77results about How to "Faster than" patented technology

The invention discloses a method for selecting and rapidly comparing robust features of iris images. The method comprises: S1, adopting regional multipole sequencing measurement features to express iris texture; S2, selecting and fusing iris features by taking similarity as guidance; and S3, rapidly comparing iris characteristic templates on the basis of a hierarchical classifier. The method uses a feature-selecting method taking similarity as the guidance to select regional measurement features and construct a combined classifier, and adopts a hierarchical classifier structure to optimize and combine the obtained combined classifier again so as to rapidly compare the iris characteristic templates. The method automatically learns the obtained iris regional sequencing measurement features, and has the advantages of greatly raising the speed of comparing the iris characteristic templates and effectively solving the problem of applying iris recognition to large-scale databases, along with good robustness and high recognition precision. The method can be widely used in a large number of application systems using iris for identity recognition and security protection.

The invention relates to a test system and test method of millions of one-to-many face recognition products, wherein, a characteristic template extracting unit, an image data storage unit and a template data storage unit are respectively interconnected each other; and a comparing request unit is connected with a comparing unit which is respectively connected with a template data storage unit and a result data storage unit. Each unit consists of a computer or a plurality of computers connected by a network. The comparing unit is provided with a one-to-many characteristic comparing template. The invention also provides a test method of millions of one-to-many face recognition products and has the advantages that all the units of the test system are respectively a modularized structure, are independent and also can be combined in any manner; the test system can carry out multimachine multiprocess parallel test and has strong expandability. By adopting the same test interface protocol and the comparing result storage protocol, the invention can obtain test result of all phases (all modules) by one-time test, also can acquire the total test results; the performance for testing millions of one-to-many face recognition products is fast, accurate and comprehensive.

In order to improve the account number encryption password comparison verification efficiency and improve the stability and the high efficiency of the application system, the present invention provides a weak password rapid comparison and searching method. The method comprises: (1) leading in a plurality of weak password dictionary files; (2) leading in encryption password files from an application system; (3) performing weak password dictionary encryption; and (4) performing off-line comparison verification of the weak password and the encryption password to be verified. Through adoption of the mode of combination of the multithread processing and the binary searching method, the weak password rapid comparison and searching method fully develop the performances of the hardware device (the oversized data volume verification and comparison be processed through cloud calculation) so as to greatly shorten the time of the encryption password comparison verification, improve the efficiency of the big data volume password verification and rapidly and effectively realize the detection of the weak passwords to allow the comparison and verification between the huge account passwords of the application system and the equal huge weak password dictionary to have realization possibility on the aspect of time.

The invention relates to a Trojan horse scanning method, which comprises the following steps of: obtaining files to be scanned; extracting the attribute information of the files to be scanned one by one from the obtained files to be scanned; and comparing the extracted attribute information with the stored attribute information, judging whether the attribute information of the files to be scanned is the same as the stored attribute information or not, if not, scanning the files to be scanned corresponding to the extracted attribute information. According to the Trojan horse scanning method and system, when the attribute information of the files to be scanned is different from the pre-stored attribute information, the files to be scanned are safely scanned so as to judge whether the files to be scanned is identified as a normal state or not, the files to be scanned with the attribute information same as the pre-stored attribute information is not safely scanned, and the probability that the files to be scanned with the attribute information same as the pre-stored attribute information is not amended is very high, therefore, the number of the files needing to be scanned is greatly reduced, the resource consumption is flexibly reduced, the security of the files is ensured, and the scanning speed of the files is improved.

