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47results about How to "Solve the technical problem of low recognition accuracy" patented technology

Multidimensional characteristic passenger re-identification method, device, storage medium and processor

The invention discloses a multidimensional characteristic passenger re-identification method, a device, a storage medium and a processor, wherein the method comprises the steps of establishing a firstconvolutional neural network model according to a preset multidimensional characteristic extracting method; training a first convolutional neural network model according to a preset public data set,and obtaining a second convolutional neural network model; training a model group which is composed of the second convolutional neural network model according to a preset ternary set data set, and obtaining a third convolutional neural network model, wherein the model group comprises three parallel second convolutional neural network models; inputting a target passenger image and a to-be-identified passenger image to a third convolutional neural network model, thereby obtaining a target passenger characteristic vector and a to-be-identified passenger characteristic vector; and calculating a vector distance between the target passenger characteristic vector and the to-be-identified passenger characteristic vector, and obtaining an identification result according to the vector distance. Themultidimensional characteristic passenger re-identification method, the device, the storage medium and the processor settle a technical problem of relatively low identification precision in the passenger re-identification mode in prior art.
Owner:珠海习悦信息技术有限公司

Article identification method and apparatus, and indoor map generation method and apparatus

The present invention provides an article identification method and apparatus, and an indoor map generation method and apparatus. The article identification method comprises the following steps of: conducting continuous grasping, updating and learning of information in an Internet webpage to establish an article feature database; and matching and identifying indoor articles based on the article feature database. The invention solves the technical problem of low article identification accuracy of the prior art and achieves the technical effect of effectively improving the article identification accuracy. In addition, the article identification method is used to generate an indoor map to locate the indoor articles, thereby improving the positioning accuracy.
Owner:苏州贝虎机器人有限公司

Image recognition method based on double attention

The invention discloses an image recognition method based on double attention. The method comprises the following steps of creating a double attention VLAD network model comprising a convolution layer, a spatial attention VLAD layer, a channel attention VLAD layer, a mixed error function and a full connection layer; inputting a to-be-identified image into a dual-attention VLAD network model to enable a convolution layer in the dual-attention VLAD network model to output a first feature map; inputting the first feature map into a spatial attention VLAD layer and a channel attention VLAD layer to obtain a first VLAD feature vector and a second VLAD feature vector respectively; carrying out feature fusion on the first VLAD feature vector and the second VLAD feature vector and then inputting the fused vectors into a full connection layer; and outputting a recognition result of the to-be-recognized image, thereby solving a technical problem that the recognition precision of a network modelis not high because the network model introduced with VLAD in the conventional neural network image recognition is liable to be interfered by low-quality image features.
Owner:GUANGDONG VTRON TECH CO LTD

Human-machine recognition method, device and system

The invention discloses a human-machine recognition method, device and system. The system includes a terminal and a server; the terminal is used for collecting user voiceprint information and behaviordata information; and the server is connected with the terminal and is used for recognizing the user voiceprint information and behavior data information uploaded by the terminal according to a pre-stored model, judging whether an operation object to which the user voiceprint information and behavior data information belongs is the same as a target object in the pre-stored model, and outputting acorresponding judgment result according to the type of the target object, wherein the judgment result may indicate that the operation object is a natural person or a robot. With the human-machine recognition method, device and system provided by the invention adopted, the technical problem of low accuracy of human-machine recognition due to defects existing in human-computer recognition in the prior art can be solved.
Owner:ALIBABA GRP HLDG LTD

Face recognition method, mobile terminal and computer readable storage medium

The invention discloses a face recognition method, a mobile terminal and a computer readable storage medium. The face recognition method comprises the following steps that: when a terminal detects a face recognition unlocking instruction, according to a preset camera, obtaining a face image input by a user on a preset prompt expression, and prompting the user by the terminal to input the preset expression through voice, wherein the preset prompt expression is extracted from a preset expression image; extracting face characteristics from the face image by the terminal, and extracting glasses characteristics in the face image; carrying out matching analysis on the face characteristics, the glasses characteristics and a preset standard characteristic by the terminal to obtain a first similarity; and when the terminal detects that the first similarity is greater than a first threshold value, executing a terminal unlocking function. The glasses characteristics are compared and matched, so that the user still can obtain a high face recognition success rate even if the user wears the glasses so as to improve the face recognition efficiency of the terminal to improve user experience.
Owner:浙江水科文化集团有限公司

