176results about How to "Recognition stability" patented technology

When authentication data of a person O to be authenticated is registered as dictionary data, this authentication data of the person to be authenticated is acquired and collated with the registered dictionary data. In accordance with the collation result, the dictionary data is updated.

A method for quickly identifying lanes-change condition of object vehicle includes utilizing machine vision and radar to collect horizontal and longitudinal distances, relative speed and the same lane possibility between object vehicle and local vehicle, making comparison and quantization on said data collected each time, making compensation and tracking prediction on relevant data, calculating confidence of each vehicle by using two layers of neural network training to obtain object vehicle weight and setting object vehicle to be dangerous object once calculated confidence coefficient is over confidence threshold.

The invention discloses a bone age mark identification assessment method and system based on deep learning and image omics. The bone age mark identification method includes the steps: performing preprocessing of window adjusting, alignment and standardization on the wrist bone image; using a bounding box to mark the bone age characteristic areas and mark the coordinates, wherein the bone age characteristic areas include a metacarphphalangeal group and a brachidium group according with a TW3 method; according to the requirement, performing augmentation processing, and inputting the wrist bone image data to a convolutional neural network of the area based on ResNet-101 to perform multi-task (positioning, classification and assessment) training at the same time; and based on the bone age characteristic areas, combining with the clinic information (demographic characteristics and inspection reports) to further train and improve the bone age assessment speed and accuracy. The bone age markidentification assessment method and system based on deep learning and image omics firstly utilize a small number of marked samples to perform preliminary training on the bone age model, and utilize the model with relatively higher positioning detection accuracy to automatically mark a large number of samples so as to realize automatic positioning, classification and bone age assessment of the bone age characteristic areas.

A lane marker recognition method comprises the steps of inputting an image including a lane marker, extracting luminance change points in the image, and estimating the position of the lane marker using the extracted edge points. The edge extracting step includes calculating an angle of orientation of each of the edges and the lane marker position estimating step includes extracting edge points that are oriented toward a vanishing point of a road, from among the edge points extracted in the edge extracting step.

The invention belongs to the technical field of autonomous running and visual perception, particularly relates to a multi-camera visual perception system for a UGV (Unmanned Ground Vehicle) and aims to solve the problems of single perception algorithm, poor real-time performance, poor system expandability, inconvenience in debugging, limitation to the view field control and the like of an image processing system of the existing UGV and autonomous mobile robot. The system comprises a plurality of vehicle-mounted image processing industrial personal computers and one or a plurality of debugging monitoring computers, wherein each vehicle-mounted image processing industrial personal computer is connected with three cameras; one or a plurality of debugging monitoring computers are used for controlling the vehicle-mounted image processing industrial personal computers by a wireless router; and a control mode can be a redundancy control mode and also can be a respective control mode. In the system, an optimized visual perception method on the basis of multiple threads is adopted; and threads comprise a multi-camera video acquisition thread, a lane line perception thread, a barrier, cone bucket and signal lamp perception thread and the like. Compared with a conventional single-thread visual perception method, the optimized visual perception method on the basis of the multiple threads has higher real-time performance, stability and expandability.

A community access control system based on face recognition is characterized by comprising a face information database, an image acquisition module, a face detection module and a face recognition module. The face information database is used for storing face images and feature data of permanent residents in a community. The image acquisition module is used for acquiring face video information of the residents and obtaining face pictures from the face video information. The face detection module conducts preprocessing on the face pictures to obtain a face image sequence. The face recognition module conducts facial feature extraction on the face image sequence of the face detection module, obtains face feature data, matches the face feature data with the feature data in a face feature database, and outputs matching results. According to the community access control system based on the face recognition, a face recognition software system is divided into three mutually independent modules, namely the face detection module, the face recognition module and the face information database, so that the face recognition software system is stable in recognition and high in running speed. Meanwhile, through preprocessing of collected image information, the overall community access control system can overcome the influence of illumination variation, and therefore quite high recognition can be realized no matter in what kind of light environment.

