398results about How to "Improve the detection rate" patented technology

A system and method for detecting defective pixels in a sensor. A plurality of pixel values of the sensor may be detected. The values may include those of a first pixel and each nearest neighboring pixel to the first pixel. A second pixel may have the highest value of the neighboring pixels. A third pixel may have the next highest value of the neighboring pixels. A first function may be performed on the second pixel value, producing a first output value. A second function may be performed on the third pixel value, producing a second output value. If the first pixel value is higher than the first output value, or, if the first pixel value is higher than the second output value and the second pixel value is higher than the second output value, it may be determined that the first pixel is defective.

The invention discloses a colloidal gold immunochromatography device for combined detection of a novel coronavirus COVID-19 antigen and antibody and a use method thereof. Through simultaneously detecting a novel coronavirus COVID-19 antigen and a specific IgM antibody and IgG antibody thereof, the immunology reaction state of the organism can be accurately judged, so that an accurate detection result is given according to the detection result, the detection rate of the new coronavirus is improved, a false negative result is avoided, missing detection is prevented, the detection accuracy is further improved, and help is provided for clinical diagnosis and treatment of the new coronavirus pneumonia. The colloidal gold immunochromatography device is high in specificity, high in detection speed and easy and convenient to operate, does not need special equipment or operation of professionals, and can be applied to preliminary screening of various places such as communities, primary hospitals, airports, customs and even families.

The invention relates to a mobile phone casing defect detecting method based on depth learning. The method comprises the steps that (1) the image of a mobile phone casing to be detected is acquired and pre-processed; and (2) the pre-processed image is input into a pre-trained defect detection model for defect detecting to acquire the position of a defect on the mobile phone casing, and the confidence of the position as the defect is provided. The defect detection model is a depth network based on depth learning, and comprises a feature extraction network and a classifier and regression device network, wherein the feature extraction network and the classifier and regression device network are in successive cascade. The feature extraction network carries out feature extraction on the pre-processed image to acquire a feature image. The classifier and regression device network classifies and regresses the feature image to acquire the defect position and the confidence of the mobile phone casing. Compared with the prior art, the method provided by the invention has the advantages of high detection precision and accurate and reliable detection result.

The invention provides a WebShell detection method and system. The system comprises a log auditing module, a local detection module, a remote detection module and a result output module. The system executes the following processing flow: A, collecting a server access log, and analyzing a URL (Uniform Resource Locator) with suspicious access behaviors; B, performing local detection and remote detection on the analyzed URL with suspicious access behaviors in combination with a WebShell feature library; C, and performing judgment according to the detection, reporting a WebShell path if WebShell is found, and meanwhile adding the path identified as WebShell into a WebShell path library. Through adoption of the method and the system, the detection rate and detection efficiency of WebShell detection in network Web application are increased, and the missing report rate and false report rate are lowered.

An object detecting apparatus and an operating method thereof are disclosed. An apparatus for detecting an object includes: a sensor unit including a light distance and ranging (LiDAR) sensor for collecting LiDAR data and a camera sensor for collecting image data; an area dividing unit configured to divide a common detection area of the LiDAR sensor and the camera sensor into a plurality of areas; a data analyzing unit configured to analyze the LiDAR data to extract a first object information and/or analyze the image data to extract a second object information; and a sensor signal converging unit configured to determine whether a dangerous object exists for each of the divided areas based on the first object information and/or the second object information.

The thermoelectric detector comprises an infrared absorber pixel structure supported by two electrically connected beams made of a thermoelectric material. One end of the thermoelectric beam connects to the infrared absorber pixel structure; the other end connects to the substrate. The detector comprises a microlens for collecting and focusing infrared radiation on the detector. Infrared radiation is incident on the infrared absorber pixel structure results in a temperature gradient along the length of the thermoelectric legs, and generating an electrical voltage proportional to the gradient. A low noise SIGe BiCMOS readout integrated circuit is coupled to the detector to provide a background limited detector having improved detectivity.

The invention discloses a flexible display device which comprises a display area and a non-display area encircling the display area, a first flexible substrate, an inorganic layer arranged on the first flexible substrate, and grounding wires arranged on the inorganic layer, wherein the grounding wires are arranged in the non-display area and form a detection circuit; at least two grounding wires are arranged in the non-display area on the same side of the display area at least; the at least two grounding wires comprise at least one first grounding wire and at least one second grounding wire; the inorganic layer is provided with a groove; the first grounding wire is arranged in the groove; the second grounding wire is arranged on the surface of the inorganic layer. According to the flexible display device disclosed by the invention, crack positions can be judged by the detection circuit, whether the cracks exist on the inorganic layer and on the first flexible substrate can be judged, and the detection rate of risk products is improved; meanwhile, since the first grounding wire is positioned in the groove, and the second grounding wire is positioned on the surface of the inorganic layer, the horizontal distance among the various grounding wires can be reduced, and the narrow bezel design of the flexible display device is promoted.

