver and motors which are controlled by the industrial control machine and an ultrasonic flaw detection instrument which is respectively connected with the single crystal immersion focusing probe and the industrial control machine; the invention is characterized in that: one motor of the detection device drives a transmission shaft which is moved vertically, a probe angle adjuster is arranged on a shaft, the single crystal immersion focusing probe is arranged at the lower end of a probe angle adjuster, the other motor drives a horizontal rotating disk which is provided with the water connector to be detected, the position of the probe in a water connector cavity body can be regulated by the regulation of the probe angle adjuster, and the ultrasonic waves are transmitted for the detection of the brazing quality of the water connector. The invention has the advantages that the probe structure is compact, the detection system realizes the automatic control, the detection sensitivity is high, the operation is simple, and the invention can automatically identify the defect, calculate the area of defect and provide the spreading picture of the detection results of the water connector rapidly, accurately and intuitively.

The invention discloses a hazardous article three-dimensional image detection method and device, computer equipment and a storage medium, and the hazardous article three-dimensional image detection method comprises the steps: receiving a hazardous article detection instruction, and obtaining a to-be-detected three-dimensional image, wherein the to-be-detected three-dimensional image is a reconstructed three-dimensional image after the to-be-detected object is scanned by security inspection equipment; performing 3D image segmentation on the to-be-detected three-dimensional image to obtain a plurality of square images; scanning and standardizing the target areas of all the block images to obtain a target area image; extracting hazardous article features in the target area image through a hazardous article detection model, and generating a feature vector graph; and obtaining an identification result output by the hazardous article detection model in a classified manner according to a K-means clustering algorithm. According to the hazardous article three-dimensional image detection method, segmentation, scanning and standardization processing are carried out on the three-dimensional image, and then classification and identification are carried out according to the K-means clustering algorithm, so that hazardous articles can be identified accurately, rapidly and automatically, and the satisfaction degree of customers is improved.

The invention discloses a technological method for achieving soil water content classified identification through a geological radar technology. The technological method comprises the four parts of data preprocessing, soil water content parameter extraction, neural network classified identification and result display. Data preprocessing comprises the steps of null line correction, wavelet transformation and lowpass filtering. Soil water content parameter extraction comprises the steps that the power spectrum of reflection signals is solved with an autoregression moving average spectrum estimation method, data normalization is conducted, feature vectors and feature values of the power spectrum are extracted with a principle component analyzing method, and a sample feature vector database is constructed. Neural network classified identification comprises the steps that a neural network is trained through sample feature vectors, the trained mature network is used for conducting classified identification on data to be identified. Result display comprises the step that classified results are mapped and displayed. According to the technological method for achieving soil water content classified identification through the geological radar technology, automatic fast classified identification of the water content of soil is achieved, and a guiding function is performed on land detection and land rehabilitation.

In a method and apparatus to detect position changes of an implant x-ray detectable markers are arranged in the environment of the implant, and 2D x-ray exposures are obtained at temporal intervals of a region containing the implant in which a distribution of the markers as well as of marked points of the implant are visible in each 2D x-ray exposure. A first of the 2D x-ray exposures is obtained at a first point in time from one projection direction, and a second of the 2D x-ray exposures is obtained at a second point in time from another projection direction. The distribution of the markers and marked points is determined in the first and second 2D x-ray exposure by an evaluation device, and from the distributions a degree of probability is calculated that the distribution of the first 2D x-ray exposure and the distribution of the second 2D x-ray exposure are projections of the same three-dimensional distribution of markers and marked points. An automated detection of position changes by implants with reduced x-ray exposure for the patient is facilitated.

The invention aims at providing an image recognition device. According to the image recognition device, welding spots for welding silver wire on the surface of a silver foil in an acquired image are recognized. The acquired image comprises at least one first region corresponding to the silver foil and at least one second region corresponding to the silver wire. The image recognition device comprises a gray value?acquisition unit, a feature extraction unit and a welding spot determination unit, wherein the gray value?acquisition unit is used for acquiring the gray?value of each pixel in the first region and the second region; the feature extraction unit is used for acquiring the feature points of the first region according to the gray?value of each pixel in the first region; and the welding spot determination unit is used for seeking the welding spots in the second region according to the gray?value of each pixel in the second region. In comparison with the prior art, recognition is carried out according to the gray difference between the silver foil and the silver wire, the position of the silver wire is sought around mass points of the silver foil, the welding spots are finally determined, and the positions of the welding spots are then conveniently, quickly and automatically recognized.

