531results about How to "Processing speed" patented technology

The invention discloses a bill certificate and a system for improving the electronic image recognition efficiency. The bill certificate is realized on the basis of a two-dimensional code technology and at least provided with a certificate name, elemental region information and a two-dimensional code image, wherein the certificate name at least comprises a check or a take-in bill; the elemental region information at least comprises a certificate number, a sum and an account; and the two-dimensional code image at least comprises a bill type and service elemental information. The system comprises a two-dimensional code generation module, a two-dimensional code printing module, a bill image acquisition module, a two-dimensional code information reading module, a bill image error correction module, a bill image cutting module, an optical character recognition (OCR) record module and a manual record module. By using the bill certificate and the system, the recognition correctness and elemental positioning accuracy of the bill certificate are improved effectively.

The invention provides a commodity recommendation method and system based on video content to solve the problem that the accuracy of commodity recommendation results is low. The method comprises the steps that keyframes are extracted from target video; object detection is conducted to each keyframe according to objectivity of objects, and the detected objects serve as candidate objects of each keyframe; commodity identification is conducted to the candidate objects of each keyframe through a convolutional neural network model, and commodities of each keyframe are obtained; keyword mapping is conducted to the commodities of each keyframe, and corresponding commodity tags are obtained to serve as the commodity tags of each keyframe; the commodity tags of each keyframe are determined as commodity recommendation information of the target video, and the commodity recommendation information is output. According to the commodity recommendation method and system based on the video content, the video content is taken into consideration when commodity recommendation is conducted, the video content is analyzed, and the obtained commodity recommendation information is closely bound up with the content of the target video, so that the accuracy of the the commodity recommendation results is improved.

The embodiment of the invention relates to security incident correlation method and device as well as a network server, wherein the method comprises the following steps of: converting a new alarm into a fact when receiving the new alarm; selecting all rules related to the fact from a preset rule base so as to form a rule set; sequentially inquiring the rules in the rule set and obtaining a security incident according to one rule when inquiring that all facts included in the rule in the rule set happen. In the embodiment of the invention, one fact corresponds to one rule set, thereby obtaining the security incident through inquiring whether all facts included in the rule in the rule set happen or not without recording an intermediate state, achieving higher processing speed and realizing online real-time matching of the security incident.

The invention discloses a content-based video detection method and a content-based video detection device. A video program to be detected is subjected to audio decoding and audio detection by adopting a partial image decoding mode to determine a candidate region where a target segment appears first and then the only candidate region is subjected to image decoding and image detection to determine the accurate boundary of the target segment. By adopting the mode, not only the processing speed is improved greatly, but also the accurate boundary of the target segment can be given.

The invention discloses an electrical impedance scanning detection system for the withdrawal of real-time multi-information and the method thereof, wherein, the system comprises a PC machine, a data transmission interface module, a microprocessor, a control module, a data acquisition module, a preceding stage detection module, an excitation source and an exciting electrode; wherein, a detecting electrode array withdrawals a detection signal and sends the detection signal to the preceding stage detection module, the detection signal is sent to an A/D converter and a data buffer memory module corresponding to a data acquisition unit after passing through a current and voltage conversion module through a multiple way switch; the date buffer memory module enters into the microprocessor; the PC machine performs the data transmission, delivers a control command or revives date through the transmission interface module and a microprocessor module; a software with supporting data analysis, curve description, image display and information prompt is arranged in the PC machine; thereby obtaining the real-time electrical impedance information of a measured target body, the multiple frequency impedance information and the impedance property. The invention has the advantages that the detection accuracy is high, the processing speed is rapid, and the noise resistance ability is strong.