The present invention provides a system and method to enhance speech intelligibility and improve the detection rate of automatic speech recognizer in noisy environments. The present invention reduces an acoustically coupled loudspeaker signal from a plurality of microphone signals to enhance a near end user speech signal. A decision unit checks a system configuration parameter to determine if the cleaned speech is intended for human communication and/or Automatic Speech Recognition (ASR). A formant emphasis filer and a spectrum band reconstruction unit are used to further enhance the speech quality and improve the ASR recognition rate. The present invention can also apply to devices which has a foreground microphone(s) and a background microphone(s).

The invention discloses an ultrasonic inspecting and scanning device of a welding line, comprising a main frame, an idler wheel mechanism and a scanning mechanism, wherein the idler wheel mechanism is connected with the main frame, the scanning mechanism is arranged on the main frame and comprises a slanting scanning mechanism, and the slanting scanning mechanism is provided with a slanting scanning arm which is configured aslant relatively to a welding line to be inspected. The main frame is rectangular, and four edges of the main frame are all provided with guide rails; the slanting scanning mechanism comprises two slanting scanning brackets, a slanting guide rail and two slanting scanning arms, wherein the slanting guide rail is connected between two slanting scanning brackets, and the slanting scanning arms are arranged on the slanting guide rails; one slanting scanning bracket is straddled on two guide rails of two adjacent edges of the main frame, and the other slanting scanning bracket is straddled on two guide rails of other two adjacent edges. The ultrasonic inspecting and scanning device of a welding line, which is provided by the invention, can effectively solve the problem of missed detection of horizontal defects, enlarge defect detection range, realize overall scanning of the welding line and reduce potential safety hazard.

The invention discloses a fluorescence immunochromatography device for detecting a novel coronavirus COVID-19 and a using method of the fluorescence immunochromatography device. The fluorescence immunochromatography device disclosed by the invention is high in sensitivity and strong in specificity, the accuracy is high, the detection sensitivity can reach 10pg/ml, the detection speed is high, theoperation is simple, the device is portable, the requirement for personnel is low, the operation of professionals is not needed, the detection cost is low, the device can be applied to preliminary screening of various places such as hospitals, airports, customs and disease control centers, the detection time (10-15 min) is short, a simpler, more convenient and faster field detection means is provided for suspected patient investigation and asymptomatic infected person screening, and therefore epidemic spreading is prevented as soon as possible.

An underground water supply network water leakage detecting method utilizes a multi-probe dependence tester, and probes of the tester are installed on a pipe network to collect the sound wave data. The method comprises the following steps: a. the probes are installed a pipe network valve, a hydrant or a water meter at internals, and the probes are closely contacted with the pipe network valve, the hydrant or the water meter; b. the sound wave data is collected; c. whether water leakage fault occurs is judged by analyzing the data. By utilizing function relevant principle, the method can calculate the position of water leakage point just by collecting the sound wave data at two points, thus having high locating efficiency; regional water leakage general investigation can be completed by testing for once, the data is easy to store, and the accident analysis can be conveniently carried out; as the data can be automatically collected, recorded and processed, the working intensity and anthropogenic influence can be greatly reduced.

The invention discloses a novel coronavirus detection kit. The kit comprises a qRT-PCR reaction liquid, a qRT-PCR enzyme liquid, an internal standard, a negative quality control substance and a positive quality control substance, wherein the internal standard is an RNA pseudovirus containing an internal reference detection gene fragment; the positive quality control substance is an RNA pseudoviruscontaining a target detection gene fragment; and the qRT-PCR reaction liquid comprises four groups of upstream and downstream primers with sequences of SEQ ID NO:1-8 and four probes with sequences ofSEQ ID NO:9-12. The kit can be used to simultaneously detect three sections of target gene fragments, so that missed detection can be effectively avoided. In addition, pseudoviruses are used in boththe internal standard and the positive quality control substance of the kit, so that safety of the kit is effectively improved, and detection accuracy of the kit is further ensured. The kit is high sensitivity and good in stability.

