Patents
Literature
Patsnap Copilot is an intelligent assistant for R&D personnel, combined with Patent DNA, to facilitate innovative research.
Patsnap Copilot

2403results about How to "Fast recognition" patented technology

System and method for processing unmanned aerial vehicle polling image

The invention discloses a system and method for processing an unmanned aerial vehicle polling image. The system comprises an unmanned aerial vehicle polling image processing system body which comprises a human-computer interaction module. After the human-computer interaction module obtains a user instruction, a main control panel analyzes the user instruction and transmits the analyzed instruction to a data receiving and transmitting controller, the data receiving and transmitting controller sends a parameter configuration instruction to corresponding peripheral equipment according to the instruction and transmits an instruction execution result back to the main control panel, and the main control panel processes the execution result of the parameter configuration instruction and then sends processed information to the human-computer interaction module so that the information can be displayed to a user. The main control panel is respectively communicated with a secondary controller, a power supply module, a wireless communication module, a data storage module, a locating module, a distance measuring meter and a height gauge. The system and the method improve the automation degree and the informationization degree of polling image processing, improve the efficiency of searching for and processing the polling result, and lower the cost of processing the polling result.
Owner:STATE GRID INTELLIGENCE TECH CO LTD

Voice keyword identification method and apparatus based on deep neural network

InactiveCN105679316AFast recognitionAlleviate the recognition delay problemSpeech recognitionFeature extractionNetwork model
The invention provides a voice keyword identification method and apparatus based on a deep neural network. The method comprises the steps: framing the voice to be identified to obtain a plurality of voice frames; extracting features from each voice frame, and obtaining a Mel frequency cepstral coefficient MFCC sequence for each voice frame; inputting the MFCC sequence for each voice frame into a preset deep neural network model in parallel; respectively calculating the posterior probability under each neural unit of the output layer in the preset deep neural network model, for the MFCC sequence for each voice frame; forming posterior probability sequences corresponding to the plurality of voice frames through the posterior probability under each neural unit of the output layer; monitoring the posterior probability sequence under each neural unit of the output layer; and according to the comparative result between the posterior probability sequence and the probability sequence of the preset threshold, determining the keywords of the voice to be identified, and utilizing the pre-trained deep neural network to perform voice keywords identification. Therefore, the voice keyword identification method and apparatus based on a deep neural network can improve the identification speed and alleviate the problem of identification delay.
Owner:SHENZHEN WEIFU ROBOT TECH CO LTD

Intelligent terminal network teaching method

The invention relates to an intelligent terminal network teaching method. The intelligent terminal network teaching method comprises the steps that communication connection among the interior of a teaching terminal, the interior of a learning terminal, the interior of a parent management terminal, the interior of a server and the interior of a service platform is set up; the teaching terminal is used for recording the course of a teacher and uploading and storing the course of the teacher in the server; the learning terminal feeds information back to the teaching terminal through the server, and the teaching terminal answers the fed back information correspondingly; the parent management terminal is used for maintaining parent information; data are stored in the server and used for being called by the teaching terminal, the learning terminal and the parent management terminal, and the server is used for carrying out data interaction with other external devices; the teaching terminal and the learning terminal both are in information interaction with the service platform, a teacher management module, a student management module and an intelligent search module are arranged in the service platform, and the intelligent search module comprises an image retrieval module and an image recognition module; the learning module and a sign-in management module carry out information transmission. The intelligent terminal network teaching method can be used for developing a pre-class lesson preparing application, a classroom teaching application, an after school care application, a remote education application and the like based on the Internet.
Owner:SHENZHEN EAGLESOUL TECH CO LTD

Image recognition method and system

The invention discloses a method and a system for recognizing images, which relate to a method and a system for recognizing static target images by adopting the image recognition technology. The invention solves the problem that the recognition speed is relatively slower in the prior image recognition technology. The method and the system for recognizing the images are characterized in that image information in the identification area and characteristic information in the identification area are stored as template information, then the area to be recognized in the images to be recognized is confirmed by adopting the identification area, then the characteristic information in the identification area is compared with that in the area to be recognized, when the similarity of both characteristic information in the identification area and that in the area to be recognized is in the error range, users consider that the images to be recognized and the target images are mutually matched, so as to realize image recognition, in the recognition process, the characteristic information in the area to be recognized is just needed to compare, the data quantity is less, and the logical reasoning and the mathematical operation of the characteristic information are not required, thereby quickening the speed of image recognition. The invention is mainly used for searching matched images, for example, bill recognition, seal recognition and the like.
Owner:新方正控股发展有限责任公司 +1

