46results about How to "Realize automatic comparison" patented technology

The invention provides an android-platform-based automated testing method and an android-platform-based testing tool. The testing method comprises the following steps of: script recording: recording operation events and generating an executable script of an android platform; script execution: executing the executable script after an equipment object receives a command for executing the script; and result judgment: judging whether an automated example is adopted according to a script execution result. By adoption of the testing method, the event script is recorded and played back and interface elements are automatically compared to obtain a test result and realize automated testing, and the whole testing process only needs a tester to read the test result, so the method is accurate and fast to implement, and a lot of manpower and material resources are saved. The android-platform-based automated testing method and the android-platform-based testing tool can be used as fast automated testing method and tool which are widely used in the android program test industry.

The invention discloses a method for realizing result authentication through image comparison. The method includes the following steps that: S1, the photo of the identity card of a user is acquired; S2, living body identification is performed on the user; and S3, the archived and registered photo of the identity card is compared with each photo extracted from the living body identification, whether a person indicated by the identity card and the living user are the same person is judged, if one photo of the living user, which indicates a person different from the person indicated by the identity card, exists, the method returns to the S1, if persons indicated by all the photos are the same person as the person indicated by the identity card, it is confirmed that the person indicated by the identity card and the living user are the same person. According to the method, the accurate input of the identity information of the user can be realized through specific algorithms of optical recognition technologies; existing identity authentication business is used in combination, so that the content of identity authentication can be enriched and improved; the verification of a real person is realized through a living body detection system; automatic comparison of the person and the preserved photos of a population library is realized through person image comparison technologies, and therefore, identification efficiency is improved; and diverse terminals such as operating hall system terminal systems, PC sides, mobile phone clients, are adopted.

The invention belongs to the technical field of building design, and discloses a drawing display system and method for outdoor building design. The drawing display system for outdoor building design comprises a building drawing image acquisition module, a main control module, an image enhancement module, a modeling module, a building element extraction module, an identification module, a format conversion module, a comparison module and a display module. The binary files corresponding to the same building object of all floors are optimized through the modeling module, so that the building modeling efficiency is improved; meanwhile, the acquired architectural drawing to be compared is converted into a picture format image through a comparison module, automatic comparison of the building drawings is achieved under the condition that compatibility and calculation speed are guaranteed and the complexity degree of codes is reduced by adopting an overlapping comparison mode, automatic comparison results can be consulted easily, and then the examination efficiency of the building drawings can be improved easily.

The invention discloses a testing method and a testing system for aircraft parameter display results. The testing method comprises the steps that at the step S1, a test case is compiled or loaded; at the step S2, the test case at the step S1 is executed, and a source of data in the test case is formed; at the step S3, data corresponding to the test case is grasped from an airborne bus, and the data is compared with the source of the data in the test case; at the step S4, display data of a display picture of an avionic system is recognized, and a recognition result is compared with the source of the data in the test case; and at the step S5, the source of the data in the test case, analytical data of the airborne bus, and a list of the display picture recognition data are output. The testing system comprises a testing computer, an airborne display, a display control computer, the airborne bus, an airborne inertial navigation computer, an inertial navigation exciter, a reflective internal storage net, an atmospheric engine exciter and an airborne atmospheric computer. The testing method and the testing system disclosed by the invention have the advantages that testing efficiency of parameter display results of an avionic system is increased; and workloads of testing workers are reduced.

The invention relates to a method for determining the connection correctness of virtual terminals of an intelligent transformer station. The method forms two virtual terminal relation tables by using a standard virtual terminal relation table format and importing a virtual terminal relation table into a SCD model file, and compares the input correctness of external short addresses by means of a character comparison way. The method may realize automatic comparison of the information in a SCD file, effectively avoids erroneous manual virtual terminal connection, and remarkably improves the debugging efficiency of the intelligent transformer station.

The invention discloses an automatic identification method and system for water floating objects based on artificial intelligence. The method comprises steps of firstly constructing a feature number knowledge base of different ground objects represented by different kinds of floating objects in different bands; using the feature number knowledge base as a basis for classification, and using a classification method of the decision tree to classify floating object monitoring images; processing classification results after classification by a clustering process to obtain results of floating object recognition of the monitoring images; evaluating accuracy of recognition results of floating objects of the monitoring images; and finally, inputting the feature number knowledge base into a supportvector machine for training, and using a trained support vector machine model to automatically identify floating object information in the floating object monitoring images. The method and the systemare adapted to automatic identification of the floating object information in the images, thereby effectively and rationally organizing the floating object cleaning action, and being significant forensuring the navigation of the ship, the safety of the dam, the operation of the reservoir, and the like.

The invention provides a wafer test result comparison method and a wafer test result comparison system, and relates to the technical field of a semiconductor. The wafer test result comparison method comprises the following steps of: performing file format parsing on the first group of wafer test results and the second group of wafer test results; judging whether the wafer angles and the coordinates of the parsed data are matched or not; and regulating the wafer angles and the coordinates. The automatic comparison on the wafer test results can be realized, so that the comparison accuracy and the comparison efficiency can be improved. The wafer test result comparison system comprises a file format parsing unit and a wafer angle and coordinate regulating unit; the automatic comparison on the wafer test results can be realized, so that the comparison accuracy and the comparison efficiency can be improved.