The invention discloses a three-level flow sequence comparison method based on a many-core co-processor. The purpose of increasing the comparison speed of sequence comparison software is achieved. According to the technical scheme, sequence comparison is performed in a multi-threading manner by an MIC (microwave integrated circuit) many-core co-processor; three serial steps of reading sequences from a main memory to an MIC, comparing the sequences and writing a comparison result to the main memory in a sequence comparison process of the MIC are in a three-level flow mode, namely, sequences required for next comparison are read during sequence comparison, a previous comparison result is written into the main memory, and a reading and writing operation and a comparison operation are carried out simultaneously. By the three-level flow sequence comparison method based on the many-core co-processor, three main processes of sequence reading, sequence comparison and comparison result returning are carried out simultaneously, the comparison efficiency is improved, and the comparison time is shortened. Compared with a two-channel eight-core CPU (central processing unit), the three-level flow sequence comparison method has the advantages that the speed of a comparison process can be increased 2.3 times at least, a large amount of memory space is prevented from being copied, and the space-time efficiency of a procedure is improved.

The embodiment of the invention discloses a gene sequence processing method for making a CPU to output information of a first gene sequence according to a comparison result after gene comparison is conducted on the first gene sequence completely matched with a reference gene sequence in an FPGA. According the embodiment, the method comprises the steps that a field-programmable gate array (FPGA) obtains gene sequences sent by the CPU; the FPGA selects rules according to preset gene sequences, and the first gene sequence in the gene sequences is determined; the FPGA conducts matching on the first gene sequence and the reference gene sequence through a preset algorithm; if the first gene sequence and the reference gene sequence are completely matched, the FPGA sends the matching result of thefirst gene sequence and the reference gene sequence to the CPU, and the matching result is used for determining output processing conducted by the CPU on the information of the first gene sequence.

The invention particularly relates to a data comparison method and system. The method comprises the following steps of reading a preset configuration file and obtaining a corresponding first configuration table according to the configuration file; according to the first configuration table, obtaining first comparison data of a first data platform and second comparison data of a second data platform; comparing the first comparison data and the second comparison data to generate a comparison result containing differential data; and storing the comparison result in the first data platform and / or the second data platform. The data comparison process is separated from business logic and does not need to concern specific business data, so that a user does not need to rewrite a program; and the generated differential data can be stored or generates a file in a defined format, so that later analysis and processing are facilitated. Compared with an operation process in the prior art, the data comparison step is greatly simplified, the operation and maintenance costs are reduced, and the work of repeated code development is reduced.

The invention provides a third-generation PacBio sequencing data comparison method capable of effectively reducing comparison errors caused by repeated sequences. According to the method, a k-mer model is established by using second-generation Illumina data; unique-kmer is extracted; and in third-generation PacBio sequencing data comparison, unique-kmer is used as a seed used in the comparison, so that the influence of the repeated sequences can be greatly reduced and the comparison speed can be increased.

The invention discloses a method and device for detecting a chromosome. The method for detecting the chromosome comprises a receiving step, a dividing step, a comparing step and a determining step. In the receiving step, a reference sequence and a plurality of sequencing sequences are received; in the dividing step, each sequencing sequence is divided into a plurality of sequencing subsequences with the fixed length being an n2 basic group by using an n1 basic group as the step length, and the reference sequence is divided into a plurality of reference subsequences with the fixed length being an n2 basic group by using an n3 basic group as the step length; in the comparing step, the sequencing subsequences of each sequencing sequence are compared with the reference subsequences of the reference sequence, so that a target sequencing sequence is determined; in the determining step, according to the corresponding relation of a plurality of sequencing subsequences of the target sequencing sequence and the reference subsequences of the reference sequence, the name of the chromosome corresponding to the target sequencing sequence is determined. By means of the method and device for detecting the chromosome, the problem that the detecting speed of the chromosome is low in the prior art is solved, and therefore the effects for lowering the time spending and increasing the detecting speed are achieved.

