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

957results about How to "Reduce data processing" patented technology

Method for processing space hand signal gesture command based on depth camera

The invention discloses a method for processing a space hand signal gesture command based on a depth camera and relates to the method for processing the space hand signal gesture command based the depth camera. The method for processing the space hand signal gesture command based the depth camera is capable of recognizing space hand signal gesture command information fast and accurately, improving working efficiency and precision greatly and being high in robustness, strong in practical applicability and good in anti-jamming capability when applied to a complex and changeable environment. The method comprises the steps of acquiring a real-time image by the depth camera, obtaining hand signal point cloud data by using three-dimensional point cloud computation and obtaining hand signal point cloud information, achieving a plane registering of the hand signal point cloud information and extracting contour feature point information, resuming a hand signal gesture, recognizing the hand signal gesture, recognizing a corresponding movement track and defining operation content of the movement track and finally achieving data smoothing of a dynamic hand signal gesture mouse output point according to a protocol for table-top tangible user interfaces (TUIO). The method for processing the space hand signal gesture command based the depth camera has the advantages of being fast , comprehensive and accurate in acquiring target information, establishing a space motion detecting area, extracting information with different depth, achieving multi-touch and improving integral operating performance.
Owner:GUILIN UNIV OF ELECTRONIC TECH

Intelligent water resource control platform based on cloud computing and expert system

InactiveCN103489053AReduce communication load and data processing volumeIncrease the number of accessResourcesCloud computingData transmission systems
The invention discloses an intelligent water resource control platform based on cloud computing and an expert system. The platform comprises a site measurement and control station, an internet of things data transmission system and a cloud computing service platform, and is characterized in that the control platform carries out automatic real-time collection on water resource information of a water supply water source, underground water, a water intake, a boundary control fracture surface and a sewage draining exit and site equipment operating condition information through the site measurement and control station, and real-time data preprocessing is achieved by means of an additionally installed site intelligent controller; internet of things data transmission equipment is adopted in the internet of things data transmission system to sent data of the measurement and control station to the cloud computing platform, and data support is provided for water resource management and advanced applications; the cloud computing service platform achieves real-time monitoring on water resources, monitoring on operating condition and remote on-line maintenance on site monitoring equipment and applications on water resource service, and a water resource decision is utilized to support the expert system to achieve assessment, early warning and emergency commanding of the water resources. The cloud computing and the Internet of things technology are applied to the platform, so measurement and control data are timely and efficiently processed, the intelligent computing technology is applied so that intelligent assessment and early warning of the water resources can be achieved, and safety of the water resources is guaranteed to a great extent.
Owner:湖南云控科技有限公司 +1

Infrared dim-small target detection method based on shear wave conversion

The invention belongs to an infrared dim-small target detection method based on shear wave conversion in the infrared image processing technology. The method comprises the following steps: processing an original infrared image by employing nonsubsampled Laplace pyramid conversion and a Shearlet filter in succession to obtain high frequency information graphs of various directions under different scales, inhibiting background and noise interference information, enhancing target information and extracting a dim-small target. According to the invention, the nonsubsampled Laplace pyramid conversion and a Shearlet filter are employed to process the original infrared image, through same scale and different scales fusion processing of the obtained the high frequency information graphs, the interference information is inhibited, the target information is enhanced, and the high frequency information graphs are subjected to segmentation to obtain a clear dim-small target graph; thereby the method has the characteristics of a short detection processing flow, small data processing amount, short processing time, capability of effectively raising performance of detecting the infrared dim-small target and obviously distinguishing a target and a complex background in the image, a good effect and the like.
Owner:UNIV OF ELECTRONICS SCI & TECH OF CHINA

Method of adaptive full duplex full frequency band echo cancellation

A method of adaptive full duplex full frequency band echo cancellation comprises the following steps of: carrying out filtration by a sub-band filter, carrying out sub-band echo cancellation by a sub-band echo canceller, carrying out weighted energy analysis and control on system signals, carrying out analysis and detection on double talk active state, carrying out coefficient updating on an echo filter, carrying out nonlinear processing on residual echo, and carrying out synthesis on signals of sub-bands. The method further comprises the step of maintaining reference signal and echo signal to be synchronous; after the nonlinear processing is carried out, noise reduction, automatic gain control and comfort noise technique can be added. Owing to adoption of the method of echo cancellation, signals are spilt into sub-bands through filtration, thus reducing correlation among signals of sub-bands, improving convergence problem of adaptive filter, reducing data process load of the system, improving processing efficiency of echo cancellation, realizing full duplex of conversation, improving frequency response of communication audio frequency, improving quality of communication and realizing echo cancellation of full frequency band response.
Owner:南京朗逸锐科电子科技有限公司