A method and a device for recognizing a pedestrian and a vehicle supporting the same are provided. The method includes collecting, by a controller, a far-infrared image using a far-infrared imaging device and detecting a pedestrian candidate group from the far-infrared image. In addition, the method includes extracting, by the controller, pedestrian features based on previously normalized pedestrian database (DB) learning and comparing the pedestrian features with the pedestrian DB learning results to determine similarity. The controller is configured to perform pedestrian recognition based on the comparison result.

A reader antenna includes dipole antennas, the dipole antennas including: a horizontal dipole antenna having the characteristic of horizontal polarization; and a dipole antenna perpendicular to the horizontal dipole antenna and including a vertical dipole antenna having the characteristic of vertical polarization, wherein the horizontal dipole antenna and the vertical dipole antenna may both have the characteristic of circular polarization. The reader antenna can be easily stored in an electronic shelf because it is realized in an ultrathin structure using a single-layered dielectric substrate.

An electronic device is disclosed. The electronic device comprises: multiple microphones for receiving audio signals generated by multiple sound sources; a communication unit for communicating with a voice recognition server; and a processor for determining the direction in which each of the multiple sound sources is located with reference to the electronic device, on the basis of the multiple audio signals received through the multiple microphones, determining at least one target sound source among the multiple sound sources on the basis of the duration of the determined direction of each of the sound sources, and controlling the communication unit such that the communication unit transmits, to the voice recognition server, an audio signal of a target sound source from which a predetermined voice is generated among the at least one target sound source.

The invention relates to a method for automatically detecting a pre-defined image pattern in an original picture, wherein pixel data from said original picture are looked through by means of a processing step, including at least one transform, to find said pre-defined image pattern, wherein according to the invention said processing is split up into at least two stages, wherein a first stage with a coarse processing is to detect locations in the original picture imposing an increased likelihood that the pre-defined image pattern, can be found there, and wherein a second stage with a refined processing is applied to the locations to identify the pre-defined image pattern.

The invention discloses a technology for identifying and tracking a human eye. The technology comprises the following steps: a. initiating an iris spatial position acquisition module; b. under visible lights, a single camera acquiring images of a human face or human eye; c. applying a human face or human eye calibration method to process image information acquired under visible lights, obtaining image coordinates of feature points of the human face or human eye that includes an iris center; d. using the single camera to reconstruct the iris center spatial position; e. obtaining a human eye iris center spatial position which including spatial position information of the human eye with respect to a display.

The invention discloses a pumping unit indicator diagram identification method based on an ART2. By collecting load and suspension center displacement signals of a pumping unit, a closed curve formed along with time changes in a pumping period is drawn with polished rod displacement signals serving as an x-coordinate and loading signals serving as a y-coordinate, and a pumping unit indicator diagram sample is obtained. If the category of the pumping unit indicator diagram sample is known, the pumping unit indicator diagram sample is identified through a mode with a supervision module. If the sample category of the pumping unit indicator diagram sample is unknown in advance, the pumping unit indicator diagram sample is identified through a mode without the supervision module. The pumping unit indicator diagram sample is identified through an ART2 neural network, according to an identification result, fault diagnosis and underground work condition judgment are performed on the pumping unit, and a judgment result is displayed. The pumping unit indicator diagram identification method based on the ART2 has the advantages of performing fault diagnosis and underground work condition judgment on the pumping unit, identifying the indicator diagram stably, efficiently and accurately, and the like.

Provided is a system of voice recognition that adapts and stores a voice of a speaker for each feature to each of a basic voice model and new independent multi models and provides stable real-time voice recognition through voice recognition using a multi adaptive model.A method of multi model adaptation according to the exemplary embodiment of the present invention includes: selecting any one model designated by a speaker; extracting a feature vector used in a voice model from an inputted voice of the speaker; adapting the extracted feature vector by using a predetermined pronunciation information model and a predetermined basic voice model and thereafter, storing the corresponding feature vector in a model designated by the speaker among the plurality of models, and setting a flag indicating whether adaptation is executed; extracting a feature vector from a voice which the speaker inputs for voice recognition; selecting only models in which adaptation is executed by reading flags set in multi adaptive models; calculating similarity of adaptive values by sequentially comparing the models selected by reading the flags with the feature vectors extracted from the inputted voices of the speakers; and selecting one model having the maximum similarity and executing voice recognition through decoding when similarity calculation for all the selected models is completed.