The invention relates to the fingerprint identification method and its module suitable for many fingerprint sensors. Connect the optical sensor or the pressure sensor to the sensor interface of the fingerprint identification module with two software interfaces reserved. Through the simple connection between the user board interface and the fingerprint identification module interface, different sensors can be chosen arbitrarily according to the sensor setting command transmitted from the user board to assist the fingerprint identification module. By this means, the problem of only a single fingerprint optical sensor can be chosen by the fingerprint module is resolved. The invention can be also connected the computer to implement the demonstration of the functions of the fingerprint identification module through the management software. The whole module possesses the advantages of small volume, easy connection, large fingerprint memory, high comparison speed and so on. It can be applied to the small-sized fingerprint verification machine, and it is a good choice to secondarily develop the fingerprint products.

The invention relates to the technical field of computers, in particular to a face-scanning payment method and device, a storage medium and terminal equipment. The face-scanning payment method comprises the following steps: searching a first communication signal around face recognition equipment; obtaining a target communication signal of which the signal intensity is greater than a preset threshold in the searched first communication signals, and obtaining a target account ID and a target face picture of a corresponding user from a server according to an MAC address in the target communication signal; storing the target communication signal, the corresponding target account ID and the target face picture in a local information base of face recognition equipment in an associated manner; collecting a current face picture of the user to be paid, and matching the current face picture with a target face picture in a local information base; and if the first target face picture matched withthe current face picture exists in the local information base, obtaining a first target account ID stored in association with the first target face picture from the local information base, and performing face payment according to the first target account ID.

The invention discloses a fish posture determination method based on visual recognition. The method comprises the steps: firstly obtaining a fish image with a to-be-determined posture, carrying out the preprocessing of the fish image, and obtaining a gray image and a binary image; contour extraction is carried out on the binary image to obtain a fish body contour image; drawing circles with the same radius by taking the head and tail positioning points of the fish body as circle centers, judging the area of the fish body in the two circles, and taking the positioning point with the large areaas the direction of the fish head; judging the abdominal and dorsal postures of the fish body, approximately looking the fish body as an ellipse, carrying out ellipse fitting on the contour image of the fish body to obtain an ellipse equation of the contour of the fish body, and regarding the long axis of the ellipse as the central axis of the fish body; taking the central axis as a boundary to define graphs in the elliptical contour in the grayscale image as an R1 region and an R2 region respectively, performing grayscale value averaging calculation on the R1 region and the R2 region respectively, and taking the region with a large average value as a fish belly direction. A database model does not need to be established, contact is not needed, direct judgment can be achieved through visual recognition, and quickness and high efficiency are achieved.

The invention discloses a method for detecting power machine room faults through big data and relates to the technical field of machine room detection. The invention aims to solve the problems of high possibility of omission, incapability of finding problems in time and low maintenance efficiency caused by incapability of accurately judging the state of the machine room in the conventional machine room abnormity monitoring method. According to the method for detecting the faults of the electric power machine room through the big data, the abnormal state pictures of the machine room are collected through the big data and serve as comparison references, information is more comprehensive, and the comparison result is more reliable; a plurality of same comparison sets are copied to be synchronously compared with the state set, so that the comparison speed is higher, the current information can be obtained in time, and the efficiency is higher; due to the fact that the states are classified firstly, the categories of the problems can be directly locked after the similarity is compared. The whole set of scheme can monitor the state in the machine room in real time, can find problems more timely, and is suitable for monitoring all the machine rooms.

The invention discloses a three-dimensional-part-model version comparison system based on Creo software. The system includes a system main-control module, a source-model reading module, a comparison-model reading module, a model comparison module and a visualization module. The system main-control module is used for providing comparison information types and source-model and comparison-model storage paths, and sending control instructions and the like. The source-model and comparison-model reading modules read corresponding information of a source model and a comparison model, and send the same to the model comparison module. The model comparison module adopts a method of traversal to compare the corresponding information of the source model and the comparison model piece by piece according to a comparison information type. The visualization module adopts row-by-row pairing lists or a manner of three-dimensional visualization to carry out result difference display according to the comparison information type. According to the system, comparison efficiency of different design versions of three-dimensional rocket part models is improved, manpower operation burdens and error probability in a traditional-manual-manner comparison process are reduced, and a product development cycle is shortened.