The invention provides an electrocardiograph detection method based on a multi-scale deep learning neural network. The method includes the steps that a server receives to-be-analyzed electrocardiograph data sent by a client side, wherein the to-be-analyzed electrocardiograph data is collected by a collecting unit of the client side or collected by a collecting device of an intelligent client side and then transmitted to the client side; the server conducts arrhythmia recognition treatment on the to-be-analyzed electrocardiograph data through a pre-established arrhythmia detection model to obtain a recognition result, wherein the arrhythmia detection model is established in advance through a multi-scale deep convolution artificial neural network algorithm training electrocardiograph data sample; the server sends the recognition result to the client side so that the recognition result can be displayed by the client side. By means of the method, the electrocardiograph data can be accurately analyzed, the method is convenient and rapid to implement, and practicability is improved.

The invention discloses a vehicle fault detection system and method based on a vehicle-mounted CAN network. According to the system, a CAN bus control module is used for generating fault information when fault occurrence is judged and sending the fault information and whole vehicle data in a preset period through a fault transport protocol; a computer is used for analyzing the fault information and the whole vehicle data according to the fault transport protocol and determining the fault reason with the maximum association possibility to the whole vehicle data and a solution corresponding to the fault reason according to the fault information, the whole vehicle data and prestored fault analysis data. By means of a CAN bus processing device and the computer of the system, vehicle fault detection can be continuously, automatically, promptly and effectively achieved in real time, the fault source can be quickly found and positioned, the possible reason of the fault and the solution are found in an assisting mode, the processing speed and the identification accuracy rate are high, safety and reliability are achieved, timeliness is high, manpower and material resources are greatly saved, and cost is saved.

The invention relates to a data processing program control device and a control method of a prediction purpose, and especially relates to a method and system for reducing system resource occupancy caused by high-concurrency data processing. The invention discloses a method for processing high-concurrency data requests. The method comprises the steps of: sharing the data requests sent by a plurality of clients to a plurality of server units by means of load balancing; loading the data requests in the plurality of server units respectively into the corresponding distributed memory cache units; adopting an asynchronous processing mode to process the data requests in the distributed memory cache units one by one; and writing the data requests after the asynchronous processing into a database. According to the invention, operation locks of the database under the high-concurrency requests are reduced, and the processing speed of the high-concurrency request information of the database is improved.

Provided are a fast, efficient, automatic and intelligent human face beautifying method and a device thereof. According to the technical scheme, the intelligent human face beautifying method comprises the steps that a human face image to be processed is read; an edge image is established, and human face edge data are extracted from the human face image to be processed and are stored in the edge image; self-adaptive window size average filtering processing is carried out on the human face image to be processed. Meanwhile, the invention further discloses the intelligent human face beautifying device for implementing the intelligent human face beautifying method. According to the intelligent human face beautifying method and the intelligent human face beautifying device, automatic dermabrasion can be fast and efficiently carried out on the human face, and the detailed information of the original human face can be reserved and undamaged after automatic processing.

The invention discloses a system used for realizing the business authentication by adopting an authentication client end, and comprises an application client side, an authentication server, an authentication client side and a business platform; wherein, the authentication client side which is communicatively connected with the application client side is used for the pre-store of authentication data, receiving the request instructions of authentication data of the application client side and returning the related authentication data to the application client side; the business platform which is communicatively connected with the application client side is used for receiving business requests consisting of the authentication data sent by the application client side, verifying the authentication data and returning verifying results to the application client side. The invention also discloses a method which realizes the business authentication by adopting the authentication client side based on the system. The invention which increases a new module of the authentication client side finishes the function of business authentication together with the authentication server and the business platform and has the advantages of reducing the processing pressure of the authentication server, improving the expansibility of the business authentication system and decreasing the construction and dilation cost of the authentication server.

The invention relates to a device and method for producing a truth random number; the device comprises a single photon random pulse source, a clock unit, a random bit extracting module based on an FPGA (field programmable gate array) and a computer; the random bit extracting module based on the FPGA comprises a controller, a counter, a multi-bit FIFO (first in first out) memory, a buffer unit, a comparator, 1-bit FIFO memory and a communication interface control module; the buffer unit comprises a first register and a second register. The technical problem that the current random number has great randomness, slow speed and bad stability is solved; and the random bit extracting method is circular, continuous, unlimited and high-speed.

