331results about How to "Shorten detection time" patented technology

The invention relates to a connection table based optical automatic detection algorithm of a printed circuit board, belonging to the field of machine vision. In the invention, the on-line detection technique of the printed circuit board is improved by using a connection table method, and the aims of increasing the on-line detection speed and accuracy without precisely positioning images are achieved. The connection table-based optical automatic detection algorithm of the printed circuit board is mainly characterized by comprising the following step of: establishing a bonding pad conducting wire connection table by utilizing the connection relationship among bonding pads to prepare for subsequent detection. In the invention, the obtained images of a standard circuit board and the images of a circuit board to be detected can be preprocessed and finely processed, and a template database is established by extracting the characteristics of images. In the invention, the aims of quick positioning and precise identification are achieved without precisely aligning the image to be detected with a template image by utilizing the connection relationship among the bonding pads as a target positioning tool. In the invention, the defect problems of the conducting wire and the bonding pads in the circuit board to be detected can be accurately detected and the aim of real-time detection is achieved.

Embodiments of the invention disclose a human face key point tracking method and apparatus. The method comprises the steps of obtaining human face key point coordinates and a confidence degree of a previous frame of image to calculate human face key point coordinates of a current frame; and then, performing multi-human face identification on the current frame according to the human face key point coordinates of the current frame, calculating a corresponding confidence degree of the current frame for reference by a next frame of image, and circulating the process until all images in a video stream are identified, so that the purpose of tracking human face key points in the video stream in real time is achieved. According to the scheme, the detection time can be greatly shortened, the processing efficiency can be improved, the resource consumption can be reduced, and real-time calculation can be realized at a mobile terminal.

An islanding detection apparatus for a distributed generation power system and a detection method therefor operates a power converter to act as a virtual capacitor or inductor at a frequency close to but unequal to that of a utility power system under abnormal condition of the utility power system. When power failure occurs in the utility power system, only the distributed generation power system supplies power to a load so that a load voltage has been changed in at least one of amplitude and frequency which can be immediately detected islanding phenomenon.

The invention provides a large-aperture ultra-smooth surface defect detection device and method. The device mainly comprises a laser device, a laser beam expanding system, a high-reflectivity mirror, a polarizer, a polarization splitting prism, a 1/4 wave plate, a rotary prism, a telecentric field lens, a high-angle-scattering light detector, a low-angle-scattering light detector, a line triggering detector, a reflection light detector, a precise display platform and a computer. Detection efficiency of a large-aperture optical element can be remarkably improved, and the situation that detection results are severely influenced by vibration, axial jumping and the like, caused by high-speed rotation, of the large-aperture optical element is avoided. Surface defects can be classified, and it can be recognized whether the detected defects are pits, scratches, protruding dust, fibers and the like.

A display device includes: a screen unit; a drive unit; and a signal processing unit, and wherein the screen unit includes rows of scanning lines, columns of signal lines, matrix-state pixel circuits and a light sensor, the drive unit includes a scanner supplying a control signal to the scanning lines and a driver supplying a video signal to the signal lines, the screen unit is sectioned into plural regions each having plural pixel circuits, the drive unit allows plural pixel circuits belonging to different regions to simultaneously emit light, the pixel circuit emits light in accordance with the video signal, the light sensor outputs a luminance signal in accordance with the light emission and the signal processing unit corrects the video signal in accordance with the luminance signal and supplies the signal to the driver.

The invention relates to a method and a detection kit for detecting special pathogenic bacteria by a bioluminescence method combined with immunomagnetic bead identification. According to the method of the invention, with monoclonal antibodies or polyclonal antibodies on an immunomagnetic bead, bacteria in a bacterial suspension or a sample are captured by antigen-antibody reactions; adenosine triphosphate (ATP) in the bacteria is released by adding a lysate; finally detecting the ATP content by fluorescein (D-Luciferin)-luciferase so as to determine whether specific microorganism is present in the sample, and determining the amount of the contained specific microorganism by the determination of an ATP standard curve. The kit provided by the invention comprises an immunomagnetic bead coating the antibodies, a microbial lysate, luciferase and a protective agent, a detection buffer, etc. With the invention, detection time can be shortened greatly (within 2 hours); no bacterium increasing or filtering is necessary; the operation is simple; the sensitivity is high; the specificity is high; and the invention is applicable to rapid field detection of food and environment samples, and basic popularization and application.