Method and system for recognizing video program

The invention relates to a method and system for recognizing a video program. The method comprises the steps that S1, video pictures played by a video play terminal are shot; S2, the overall or local feature information of video frames in the video pictures is extracted to generate digital fingerprints describing the video frames; S3, search matching is carried out on a video frame fingerprint database through the generated digital fingerprints, and program information corresponding to the video frames is acquired through a matching result. The video frame digital fingerprints are generated through the shot video pictures of the video play terminal, the search matching is carried out in the video frame fingerprint database to obtain the corresponding program information, and therefore recognition speed is high, the precision degree is high, and real-time requirements are met. Related information resources on a network are searched for and obtained through the recognized program information and are returned to a mobile communication terminal, a user can acquire the related information of a television program being watched by the user conveniently and fast when watching the video program, the operation is simple, real-time performance is strong, and the user experience effect is good.
Owner:SHENZHEN XINGAN YISOU NETWORK TECH

Multi-modality medical image identification method and device based on deep learning

The invention provides a multi-modality medical image identification method based on deep learning. The method includes the steps that on the basis of multi-modality medical images of a patient's part to be detected, a registration method is adopted to display the multi-modality medical images in the same three-dimensional space; on the basis of the multi-modality medical images, R-CNN is adopted to identify lesion areas in the multi-modality medical images; according to coordinates of the lesion areas in the multi-modality medical images, lesion bodies are displayed in the same three-dimensional space, and according to image blocks corresponding to diagnosed lesion areas, a dense sampling method and a CNN are adopted to obtain occurrence probabilities of various preset disease types. The invention provides a multi-modality medical image identification device based on the deep learning. The device includes a multi-modality medical image display module, a lesion area detection module, a lesion body display module and a preset disease-type occurrence probability module. According to the multi-modality medical image identification method and device, the automatic identification of the lesion areas in the medical images is achieved, and effective reference data is provided for further diagnosis by doctors.
Owner:BEIJING COMPUTING CENT

Bone age mark identification assessment method and system based on deep learning and image omics

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.
Owner:WINNING HEALTH TECHNOLOGY GROUP CO LTD

Security protection early-warning system and method based on radar detection and video image behavior analysis

The invention provides a security protection early-warning system and method based on radar detection and video image behavior analysis. The method comprises: S1, carrying out pairing and calibrationon a radar detecting device and a cloud platform camera; S2, monitoring whether a moving target exists in a monitoring range in real time by a radar and sending position information of all moving targets to an intrusion event detecting module; S3, determining positions of the moving targets relative to the cloud platform camera; S4, determining an adjustment angle of the cloud platform camera anda needed magnification value; S5, moving the visual field center of the cloud platform camera to the positions of the moving targets and controlling the cloud platform camera to carry out magnification; and S6, acquiring a current image of the cloud platform camera, carrying out a behavior analysis on the moving targets, determining a real intrusion target, and sending out alarm information. The security protection early-warning method has advantages of simple algorithm, fast recognition speed of the intrusion target, high recognition accuracy, and flexible equipment installation position arrangement and the like; the missed detection rate and the false alarm rate are reduced substantially; and the response speed of the system is increased.
Owner:ANLONG SOFTWARE HUNAN

Human-computer interaction system based on electro-ocular signal

The invention relates to a human-computer interaction system based on an electro-ocular signal, which is characterized in that an electro-ocular signal acquisition and amplification module acquires the electro-ocular signal through an electro-ocular signal sensor and amplifies the signal; an online electro-ocular signal processing module realizes the online mode identification of the signal from the electro-ocular signal acquisition and amplification module to judge the eye action of an operator in real time; and a controlled unit is used to realize the coding of an eye movement mode and the generation of a controlled command. The human-computer interaction system has strong applicability, high measurement precision, high identification speed and simple and convenient operation and realizes the special human-computer interaction based on the electro-ocular signal. The human-computer interaction system can help physically-disabled realize computer manipulation, text writing, webpage browsing and other operations like normal people or wireless control on other electronic equipment (such as home appliances) and other human-computer interactions; and simultaneously, the human-computer interaction system can be also used in occasions where a computer is inconvenient to operate by normal people with hands, such as a mine, rescue operation, a spacecraft, underwater and other severe or narrow environments.
Owner:ANHUI UNIVERSITY