The invention discloses a liquid crystal display device and a drive method of the liquid crystal display device. The drive method of the liquid crystal display device comprises the following steps that firstly, an image frame is extracted from a video; secondly, the image frame is directly divided into a left-eye image and a right-eye image according to a plurality of image arraying modes; color data of the left-eye image are compared with color data of the right-eye image, and the similarity of the left-eye image and the right-eye image is worked out in terms of the different image arraying modes through comparison results; thirdly, the image arraying mode, namely, the image arraying mode of the image frame, corresponding to the maximum similarity is selected and serves as the 3D film source format of the video to drive the liquid crystal display device. By means of the liquid crystal display device and the drive method, users can conveniently enjoy the 3D video effect.

The invention discloses an automatic checking method for protection pressing plates. According to the method, a mobile phone client obtains a constant-value unique identifier of a screen cabinet wherepressing plates are located, a row number and a column number of the pressing plates are obtained to generate a recognition frame for sampled images, a mobile phone camera is used for shooting and sampling the pressing plates, sampled images are uploaded to a cloud server, the cloud server carries out image recognition and a current pressing plate state is returned to the mobile phone client; themobile phone client automatically matches and checks the current pressing plate state with a pre-obtained terminal standard pressing plate state to judge the consistency therebetween; and an analysisreport is generated, and if the current pressing plate state is not matched with the terminal standard pressing plate state, marking and automatic alarm are carried out. The method is capable of solving the manual checking difficulty of pressing plates, rapidly and effectively checking states of the pressing plates, effectively shortening the pressing plate checking time of substation watchers, improving the pressing plate checking correctness and effectively improving the safety level of power grids at the same time.

The invention provides an attendance system with an automatic identification function. The attendance system comprises an image pickup monitoring module, an information acquisition and storage module,a communication module, an information comparison and processing module, a communication module, a mobile terminal and / or a PC terminal. The attendance system with the automatic identification function has the advantages that through the automatic identification of a plurality of cameras, portrait information collected by the cameras can be uploaded to a server side in time; the comparison with an employee information base is timely performed; the employee attendance and on-duty conditions are confirmed; the employee time and the attendance time can be saved; through the analytical processingof a server, the company attendance and on-duty conditions can be directly exported through APP; employee specially set for attendance are reduced; in addition, the operation is convenient; the company financial resource is reduced.

The invention relates to image processing technology and technology related to the field of pattern recognition and discloses an automatic recognition method and a device by utilizing spam images. Metadata, color features, texture features of the images as well as a support vector machine are used to realize automatic sorting of normal email images and spam images. The metadata of the image are extracted at first; then the color features of the images are extracted; then the texture features and shape features of the images are extracted; and finally, a support vector machine sorter recognizes the images automatically. In the invention, as the metadata features, the color features, the texture features and the shape features of the images are extracted, the speed is relatively fast, and the efficiency is high.

In a method and apparatus to detect position changes of an implant x-ray detectable markers are arranged in the environment of the implant, and 2D x-ray exposures are obtained at temporal intervals of a region containing the implant in which a distribution of the markers as well as of marked points of the implant are visible in each 2D x-ray exposure. A first of the 2D x-ray exposures is obtained at a first point in time from one projection direction, and a second of the 2D x-ray exposures is obtained at a second point in time from another projection direction. The distribution of the markers and marked points is determined in the first and second 2D x-ray exposure by an evaluation device, and from the distributions a degree of probability is calculated that the distribution of the first 2D x-ray exposure and the distribution of the second 2D x-ray exposure are projections of the same three-dimensional distribution of markers and marked points. An automated detection of position changes by implants with reduced x-ray exposure for the patient is facilitated.

The invention relates to a method for automatically identifying a waterline scale. The method includes obtaining standard sample images based on shot ship staff gauge images, identifying the water surface boundary from the standard sample images, obtaining staff gauge number images above the water surface boundary and containing staff gauge numbers, obtaining a target images through the images of each staff gauge number within four edges according to the staff gauge number images, zooming in the target images to the size of a template sample image, and calculating the matched evaluating value of each target image with the template sample image, wherein the template sample image corresponding to the maximal image matching assessment value is identified as the waterline scale. The waterline scale can be automatically and accurately identified when the staff gauge scale is not clear.

The invention discloses a vegetation phenological period extraction method based on effective pixels of a digital camera image, and belongs to the technical field of vegetation parameter remote sensing inversion methods. For a phenological camera or a common digital camera, a green vegetation index of a pixel scale is calculated by using a day-by-day multi-temporal observation image; based on the change amplitude of a green vegetation index in a year, an amplitude threshold value is screened, ground feature identification is carried out on an image region of interest, vegetation leaf pixels and non-leaf pixels such as soil and branches are rapidly identified, and when a mean value of the vegetation green index of the day-by-day image region of interest is obtained, the non-leaf pixels are removed. The signal-to-noise ratio of the vegetation greenness index mean value is increased, and the key phenological period of the vegetation growth cycle is extracted by using the vegetation index mean value time series data after noise reduction. According to the method, the influence of surface landscape change on vegetation phenology extraction of the region of interest can be effectively reduced, and the method has higher applicability to deciduous vegetation with medium and low coverage.