The invention provides a battery classifying method of retired electric cars. The method comprises the steps that power batteries are subject to self-discharging detection, voltage drop-out value of the power batteries is obtained, and materials of the power batteries are combined for judging whether the power batteries meet the first echelon utilization requirement or not; the power batteries are subject to performance detection, the capacity retention ratio of the power batteries is obtained, and according to the capacity retention ratio, whether the power batteries meet the second echelon utilization requirement or not is judged; the power batteries are subject to temperature rise effect detection, the temperature rise amplitude of the power batteries is obtained, and according to the temperature rise amplitude, whether the power batteries meet the third echelon utilization requirement or not is judged; and according to the battery parameter threshold value range of the application condition of the power batteries, the application method of the power batteries is determined. According to the method, the batteries with the high potential safety hazard can be rapidly and effectively removed, the threshold value range of parameters of the retired power batteries applied under different conditions is determined, and the safety of the batteries in the application process is improved.

The invention discloses a motor imagery and P300 electroencephalographic potential-based functional key selection method, which comprises that: a user executes corresponding motor imagery and P300 visual stimulation tasks according to randomly-occurring target attributes after causing a cursor on a working interface to reach a target by using brain-computer interface equipment; the brain-computer interface equipment transmits generated electroencephalographic signals to a computer; and the computer simultaneously performs data processing and analysis on P300 information and motor imagery information in the electroencephalographic signals respectively, and finally judges whether to select or refuse the target according to analysis results. In the method, motor imagery signals and P300 signals which are independent of each other are combined and applied in the field of brain-computer interfaces; and the method has the advantages of high detection success rate and short detection time, and can be applied to motor control in the fields of auxiliary devices for the disabled and electronic entertainment.

The invention discloses a driver fatigue detection method based on a neural network. The driver fatigue detection method comprises the following steps: S1, acquiring an image by using an infrared camera; S2, using a multi-task cascade convolutional network algorithm to detect positions of the human face and the key points, and obtaining a detection model; S3, using a region extraction algorithm toextract eye and mouth region graphs according to the positions of the key points. The driver fatigue detection framework completely based on the neural network is provided, and the detection accuracyis higher. According to the algorithm, face detection and face key point detection tasks are combined, face parts and face key points can be output at the same time, and the detection time for detecting the faces first and then detecting the key points is shortened. The detection range is wider. The method is not limited to eyes and the mouth, the characteristics of calling, smoking and the likeare detected simultaneously, and expansibility is achieved.

The invention belongs to the technical field of medical testing, and particularly relates to a multifunctional human physiological parameter testing device, which comprises a frame body and a control center arranged in the frame body. The frame body is provided with a detection component, the detection component is used for detecting multiple human physiological parameters, is electrically connected with the control center, is controlled by the control center, and comprises a body height detector, an electronic weight scale, a thermometer, a blood pressure detector, an electrocardio and body composition tester, and a blood oxygen tester, the body height detector is fixedly arranged at the upper end of the frame body and is used for detecting the body height, the electronic weight scale is arranged at the bottom of the frame body and is used for detecting the weight, the thermometer is fixedly arranged in the middle of the frame body and is used for detecting the temperature; the blood pressure detector is used for detecting the blood pressure, the electrocardio and body composition tester is used for detecting the heart rate and body composition, and the blood oxygen tester is used for detecting the blood oxygen. Therefore, when an examinee is located in the testing device, multiple human physiological parameters can be tested, a health assessment form can be obtained, multiple testing instruments can be eliminated for the examinee, the detection efficiency can be improved, the detection time can be saved for the examinee, and one-stop convenient services can be provided for the examinee.

The invention discloses a computer vision-based real-time detecting and tracking method for an electric power transmission circuit of an aircraft in a complicated natural environment background. The method comprises the steps of: firstly extracting a pixel point cloud of the electric power transmission circuit by using an anti-noise gradient image and a maximum between-cluster variance algorithm; then screening detected straight segments in a Hough space by utilizing a K-means algorithm; and tracking and detecting according to the straight segment information detected by previous frame of video image by using a Lalman filter. The method has the advantages that: the influence of illumination on the detection of the electric power transmission circuit is eliminated, the detection accuracy of the electric power transmission circuit is improved, the detection time is shortened, the workload of inspecting workers is relieved, the inspecting efficiency is improved, and the phenomenon of the missed detection of the electric power transmission circuit in the inspection process is avoided.

