8425results about How to "Realize detection" patented technology

The invention relates to a device and method for detecting micro defects on the bright and clean surface of a metal part based on machine vision. The device comprises an imaging, positioning and adjusting mechanism and a processing unit, wherein the imaging, positioning and adjusting mechanism comprises a base plate, a guide rod, a fixed support, a sliding support, a stepping motor, a CCD (Charge Coupled Device) camera, a telecentric lens and parallel light sources, wherein the imaging and coaxial lighting of the CCD camera are primarily adjusted; an image collection card, an industrial personal computer, an equipment control card and an alarm are electrically connected in the processing unit and are used for collecting, transmitting, storing, processing, displaying and alarming image. The method comprises coaxial lighting adjustment and image processing, wherein coaxial lighting adjustment comprises the steps of triggering the equipment control card via software of the industrial personal computer to drive the stepping motor, and adjusting the rotating angles of the parallel light sources until the coaxial lighting condition is satisfied; and image processing comprises the steps of detecting defects on the internal surface of the detected part, respectively detecting large and small defects on the outer edge on the surface of the detected part, displaying the processing images in real time and judging the results.

The invention discloses key equipment applied to the pressure test operation of a deep sea oil and gas pipeline. The key equipment comprises a pressure test regulation and control system, a chemical agent injection system, a data collection and transmission system, a pressure maintaining control system, an auxiliary system, an immersed sea water filter, an underwater pressure testing pump, an underwater throttling and control system, an underwater flowmeter, an underwater pressure gage and a pressure sensor, wherein all above systems are designed according to the application of a water depth which is greater than 2000m, the requirements of underwater antiseptic materials are met, the above systems are connected through skid-mounted modules, and the above systems are externally provided with a protection frame of a frame type structure. By use of the key equipment, all underwater arrangement of pressure test operation equipment can be realized, the defects of more ground equipment, large space occupation, high input cost, more high-pressure potential safety hazards and the like in a conventional pigging operation are reduced, and pressure test operation efficiency of a deep water pipeline is improved.

A method for identifying multiple touch-point on infrared touch screen includes using light cut off by touch object between emitting and receiving tubes of co-axis and off-axis to confirm approximate coordinate value of touch point at one direction and preliminarily rejecting out pseudo-touch point and then using the same means to do the same thing on another direction for finally obtaining accurate coordinate value of all touch points and simultaneously rejecting out all pseudo-touch points.

The invention provides a lane line detection method based on a full-convolution network and relates to the field of traffic information detection. According to the method, probability operation is performed on an output feature map of the full-convolution lane line detection network, the probability that a lane line appears in each region in an input picture is obtained, a prediction probability threshold is set, and extraction and detection of lane lines are realized. Through the method, detection of straight lane lines and curved lane lines can be realized simultaneously; a lane line detection loss function is used to train the full-convolution lane line detection network, so that the detection effect of the lane lines is improved; the convolutional neural network learns abstract features of the lane lines from a lane line classification dataset instead of simply extracting external features of the lane lines; detection of a newly input image can be realized just by storing a lane line detection network model, so that storage space is saved, and the method is suitable for vehicle-mounted embedded equipment; and the small and shallow full-convolution lane line detection network isadopted to perform detection acceleration, so that detection speed is high.

The present invention relates to a detection method of quantum point labeled quick immunochromatographic test paper strip, belonging to the field of detection technology. Said invention is characterized by that the antibody of quantum point labeled objective material can be coated on the glass fibre membrane, another antibody of objective material and second antibody are respectively coated on the nitrocellulose membrane or nitrocellulose / acetyl cellulose mixed membrane to form detection band and quality control band, on the polyester or plastic plate the glass fibre membrane and nitrocellulose membrane can be made into the immunochromatographic test paper strip. Said invention also provides the concrete steps of said detection method by utilizing said test paper strip and the concrete application range of said test paper strip.