The invention relates to an image processing technique and a correlative technique in the field of mode identification and discloses a method and a device for automatically identifying the image of a junk e-mail. In the invention, the automatic classification of the image of a normal e-mail and the image of a junk e-mail is realized by utilizing the high-order autocorrelation characteristic of the image and combining a support vector machine. The method comprises the following steps: firstly, an edge detection operator is utilized to extract the binaryzation edge of the image; secondly, 25 high-order autocorrelation characteristic extraction templates of 3*3 are designed according to a high-order autocorrelation function and are utilized to obtain the 25-dimensional high-order autocorrelation characteristic of the image; thirdly, normalization processing is carried out to the obtained 25-dimensional high-order autocorrelation characteristic, and all the characteristic values are positioned between 0 and 1; and finally, automatic identification is carried out to the image by utilizing a classifier of the support vector machine. In the invention, because the high-order autocorrelation characteristic has the advantages of translation and rotational invariance, the device has better anti-interference performance.

The invention discloses an urban road underground disease recognition method based on constrained robust principal component analysis, which comprises the steps of obtaining original training sample data of underground diseases through ground penetrating radar, decomposing each piece of the original training sample data into a low-rank matrix representing the background clutter and a sparse matrixrepresenting a foreground object by using a constrained robust principal component analysis method, obtaining an over-complete dictionary of the original training sample data and a test sample complete feature vector, and recognizing the test sample complete feature vector by adopting a kernel function based sparse representation classification method. The urban road underground disease recognition method has the characteristics of high robustness, high operation speed, short data analysis time and the like, and can realize automatic recognition for the underground hidden disease quickly andaccurately.

The method comprises: reading out the ID information of LCD panel saved in the LCD module; matching the LCD ID information with the ID information provided by the vendor; if the match succeeds, then executing the initialization program, SLEEP IN and SLEEP out programs for the LCD. The invention is used in solving the problem of updating the mobile phone software caused by different LCD models of one LCD brand.

The embodiment of the invention provides a berth identification method and device based on a ship track. The method comprises the following steps: obtaining altitude data and a ship historical track in a preset longitude and latitude range; constructing an altitude dictionary table and a seaworthiness area dictionary table; determining a potential berth track point segment through a historical track of the ship; using a density clustering method to divide track point segments, center point position information of potential berths is determined, then using the center point position informationof the potential berths for inquiring and recognizing real berths in a seaworthiness area dictionary table, and therefore the global real berths can be quickly and automatically recognized.

The invention discloses a deaf-mute sign language interaction method and a deaf-mute sign language interaction device. The method comprises steps: sign language image information is acquired from a first wearable device, and sign language features are extracted from the sign language image information; according to a sign language word mapping library and a sign language speech mapping library, the word information and the speech information corresponding to the sign language features are determined; the word information and / or the speech information corresponding to the sign language image information are / is displayed on the first wearable device; environment speech is acquired from a second wearable device, and environment word information and environment sign language information corresponding to the environment speech are determined according to a speech word mapping library and a sign language speech mapping library; and the environment word information and / or the environment signlanguage information are / is displayed on the second wearable device. The self learning-type method and the device can enable a deaf-mute to communicate with other person in a barrier-free and smoothmode.

The invention aims at providing an image recognition method. According to the image recognition method, welding spots for welding silver wire on the surface of a silver foil in an acquired image are recognized. The acquired image comprises at least one first region corresponding to the silver foil and at least one second region corresponding to the silver wire. The image recognition method comprises the following steps of acquiring the gray?value of each pixel in the first region and the second region, acquiring characteristic points of the first region according to the gray?value of each pixel in the first region, and seeking the welding points in the second region according to the gray?value of each pixel in the second region and the characteristic points. In comparison with the prior art, recognition is carried out according to the gray difference between the silver foil and the silver wire, the position of the silver wire is sought around mass points of the silver foil, the welding spots are finally determined, and the positions of the welding spots are then conveniently, quickly and automatically recognized.

A classification method provided in the invention adopts a step-by-step progressive fingerprint quality assessment algorithm of multiple discrimination factors to reject a low-quality fingerprint so that fingerprint identification accuracy is increased. Three-level classification is performed on the fingerprints with qualified quality. In a first level, according to a fingerprint grain type characteristic, the fingerprints are divided into six types; in a second level, a ridge line number among fingerprint singular points is taken as characteristic so as to carry out classification; and in a third level, a fractal dimension of a fingerprint image quality stabilization area is taken as a characteristic so as to carry out the classification. Through the second level classification and the third level classification, continuous classification and redundant retrieval can be realized so that accuracy and robustness of system classification are effectively increased. An experiment on NIST DB4 shows that the classification of the method provided in the invention is complete; a retrieval speed is fast; an adaptive capacity is high; the high robustness is possessed; and the method is especially suitable for rapid automatic identification of a high capacity fingerprint database.