The invention provides a method and a device for online detection of foreign fiber in cotton. The device comprises a cotton opener, channels, windows, a CCD (Charge Coupled Device) camera, an illumination light source, a background plate, a nozzle array, a foreign fiber channel, a foreign fiber collecting unit, a computer, an electrical equipment cabinet, operating buttons, a frequency conversionfan and a cotton conveyance pipe. The method comprises the following steps: opening lint cotton; feeding the lint cotton into the detection area of the CCD camera through the channels; performing theillumination and CCD camera sampling in three steps, and further collecting the detection results of the three steps for identifying the foreign fiber; calculating the time for nozzles in the corresponding positions to the foreign fiber to open and close by combining the action delay time of each nozzle; controlling the corresponding nozzles to operate, so as to remove the foreign fiber; and meanwhile, outputting clean cotton with the foreign fiber being removed from the clean cotton output channel, wherein, by combining the performance parameters of the CCD camera, the cotton flow rate in the corresponding area of each nozzle can be calculated from the data obtained through infrared LED illumination and sampling, and the average cotton flow rate can be further calculated; and then, the cotton flow rate in the channels can be stabilized within a per-determined range by controlling the frequency conversion fan.

A method and system of irradiating a liquid-carrying container for inspection, including rotating the container, its contents or both around a rotation axis and irradiating the container with an electromagnetic radiation beam, wherein the irradiated cross-section of the container, irradiated by the electromagnetic radiation beam, is less than the cross-section of the container; and, a method and system for inspecting a liquid-carrying container for one or more test parameters of the container, the contents of the container, or both, including rotating the container, the contents or both around a rotation axis, irradiating the container with an electromagnetic radiation beam from a first direction along an irradiation center plane substantially parallel to the rotation axis, capturing a representation of a section of the container from a second direction along a detection center plane substantially parallel to the rotation axis, and processing the representation, wherein the irradiated cross-section of the container, irradiated by the electromagnetic radiation beam, is less than the cross-section of the container.

The invention provides an intelligent luggage and postal article detection system which comprises an intelligent detection area, an intelligent identification area and a manual inspection area, wherein the intelligent detection area, the intelligent identification area and the manual inspection area form a safety check area. The intelligent detection area, the intelligent identification area and the manual inspection area are arranged in three different areas respectively. The intelligent detection area is provided with a transmission device, an X-ray image acquisition device, an X-ray image automatic comparison and identification device and a labeling device; the intelligent identification area is provided with a label identification device; the transmission device is used for transmitting luggage and postal articles to be detected; the X-ray image acquisition device is used for obtaining X-ray images of the luggage and postal articles; the X-ray image automatic comparison and identification device is used for carrying out automatic comparison and analysis on the obtained X-ray images of the luggage and postal articles and X-ray images in a database to judge whether the obtained X-ray images of the luggage and postal articles have forbidden articles; the labeling device is used for attaching electronic labels to the luggage and postal articles having the forbidden articles; and the label identification device is used for automatically identifying the luggage and postal articles having the electronic labels.

The invention provides an air door closing in-place detecting device and a refrigerating plant. The air door closing in-place detecting device comprises a detecting element, a detecting circuit and a controlling element. The detecting element is mounted on an air door and is used for detecting the air door and determining whether the air door is closed in place or not; the detecting circuit is connected with the detecting element and transmits control signals according to detection results of the detecting element; the controlling element receives the control signals outputted by the detecting circuit and controls actions of the air door according to the received control signals. The air door closing in-place detecting device and the refrigerating plant have the advantages that the air door closing in-place detecting device is provided with the detecting element, the detecting circuit and the controlling element, so that the detection rate of anomaly of the air door can be effectively increased, refrigerating equipment such as a refrigerator can be in the designed allowable optimal working state, and the reliability of a product can be effectively improved.

This invention discloses one infrared detector structure and process method based on micro mechanic bridge resonance device, wherein the detector is composed of bridge resonance chip and cover board through vacuum sealing technique or gas sealing technique; the incidence infrared line is to micro mechanic bridge surface through infrared incidence window to lead the bridge temperature rise and to add axis stress force and to lower resonance frequency to reflect incidence infrared strength.

The invention discloses a table type on-line detector for X-ray scanning initial separation/ ion migration spectrum explosive. The X-ray detector adopts a dual-view dual-energy security detector, and uses X-rays of two angles and two energies to scan so as to improve the definition of images and benefit the identification of dangerous goods. The ion migration spectrum adopts a composite array type ion migration spectrum instrument which combines at least two ionization modes of positive and negative ion detection modes are combined, broadens the compound category detected by the ion migrationspectrum and greatly improve the quick identification and resolving capacities of the ion migration spectrum on samples at the same time. The X-ray detector capable of quickly scanning luggage and the ion migration spectrum capable of accurately detecting suspected objects are combined so as to shorten the luggage detection speed and improve the detection accuracy of the dangerous goods.