The invention provides an automatic detecting and early warning method for track foreign matter invasion based on the Internet of Things technology. The method comprises the specific implementation step A of setting up a pavement video monitoring system and a vehicle-mounted video monitoring system; the step B of monitoring a road network in real time, transmitting video signals wirelessly and carrying out self-adaptive feedback; the step C of processing cloud data and vehicle-mounted data, detecting foreign matter invasion, recognizing the foreign matter invasion and giving an alarm; the step D of sharing full road network information, controlling driving when the foreign matter invades, and dispatching driving of the related road network.

The invention discloses a batch processing method of handset note. A system transfers different note template in note edition according to different note addressees or addressee groups, comprising that: the user builds a plurality of note templates respectively with identification marks; meanwhile the user sets a template transferring rule according to the addressees or the key words, including a manual rule and an automatic rule, and transfers a plurality of matching options for the automatic template transferring rule. When editing the notes, the user selects a note template or the system automatically adds a note template according to the template transferring rule set by the user. Compared with the prior art, the method of the invention enhances the processing speed of the handset on the note, evidently enhances the efficiency of editing the note for the user, and causes the note to bear more valuable information, causes the note to play a more suitable role in sociality, moreover, the invention is implemented without changing the hardware of the handset and the software platform, only added with simple software code.

The invention discloses an embedded mobile intelligent monitoring method and an embedded mobile intelligent monitoring system which face a public safety service. An embedded mobile intelligent terminal (2) is connected with a central server (1) through a third-generation (3G) network; a vehicle-mounted information terminal (9), a video analysis tracking terminal (10) and a tracking and positioning alarm terminal (11) are arranged in the embedded mobile intelligent terminal (2); and an access mobile phone terminal (12) and an access notebook computer terminal (13) are arranged in a user access terminal (3). The embedded mobile intelligent monitoring method and the embedded mobile intelligent monitoring system are applicable to the field of various types of public monitoring, such as a residential area, a large square, a high-speed train, a school bus for primary and secondary school students and special groups such as old people and kids; the embedded mobile intelligent monitoring system has the characteristics of timeliness of finding abnormal events, high alarm linkage response and the like; and the safety of public places and the social stability can be greatly improved.

The invention discloses a multi-currency-type and face value recognition method based on template feature points and topological structures of template feature points. The multi-currency-type and face value recognition method comprises the steps that 1 the feature points of paper currency images to be recognized are extracted and the positions and feature descriptions of the feature points are recorded; 2 first comparison matching is conducted on the feature points of the paper currency images to be recognized and reference points of templates respectively, the feature points of which matching results with the reference points of one or more templates meet first matching conditions are selected as the reference points of the paper currency images to be recognized; 3 the reference points of the paper currency images to be recognized are used as reference to generate topological structure information of other feature points; 4 second comparison matching is conducted on the feature descriptions of the other feature points of the paper currency images to be recognized and the topological structure information of other feature points and the feature descriptions and topological structure information of the feature points of one or more feature points; 5 currency types and face values represented by the templates are selected as face value recognition results of the paper currency images to be recognized, wherein the comparison matching results of the paper currency images to be recognized and the templates meet distinguishing conditions.

The invention discloses a vision auxiliary device and method for automatic landing of an unmanned aerial vehicle, and relates to the field of unmanned aerial vehicles. The problems that according to an existing vision auxiliary device which acquires and recognizes runways and the horizon through an airborne photographing device so as to sense the landing posture of the unmanned aerial vehicle, due to the lack of a multi-scale analysis mechanism, the landing requirement cannot be easily met, the posture and position calibration effect is poor, and deep prediction of the movement behavior of the unmanned aerial vehicle lacks are solved. The vision auxiliary device comprises a two-shaft rotary table, a rotary table motor, a power module, a single-view fixed-focus camera, a vision auxiliary information processing module and an information storage module. The vision auxiliary information processing module comprises a landing track re-planning module, a data comparator, an information filter, a computer vision processor based on image control, a computer vision processor based on position control, a first feedback correction device, a second feedback correction device, an information fusion parameter extractor and an RS485 communication interface. The vision auxiliary device is simple in structure, low in power consumption, high in efficiency and good in compatibility.