The invention relates to a radiation source identification method and device based on bispectrum three-dimensional image texture features. The method comprises the following steps: acquiring sample data of different radiation source signals and calculating bispectrum of signals to obtain bispectrum three-dimensional images; for bispectral three-dimensional images, extracting texture features by agray level co-occurrence matrix; for texture features, using a support vector machine to classify and identify the emitter. The invention avoids the problems of high characteristic dimension and lossof integral bispectrum part classification information and the like existing in adopting bispectrum alone. The steady-state signal RF fingerprint in individual identification of an emitter is extracted, sample information is fully utilized, the efficiency, application range and robustness of classifier training and recognition are effectively improved, and the advantages under different conditionssuch as noise immunity, small sample size, multi-target, and universality of different modulation modes are exhibited. The effectiveness of the classifier in the actual electromagnetic environment isverified by the actual radio signal, and the method and the device have important research values in improving the efficiency and robustness of classifier.

An apparatus and method of recognizing a position and direction of a mobile robot includes obtaining absolute coordinates at a current position of the mobile robot and relative coordinates for a moving displacement of the mobile robot. Therefore, the position and direction of the mobile robot are recognized by reflecting the relative coordinates on the absolute coordinates. Accordingly, the present invention operates odometry and RFID coordinate systems in combination with each other, thus obtaining a high sampling rate by the odometry coordinate system while restricting an error range within a predetermined level by the RFID coordinate system.

The invention discloses a vision-based AGV navigation method. The vision-based AGV navigation method comprises the steps of: installing a vision system on an automated guided vehicle, adhering guiding lines and parking signs on the ground, acquiring an image in real time, setting a square region composed of a plurality of sub-images in the region, calculating to obtain target exposure and gray scale gradient variation, acquiring edge pixels according to the gradient variation, removing stains and carrying out data processing to obtain a guide line equation, acquiring straight-line slopes and intercepts of edges on both sides of the guide lines according to the guide line equation, and controlling the automated guided vehicle to move to complete parking. The vision-based AGV navigation method obtains the most precise guide line equation through removing the stains and traversing the edge pixels, solve the problems that the guide lines cannot be recognized or recognition accuracy of the guide lines is low in the prior art, and achieves accurate navigation operation of the automated guided vehicle.

The present invention discloses a speech spectrum fusion feature-based mobile phone source identification method. According to the method, fast Fourier transformation is performed on each frame in each speech sample in a speech library corresponding to each mobile phone, so that the amplitude of the frequency value of each frequency point of first J / 2+1 frequency points of each frame is obtained; the statistical average information amount features, statistical average logarithmic spectrum features and statistical average phase spectrum features of each speech sample are obtained according to the amplitudes of the frequency values and are adopted to form spectrum fusion features; the spectrum fusion features of all the speech samples corresponding to all the mobile phones are combined to form a spectrum fusion feature matrix; normalization and feature selection are performed on the spectrum fusion feature matrix, so that an optimal feature matrix can be obtained, namely, the final spectrum fusion features of each speech sample are obtained; and model training and test sample identification are performed on the final spectrum fusion features of all the speech samples. The method has the advantages of high identification accuracy, high stability and strong generalization ability.

The invention relates to a structure characteristic-based character recognition method. In order to solve defects in the prior art, the technical scheme of the invention comprises the following steps: 1, a serial number area is positioned on an RMB gray scale image, a gray scale image for the serial number is acquired, and tilt correction is carried out; 2, pretreatment is carried out on the gray scale image after tilt correction, a binarization threshold is determined according to a brightness histogram of a target image, binarization processing is carried out on the target image, and a binarization image is acquired; 3, connected component labeling is carried out on the binarization image, and a binarization image of a single character is extracted according to a labeling result; and 4, finally, according to character structure features, the binarization image of the single character is recognized.