An embodiment of the invention provides a video detecting method and a video detecting system. The video detecting method comprises the following steps of acquiring video features of a copyrighted video in advance by using a central node in a distributed system; extracting master video genes and distributing the master video genes to different calculating nodes; acquiring print genes extracted according to a video to be detected by using the calculating nodes; performing traversing comparison on all the print genes and the master video genes distributed for the print genes by using the calculating nodes, or performing traversing comparison on part of the print genes and all the master video genes distributed for the print genes; and judging whether the video to be detected is a copyrighted video or not according to comparison results of the different calculating nodes. By the embodiment of the invention, the video detecting efficiency is improved.

The invention relates to a method for searching marked human facial features and a method for comparing human faces. Gray difference exists between obvious features such as moles, color mottles, birth marks, etc., on a human face and the color of surrounding skin, so that a human face to be searched is firstly converted into a gray-scale map so as to form a human face gray-scale image when the obvious features are searched. The human face gray-scale map is divided into a plurality of searching sub-areas to improve the searching precision; average gray-level of each searching sub-area is recorded; each searching sub-area is searched; the image gray-scale of each searching point is calculated; and the calculated image gray-scale for each time and the average gray-scale of corresponding searching sub-area are compared to determine whether the corresponding searching point is the obvious feature of the human face. Therefore, the obvious features can be effectively searched. In addition, the comparison range can be reduced based on whether the human face has obvious feature during the process of comparison, thereby greatly improving the comparison speed and precision.

The invention discloses a real-time detection method and system for open-circuit fault of a CLLLC resonant converter, which belong to the technical field of online detection. The method comprises thesteps of collecting a voltage signal of a converter, carrying out the sampling of the voltage signal, carrying out the discrete integration, and obtaining a voltage integral maximum value, calculatingan estimated value of a voltage integral maximum value by using the working frequency of a power tube in the converter and the DC bus voltage, and judging whether a power tube in the converter failsor not according to the difference between the voltage integral maximum value and the estimated value of the voltage integral maximum value. The method is suitable for detecting the open-circuit faultof the power tube in the CLLLC resonant bidirectional DC / DC converter controlled by frequency modulation, and has the advantages of low cost, high detection precision, high speed, high real-time performance, good robustness and strong anti-interference capability.

The invention relates to a fingerprint identification method based on central point vector correlative block; pre-stored template fingerprint data is used as the comparison reference data, which is a fingerprint array scanning image used for recording fingerprint indifference full-code data. A special calculation method is introduced for fingerprints waiting for comparison: first center points are positioned, then the center points are used as the circle center to expand into a block, then the center points are used as a reference to draw four vector lines in different directions; the nearest center point on the line is extracted; the fingerprint value is read; and finally fingerprint values in block and at all center points is processed to form a data set. The data set is searched and compared with the template reference data; the comparison result is compared with the judgment threshold; if the corresponding point is higher than the threshold, a pass is returned, and if the corresponding point is lower than the threshold, a rejection is returned.

The invention provides a similar video retrieval method based on Lucene. The similar video retrieval method comprises the steps that S1, a Lucene video indexing library is established at different nodes of a cluster respectively; S2, sample videos for retrieving similar videos are obtained, and meanwhile retrieval is performed in each Lucene video indexing library to obtain result videos similar to the sample videos respectively; S3, the result videos of all the nodes are collected, arrangement is performed according to similarity coefficients to form a result video set, and the result video set is output. The invention further provides a corresponding system. By implementing the method, the nodes perform retrieval simultaneously during retrieval, the retrieval speed is improved, and the retrieval quality is ensured. In addition, by using the Lucene as a retrieval engine and using a cosine similarity algorithm to calculate video similarity, the comparison speed is accelerated, meanwhile the preprocessing time in the video retrieval process is shortened by pre-establishing the Lucene video indexing libraries, extracted video frames are compressed to decrease the calculation quantity for frame comparison, and the comparison speed is further improved.