The invention relates to a hough transformation- base method for measuring the diameter of vertical pulling single crystal silicon bar. It comprises following steps: collecting image during crystal growth, pretreating image, checking crystal growth information with Hough transforamtion and getting diameter, X coordinate for circle center and Y coordinate for circle center, average value clustering for space curve crossing point and getting accurate diameter measuring value. The invention employs one pick-up head and measures diameter for seeding and constant diameter process, the measuring accuracy is high and speed is fast.

The invention discloses a reconfigurable chip architecture for high-traffic network processing. The reconfigurable chip architecture comprises an ingress policy module, a network message header processor and an egress policy module, wherein the ingress policy module slices a message, stores the message slices containing the payload of message data, and adds a corresponding storage address to the message header slices, and then assigns a sequence number to the message header slices, and assigns the message header slices carrying sequence number information to micro-engines with more idle threads; the network message header processor adopts multiple independent micro-engines to parse, classify and forward the received message header slices in parallel; the egress policy module parses a message header, extracts the payload of the message data from the cache, and splices the payload of the message data with the corresponding message header to form a complete message; and all messages are sequentially subjected to traffic shaping and queue management processing according to the sequence number of the message header, and then are divided into multiple paths and forwarded to an MAC module. The scheme of the invention has the advantages of flexibility, strong scalability and high processing speed.

The invention discloses a pre-projection ray casting volume rendering parallel processing method. The following steps are included in the volume rendering data handling procedure: calculating bounding volume of a three dimensional volumetric model; projecting the bounding volume in the screen space; storing the corresponding coordinates of a projection area; and conducing the parallel processing of volume rendering data. The method adopts the parallel processing manner of pre-projection, so that all the computing nodes do not need to wait for all tasks to be calculated and finished and then transmit the result data to a main node without waiting, and instead, the computing nodes send intermediate result data to the main node immediately after a task block is calculated and start the calculation for the next task block. Fewer task blocks are distributed to the main node at first. The method provides the optimum estimation for the number of task blocks distributed to each computing node, thereby greatly reducing the processing volume of data and improving the processing speed of data.

The invention discloses a millimeter wave imaging dangerous goods detection method based on FPGA and depth learning, which comprises the steps of obtaining the millimeter wave imaging pictures and identifying dangerous goods in the pictures; constructing the depth learning network model of hazardous materials detection, and using the labeled millimeter-wave imaging images to train the model to getthe trained detection model; locating the trained detection model into the detection system of FPGA platform; using the FPGA to detect the millimeter wave image to be measured; using the trained detection model to detect the collected millimeter-wave images; if the image to be measured contains hazardous materials, marking the hazardous materials category, alarming, and marking the coordinates ofthe irregular outline position of the hazardous materials at the same time. Based on the FPGA-based platform, using the depth neural network model trained by Mask R-CNN object detection framework forthe real-time foreign body detection, so that compared with ASIC chips, the method has better customizability.

The invention discloses a radar imaging method based on a Zynq-series FPGA. The method mainly solves the problems that an existing imaging system is complex in structure, long in development period and not transportable. The method includes the implementation steps that data required for radar imaging are generated with Matlab software and introduced into Vidado HLS software, and the data undergo pulse compression in the software so as to achieve radar imaging; the progress for achieving radar imaging is optimized, an optimized result is converted into a register transfer level; time sequence simulation is performed on the RTL through Modelsim software so as to meet requirements of a handshaking mechanism; the RTL meeting the requirements of the handshaking mechanism is led out with Vivado HLS software, so that the register transfer level becomes a universal IP core having the radar imaging function; the generated IP core is called in the FPGA, data are input at the input end of the IP core according to the time sequence, radar imaging data are obtained at the output end of the IP core, and therefore radar imaging in the FPGA is completed. According to the method, the structure of the radar imaging system is simplified, the development period is shortened, and the radar imaging system is transportable.