The invention relates to an optical measuring device, especially relates to a precise method for measuring the slot of a planar slot antenna, and the device at least includes an image extracting device, a compute unit which processes the information provided by the image extracting device, which is characterized in that: A. initialization: 1) establishing a corresponding relationship between the digital picture pixel and the actual dimension; 2) extracting an image information from the planar slot antenna; 3) extracting a slot edge information of the image; 4) executing a sub-pixel process of the edge point; 5) storing sub-pixel edge points; B. real-time detection: 1) extracting an image information from the planar slot antenna at certain times; 2) extracting a slot edge information from the image information; 3) executing a sub-pixel process; 4) comparing with the corresponding edge point information stored in step four of the section A; 5) when less than the variation amount, repeating the step one of the section B; 6) when more than the variation amount, presenting a reminding information. The measurement can be carried out in working condition of the antenna, which does not affect use, and the measurement precision is high and the cost is low.

The invention relates to a video image processing method, in particular relates to a classification method for film defects. The classification algorithm for defects comprises the following steps: (1) extracting a target area; (2) eliminating a pseudo boundary; and (3) carrying out classification and detection on the defects. The classification method can be used for identifying and distinguishing different defect types according to the surface characteristics of the defects, so as to realize the automation of detection and classification processes of the defects.

The invention discloses an alga sort classification identification method based on a Raman spectroscopy technique. The alga sort classification identification method comprises the steps as follows: a plurality of samples of the same alga sort are taken, each sample is living alga liquid of the current alga sort, and the Raman spectroscopy original information about the each sample is obtained by adopting a Raman spectrograph; the acquired Raman spectroscopy original information is preprocessed to obtain a corresponding preprocessing spectral graph, and main factors are abstracted from each preprocessing spectral graph by adopting the partial least squares; the alga sort is exchanged, and main factors corresponding to different alga sorts are obtained; a BP nerve network model is established via taking the main factors of all the alga sorts as the input and taking the classification of the alga sort corresponding to the each main factor as the output; a living alga liquid to be identified is taken to acquire the main factors of the living alga liquid to be identified, and input the main factors into the BP nerve network model, and the alga sorts contained in the living alga liquid to be identified are obtained. The alga sort classification identification method achieves quick and accurate classification of alga sorts based on the Raman spectroscopy technique, greatly simplifies operation steps and shortens detection time.

The invention relates to an in-situ on-line detection device for a metallurgy liquid metal component. The device comprises a front-end high-temperature-resisting optical probe, a middle-end signal generating and acquiring part and a rear-end control platform, wherein the front end of the front-end high-temperature-resisting optical probe is arranged in metallurgy liquid metal to generate an optical signal and is used for transmitting the optical signal to the middle-end signal generating and acquiring part; the middle-end signal generating and acquiring part is used for converting the received optical signal of the front-end high-temperature-resisting optical probe into an electrical signal and outputting the electrical signal to the rear-end control platform; and the rear-end control platform is used as a manual operation and display platform and is used for receiving the electrical signal transmitted by the middle-end signal generating and acquiring part, processing the received electrical signal, controlling a laser signal of the middle-end signal generating and acquiring part and controlling the flow of water and gas in the front-end high-temperature-resisting optical probe. By the device, detection time is greatly shortened, the quality of a product is substantially improved, production cost is reduced, and energy consumption is reduced; and the device has an accurate measurement result and can be used for measuring difficultly-measured components such as C, S, P and the like.