The invention provides a wood defect detection method based on deep learning. The method comprises the following steps of collecting images; segmenting the images into image blocks with a same size; selecting defect image blocks with different types and non-defective image blocks as a training sample set; using the training sample set to train a deep learning algorithm in an off-line mode; and using a trained deep learning algorithm to detect and identify defects of a wood image in an online mode and the like. In the invention, through the powerful deep learning algorithm, defects on different complex texture wood surfaces are detected and identified in high precision and online modes and a problem that a traditional image processing algorithm can not solve is solved. The invention also provides a wood defect detection system based on deep learning. Through cooperation among an image acquisition module, a deep learning algorithm processing module and a control execution module, a detection speed can be effectively accelerated and practicality is increased.

This invention relates to the stepwise layer-by-layer formation of a three-dimensional object through application of the principles of stereolithography and to the automatic detection of surface features of each layer of a three-dimensional object to manufacture parts more reliably, more accurately and more quickly. Automatic detection of trapped volume regions and size of solidified cross-sectional regions are disclosed. Automatic selection of recoating styles is made based on(1) the detected regions, (2) empirically or otherwise determined optimum recoating styles for different types of regions, and (3) a look-up table, other correlation system, or processor for associating recoating style information with laminae containing particular identified regions.

The invention discloses an electroluminescent display panel and a display device. According to the electroluminescent display panel and the display device, a light-sensing fingerprint identification area is arranged, so that a second light-emitting unit in a light-sensing identification pixel unit is enabled to be a transparent light emitting unit. Furthermore, during the optical fingerprint identification process, the fingerprint identification area can be used for effectively detecting fingerprints. Moreover, the light-sensing fingerprint identification area comprises a display sub-pixel unit and a light-sensing identification pixel unit. Therefore, the display function of the light-sensing fingerprint identification area can also be achieved. As a result, the occupied area of the non-display area is effectively reduced. The design of a narrow frame is facilitated.

The invention discloses a multifunctional H-type polyethylene glycol derivative and a preparation method thereof. The structure is as shown in formula (1) in the description, wherein a linear main axis LPEG and four PEG branched chains are included, and n1, n2, n3 and n4 are polymerization degrees of the branched chains, respectively; U1 and U2 are trivalent branching groups connecting the main axis LPEG with two PEG branched chains; F1 and F2 contain functional groups or their protected forms R01, and contain or do not contain branching groups G, and correspondingly, the number of R01 is one or more than one; F1 is the same as or different from F2; any linking group in the molecule or linking groups formed with adjacent heteroatom groups are stable or degradable; any PEG chain segment in the molecule independently shows polydispersity or monodispersity. The functionalized polyethylene glycol is diverse in branching structure and branching arm length, is adjustable and easily-controllable in various parameters and performance indexes, and is wide in application.

The invention discloses a back bonding platform for a superchip. The back bonding platform comprises a substrate, a chip peeling and overturning unit, an X-Y direction movement unit, a multi-degree of freedom bonding head and a mounting platform unit, wherein the chip peeling and overturning unit is used for respectively peeling and overturning a chip on a wafer disk and sending the chip to a to-be-picked position; the multi-degree of freedom bonding head is arranged on a supporting guide rail of the X-Y direction movement unit in a cantilever mode, and has functions of automatically levelling and aligning; the mounting platform unit is used for adsorbing the substrate and matched with the bonding head, so that the chip and the substrate are mutually positioned. In addition, in order to ensure the high-precision movement or matching of units, a plurality of vision positioning systems are configured in the back bonding platform. The back bonding platform can reach micrometer-level alignment accuracy, has the parallel adjusting accuracy of higher than 0.01 degree, and has the advantages of compact structure, convenience for operation and the like, so that the back bonding platform is particularly suitable for back bonding of the superchip.

The invention relates to the technical field of domestic appliances and especially discloses an electric heating pan with an inner pot detecting device. The electric heating pan comprises a controller, a base, an inner pot, an outer pot, a temperature sensor, a signal trigger and a signal generator, wherein the temperature sensor is located at the bottom in the outer pot and is stretchable; the signal generator is connected with the controller; the signal trigger is connected with the temperature sensor and moves up and down under the driving of the temperature sensor; the turning-on / off of the signal generator is controlled by the signal trigger by changing the position of the signal trigger; and the controller is used for judging if the inner pot is placed according to a turning-on / off signal sent by the signal generator. Meanwhile, the invention also discloses an inner pot detecting method for the electric heating pan. According to the electric heating pan provided by the invention, the detection for the inner pot is realized, the dry burning of the electric heating pan under the condition of absence of the inner pot is effectively avoided, the parts are prevented from being aged in advance, the service life of the electric heating pan is prolonged and the use safety is promoted.