The invention discloses an image binarization method based on an accumulative edge point visual gray range histogram. A global threshold method is provided, the global threshold method comprises the following steps of: performing edge detection on an input gray image; initializing and assigning 0 to statistic values of all gray levels; obtaining the accumulative edge point visual gray range histogram; taking the gray level corresponding to a peak value of the histogram as the optimal threshold of the image binarization; and obtaining the binarized image according to the optimal threshold. A local adaptive threshold method is also provided, and the local adaptive threshold method comprises the following steps of: dividing the input image into n*m equal sub-regions; performing edge detection on the divided image; obtaining the global optimal binarization threshold by the global threshold method, and measuring the histogram; setting a binarization threshold; obtaining the binarized imageaccording to the optimal threshold. The method provided by the invention can maximally keep important transition information of the image, greatly reduce computation complexity of the algorithm and significantly improve efficiency of the algorithm, so that the entire image can present satisfactory visual effect.

The invention provides a teaching video and camera video motion comparison grading method comprising the steps of playing teaching video and acquiring camera video in real time by using a camera; acquiring a motion judging area; performing binarization processing on the motion judging area and expressing the front-and-back motion intensity of each element point by using normalization values; setting a threshold value and converting motion intensity images of the teaching video and the camera video into corresponding motion standardization matrixes; performing XOR operation on the motion standardization matrixes of the teaching video and the camera video to obtain motion difference matrixes and performing accumulation calculation on the motion difference matrixes to obtain motion similarity values in the teaching video and the camera video; performing normalization processing on the motion similarity values obtained through accumulation calculation of the difference matrixes to reflect motion difference. The method can perform mutual matching and comparison of motion of two pieces of video and identify the similarity of the two pieces of video and has the advantages of simple operation, low apparatus requirement and high universality.

The invention relates to an impeller type paper money separating device and financial self-service equipment adopting the paper money separating device. The impeller type paper money separating device comprises a transmission impeller, an impeller phase detection sensor, a paper money transmission mechanism and at least one U-shaped sensor, wherein the transmission impeller is used for separating the paper money, at least one U-shaped sensor is fixed on the transmission impeller and is used for detecting the entering of the paper money into the transmission impeller, the U-shaped sensor comprises a signal sending end and a signal receiving end, the signal sending end and the signal receiving end are positioned at the same side of the transmission impeller, a certain gap is formed between the signal sending end and the signal receiving end for forming the opening end of the U-shaped sensor, and the opening end faces the direction of the paper money entering the impeller. Because the U-shaped sensor is adopted for detecting whether the paper money is inserted into the impeller or not for controlling the rotation of the impeller, the processing speed is higher than that of an original optical correlation sensor, in addition, the accuracy is higher, and the paper money clamping or the flying leaving of the paper money from the impeller caused by impeller rotation before the complete insertion of the paper money into the impeller can be prevented.

The invention discloses a management system used for a reader to read RFID label event; wherein the reader comprises a central processing unit, a signal receiving unit, a signal transmission unit, a memory, a task management module and an event management module stored in the processor. The central processing unit takes an ARM processor as core, which comprises a 32M RAM; a radio frequency transceiver is adopted by the signal receiving unit and the signal transmission unit. The memory comprises an RAM memory and a FLASH memory; wherein the signal receiving unit and the signal transmission unit are controlled by the RAM processor through an asynchronous serial interface to realize radio-frequency signal transceiving and capture the label event of the RFID label. Then the ARM processor is communicated with a host computer or a server through an Ethernet interface. The invention has the advantages that various different field real-time tasks customized by users can be supported and effectively dispatched by the task management module and the event management module, thereby deployment of the field real-time tasks, edge business process and business decision can be realized by the intelligent apparatus.