The invention discloses a preparation method of an ultra-high purity aluminum sample for GDMS detection and an impurity analysis method of the ultra-high purity aluminum sample, relating to the technical field of analysis of high-purity metal components. The preparation method comprises the step of carrying out ultrasonic acid pickling on a to-be-tested ultra-high purity aluminum sample, wherein acid pickling liquid is mainly prepared by mixing nitric acid, hydrofluoric acid and water in a volume ratio of 1 to (2-5) to (5-8). According to the preparation method, the problems that existing methods are not suitable for ultra-high purity aluminum samples, Na and Si are easily introduced in a sample preparation process, and then the detection is slightly high or the stabilization time of an element detection value is long are alleviated. By utilizing a sample preparation method disclosed by the invention, the problem that Na and Si in the ultra-high purity aluminum sample are easily introduced can be effectively alleviated, meanwhile, impurities can be effectively removed, the formation of an oxidation layer on the surface is effectively inhibited, the GDMS detection time is effectively shortened, and the accuracy, stability and repeatability of detection are guaranteed.

The invention discloses an online check method for a mass flow controller, wherein the opening of a pressure control valve or the atmospheric pressure in a reaction chamber corresponds to the flow rate of gas one by one during the checking process, so that the gas with predetermined flow rate can be inputted and the opening of the pressure control valve or the atmospheric pressure in the reaction chamber is measured after the pressure is dynamically stabilized; the gas with the predetermined flow rate is inputted through the mass flow controller to be checked and the opening of the pressure control valve or the atmospheric pressure in the reaction chamber is measured after the pressure is dynamically stabilized again; and the conclusion that whether the mass flow controller to be checked is subjected to zero drift or not can be drawn by comparing the opening or the atmospheric in the two times. The time consumed by the check method is only the time for establishing dynamic pressure equilibrium in the reaction chamber, so that the check method can obviously shorten the breakdown detection time and quickly obtain the detection result, and is favorable for improving the service efficiency of plasma processing equipment.

The invention relates to the field of ultrasonic imaging, in particular to an ultrasonic-based blood flow velocity measurement method and blood flow measurement method. According to the blood flow velocity measurement method, acquired IQ signals are sub-sampled and divided through N sub-sampling windows covering blood vessel full-depth ranges, and the defect that a doctor needs to move a sub-sampling window constantly and can only detect parts, located in the sub-sampling window, of blood vessels in traditional D-mode imaging is overcome; blood flow distribution information of the blood vessels in various depth positions can be provided for users; besides, according to the blood flow measurement method, sub-window sampling in the blood vessel full-depth ranges is performed simultaneously, blood flow information in various positions in the blood vessel full-depth ranges is acquired, and more accurate flood flow and blood flow jitter index can be acquired according to the blood flow velocity information in various depth ranges.

The invention is a kind of preparation methods to produce carbamido consistent grease with low noise. The approach follows this. Mix organo amine with isocyanic ester and base oil and they will reactive, when the batch heat rises to 100-150 degree, add cold oil in order to cool auxiliary product rapidly. Later, whet the outcome to produce fat. The organo amine is a kind of asmixture by fat amine which carbon number is 10-20 and aromatic amine which carbon number is 6-8, the both mol ratio is 0.25-4:1. The cold oil's use level is 5%-35% of base oil's. the base oil is mineral oil which temperature is 100 degree and coefficient of viscosity is 4-40cSt or assemble A-alkene oil. The carbamido consistent grease in this way has a equable libration value, the libration data can be got within 10-20 seconds exactly, so it can improve production efficiency of bearing obviously.

The invention discloses a real-time shielding residue soil volume measurement method based on an optical grating projection binocular-imaging technology. A laser projector projects structured light having a certain code to comprehensively cover a soil bucket compartment of a residue soil vehicle, the shape of the structured light is as shown in a figure, two vidicons form an angle and can well acquire optical grating projection information of the soil bucket compartment of the residue soil vehicle and then project the acquired optical grating images into the soil bucket compartment of the residue soil vehicle, feature point matching is conducted on the obtained optical grating images through a computer, point cloud preprocessing and three-dimensional reconstruction are performed to simulate a three-dimensional shape of the soil bucket compartment of the residue soil vehicle, the size before loading of the soil bucket compartment of the residue soil vehicle is calculated through a rapid volume calculation method, the size after loading of the soil bucket compartment of the residue soil vehicle is calculated by repeating the steps, and the size difference is the shielding residue soil amount to be measured. The method makes measurement convenient and quick, and real-time measurement can be achieved.