A method can identify a plurality of touch points on an infrared touch screen. The method is applied to the infrared touch screen. An infrared emission tube array and an infrared receiving tube array are arranged around the infrared touch screen along a touch area. If the method detects that the optical line of more than one pair of emitter-receiver tube is blocked on the touch screen in latitudinal direction or longitudinal direction, the serial number or the address of the pair of emitter-receiver tube that is blocked is stored. Detected coordinate figures in the latitudinal and longitudinal directions are combined to obtain a plurality of possible touch points. And then, the pseudo touch points are picked off by the means of off-axis scanning. The method only changes the execution code of a micro controller to achieve the purpose of detecting a plurality of touch points without changing any structure of the current infrared touch screen, so the method has the advantages of very low application cost and extremely wide applicability.

A visual detection device for parts mainly comprises an imaging system, an optical lens component, a lighting system, a mechanical adjusting system, a displacement detection system and a computer, wherein the imaging system consists of a CCD camera and an image acquisition card; the optical lens component consists of a lens body, an amplifying objective lens, and the like; the lighting system is respectively used for detecting surface defects and measuring topographic sizes; the mechanical adjusting system consists of displacement platforms used for adjusting the positions of the parts; the displacement detection system is used for recording the displacement distance of the displacement platforms; and the computer is used for recording and processing images. By shooting edge images of theparts through the imaging system and recording the displacement distance of the displacement platforms through the displacement detection system, the detection device calculates the topographic sizessuch as diameter, and the like, detects the surface defects of the whole spherical surface by the combined rotation of rotary tables, measures the defect sizes accurately, records the number of the defects and meets the two detection requirements of topography measurement and surface detection. By utilizing the visual microscopic detection technology, the device has high system resolution, good integrated performance and simple measurement process.

The invention discloses a person number counting method and a system based on video monitoring. Based on video monitoring, the person number counting method can count the person number by detecting heads and estimating and tracking the movement of the heads, and can obviate counting error of manual counting due to the lack of energy. Because a video monitoring camera is usually arranged at a higher position and faces downwards slantwise in the monitored scene, the heads of all persons are visible basically and can be detected on a real-time basis even in a people-concentrated scene, so that the accurate counting can be achieved by continuously tracking the heads in the video, thereby obviating missing counting by manual counting in the people-concentrated scene.

The invention provides a method and a system for detecting moving objects. The method for detecting the moving objects comprises the following steps: acquiring video, namely acquiring video contents to obtain a scene image, and establishing a background model; preprocessing the image to eliminate the influence of the background image on the background model; marking areas, namely partitioning a foreground from the scene image according to the background model, and marking communicated areas; maintaining a state, namely judging the current state of a moving object detection system, performing corresponding processing, and performing abnormal detection if necessary; enhancing the areas, namely removing the false areas of shadow, high brightness and leaf swing by using shadow detection, high brightness detection and tree filter; and splitting and merging the areas, namely splitting and merging the areas by using the restriction provided by the background model and the priori knowledge of human and vehicle models to solve the problem of over partition and mutual shading of the objects. The method and the system detect the moving objects, and solve the problems of image jitter, brightness change, shadow, leaf swing and the like.

The invention discloses a ground obstacle detection method based on the binocular stereo vision of a robot, which belongs to the technical field of intelligent robots, and comprises the following steps that: according to the binocular baseline length and the focus, the ground parallax values of all rows in an image are analyzed through the geometrical configuration of the known image; based on the ground parallax values, a back projection model calculates the three-dimensional coordinates of a scene point corresponding to a pixel so as to initially judge whether the pixel belongs to an obstacle or a ground point; the obstacle and the ground point are respectively endowed with different colors; the results are post-processed and the false obstacle is removed; and three-dimensional errors are removed and a grid map is established. The method is applicable to various complicated indoor environments, can precisely identify various obstacles, has very high real-time performance, and provides very good preparation conditions for the robot to avoid obstacles.