A training method and device for identifying a model

The invention provides a training method and device for identifying a model, wherein, the method comprises the following steps: acquiring a first training set and a second training set; based on the first training set, training the ANN model through a plurality of iterative processes to obtain a plurality of trained ANN models; determining a test accuracy rate of each trained ANN model by the second training set, wherein the test accuracy rate is an average accuracy rate of all characters tested by the ANN model; according to the test accuracy of each ANN model after training, selecting the model with the highest accuracy as the global optimal recognition model. Since the scheme sets up a training set for training, and a training set for determining the accuracy rate, and the model with the highest accuracy rate is finally selected as the most final model, thus solving the technical problem that the recognition accuracy rate of the existing trained recognition model is low, and achieving the technical effect of effectively improving the recognition rate of the recognition model obtained by training.
Owner:北京君正集成电路股份有限公司

Driving reminding method, device and equipment based on deep learning and storage medium

The invention discloses a driving reminding method, device and equipment based on deep learning and a storage medium. The driving reminding method based on deep learning comprises the steps that a monitoring video aiming at a vehicle driver is acquired in real time to obtain image data of the monitoring video; the image data is input into a preset three-dimensional convolutional neural network model as input data to judge whether a hidden danger behavior exists in the vehicle driver or not; and if the vehicle driver has the hidden danger behavior, preset reminding information is output to remind the driver. The driving reminding method solves the technical problems that in the prior art, the dangerous driving action behavior of the vehicle driver is more, the probability of accidental traffic is easily increased, and the driving safety experience is influenced.
Owner:CHINA PING AN PROPERTY INSURANCE CO LTD

Identity recognition method, device and system

The invention discloses an identity recognition method, device and system. The method comprises: acquiring voiceprint features and a first timestamp of a target object, wherein the first timestamp isused for representing the time when the voiceprint features are acquired; obtaining a pre-stored voiceprint feature successfully matched with the voiceprint feature and a second timestamp from a voiceprint library, the second timestamp being used for representing the time when the pre-stored voiceprint feature is obtained; determining a similarity threshold based on the first timestamp and the second timestamp; and obtaining a recognition result of the target object based on the similarity threshold and the similarity between the voiceprint features and the pre-stored voiceprint features. According to the invention, the technical problem of low identification accuracy of an identity identification method in the prior art is solved.
Owner:ALIBABA GRP HLDG LTD

Table picture recognition method, apparatus and device, and readable storage medium

The invention relates to the technical field of image processing, and particularly discloses a table picture recognition method, device and equipment and a readable storage medium, and the method comprises the steps: obtaining a to-be-recognized table picture, carrying out the OCR recognition of the to-be-recognized table picture, and obtaining the single-line text information of each unit frame in the to-be-recognized table; performing convolutional neural network analysis and recognition on the to-be-recognized table picture to obtain a plurality of feature maps of the to-be-recognized table picture; a pre-trained table picture recognition model is obtained, the single-line text information and the feature graph are input into the table picture recognition model, a calculation result output by the table picture recognition model is obtained, the calculation result comprises output word segments and the incidence relation between the output word segments, and the incidence relation comprises self-attention scores and relative position vectors, the output word fragment is obtained after word segmentation is carried out on single-line text information by the table picture recognition model; and generating a table structure corresponding to the to-be-recognized table picture according to the output word fragments and the incidence relation between the output word fragments.
Owner:ONE CONNECT SMART TECH CO LTD SHENZHEN

Geographic information identification method and device based on deep learning

The invention provides a geographic information identification method and device based on deep learning. The method is based on a BiLSTM + CRF deep neural network model. an aggregation layer suitablefor a fine-grained labeling strategy is added; a unique geographic information analysis model (BiLSTM + CRF + AGG) is formed, and through careful improvement and optimization, the system has very highfault-tolerant capability, and relatively accurate geographic position information identification is realized on text information which is nonstandard and incomplete and has wrongly written characters; a plurality of complete and mutually independent auxiliary systems are developed; the deep learning model developed by python is seamlessly applied to a windows development platform, secondary development of mainstream languages such as C + +, C #, java and the like is friendly supported, and an implementation scheme from research to application is realized. The technical effect of improving the recognition precision is achieved.
Owner:WUHAN UNIV