The invention relates to a document comparison method and device, a storage medium and electronic equipment. The method comprises the steps of acquiring text content in a first document and text content in a second document; determining a common data block between the text content of the first document and the text content of the second document to obtain a first common data block sequence belonging to the first document and a second common data block sequence belonging to the second document; determining the character attribute information of the first common data block sequence according tothe index of the character attribute information in the first document, and determining the character attribute information of the second common data block sequence according to the index of the character attribute information in the second document; and comparing the character attribute information of the first common data block sequence with the character attribute information of the second common data block sequence to obtain attribute difference information of the common data blocks between the first document and the second document.

The invention provides a background thermal runaway early warning method based on big data according to a variation curve. The method comprises the following steps: analyzing and obtaining factors forinducing thermal runaway of a battery pack by collecting thermal runaway cases and test data; analyzing the data of the battery pack before thermal runaway to obtain the variable quantity of the battery pack every 500 mS before thermal runaway; establishing a corresponding type of battery cell fault module model according to various factors inducing thermal runaway, arranging and summarizing a database, calculating the variation of each acquisition quantity in the minimum period, forming a variation curve of the acquisition quantity corresponding to each battery cell, comparing curves of normal battery cells and problem battery cells, finding out curve characteristics of the problem battery cells, forming a problem battery cell variation curve model database, and storing the problem battery cell variation curve model database to a background controller; and calculating the variation curve of the real-time data acquisition quantity, comparing the variation curve with the curve model database, and when the similarity of the variation curve of the real-time data acquisition quantity and the data inventory of the variation curve of the problem battery cell exceeds 60%, judging that the string battery cell has a thermal runaway risk, and carrying out early warning in advance.

The invention discloses an identity identification method and system. A first visible light face image obtained in real time is compared with a face registration image in preset user registration information, after the comparison is succeeded, the face registration image is replaced by the infrared face image obtained in real time, the corresponding authority is added in the user registration information, the defect that in the existing identity identification method, the difference between the face image obtained in real time and the face image stored in the server can increase along with time is collected, and therefore the technical problem that identification is difficult or failed caused by the defect is solved.

The invention relates to a large-scale palm print coding and comparison method. The method comprises: image rotation and translation are carried out on a large-scale registered palm print image and a to-be-identified palm print image according to a unified coordinate system; each palm print image is cut into a plurality of palm print image blocks according to a certain dimension, wherein palm print image blocks cut from the registered palm print image are named as registered palm print image blocks and palm print image blocks cut from the to-be-identified palm print image are named as to-be-identified palm print image blocks; for each palm print image block, a feature matrix and a detailed node matrix are constructed; a palm print fast screening tree is constructed; and with the feature matrixes and detailed node matrixes of the palm print image blocks, all to-be-identified palm print image blocks are retrieved in the fast screening tree to obtain registered palm print image blocks having feature evaluation indexes similar to those of the to-be-identified palm print image blocks, and on the basis of an ownership between the palm print image blocks and the palm print images, a registered palm print image most similar to the to-be-identified palm print image is selected as a finally identified palm print image.

The invention discloses a quick response access control method and system. The method comprises steps that S1, a user biological characteristic database is established; S2, other identity identification systems and the user biological characteristic database are utilized to establish a priority comparison database; S3, a secondary comparison database is formed according to the user biological characteristic database and the priority comparison database; S4, the user biological characteristic information is acquired; S5, the collected biological characteristic information is matched to the priority comparison database, if matching is successful, a door opening command is sent to control door opening, if matching is unsuccessful, the process proceeds to a S6; and S6, the biological characteristic information is matched with the secondary comparison database, if matching is successful, the door opening command is sent to control door opening, if matching is unsuccessful and fails, the process returns to the S4. The method is advantaged in that the comparison speed of biological characteristic identification access can be improved, the access user limit is enhanced, and thereby user experience is improved.