The invention discloses a gamma-ray energy spectrum analysis method based on the approximation coefficient and deep learning. The gamma-ray energy spectrum analysis method comprises following steps of modeling a gamma-ray detector by means of a monte carlo method, and simulating an interested nuclide energy spectrum to obtain a simulated energy spectrum; measuring the energy spectrum by the gamma-ray detector, carrying out smoothing processing on the energy spectrum, carrying out background rejection according to the time scale, and obtaining a pure count spectrum; extracting the approximation coefficient of the simulated energy spectrum by means of a wavelet decomposition method, carrying out normalization processing on the approximation coefficient of the simulated energy spectrum, extracting the approximation coefficient of the pure count spectrum by means of the wavelet decomposition method, and carrying out normalization processing on the approximation coefficient of the pure count spectrum; and taking the approximation coefficient of the simulated energy spectrum as a training sample of a deep learning network in order to predict the nuclide composition in the power spectrum actually measured by the gamma-ray detector. According to the invention, by extracting the approximation coefficient of the simulated energy spectrum and training the deep learning network by means of the simulation sample, and employing the simulation sample to predict the nuclide composition of the actually measured energy spectrum, the energy spectrum nuclides can be identified quickly and stably.

The invention relates to a solid phase extraction column for separating different hydrocarbon components in diesel oil. The solid phase extraction column is composed of an upper solid phase extraction column and a lower solid phase extraction column that are communicated. The stationary phase of the upper solid phase extraction column is a mixture of silica gel and aluminum oxide, wherein the content of aluminum oxide is 1-40% by mass, the stationary phase of the lower solid phase extraction column is silver ion loaded silica gel subjected to water adding treatment, and on the basis of silica gel, the silver content of the stationary phase is 1-12% by mass, and the water content is 4-15% by mass. The column can be used for separation of olefin components in diesel oil, and can solve the problems of long time and low olefin recovery rate in separation of olefin from diesel oil.

The invention discloses a networking navigation radar target tracking system based on data fusion. The system comprises at least one radar front end, at least one radar terminal and an Ethernet. The radar front end and the radar terminal are in bidirectional data transmission through the Ethernet. The radar front end comprises an antenna, a transceiver, a data acquisition module, a signal preprocessor module and a control command processing module. The radar terminal comprises a display unit, a signal processing unit and a control unit. The transceiver generates radio-frequency pulses which are radiated to the space through an antenna. The system belongs to a trace point serial processing centralized data fusion structure, has the features of high fusion precision and small system time delay, and meanwhile, has the advantages of eliminating detection blind areas, improving detection probability and improving tracking performance. After the terminal carries out data fusion and comprehensive optimization processing on the data of the plurality of front ends, the problem of blind area of the single radar due to antenna erection location can be effectively solved, marine target detection and tracking accuracy performance is improved, and navigation safety is guaranteed.

The invention discloses a crossed combinational dual-period grating for quantum well infrared detector. By arranging two sizes of gates across, the invention responses to two wave bands and acquires the information of the two wave bands. The cross array makes a very good response uniformity of the new-type gates on the whole surface, and the two types of gates are distributed as the Chinese character 'pin', which makes the photolithography linewidth up to the maximum and thereby enhances the precision of photolithography patterns. The square gate hole is used to prevent astigmatism; the optimized parameter design enhances the coupling efficiency of the gates. The invention is applied to dual-color quantum well infrared detectors, is able to acquire the objective information more accurately in two wave bands simultaneously, more effectively inhibits the complicate background, and then enhances the detecting effect of objectives. The invention has the advantages of simple fabrication, low cost, and easy realization of mass and serial production.

The invention relates to a preparation method for probes related to breast cancer molecular markers and to preparation of a breast cancer fluorescence in situ hybridization detection kit by using the probes. The breast cancer fluorescence in situ hybridization detection kit can be prepared from HER2, TOP2A and AGTR1 gene probes prepared by using the method provided in the invention, human chromosome 17 counting probe, hybridization buffer, unlabelled competitive DNA and DAPI counter strain; application of the kit enables the detection rate of breast cancers to be substantially improved and type sorting of breast cancers to be more accurate and provides guidance to formulation of an individual therapeutic schedule and selection of proper therapeutic drugs, thereby lowering down mortality, reducing recurrence risk and achieving the goal of optimizing the effect of diagnosis and treatment.