Secondary alignment method, device and equipment for meter detection holder

The invention discloses a secondary alignment method, device and equipment for a meter detection holder. Similarity detection is carried out on color information of a holder shooting map while similarity detection based on perceptual Hashing is carried out on a reference meter inside a detection circular and reference map, so that the accuracy of similarity detection is guaranteed, and the technical problem of low recognition accuracy rate existing in meter recognition by using Hough circle detection technology in the prior art is solved.
Owner:GUANGDONG POWER GRID CO LTD +1

AutoCAD drawing block identification method and device based on naive Bayes classifier

The invention provides an autoCAD drawing block identification method and device based on a naive Bayes classifier. The method includes: obtaining target drawing blocks and non-target drawing blocks to use the same as a drawing block database; randomly extracting a training set and a test set; determining features corresponding to drawing blocks; training a polynomial model, a Bernoulli model anda hybrid model according to the features; and using a model with highest model accuracy, which is obtained by tests, as a final model, and constructing the naive Bayes classifier to identify a to-be-identified drawing block. According to the method, the database is divided into the training set and the test set, then the polynomial model, the Bernoulli model and the hybrid model are trained through the training set, corresponding model accuracy is obtained through the test set, the best model is selected according to the model accuracy to construct the naive Bayes classifier used for identifying the autoCAD drawing block, the naive Bayes classifier is enabled to have higher accuracy, identification efficiency is high, and the technical problem of low identification accuracy of the prior art is solved.
Owner:GUANGDONG UNIV OF TECH

Portrait infringement judging method and device, electronic equipment and storage medium

The invention discloses a portrait infringement judging method and device, electronic equipment and a storage medium, and relates to the technical field of deep learning and image processing. The specific scheme comprises the following steps of inputting a to-be-detected image into a pre-trained infringement judgment model; obtaining face features of the to-be-detected image through the infringement judgment model; calculating a similarity score of the to-be-detected image and each celebrity image based on the face features of the to-be-detected image and the face features of each celebrity image in a pre-constructed celebrity image library; wherein the image library comprises at least one real celebrity image and celebrity images in a cartoon form corresponding to the real celebrity images; and in response to the fact that the similarity score is higher than or equal to the first predetermined score, determining that the to-be-detected image is an infringement image. According to theembodiment of the invention, the portrait in a cartoon form can be recognized, so that portrait infringement can be avoided to a greater extent.
Owner:BAIDU (CHINA) CO LTD

Image recognition method, related device and equipment

The invention discloses an image recognition method. The image recognition method comprises the following steps: carrying out binarization processing on an image to obtain a binary image, wherein theimage comprises a plurality of characters; performing skeleton extraction on the binary image, and extracting skeleton information of the plurality of characters; extracting the stroke information from the skeleton information, wherein the stroke information comprises the number of stroke feature points and position information between the adjacent stroke feature points; and analyzing the stroke information through a time sequence recognition engine based on a deep learning network, and identifying the plurality of characters and the position relation information among the characters. The invention further discloses an image recognition device and equipment, being characterized in that manual feature design is not needed; character separation is not needed; and the technical problem that the recognition accuracy is low due to the fact that in the prior art, for characters with adhesion, a separation algorithm cannot be well processed is solved.
Owner:TENCENT TECH (SHENZHEN) CO LTD +1

Face recognition method and device, and establishment method of face detection library

The invention discloses a face recognition method and a device, and an establishment method of a face detection library. The method comprises the following steps: acquiring image information of a target object; extracting facial features of a face in the image information; matching the face feature with at least one preset face feature in a face detection library, and determining a preset face feature successfully matched with the target object, the face detection library comprising a preset face feature of the invited object and a preset face feature of an object detected in a preset area; and obtaining the identity information of the successfully matched preset facial features to obtain the identity information of the target object. The technical problem that in the prior art, face recognition is conducted on the target object, and the recognition precision is low is solved.
Owner:ALIBABA GRP HLDG LTD