The invention discloses a method for highly sensitive quantitative detection of quantum dot fluorescence immunochromatographic assay. The method includes: building a fluorescence immunochromatographic assay test strip on the basis of optimizing the structure of the test strip and components by the aid of excellent fluorescent characteristics of quantum dots and by means of combining quantum dot fluorescence labeling technology and immunochromatographic assay; detecting fluorescence signal strength of a quantitative belt and a quality control belt by the aid of a fluorescence quantometer and correcting the fluorescence strength of the quantitative belt by the aid of the quality control belt after immunochromatographic assay of the test strip; and further quantitatively detecting analyte according to a standard curve obtained by the fluorescence quantometer. The method is simple, rapid, accurate, low in cost and quite high in sensitivity. Compared with a conventional colloidal gold immunochromatographic assay method, the method has the advantages of fine labeling stability, low non-specificity, high sensitivity, wide linear range and accuracy in quantization. The method is applicable to samples such as blood samples, urine samples, spittle, excrement and the like, and can be applied to detection of critical illness, poison, food safety and the like.

The invention discloses a dielectric-varied capacitive flexible three-dimensional force tactile sensor. The dielectric-varied capacitive flexible three-dimensional force tactile sensor is characterized in that a flexible printed circuit board is arranged, wherein a square common electrode and four identical rectangular induction electrodes which are located on the periphery of the edges of the common electrode in an equidistant mode are printed on the printed circuit board; the induction electrodes are in two-to-two symmetry with the center of the common electrode serving as the symmetry point; a composite multi-dielectric layer is fixed to the flexible printed circuit board; the composite multi-dielectric layer is formed by an inversely-concave PDMS dielectric layer and an air dielectric layer located in a groove of the PDMS dielectric layer; the composite multi-dielectric layer is buckled on the upper portion of the flexible printed circuit board, and the common electrode and the four induction electrodes are located in the air dielectric layer; a PDMS hemispheric contactor is arranged on the composite multi-dielectric layer. According to the dielectric-varied capacitive flexible three-dimensional force tactile sensor, the common electrode and the induction electrodes are located on the same plane; compared with a traditional capacitive tactile sensor of an up-down electrode structure, the dielectric-varied capacitive flexible three-dimensional force tactile sensor has the advantages of being simple in manufacturing process and capable of being easily arrayed.

The invention discloses a Keystone transform-based multi-frame phase coherence accumulation target tracking-before-detecting method. Distance walk of target echo in multi-frame radar data is corrected by using Keystone transform, the quadratic term of a target echo phase is estimated and compensated by using discrete chirp Fourier transform (DCFT) to utilize the phase information of the target echo, and the output signal-to-noise ratio is improved by multi-frame echo phase coherence accumulation so as to realize detection of a weak target. Compared with the traditional non-phase coherence tracking-before-detecting method, the method can effectively realize the detection of the weak target under the echo data of reduced frame number, improves the detection efficiency, provides position and motion information of the target at the same time of detecting, and realizes tracking of the target.

The invention provides a target track-before-detect (TBD) method based on multi-frame coherent integration. The method is characterized in that a new TBD method is provided aiming at the fact that when multi-frame integration is carried out, the phase information of target echo is not utilized in the traditional TBD method. According to the method provided by the invention, a signal to noise ratio is improved through multi-frame echo coherent integration by utilizing the phase information of the target echo; and by using the method in the invention, the detection of a weak target can be effectively achieved under the condition of less echo data frame numbers, the detection efficiency is improved, and the position speed information of the target is provided while detecting so as to realizethe track of the target.

The invention provides a flexible pressure sensor and a preparation method therefor. The flexible pressure sensor comprises an upper flexible substrate and a lower flexible substrate which are arranged oppositely in parallel, an upper sensitive layer which is attached to the lower surface of the upper flexible substrate in a conformal manner and a lower sensitive layer which is attached to the upper surface of the lower flexible substrate in a conformal manner, wherein the upper sensitive layer is provided with an upper electrode while the lower sensitive layer is provided with a lower electrode; the upper electrode and the lower electrode are not crossed mutually; a contact region is formed between the upper sensitive layer and the lower sensitive layer; multiple multi-stage lug bosses are arranged on the lower surface of the upper flexible substrate and the upper surface of the lower flexible substrate respectively; and the multi-stage lug bosses are 50-100[mu]m in average lengths and 1-10[mu]m in average heights. The flexible pressure sensor provided by the invention has the flexible substrates which are obtained by impression and have special convex microstructures, so that the surface roughness is improved, and the sensitivity of the sensor is greatly improved.