The invention discloses a malachite green detecting method, which is characterized by comprising the following steps of: dripping a standard malachite green solution on a Raman substrate with surface activity, which is modified by nanometer gold particles; and after a solvent is evaporated to be dry, collecting a surface-enhanced Raman spectrum of malachite green by using a con-focal microscope Raman spectrometer with a laser wavelength of 633 nm, wherein the surface-enhanced Raman spectrum of the malachite green is provided with characteristic peaks at positions of 1610, 1360, 1170, 798, 913 and 432 cm<1>. The invention further provides an application of the detecting method, which is used for detecting a malachite green or hidden malachite green residual amount in a water body. By combining an SERS (Surface-Enhanced Raman Scattering) active substrate modified by the nanometer gold particles with the surface-enhanced Raman spectrum technology, the detecting method provided by the invention is applied to detecting residual malachite green and hidden malachite green of a fishery medicine of an aquatic product. The detecting method has higher detection sensitivity, so that the detection time is greatly reduced, and the detection cost is saved.

The invention relates to a method for detecting bacteria, comprising the following steps of: a, sampling step: feeding a to-be-detected sample into a hollow fiber filtering unit, intercepting bacteria and/or bacterial metabolites by a hollow fiber membrane and accumulating the bacteria and/or bacterial metabolites in the filtering unit; feeding the flushing liquid into the filtering unit, flushing the inner side and/or the outer side of the hollow fiber membrane, flushing out the accumulated bacteria and/or the bacterial metabolites; and b, culturing and detecting step: culturing the bacteria and/or the bacterial metabolites which are eluted by the filtering unit, detecting the change of solution in a culturing room to obtain the information of target bacteria in the to-be-detected sample. The invention further provides a device for detecting bacteria, which comprises a sampling unit, a filtering unit and a culturing and detecting unit. The method has the advantages of short detecting time, improved detecting efficiency, high detection accuracy; and the detecting device has long service life and low maintaining cost.

The invention brings forward a pedestrian detection method and system. The method includes the following steps: extracting the histograms of oriented gradient (HOG) characteristic vector of a training sample, decomposing the HOG characteristic vector to obtain an HOG-NMF characteristic vector; establishing a support vector machine (SVM) classifier on the basis of the HOG-NMF characteristic vector and an additive cross kernel function; screening scan windows of a sample image to obtain a candidate sample; obtaining the HOG-NMF characteristic vector of the candidate sample; and identifying the HOG-NMF characteristic vector of the candidate sample according to the SVM classifier to obtain a pedestrian detection result. According to the method, the pedestrian detection time can be effectively reduced, the detection efficiency is high, and the detection precision is high. The invention also provides a pedestrian detection system.

The invention relates to a primer group for rapid detection of 2019-nCoV based on a CRISPR technology and application thereof, and belongs to the technical field of gene detection of the CRISPR technology. The primer group comprises an Orf1ab gene amplification primer pair, an Orf1ab gene crRNA, an N gene amplification primer pair and an N gene crRNA. The primer group is adopted to detect 2019-nCoV by the CRISPR technology, the detection time of 2019-nCoV is shortened, and detection can be completed within 40-60min. A specific sequence combination is obtained through screening to serve as theprimer group for detection, the primer group has the advantages of being high in sensitivity and specificity, and the detection limit can reach 7.5copies. The primer group is adopted to conduct CRISPRdetection on 2019-nCoV, dependence on complex variable-temperature amplification instruments such as a qPCR instrument is eliminated, and the CRISPR-Cas technology has wide application prospects in the aspect of real-time diagnosis of 2019-nCoV.

The present invention provides methods, apparatus and systems for embedding and detecting an electronic watermark without requiring signals for geometric compensation. A particular embodiment uses a periodic pattern with repetition as an embedded pattern itself, which has information embedded as an electronic watermark, and observes the change of its period upon detection to calculate the scaling factor. When detecting the electronic watermark, the scaling factor of images is calculated from digital data that underwent the scaling processing, and then the processing to detect the electronic watermark is performed based on the obtained scaling factor.