The invention discloses a method for rapidly and automatically identifying cell subsets of flow cytometry data (streaming data for short). According to the method disclosed by the invention, automatic cell subset identification is realized by mapping the streaming data to a matrix and classifying the location points of the matrix, and the method specifically comprises the following steps: projecting the data into a 128*128 matrix according to a two-dimension analysis mode of the streaming data, thereby obtaining an initialization matrix of the data; classifying the location points of the matrix by adopting a cyclic maximizing method, and finally, mapping the location point classification result back to the original data, thereby obtaining the final cell subset classification result. According to the method disclosed by the invention, the cell subsets in the streaming data can be rapidly identified, the data analysis efficiency is improved, and the influence of artificial subjective factors on the analysis result is avoided. The method for identifying the cell subsets of streaming data is accurate in result, short in analysis time and high in analysis efficiency and can be applied to the current automatic streaming data analysis.

The invention provides a harbor loading and unloading operation personnel safety prewarning system and method based on radio frequency identification. The system comprises a radio frequency identification tag unit and a radio frequency reading-writing unit, the radio frequency identification tag unit comprises a radio frequency identification tag and a first alarming device, and is configured on the body of operation personnel and used for storing tag information containing tag number, sending the tag number after receiving radio frequency signals and controlling the first alarming device to send alarming prompt after an alarming instruction is received, the tag number corresponds to the operation personnel, the radio frequency identification reading-writing unit is configured on operation equipment and used for sending radio frequency signals, judging interval between the two units and operation radius after the tag number is received and sending an alarming instruction when the interval is not larger than the operation radius, and effective working radius of the radio frequency identification reading-writing unit is not smaller than operation radius of operation equipment. The harbor loading and unloading operation personnel safety prewarning system and method realize quick and automatic identification of the operation personnel in dangerous operation areas and alarms, and has the advantages of simple structure, convenience in operation and low in cost, and dynamic management of the operation personnel is realized.

The invention discloses a multi-part rapid printing method based on additive manufacturing. The method first slices and layers the 3D models of each part, and obtains the total section layers of each model and its plane data; The number of layers, the computer control system controls the arrangement of each model on the workbench, so that the one with the largest total cross-section layer is placed in the middle, and other models are arranged in the descending order of the total cross-section layer along the moving direction of the scraper. Then, according to the plane data of each model, the molding system controls the movement of the scraper so that the scraper reaches the edge of the maximum two models along the direction of the scraper movement, and so on, and finally completes the rapid printing of all parts. The invention not only realizes the intelligent sorting of multiple parts, reduces the moving distance of the scraper, and improves the work efficiency, but also realizes the rapid and automatic identification and positioning of the edge positions of multiple parts, and can accurately locate the position of the paving device.

A micro-seismic first arrival recognition method and device based on the three-component polarization gradient are disclosed. The method may include the steps of constructing an instantaneous three-component covariance matrix CXYZ(t) based on original three-component data; constructing an instantaneous degree of polarization function PF(t) based on the instantaneous three-component covariance matrix CXYZ(t); constructing a target gradient function [delta](t) based on the instantaneous degree of polarization function PF(t); and recognizing the micro-seismic first arrival time by comparing the target gradient function [delta](t) with a given threshold value K. The method and device of the invention directly start with the original micro-seismic three-component data and realize the quick and automatic recognition of the micro-seismic first arrival by constructing the target gradient function of the instantaneous polarization function.

The invention provides an explosion protection system and a control method for a scrap metal crushing machine. The system comprises an oxygen concentration sensor, a gas pressure sensor, a nitrogen inerting system, a water mist explosion suppression system, a dust removal pipeline isolated system, an active explosion venting system, a manual control switch, an audible and visual alarm and a controller, wherein the input end of the controller is electrically connected with the output end of the sensor; and the output end of the controller is electrically connected with the nitrogen inerting system, the water mist explosion suppression system, the dust removal pipeline isolated system and the active explosion venting system. According to the explosion protection system for the scrap metal crushing machine provided by the invention, signals inside a crushing cavity are collected by the sensor and transmitted to the controller, and the signals are sent to a corresponding explosion protection device after processing judgment by the controller, so that the explosion protection function of the crushing machine is realized, the damage of explosion is reduced, and normal operation of the crushing machine and the safety of operation staff are guaranteed.