Table recognition method and device and electronic equipment

The invention provides a table recognition method and device and electronic equipment, relates to the technical field of artificial intelligence, in particular to the technical field of deep learning and computer vision, and can be applied to an optical character recognition scene. According to the specific implementation scheme, a to-be-recognized image is obtained, and the content displayed in the to-be-recognized image comprises a to-be-recognized table; segmenting and merging a to-be-recognized table in the to-be-recognized image to obtain a merging result, and performing optical character recognition processing on the to-be-recognized table to obtain a first recognition result; and carrying out matching processing on the combination result and the first identification result to obtain a second identification result. The technical problem that in the prior art, table recognition accuracy in an image is low is at least solved.
Owner:BEIJING BAIDU NETCOM SCI & TECH CO LTD

Method and device for identifying insurance claim fraudulent behavior

The invention discloses a method and a device for identifying insurance claim fraudulent behaviors. The method comprises the following steps: acquiring voice data of an insurance claim settlement user, the voice data being voice data in an insurance claim settlement process of the insurance claim settlement user; processing the voice data to obtain feature information of the voice data; and judging whether the insurance claim settlement user has a fraud behavior in the insurance claim settlement process or not according to the feature information. The technical problem that an existing method for identifying insurance claim fraudulent behaviors is low in identification accuracy is solved.
Owner:德联易控科技(北京)有限公司

Heart sound signal classification method and device, equipment and storage medium

The invention provides a heart sound signal classification method and device, equipment and a storage medium. The classification method comprises: when the processor receives to-be-classified heart sound signals sent by a user side, storing the to-be-classified heart sound signals in the cache module, and determining a preset signal classification model corresponding to the to-be-classified heartsound signals in the storage module; the processor acquiring signal characteristics of abnormal standard signals and signal characteristics of normal standard signals in the signal classification model, and acquiring signal characteristics of the heart sound signals to be classified; and the processor comparing the heart sound signals to be classified with the signal characteristics of the abnormal standard signals and the normal standard signals to determine the types of the heart sound signals. According to the method, the heart sound signal classification model is constructed, and the heartsound signals to be classified are determined based on the signal characteristics corresponding to the abnormal standard signals and the normal standard signals, so that the abnormal heart sound signal identification efficiency is improved.
Owner:PING AN TECH (SHENZHEN) CO LTD

Blast furnace material type identification method, device and system based on image multivariate features

The invention discloses a blast furnace material type identification method, device and system based on image multivariate characteristics, and the method comprises the steps: collecting a high-frame-rate material transportation video, converting the high-frame-rate material transportation video into a frame image, selecting a region, which comprises a material transverse region, in the frame image as a material region image, extracting the multi-element features of the material area image, wherein the multi-element features comprise color features, texture features, gray features and material density distribution features; training a classifier according to the multi-element features of the material area image, and identifying the blast furnace charge type according to the trained classifier, so that the technical problem of low recognition precision of the blast furnace material type in the prior art is solved, the types of the materials are recognized through the multi-element features, the types of the materials currently conveyed by the feeding belt of the blast furnace can be accurately recognized, the recognition accuracy is high, the real-time performance is good, and the method, device and system have great application value.
Owner:CENT SOUTH UNIV +1

Staying position determination method and device, storage medium and electronic equipment

The invention discloses a staying position determination method and device, a storage medium and electronic equipment, and is applied to the field of maps. The method comprises the following steps: acquiring a plurality of stay clusters of a target account; clustering the positions in the plurality of stay clusters to obtain a plurality of clusters; according to the target dimension feature of each cluster in the plurality of clusters, determining a target cluster in the plurality of clusters; and determining a target position according to the target cluster. According to the invention, the technical problem of low working and residence place identification accuracy is solved.
Owner:TENCENT TECH (SHENZHEN) CO LTD

Urban functional area quantitative identification method based on open source geospatial vector data