The invention relates to an image text detecting method based on brand-new process design. The image text detecting method is wide in application and high in detection rate, and is no longer limited to standard font detection of white-ground black characters or black-ground white characters of scanned copies; by the method, characters on pictures can be detected from complex surroundings in different occasions such as photos, parade banners and handwritten characters; high work efficiency is realized.

The invention provides a method and device for dynamically detecting malicious webpage scripts. The method includes: S1, analyzing webpage scripts to be detected, and during analysis, if acquiring binary data generated by a function in internal memory through a function hook preliminarily hooked to the preset function for compiling a shell code, executing step S2; and S2, subjecting the binary data to disassembling detection, and if detecting a self-locating code during disassembling detection, confirming detection of the shell code. By loading the webpage scripts for dynamic analysis and detecting in the process of dynamic analysis, the method has improved reliability and detection rate as compared with the manner of static analysis. The shell code can be detected before script vulnerability is triggered, so that the method avoids crash of browser process as compared with the manner of externally monitoring the browser process.

A partial image is cut out from an input image. A first classifier judges whether the partial image includes a face facing a direction within a first angular range. Another classifier judges whether the partial image includes a face facing a direction within another angular range that partially overlaps with the first angular range. The partial image is judged to include a face facing a direction within a specific angular range, which is the first angular range from which the portion that overlaps with the other angular range has been removed, if the first classifier judges that the image includes a face facing a direction within the first angular range, and the other classifier judges that the image does not include a face facing the second angular range. Each classifier is generated by machine learning, and judges whether images include faces facing directions corresponding to predetermined angular ranges.

An over sampled image sensor in which the pixel size is small enough to provide spatial oversampling of the minimum blur size of the sensor optics is disclosed. Image processing to detect targets below the typical limit of 6× the temporal noise floor is also disclosed. The apparatus is useful in detecting dimmer targets and targets at a longer range from the sensors. The inventions exploits signal processing, which allows spatial temporal filtering of the superpixel image in such manner that the Noise Equivalent Power is reduced by a means of Superpixel Filtering and Pooling, which increases the sensitivity far beyond a non-oversampled imager. Overall visual acuity is improved due to the ability to detect dimmer targets, provide better resolution of low intensity targets, and improvements in false alarm rejection.

The duplex multichannel intelligent capsule wireless endoscope system includes intelligent capsule endoscope for digestive tract, and image recording and intelligent capsule controlling instrument. The present invention features the image recording and intelligent capsule controlling instrument with microprocessor connected to control keyboard and display screen or connected to PDA via RS232 or USB interface, radio transceiving module communicating with RF transceiving module in the intelligent capsule endoscope in duplex multichannel mode. The system can realize in-situ real-time image observation and real-time on the capsule endoscope and can operate in complicated environment without interference. Therefore, several systems may operate simultaneously to reduce the amount of the intelligent capsule workstations for flexible use; and stereo image may be realized to raise the disease focus detecting rate.

The present invention is one kind of reagent for quick immune histohcemical detection of lymphatic metastasis of mammary cancer and corresponding detecting method. Several kinds of directly marked antibody capable of distinguishing metastatic cancer cell and inherent lymph node cell are mixed into reagent and one-step reacted to stain the metastatic cancer cell in lymph node specifically. The present invention is used in the fast pathological diagnosis of early lymphatic metastasis of mammary cancer, and has raised sensitivity, high accuracy and high specificity.

The invention relates to a detection method of a leakage site position of an underground concrete continuous wall. The detection method comprises the following steps of: (1) uniformly distributing a plurality of observation wells outside the underground concrete continuous wall; (2) pumping water inside the underground concrete continuous wall, observing the variation conditions of water levels in the observation wells outside the underground concrete continuous wall, and setting the primarily determined leakage direction; (3) after the primary leakage direction is set, determining the primary horizontal position of a leakage site by feeding and checking a tracer outside and inside the continuous wall; and (4) after the primary horizontal position of the leakage site is obtained, carrying out the detection by using a geological radar and an in-well antenna to determine the vertical position and the scale of the leakage site. The detection method has the beneficial effects that 1. the construction process of pre-embedding a pipe inside the concrete continuous wall is eliminated, and the human cost and the material cost are reduced, thereby being simple, convenient and economical; and 2. the joint part of a seam of the concrete continuous wall with a slot base can be detected so that the detection rate of the leakage site can be greatly improved.