The invention provides a motion estimation device in video compressing-coding algorithm, which comprises an integral-pixel motion search module and a fractional-pixel motion search module. The device also comprises an input module and a parallel-search execution module, wherein the input module is used for inputting a current macro block in a current frame memory into a current macro-block memory by taking a macro block as a unit, and for inputting image data after H.264 coding reconstruction into a reference frame memory by taking a frame as a unit according to the format of a search window; and the parallel-search execution module is used for performing parallel pipeline operation on an integral-pixel motion search method and a fractional-pixel motion search method. The motion estimation device in video compressing-coding algorithm, which is provided by the invention, has the advantages of high search precision and good compression effect.

The invention provides a sliding control method and device for a touch screen as well as electronic equipment. The sliding control method for the touch screen comprises steps as follows: sliding operation performed by a touch body on the touch screen is detected, and corresponding location information, sliding direction and inertial sliding initial speed of a display window when the sliding operation is ended are acquired; an inertial sliding speed of the display window is self-adaptively determined according to the inertial sliding initial speed; an inertial sliding distance of the display window is determined according to the inertial sliding speed; the display window is moved in the sliding direction according to the corresponding location information and the inertial sliding distance of the display window when the sliding operation is ended. The technical scheme has the beneficial effects as follows: the inertial sliding speed of the display window can be self-adaptively adjusted, and the controllability is good; the processing speed is high, and the compatibility is good.

The invention belongs to the field of block chain distributed technology, and discloses a method for obtaining the accounting right in a certain time period in the block chain network, including: ordinary nodes participating in elections; producing a maker; the manufacturer declaring the term of office to commence; The manufacturer generating a new block; other nodes confirming the start of the current term of office; processing transactions by other nodes during their tenure; other nodes verifying the new block; the manufacturer collecting the first feedback vote; Other nodes processing the submission message; the manufacturer counting completion messages; ending of manufacturer's tenure. Under the condition of using blocks of suitable size, the block generation speed of the invention canreach 3 seconds per block, the transaction confirmation time of second level, and at the same time, the number of transactions processed in unit time can reach 7000 transactions per second. The invention uses the agreed selection method to generate the bookkeeping nodes in the orderly arrangement candidate nodes, so as to avoid additional power consumption. The invention allows the dynamic addition of the block chain network node, and has good expansibility.

The invention belongs to the technical field of intercommunication and interoperation between block chains, and discloses a block chain cross-chain asset transfer method based on committee and a blockchain information terminal. The method comprises the following steps: a script protocol is run, IDs are distributed to all the active nodes, and extraction nodes with the equal probability on each chain are used for forming a confirmation committee C with the size of 1. In each transaction period, when a cross-chain transaction occurs, the chains interact through respective committee, the transaction asset exchange proportion is determined according to the number of the respective nodes, and then the committee locks or unlocks the assets to complete the cross-chain transaction. In the aspectof security, every time a period passes, the confirmation committee is re-extracted to prevent malicious attacks; in order to prevent the double-flower attack, the blocks in the committee can be pushed to the main chain only after the competition period of the six blocks. According to the invention, one-to-many and many-to-many block chain cross-chain asset transfer, data resource sharing and other interoperation functions can be realized.

The invention discloses a UE access network selection method, device and system, and a UE. The method comprises that: a network selection policy analysis system NSPS confirms a network selection policy according to the current network state; and the confirmed network selection policy is sent to the UE by the NSPS so that the UE is notified to select an access network according to the network selection policy. Problems in the prior art that the access network of a terminal cannot be optimized and selected are effectively solved so that the terminal acquires the high-quality network, service processing speed of the terminal is enhanced and terminal user experience degree is further enhanced.