Road-vehicle fusion perception based early warning method against lane departure

The invention discloses a road-vehicle fusion perception based early warning method against lane departure, and relates to the field of automatic driving. Firstly, a roadside sensing device collects and preprocesses images of lane lines and a vehicle; then, a driving track is stored; and meanwhile, lane line detection is conducted, the positions of the lane lines in the world coordinate system areobtained through inverse perspective transformation, similarly, the position of the target vehicle is unified to the world coordinate system, and distance information between the center point of thevehicle and the lane lines on the two sides is obtained. And multiple frames of driving track of the target vehicle are fit, and the yaw angle of the vehicle is calculated. And finally, a vehicle sensor acquires the steering wheel angle and steering lamp information of the vehicle, if the deviation driving of the vehicle is not the intention of a driver, speed and acceleration information of the vehicle is acquired and transmitted to a vehicle-mounted terminal, and the vehicle-mounted terminal judges whether the vehicle has the risk of deviating from the lane line according to measurement information. According to the invention, the data processing amount of the vehicle-mounted terminal is reduced, the accuracy and robustness of a detection system are improved, and the driving safety is ensured.
Owner:北京踏歌智行科技有限公司

CNN (Convolutional Neural Network) based partial discharge fault diagnosis method of power equipment

The invention discloses a CNN based partial discharge fault diagnosis method of power equipment, and relates to the field of electric variable measurement. The method comprises the following steps that partial discharge signals of a typical fault defect model are collected, and a PRPD atlas database is established; a grayscale map construction module obtains a partial discharge grayscale map via PRPD; a feature extraction module which is established by using the CNN with a residual error structure extracts identification features from the grayscale map; the identification features are sent toa classifier to carry out identification training; and the grayscale map construction module, the feature extraction module and the classifier serve as a diagnosis module of a detection instrument. According to the method, RPPD data is converted into the grayscale map, the identifying features of the grayscale map are extracted via the strong feature adaptive extraction capability of the CNN withthe residual error structure, the features are applied to the classic classifier, a deep learning method is combined with a traditional machine learning method effectively, the extracted features arehigh in identification degree, and the accuracy of fault diagnosis can be improved.
Owner:RED PHASE INC

Night image characteristic extraction method in intelligent vehicle-mounted anti-collision pre-warning system

The invention belongs to the field of a photoelectric technology, and specifically discloses a night image characteristic extraction method in an intelligent vehicle-mounted anti-collision pre-warning system. The night image characteristic extraction method comprises the following steps of: selecting an automobile tail light as characteristics to be extracted, and then canceling noises of images, carrying out image edge clearness, selecting threshold value and carrying out threshold segmentation by using a series of image processing methods; and selecting an interested region AOI (Automated Optical Inspection) when the characteristics of the automobile tail light are extracted and paired, and expressing a target automobile by a rectangular frame and deducing a distance measuring formula through modeling and a series of transformations after extracting and paring the characteristics of the automobile tail light. According to the night image characteristic extraction method, the characteristics of the automobile tail light are highlighted, extracted and paired by a series of image processing methods so as to locate the special location of a front automobile in a lane and provide reliable data for the intelligent vehicle-mounted anti-collision pre-warning system which calculates the distance between the front automobile and the automobile.
Owner:中国航天科工集团第二研究院二〇七所

NC system fine interpolator and control method thereof based on SOPC

The invention relates to a NC system fine interpolator and a control method thereof based on SOPC; the fine interpolator is based on the FPGA structure, a processor is connected with a fine interpolation module, a tri-state bridge, a dual-port RAM, a DMA module, a timer module and a chip-interior ROM; wherein, the fine interpolation module is used for receiving the control signal of the processor and is controlled by the processor to output a fine interpolation pulse signal according to the thick interpolation command transmitted by the dual-port RAM; the processor is connected with a FLASH and SRAM on the exterior of the FPGA through the tri-state bridge; the dual-port RAM is connected with the microprocessor of an upper computer through a PCI interface module; the timer module outputs base frequency to the fine interpolation module for generating pulse signals; the DMA module copies the fine interpolation control program stored in the FLASH to the internal memory of the processor' and the internal switching bus module provides internal connection bus for each module. The invention adopts the FPGA-based on-chip system design to improve the confidentiality and integration of the fine interpolator, the processing stability and speed of the fine interpolator, and reduce the data throughput of the upper computer.
Owner:中国科学院沈阳计算技术研究所有限公司
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