A speech recognition apparatus, method and computer program product whereby noise is subtracted from an input speech signal by a plurality of spectral subtractions having differing rates of noise subtraction to produce plural noise-subtracted signals, at least one speech features is extracted from the noise-subtracted signals, and the extracted feature is compared with a standard speech pattern obtained beforehand to recognize the speech signal based on a result of the comparison. In addition, features can be extracted from at least one of the noise-subtracted signals and also the input speech signal for comparison with the standard speech pattern. Plural features can be combined into a single feature for the comparison.

The invention relates to a trace pesticide residue surface enhanced Raman spectrum detection method based on a nucleic acid aptamer, and belongs to the field of pesticide detection. The invention uses Raman active dye labeled gold nanoparticles as substrates, and uses the specific binding of pesticide and the aptamer binding to cause aggregation difference of reactive dye labeled gold nanoparticles in salt solution; a corresponding reactive dye SERS spectrum is obtained by a portable Raman spectrometer, so as to realize the quantitative detection of trace pesticide; and feasibility testing of the method is carried out in an actual tea sample. The method provided by the invention converts a conventional thinking of using the Raman characteristic peak of a target object to be detected as quantification determination in the traditional Raman technology into using the Raman characteristic peak of the reactive dye marker as the quantitative standard for target detection, so as to not only improve the detection sensitivity, simplify the preparation process of complex substrate, and provide convenience for research, inspection and supervision of trace pesticide residues in the fields of food industry.

The invention discloses a method for identifying a structure distributed dynamic load based on multi-source uncertainty. According to the method, the structural uncertainty parameters of a structure are considered, and based on a load identification method in a time domain, combined with an orthogonal polynomial and a TIAM algorithm, the distributed dynamic load of the structure is identified. Themethod comprises a step of establishing a distributed dynamic load identification model of a deterministic structure based on the time domain method and approximating a dynamic distributed load by the orthogonal polynomial, a step of quantitatively describing the uncertainty parameter of the structure by an interval, converting a dynamic load identification problem of the structure into two kindsof deterministic problems by using the TIAM algorithm, and finally obtaining upper and lower bounds of the dynamic load borne by the uncertainty structure.

The present invention provides a fluid bearing device and a method for inspecting the amount of working fluid. In a fluid bearing device with a cover plate (5) covering a shaft sleeve (2), it can be easily confirmed that the working fluid is well filled in the cover plate and the shaft sleeve. between them, and it can be easily confirmed that the adhesive bonding the cover plate and the bushing is well filled. A translucent material is used as the cover plate, and the filling state of the working fluid can be easily confirmed visually or by an imaging member through the cover plate.

A speech recognition apparatus, includes a reliability estimating unit configured to estimate reliability of a time-frequency segment from an input voice signal; and a reliability reflecting unit configured to reflect the reliability of the time-frequency segment to a normalized cepstrum feature vector extracted from the input speech signal and a cepstrum average vector included for each state of an HMM in decoding. Further, the speech recognition apparatus includes a cepstrum transforming unit configured to transform the cepstrum feature vector and the average vector through a discrete cosine transformation matrix and calculate a transformed cepstrum vector. Furthermore, the speech recognition apparatus includes an output probability calculating unit configured to calculate an output probability value of time-frequency segments of the input speech signal by applying the transformed cepstrum vector to the cepstrum feature vector and the average vector.

An information input apparatus includes an observation unit that observes an environment including a user and one or more apparatuses to be controlled and includes a sensor; a learning unit that separates a foreground including the user and the one or more apparatuses to be controlled and a background including the environment except for the foreground from observation data obtained by the observation unit and learns three-dimensional models of the foreground and the background; a state estimation unit that estimates positions and postures of already modeled foregrounds in the environment; a user recognition unit that identifies fingers of the user from the foreground and recognizes a shape, position, and posture of the fingers; and an apparatus control unit that outputs a control command to the one or more apparatuses to be controlled on the basis of the recognized shape, position, and posture of the fingers.