The invention discloses a power battery management system, an insulation resistance detecting device and a method for a power battery. The detecting device comprises: a positive and negative bias resistor network, a positive and negative voltage detecting unit and a control unit. The control unit first controls the positive bias resistor network and the negative bias resistor network to be in an off state, and obtains the first positive insulation voltage V1 and the first negative insulation voltage V2 of the power battery through the positive voltage detection unit and the negative voltage detection unit. When V1 is greater than V2, the negative bias resistor network is first controlled to be in an on state, a second negative insulation voltage V2' is obtained, and then the positive biasresistor network is controlled to be in an on state. And the negative bias resistor network is controlled to be in an off state after the first preset time delay, the second positive insulation voltage V1' is obtained, and the positive and negative insulation resistance of the power battery is obtained according to V1, V2, V1' and V2'. The system not only enables accurate detection of the insulation resistance, but also shortens the detection time.

The invention provides an automatic Android platform malicious software detecting method and system. The method includes the steps of 101, inputting software to be tested, analyzing the software characteristic behaviors of the software to be tested, and obtaining the malicious software characteristic behaviors in the software characteristic behaviors; 102, calculating the sum of weighted values of all the obtained software characteristic behaviors; 103, comparing the sum of the weighted values with a set threshold value, and then judging whether the software to be tested is malicious software or not. Before the step 101, the method further includes the steps of firstly, analyzing the malicious behavior mode of the software, extracting all malicious software characteristic behaviors, and establishing a malicious software characteristic behavior bank; secondly, distributing weights for all the extracted malicious software characteristic behaviors, and establishing the mapping relation list of all the malicious software characteristic behaviors and the weights; finally, calculating the detecting threshold value representing that the software belongs to the malicious software according to the weights of the malicious characteristic behaviors, and establishing a malicious software detecting model bank according to the obtained detecting threshold value.

A method for preparing immune nanogold test paper used to quickly detect furazolidone includes synthesizing coupled matter of flurazolidone ¿C cattle seralbumin and coupled matter of flurazolidone ¿C catalase ; using coupled matter of flurazolidone ¿C cattle seralbumin as immune total antigen; making immune experiment on rabbit to obtain multiple clone antibody of rabbit resistance furazolidone; preparing nanogold reagent being used to label said antibody; fixing IgG antibody and coupled matter of furazolidone ¿C catalase on nitrocellulose film; sealing unreacted active group; using above ¿C prepared film, antibody and paper as well as sample pad to form said test paper.

The invention provides a five-axis numerical control machine tool space error detecting method based on a rotation tool center point (RTCP), and belongs to the technical field of numerical control machine tool detection. To solve the problems that a traditional space error detecting method generally can be used for only detecting a single-axis error in a single time, multiple times of detecting are needed, consequentially, the consumed time is long, the efficiency is low, and a five-axis linkage error fail to be reflected, according to the five-axis numerical control machine tool space error detecting method, based on the RTCP function of a five-axis numerical control machine tool, machine tool five motion axis detecting positions are established with the arranged rotation axis detecting positions as the reference by means of a space error transfer model, single errors of all axes are described as a polynomial function related to the positions of the axes, the polynomial coefficients of all errors are subjected to inverse solving through tool point detecting results, and finally, the whole machine tool work space errors are detected. By means of the five-axis numerical control machine tool space error detecting method based on the RTCP, the five-axis numerical control machine tool space error detecting efficiency is improved, the detecting process is simplified, the detecting cost is lowered, and meanwhile, the machine tool five-axis linkage precision can be reflected in the detecting process.

The invention discloses an electrically-excited double-salient-pole motor no-position speed-up method. The method comprises the steps: judging a section where a rotor is initially located according to the size relation of voltages of three-phase ends in a rising process of an exciting current when a motor is stationary; continuously transmitting a speed-up pulse and a detection pulse into an armature winding, and achieving the no-position speeding up of the motor. Compared with the prior art, the method does not need to transmit a detection current into the armature winding during initial position detection, and avoids the jittering and reverse rotation of the motor. Can the section where the rotor is located be judged only if one detection pulse needs to be injected in a speed-up process, thereby greatly shortening the detection time. Moreover, negative electromagnetic torque cannot be generated when the detection pulse does not reach a phase switching point, thereby facilitating the stable speeding up of the motor. In addition, the method does not need to add a hardware circuit, is not affected by the parameters of the motor, is good in transportability, and is easy to implement.