The invention discloses an extendible repeated data detection method, belongs to the technical field of computer storage, and solves the problem that in the existing repeated data detecting method, the storage capacity cannot be efficiently extended, so as to meet the requirements of the current situation that the storage demand increases and repeatedly deleted systems need upgrading and updating. The extendible repeated data detection method comprises the following steps: partitioning processing, fingerprint extraction, retrieving of Bloom filters, retrieving of fingerprint subset table, judgment of unfulfilled Bloom filters, new fingerprint marking, judgment of Bloom filter quantity, and extending of Bloom filter array. In the invention, the Bloom filter array is used to retrieve the fingerprint data, so as to quickly locate the retrieval range, improve the retrieval efficiency and realize detection on the repeated data; the extendible repeated data detection method is high in expansibility and querying performance, can support element location and control the misjudgment rate, and further can effectively reduce the memory overhead. The Bloom filter array is composed of a series of isomorphic Bloom filters, so that once the misjudgment rate epsilon' and the pre-established retrieving fingerprint total quantity nmax are provided, the quantity of the required Bloom filters and the number of the hush functions can be worked out.

The invention discloses a method and device for detecting somatic cell SNP. The method comprises the steps of S1, comparing DNA sequencing data of somatic cells with reference genome data to obtain data of all SNP loci; S2, screening out SNP loci which occur on splicing loci and SNP loci which occur on exons and cause nonsynonymous mutation of amino acid to obtain a first SNP locus set; S3, removing SNP loci with the thousand-people mutation frequency higher than 5% in the first SNP locus set to obtain a second SNP locus set; S4, screening out SNP loci which are resources of somatic cell mutation from the second SNP locus set to obtain a third SNP locus set; S5, screening out SNP loci with the frequency of supporting sequences lower than 75% from the third SNP locus set to obtain SNP loci containing somatic cell SNP. By means of the method, somatic cell mutation can be detected through simple samples, and therefore the cost is lowered.

The invention discloses a method for analyzing a security log and a system thereof, which realizes filtration of invalid logs and misreported logs in mass logs, and discovers large-scale network security events and common attack sequences. The method comprises the following steps: the mass logs are subject to cluster analysis by the attribute-oriented inductive algorithm so as to generate class description of each class of log after clustering; an administrator sets filtration regulations according to the clustered class description, unrelated and misreported logs are removed from the current log base so as to simplify the mass logs; Internet Worms, distributed denial of service attacks and other large-scale network security events characteristics are extracted; the simplified log is subject to sequential pattern mining to find attack behavior sequence description commonly used by attackers to be finally submitted to the administrator. The system comprises a clustering analysis module, a filtration module and a sequential pattern mining module. The method and the system can be applied to information processing of the mass logs of security products.

The invention discloses a liquid crystal box, a 3D touch control display device and a control method thereof. The liquid crystal box comprises a first baseplate, a second baseplate, a liquid crystal layer positioned between the first baseplate and the second baseplate, grating layers positioned on the first baseplate, a touch control electrode layer positioned on the second baseplate, as well as a second polarizer and a third polarizer positioned on one sides, opposite to the liquid crystal layer, of the first baseplate and the second baseplate respectively. Based on the structure, in a time-sharing period of a 3D display mode, driving voltage is applied to the touch control electrode layer and the grating layers in sequence, and touch driving and grating driving are performed in sequence; in the grating driving process, the touch control electrode layer performs ground connection by serving as the common electrode layer of the grating layers; in the process of touch driving, the grating performs ground connection, various electrodes of the touch control electrode layer serve as the touch control electrodes of the touch control module; one-step detection is performed to the touch control signal, the time of the process of touch driving is less than the retention time of liquid crystal molecules; when the 3D display is performed, the light splitting function and the touch control function of the grating are realized at the same time; and two layers of glass baseplates are saved.