There is provided an identification device capable of accurately, rapidly, and easily identifying a hydrocarbon-based liquid and alcohol-based liquid. An identification sensor unit (2) is arranged to face a flow passage (20) of a liquid to be measured and includes a liquid type detection unit with indirect heating (21) having a heating body and a temperature-sensitive body, and a liquid temperature detecting unit (22) for detecting the temperature of the liquid to be measured. The identification device further includes an identification calculation unit for applying a single pulse voltage to the heating body of the liquid type detection unit (21) so as to generate heat and identifying the liquid to be measured according to an output of a liquid type detection circuit formed by the temperature-sensitive body of the liquid type detecting unit (21) and the liquid temperature detection unit. The identification calculation unit identifies the liquid to be measured according to a liquid-type-corresponding first voltage value corresponding to a difference between the initial temperature of the temperature-sensitive body when the heating body generates heat and a first temperature at the moment when the a first time has elapsed from the start of application of the single pulse and a liquid-type-corresponding second voltage value corresponding to a difference between the initial temperature of the temperature-sensitive body and a second temperature at the moment when a second time longer than the first time has elapsed from the start of application of the single pulse.

The invention discloses a point-like distribution cooperation coding sign and an identification and positioning method. The coding sign comprises at least 6 circular sign points. The sign points comprise mark points A, B, C and O. A positioning point comprises a positioning point D. Other sign points are coding points. The mark points A, B, C, and O are located at the four vertex angles of a square respectively, and the mark point A and the positioning point D are located at the same diagonal line of the square. The mark point O is located at the extension line of a connection line between themark point A and the positioning point D, and the original point of a coding sign design coordinate system is defined as the mark point O. The X axis and the Y axis of the coding sign design coordinate system are parallel to the sides of the square. Each coding point is distributed near the X axis and the Y axis, and the coding points at different positions correspond to unique coding character values. The coding character values corresponding to each coding point form a unique coding value. In the invention, a rich number of unique coding signs can be realized, and a recognition algorithm issimple and fast, and the coding sign is positioned accurately.

A sheet paper identification apparatus and method for stably identifying a sheet paper while preventing erroneous identification caused by dust adhered to an imaging section and caused by fluctuation in illumination brightness. An imaging section (7) images the interior of the imaging section (7) before a sheet paper is fed to capture image data on an image showing no sheet paper. When a sheet paper is fed into the imaging section (7), the imaging section (7) images the sheet paper and captures image data on an image showing a sheet paper. An image data analyzing section (8) creates a density histogram of the image showing no sheet paper from the image data on the image showing no sheet paper and detects dust adhered to the imaging section (7) on the basis of the density histogram. If the amount of particles exceeds a reference value, the image data analyzing section (8) sends a report about the abnormality of the imaging section (7) to a control section (2). The image data analyzing section (8) creates a density histogram of the image showing a sheet paper from the image data on the image showing a sheet paper, determines brightness of the image on the basis of the density histogram, and adjusts imaging operations of the imaging section (7) according to the determination.

The invention discloses an auto-authentication method of a secret-related drawing. By utilizing the characteristics of large information quantity, high security and strong anti-interference performance of a two-dimensional bar code, the relevant information of the secret-related drawing is stored in the two-dimensional bar code after compression and encryption and put on the drawing; and when a drawing file is intercepted, the two-dimensional bar code in the drawing is automatically detected by image processing techniques, and whether the code is secret-related information is judged after demangling. The method comprises the detailed steps of the manufacture of the two-dimensional bar code; the detection of the two-dimensional bar code; the binaryzation of the two-dimensional bar code; fast inverse perspective transformation; secret-related information authentication and the like. The method effectively solves the auto-authentication problem of the secret-related drawing and can complete the authentication to the secret-related drawing quickly and reliably.