Distributed semantic and sentence meaning characteristic fusion-based character relation extraction method

The invention relates to a distributed semantic and sentence meaning characteristic fusion-based character relation extraction method, and belongs to the field of natural language processing. The method comprises the steps of firstly performing training in a small amount of marked corpora and a large amount of unmarked corpora by utilizing statistic word frequency features and a Bootstrapping algorithm to obtain a relational feature dictionary; secondly constructing a triple instance of a statement through an element distance optimization rule, and constructing a triple feature space by fusing distributed semantic information and semantic information; and finally performing true-false binary decision on a triple, and obtaining a character relation type by utilizing a confidence degree maximization rule. According to the method, automatic generation of the feature relation dictionary is realized; a conventional relational multi-class problem is converted into a triple true-false binary decision problem, so that a conventional machine learning classification algorithm is better adapted; and by utilizing the distributed semantic information, the accuracy of relational classification is improved.
Owner:BEIJING INSTITUTE OF TECHNOLOGYGY

Rapid authentication method based on handshape and palmprint recognition

InactiveCN104123537AFast recognitionThe verification effect is accurateCharacter and pattern recognitionTemplate libraryAuthentication
The invention discloses a rapid authentication method based on handshape and palmprint recognition. The method comprises: collecting a hand image and separating handshape and palmprint features from the hand image, using the extracted handshape and palmprint features of a registered user as templates and storing into registration template libraries together with personal identifications of the user; setting a threshold value, and comparing the handshape feature extracted from the shot hand image with the handshape feature in the handshape feature template library; then determining whether identification names are the same, if yes, determining that the user is legal, otherwise, determining by recognizing the palmprint; setting a threshold value, and comparing the palmprint feature extracted from the shot hand image with the palmprint feature in the palmprint feature template library, if comparison of the palmprint features is successful, determining that whether the identification names are the same, if yes, determining that the user is legal, otherwise, determining that the user is counterfeit, and refusing the user. The rapid authentication method based on handshape and palmprint recognition solves the problems that the existing hand multi-feature fusion recognition technology is slow in recognition speed and low in recognition rate, and is rapid in recognition speed, accurate in authentication effect and good in practicability.
Owner:XIAN UNIV OF TECH

Method for extracting crown word numbers from scanned banknote images in banknote detection module

The invention discloses a method for extracting crown word numbers from scanned banknote images in a banknote detection module. The method comprises the following steps that the green ray of an image sensor is used for banknote collecting to form source images, the boundaries, in the source images, of the banknote images are found by adopting the mode of scanning boundary points, and then the banknote images are turned over and corrected to the horizontal state; feature points are extracted, and face value and orientation of banknotes are identified according to the obtained feature points; crown word number areas are determined, binarization processing is adopted for the crown word number areas, the obtained binarization images of the crown word number areas are searched for the boundaries containing all crown word numbers, then each single crowd word number is segmented, and a support vector machine identifies and processes the segmented and normalized single word images. The method for extracting the crown word numbers from the scanned banknote images provides a powerful support for identifying the authenticity of banknotes, crown word numbers can be identified accurately, the ability to identify the authenticity of banknotes is greatly improved, and the property safety of the financial department is effectively protected.
Owner:GUANGZHOU KINGTELLER TECHNOLOGY CO LTD

Video-based vehicle overspeed monitoring method and system

The invention provides a video-based vehicle overspeed monitoring method and a video-based vehicle overspeed monitoring system. The method comprises the following steps: firstly, performing standardization and enhancement on originally acquired images through image pretreatment; then, acquiring the vehicle speed of a dynamic target through dynamic target segmentation, the dynamic target tracking and the vehicle speed measurement, and judging whether the dynamic target is overspeed through the vehicle speed; and finally, finishing the identification of the plate number of the dynamic target and transmitting the data to a monitoring center through the plate number positioning and character recognition. The video-based vehicle overspeed monitoring system realizes full-automatic monitoring and networking, and has convenient erection, low cost and higher practical value. The video-based vehicle overspeed monitoring system has strong universality, strong openness, and strong extensibility. In addition, the video-based vehicle overspeed monitoring system is unnecessarily embedded with a wayside induction coil, adopts video to detect the overspeed state in a non-contact way, integrates the vehicle speed measurement and the plate number identification at the front end of the system, and has low requirement on the communication bandwidth.
Owner:BEIJING VIMICRO ARTIFICIAL INTELLIGENCE CHIP TECH CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products