The invention provides a touch sensor based on flexible voltage-sensing conductive rubber. The invention is characterized in that a sensing unit has a structure form that: a flexible circuit board is used as a motherboard, the disc-shaped flexible voltage-sensing conductive rubber is arranged on the flexible circuit board and is electrically connected with an electrode distributed on the flexible circuit board, a stress surface at the top part of the flexible voltage-sensing conductive rubber is covered by a force transmitting hemisphere; the flexible circuit board is in a four-electrode structure, wherein, a public electrode A is a center circle electrode which is positioned on the concentric position together with the disc-shaped flexible voltage-sensing conductive rubber, a signal electrode B, a signal electrode C, and a signal electrode D which are at an angle of 120 degrees between every two are fan-shaped electrodes that are evenly distributed on a same torus of the periphery of the public electrode A. The invention relates to the touch sensor which has the advantages of strong surface suitability, high reliability, simple signal collecting circuit, and convenient manufacture, and also can be used for the three dimensional force detection.

The invention provides a road detection method based on superpixels and a convolution neural network, and the method comprises the steps: carrying out the image preprocessing through a simple linear iteration cluster algorithm, and segmenting an image into superpixels which are uniform in size; carrying out the automatic learning of characteristics which facilitate the classification most based on superpixel blocks through employing the convolution neural network, and training the network; carrying out the classification of a road region and a non-road region through employing the trained convolution neural network; and carrying out the optimization of a classification result through a Markov random field according to the relation between the superpixel. Compared with the prior art, the method can effectively detect the road region in a complex environment, and is better in robustness.

The invention provides an online detection device for the pulp flow rate and a multi-parameter online detection integration system, which comprise a pulp container which has a feed port and a discharge port and is arranged on a support through a, weighing cell, a pulp flow rate detection device which is provided with a soft connector at the discharge port, and / or a pulp density measuring device, a pulp grain size measuring device and a pulp grade measuring device. The online detection device for the pulp flow rate and a multi-parameter online detection integration system can not only measure any single index of the flow rate, density, grain size and grade of the pulp according to requirements, but also simultaneously measure two or above two or even all of the indexes with high measuring accuracy, good stability and reliability. The online detection device for the pulp flow rate and a multi-parameter online detection integration system also have the advantages of simple structure, high working efficiency, low labor intensity, wide application range, etc., thereby being capable of providing the highly reliable flow rate, density, grain size and grade control parameters for liquid products to ensure product quality, reduce cost and improve working efficiency, and providing a highly guaranteed measuring device and system for full automatic control.

The invention discloses a comprehensive performance test bench for a planetary roller screw. A driving assembly provides power for the planetary roller screw; a test assembly is used for mounting a planetary roller screw of a different model; a hydraulic loading assembly is adopted to carry out dynamic and static loading on a planetary roller screw nut, load borne by the planetary roller screw during actual work is simulated, and a force closed loop is adopted to ensure accuracy of the loading force. The test bench is provided with a torque sensor, an angle encoder, a circular magnetic grating, a grating ruler, a LVDT, and a force sensor. Measurement on torque, an angle, displacement and force is realized through the sensor. Through analyzing the test data, test on performance of the position precision, the speed, the acceleration, the transmission efficiency, the transmission clearance and the axial stiffness of the planetary roller screw of the different model in the load state can be completed. The test bench has the advantages of simple and flexible structure, thorough and accurate test performance parameters, high loading precision and strong test scalability.

The invention relates to an intelligent detection-control system and method for air purifiers. The system comprises an intake fan; an inlet detection unit, an air purification unit and an outlet detection are connected to the rear of the intake fan in order; both the inlet detection unit and the outlet detection unit are connected with an analysis unit; the analysis unit is connected with the air purification unit and the intake fan through a control cable. The method includes: detecting quality of air at an inlet; detecting quality of air at an outlet; processing two data sets from the inlet detection unit and the outlet detection unit, updating control parameters of the air purification unit and the intake fan according to processing results and transmitting control commands to the air purification unit and the intake fan. The intelligent detection-control system and method for air purifiers has the advantages that processing effect of the air purification unit can be calibrated quantitatively, air ventilation and operating parameters of the air purification unit are controlled accordingly, and advices for maintenance work such as whether replacing a filter element needs to be replaced or not can be provided for users.