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1475results about How to "Low hardware requirements" patented technology

Intelligent household electric appliance system based on ZigBee and page generation and implementation method thereof

The invention provides an intelligent household electric appliance system based on ZigBee and page generation and an implementation method thereof, wherein the system comprises a computer, an embedded Web gateway and a plurality of terminal devices. The embedded Web gateway comprises an ARM (Advanced RISC Machine) microprocessor, a Flash SDRAM (synchronous dynamic random access memory), a time circuit, a power circuit, a network card interface and a ZigBee coordinator module, wherein the automatic generation of the household electric appliance control page is achieved based on the embedded Web server. The ZigBee coordinator module is wirelessly connected with the terminal devices via a ZigBee protocol for transmitting operation instructions and uploading the date of the terminal devices. The terminal devices receive the gateway instructions, execute the control instructions and unload the operation state of the devices and the environment parameter data. The computer remotely accesses the embedded Web gateway via the internet so as to obtain the household electric appliance control page, to manage the names of the terminal devices and to check and control the operation state of the devices and the environment parameter.
Owner:SOUTH CHINA UNIV OF TECH

Fundamental voltage synchronous signal detection method during harmonic distortion and unbalance of network voltage

The invention discloses a fundamental voltage synchronous signal detection method during harmonic distortion and unbalance of network voltage. A novel resonant phase locked loop (PLL) can quickly compensate phase tracking errors caused by various network faults, effectively inhibit frequency fluctuation and phase jitter caused by a negative sequence and a harmonic component in the network voltage, and realize accurate detection of fundamental voltage synchronous signals in a distorted network. The method can meet the detection requirements on voltage frequency, amplitude and phase under the ideal network conditions, is particularly suitable for capturing the fundamental voltage synchronous signals under severe transient state and stable state network faults such as network voltage drop, unbalance, harmonic pollution and the like, and can realize quick extraction of the positive and negative sequences and the harmonic component in the voltage. The method has the characteristics of highdetection accuracy and good real-time property, can provide an accurate control basis for operating control of grid-connected power equipment such as various wind generating sets, solar photovoltaic grid-connected devices, reversible speed control transmission systems, dynamic reactive compensators and the like.
Owner:ZHEJIANG UNIV

Identification verifying system for living human body for electronic payment

The invention provides an identification verifying system for a living human body for electronic payment, so as to overcome defects existing in the prior art. Through various voice-shape-image biometric feature recognition of face recognition, voice recognition, voiceprint recognition and lip language recognition, whether a user is an operator or not and whether the user is an intelligent living body or not are verified, through a client of the electronic payment and the interactive communication of a server, the feature information of a face, a voice, a voiceprint and a lip language is extracted out from a video and an audio obtained by the client of the electronic payment through the client of the electronic payment, and less data flow is used and transmitted into a server terminal through the Internet so as to perform the feature information of the face, the voice, the voiceprint and the lip language. Direct contact between the identification verifying system and the operator is not needed, whether the user is the operator or not and whether the user is the intelligent living body or not are verified, the identification verifying system is convenient to use, easy to accept by the operator and good in customer experience, and besides, an additional hardware is not needed.
Owner:优化科技(苏州)有限公司

Sight tracking method based on neural network head movement compensation

The invention discloses a sight tracking method based on neural network head movement compensation, and the method comprises the following steps of respectively placing two infrared sources on middle points of two side edges of a display screen, forming a bright spot image on the surfaces of human corneas after the two infrared sources are reflected by the human corneas, and enabling a dark pupil effect to occur in pupil images, and the method specifically comprises the following steps of statically calibrating a fixation point; compensating head movement; and calculating the fixation point by utilizing a static mapping module and a head movement compensation module to form a dynamic human eye fixation point matching module. Due to adoption of the scheme provided by the invention, requirements on hardware are low, only an ordinary camera and two infrared sources are needed, the restriction of a three-dimensional tracking method in which multiple cameras are needed can be changed, the system complexity and the needed computation volume can be greatly reduced, and the sight tracking instantaneity can be improved; and in addition, the head movement is allowed, direct application can be realized through one-step calibration, repeated calibration is avoided, and main defects of the two-dimensional calibration method are overcome.
Owner:广东百泰科技有限公司

Skin type detection and individuation evaluation system and method based on cloud platform