The invention discloses an urban functional area quantitative identification method based on open source geospatial vector data. According to the method, a framework system and a technical process foridentifying an urban functional area under the guidance of open source data are established. Firstly, data quality is evaluated through a qualitative analysis method, a mapping relation between various open source data sources and national classification standards is established through semantic analysis, and a fusion strategy is formulated. In the method, a research unit is divided by geographicnational condition road data, and classification reference data is composed of three parts: OSM fusion surface data, single building data extracted from an image and POI data. The city blocks are divided into five classes by judging the spatial relationship between the city division blocks and the classification reference data. The method provided by the invention can improve the category extraction precision and the identification precision.
Owner:WUHAN UNIV

Voice data processing method and device and electronic device

The invention discloses a voice data processing method and device and an electronic device. The method comprises the steps: phonemes without tone characteristics and phonemes with tone characteristicsin voice information of a target object are extracted, wherein the phonemes correspond to phonemes of to-be-recognized characters in voice, and tones correspond to tones of the to-be-recognized characters in the voice; a target phoneme library corresponding to the phonemes is obtained through the phonemes, wherein the target phoneme library comprises N kinds of tone phonemes corresponding to thephonemes, and N is a natural number greater than 1; phonemes in a target phoneme library are matched according to the tone characteristics; text phonemes corresponding to the voice information are determined; and a text corresponding to the voice information is recognized according to the text phoneme. Therefore, the purpose of recognizing the voice information according to the phoneme and the tone information is achieved, the technical effects of determining the target phoneme library according to the phoneme characteristics and determining the text phoneme according to the tone characteristics are achieved, and the technical problem that in the prior art, the voice information recognition accuracy is low is solved.
Owner:MIAOZHEN INFORMATION TECH CO LTD

Name recognition method and device, computer equipment and readable storage medium

The invention discloses a name recognition method and a device, computer equipment and a readable storage medium. The method comprises the following steps: inputting original name information into a preset network model for training to obtain a name labeling model; inputting name information to be identified into the name labeling model to obtain labeled name information; and extracting names in the marked name information according to a first preset rule. According to the method and the device, the technical problem of low identification accuracy caused by dependence on a word segmentation tool in a name identification method in related technologies is solved. According to the method and the device, the purpose of identifying the name without depending on a word segmentation tool is achieved, so that the technical effect of improving the name identification accuracy and identification efficiency is achieved.
Owner:上海数禾信息科技有限公司

Recognition method and electronic equipment

The invention discloses a recognition method and electronic equipment. The recognition method is applied to the electronic equipment and is used for recognizing an object to be recognized. The electronic equipment comprises at least one image acquisition device. The recognition method comprises the steps that a first area where the object to be recognized is located is shot through the at least one image acquisition device to obtain at least one piece of first image information; the at least one piece of first image information is processed to obtain second image information, wherein the second image information contains all recognition characteristic image information used for recognizing the first area; the second image information is processed to obtain third image information containing recognition characteristic image information used for recognizing the object to be recognized, wherein the amount of image information contained in the third image information is smaller than the amount of image information contained in the second image information; the object to be recognized is recognized based on the recognition characteristic image information in the third image information.
Owner:LENOVO (BEIJING) CO LTD

Method and device for identifying large game application

The invention provides a method and device for identifying a large game application. The method comprises the following steps: detecting an occupied space of an installation package of a running gameapplication; detecting a display mode of the running game application; and identifying whether the game application is a large game or not according to the occupied space and the display mode. The technical problem that in the prior art, a large game is identified only according to the name of the game package, and identification accuracy is low is solved.
Owner:GREE ELECTRIC APPLIANCES INC

Identification method, device and system

The present application discloses an identity recognition method, device and system. Wherein, the method includes: acquiring the voiceprint feature of the target object and a first timestamp, wherein the first timestamp is used to represent the time when the voiceprint feature is acquired; acquiring the voiceprint feature from a voiceprint database that is successfully matched with the voiceprint feature Pre-stored voiceprint features and a second time stamp, wherein the second time stamp is used to represent the time when the pre-stored voiceprint features are obtained; based on the first time stamp and the second time stamp, a similarity threshold is determined; based on the similarity threshold, As well as the similarity between the voiceprint feature and the pre-stored voiceprint feature, the recognition result of the target object is obtained. The present application solves the technical problem that the identification accuracy of the identification method in the prior art is low.
Owner:ALIBABA GRP HLDG LTD
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