The invention provides a fingerprint identification and verification system and a method thereof. The fingerprint identification and verification system includes a Bluetooth fingerprint device, an application device, a fingerprint identification server, and an application control device. The Bluetooth fingerprint device captures a fingerprint image, extracts the minutiae data from the fingerprint image, and sends the minutiae data to the application device. The application device transmits the minutiae data and a verification request to the application control device and the application control device transmits the minutiae data to the fingerprint identification server to perform the fingerprint identification process. The fingerprint identification server sends a verification result on which the application control device depends to accept or refuse the verification request from the application device. As a result, the speed of the user's identification process can be increased by using the Bluetooth fingerprint device to derive the minutiae data.

The invention discloses a quick fingerprint comparison method and device used for a fingerprint lock. The invention can realize quick unlocking of a host, optimize average unlocking rate of guests, avoids erasion of host storage zone in frequency use and prolong use time of a storage as much as possible. The method is characterized in that fingerprint features of the host and the guests are stored separately and host library comparison is performed in sequence at first. If host library comparison is performed and matching success is indicated, a matching result is returned immediately and guest library comparison is saved. If host library comparison is performed and matching failure is indicated, guest library comparison is performed in sequence. During the whole process, host fingerprint feature storage sequence is not in dynamic adjustment. In guest library comparison, if matching success is indicated, the guest fingerprint feature rolls forward to the top of the guest library. Namely, storage according to a dynamic sequence of the last time use is made.

The invention relates to the technical field of information processing, and discloses an address similarity calculation method and an address similarity calculation system, which can effectively improve the address similarity matching accuracy. The method comprises the following steps: acquiring a first vector corresponding to a first address and a second vector corresponding to a second address,wherein each address comprises at least one binary sequence extracted from the corresponding address; According to the position of the binary sequence in the address, weighting is carried out, the similarity of the first vector and the second vector is calculated, and when weighting is carried out, the weight of the preceding binary sequence in the address is higher than that of the following binary sequence in the address.

The invention discloses a face recognition security system based on the Internet of Things and an operation method. The security system comprises a plurality of face recognition security cabinets based on the Internet of Things, a cloud server side and an operation control terminal, and each face recognition security cabinet comprises a control cabinet body and a plurality of storage drawers arranged in the transverse direction and the longitudinal direction; the control cabinet body is provided with an intelligent electric control lock controller, an RFID reader-writer, face recognition equipment and a router, and each storage drawer is provided with an intelligent electric control lock and an RFID antenna and used for storing a seal with an RFID electronic tag. The intelligent electric control lock is electrically connected with the intelligent electric control lock controller; the intelligent electric control lock controller is electrically connected with the face recognition equipment; the RFID antenna is electrically connected with the RFID reader-writer; the RFID reader-writer and the face recognition device are electrically connected with the router, and the router is connected with the cloud server side through a network. The invention further comprises an operation method of the face recognition security system based on the Internet of Things. The operation method comprises the steps: 1, collecting face feature values: 2, applying for recognition by the operation end; 3, recognizing and operating the security cabinet.

The invention researches a wide area dynamic personnel real-time trace positioning information overlaying fuzzy quick inquiry system, and aims to quickly inquiry the real-time positions and traces of dynamic personnel and realize quick search of suspects. According to the system, portrait acquisition is performed by means of wide transmission paths and powerful access resources of a wide area network (Internet); acquired portraits are structured and positioning information is overlaid; a network platform is formed through encoding; the portraits are input from a quick inquiry platform; and quick inquiry and positioning are performed in a way of searching images (portraits) with images (portraits), and automatic pop-up from a PGIS (Police Geographic Information System) map is realized. Through adoption of the system, quick inquiry of the real-time positions and traces of dynamic personnel can be well realized, and strong clues are provided for dynamic population management of public security organizations, social security administration and criminal detection work.