The invention discloses a skin type detection and individuation evaluation system and method based on a cloud platform. The detection and individuation evaluation system and method based on the cloud platform are characterized in that a face skin image of a user is directly collected and effective data is extracted from the image and sent to a skin type detection cloud platform through a skin type detection terminal or a user APP; the individuation evaluation system conducts processing on the effective data in the skin type detection cloud platform through the adoption of a series of skin index analysis and process algorithms, and feeds a processing result back to the skin type detection cloud platform after an evaluation result is obtained; the skin type detection cloud platform synchronously sends the processing result to the skin type detection terminal or the user side APP; the user examines the test evaluation result by controlling a client end or the user APP. According to the skin type detection and individuation evaluation system and method based on the cloud platform, a face skin detection instrument and a machine learning technology are combined, a big data analyzing and processing technology and a machine learning method are adopted, an instrument detection result and an evaluation index are continuously optimized, a more accurate detection and nursing method are provided for the user, and a richer and more scientific specimen is provided for the study of face skin health.
Owner:武汉嫦娥医学抗衰机器人股份有限公司

Real-time three-dimensional double-hand gesture recognition method and system based on binocular vision

The invention provides a real-time three-dimensional double-hand gesture recognition method and system based on binocular vision. The real-time three-dimensional double-hand gesture recognition method based on binocular vision comprises the steps that initial calibration and correction are conducted on an image firstly, the outline of a gesture is extracted, two-dimension gesture recognition is conducted on the extracted gesture outline, the mass center of the gesture outline is calculated, stereo matching is conducted on the mass center obtained through calculation, three-dimensional hand gesture recognition is achieved, and corresponding gestures are displayed in a human-computer interaction module based on the three-dimensional hand gesture recognition. According to the real-time three-dimensional double-hand gesture recognition method and system based on binocular vision, binocular vision information can be utilized, and human-computer interaction, based on the three-dimensional space, of double-hand gesture change of a computer is achieved; meanwhile, extremely high real-time performance and extremely high effectiveness can be achieved, and requirements for hardware are lowered; in addition, the man-machine interaction effect is achieved, and the requirements for real-time performance and effectiveness are well met.
Owner:NORTHWESTERN POLYTECHNICAL UNIV

Method for across-platform monitoring enterprise application system performance

The invention provides a method for realizing the cross-platform performance monitoring of a J2EE architecture enterprise application system, which is a real-time monitoring method with a B / S structure for a J2EE architecture. The method divides the realization of performance monitoring to the application system into three layers: a data acquisition layer, a data processing layer, and a data exhibition layer; an enterprise can define key performance indices (KPI) of the enterprise according to the demand of IT operation and maintenance management of the enterprise; the realization method also internally defines a set of key performance indices which meet the demand of a plurality of enterprises at the same time; a data analysis engine is used to analyze acquired data through the acquisition to needed performance data of the key performance indices, and an analysis result is sent for alarm notification. Most enterprise-level application systems are deployed under the complex environment of various platforms, such as Unix, Windows and linux; and the development of different monitoring softwares aiming at different platforms is a complex and huge job. The data acquisition layer of the method adopts universal interface technology, and can realize the performance monitoring to multi-platform databases and application middlewares.
Owner:INSPUR SOFTWARE CO LTD

Quasi-three dimensional reconstruction method for acquiring two-dimensional videos of static scenes

The invention discloses a quasi-three dimensional reconstruction method for acquiring two-dimensional videos of static scenes, which belongs to the field of computer vision three-dimensional video reconstruction. The method comprises the following steps: step A, extracting double-viewpoint image pairs from each frame of a two-dimensional video; step B, respectively and polarly correcting each double-viewpoint image; step C, adopting a binocular stereo matching method based on overall optimization to respectively solve overall optimum disparity maps of all the polarly corrected double-viewpoint images; step D, reversely correcting the overall optimum disparity maps so as to obtain the corresponding disparity maps of all the frames in the three-dimensional video; step E, splicing the disparity maps obtained in the step D according to a corresponding video frame sequence to form a disparity map sequence, and optimizing the disparity map sequence; and step F, combining all the extracted video frames and the corresponding disparity maps, adopting a depth image based rendering (DIBR) method to recover virtual viewpoint images, and splicing the virtual viewpoint images into a virtual viewpoint video. The method is low in computational complexity, simple and practicable.
Owner:NANJING UNIV OF POSTS & TELECOMM
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