The invention provides a network asset information collection and monitoring system, and belongs to the field of network security. The method comprises the following steps: performing sub-domain nameblasting on a main domain name to obtain a sub-domain name set; further, obtaining all network asset information corresponding to all IP addresses through ipwhois and port scanning; and classifying all IP addresses and all domain names, comparing all network information acquired by the IP addresses with open services with all network asset information acquired by the IP address of the master station, taking multiple values, classifying and inputting the multiple values into a useful network asset information list of the to-be-checked enterprise, and completely inputting other types of classifications. Middleware scanning is performed on a useful network asset information list, a vulnerability list corresponding to middleware information is pulled, and a vulnerability alarm is given. According to the invention, the classified network asset information in units of enterprises can be obtained through simple main domain name input, the network assets are subjected to security monitoring, the steps are simplified, and the method is simple and easy to implement.

The invention discloses an intelligent vaccine refrigeration storage system, and relates to the field of medical vaccine refrigeration storages. The intelligent vaccine refrigeration storage system comprises a refrigeration module, a conveying module, an electronic recognition module, a transferring module, a control module, a terminal management module and a data centre module; the data centre module comprises an electronic identification code database and a virtual storage location database; the control module is connected to the data centre module; the control module is connected to the refrigeration module, the conveying module, the transferring module and the electronic recognition module through data; the electronic recognition module is independently connected to the data centre module; the data centre module is connected to the terminal management module.

The invention discloses a language verification testing method, and a computer readable storage medium. The method includes the following steps: obtaining a reference language package, a target language package, and a standard translation file; respectively analyzing data of the reference language package, the target language package, and the standard translation file into the data in a form of akey value pair, and obtaining a first key value pair set, a second key value pair set, and a third key value pair set; performing a verification test of whether to translate according to the first keyvalue pair set and the second key value pair set; and performing a verification test of whether translation is correct according to the second key value pair set and the third key value pair. According to the method, the test efficiency and test accuracy of a language translation test can be improved, and a test process can be standardized.

The embodiment of the invention provides an iris collection method and equipment, and the method comprises the steps: collecting the current face image of a preset object when a verification device obtains the identity information of the face image stored in the preset object; Comparing whether the face image in the identity information and the currently acquired face image correspond to the sameperson or not; If the comparison result is yes, collecting an iris image and a face image of the preset object through an iris collection terminal; Verifying whether the face image acquired by the iris acquisition terminal and the face image acquired by the verification device correspond to the same person or not; And if the verification result is yes, associating the identity information of the preset object with the iris image. According to the iris acquisition method and device, automatic comparison of the face images of the user is achieved, automatic acquisition of the iris images is achieved according to the comparison result, the iris acquisition efficiency is improved, and the cost is effectively reduced.

The invention discloses an AES verification device based on UVM verification methodology. The device comprises: a sequence generation module, a register model, an adapter, an AHB system agent, an AHBbus interface, an AHB bus input monitoring agent, an AHB bus output monitoring agent, an AES reference module and a scoreboard. The AES is connected with an AHB bus and comprises an AES internal register, and the sequence generation module is configured to generate a randomized test vector sequence. The register model receives the test vector sequence and maps an AES internal register. The adapterconverts the test vector sequence into an AHB sequence which can be identified by the AHB system agent. The AHB system agent comprises an AHB sequence transmitter and an AHB bus driver. AHB bus interface operation information is sent to an AES algorithm model of the AES reference module, and a calculation result of the AES algorithm model is sent to the scoreboard. The AHB bus output monitoring agent outputs the operation result of the AES to the scoreboard, and the scoreboard compares the calculation result of the AES algorithm model with the operation result of the AES to verify the AES.

The invention discloses a method and a device for acquiring difference information between Net assemblies. The method for acquiring the difference information between the Net assemblies provided by the embodiment of the invention comprises the following steps: decompiling a first Net assembly and a second Net assembly according to constituent parts of divided Net assemblies to obtain a first decompiling result of the first Net assembly and a second decompiling result of the second Net assembly; extracting a decompiling result corresponding to each constituent part of the first Net assembly from the first decompiling result and extracting a decompiling result corresponding to each constituent part of the second Net assembly from the second decompiling result; comparing the decompiling result corresponding to each constituent part of the first Net assembly with the decompiling result corresponding to each constituent part of the second Net assembly respectively to obtain the difference information of the first Net assembly and the second Net assembly.

The invention provides a Chinese input method system with simplified and traditional Chinese contrasts. The Chinese input method system comprises an input module, a search module, a sorting module, a display module, a dictionary module and a dictionary management module, wherein the search module comprises a character search module and a word search module, the dictionary module comprises a simplified Chinese character dictionary, a traditional Chinese character dictionary, a simplified and traditional Chinese character dictionary and a custom phrase dictionary. The dictionary management module comprises an initial dictionary management module and a custom dictionary management module. According to the invention, a simplified and traditional Chinese storage structure and a contrast relationship thereof are designed to provide convenience for inputting with the simplified and traditional Chinese contrasts, so that the traditional Chinese can be recognized through the simplified Chinese, and the simplified Chinese is learned through the traditional Chinese, and meanwhile, in or doer to improve input efficiency, a radical code is added under four-word prompt to assist Chinese input, so that a rate of repeated codes is reduced, and the Chinese character input efficiency is improved. The Chinese input method system has the characteristics of high execution efficiency, strong learnability and strong expandability.

The invention discloses a device and method for printed circuit board detection based on a schematic diagram assertion. The device comprises a testing device, a control unit and a debugging mainframe, wherein the testing device comprises a finger test unit and an image colleting unit. The finger test unit comprises a finger test element and an electromechanical moving module. The finger test element is driven by the electromechanical moving module to move, so that a contact tip of the finger test element is in continuous contact with a designated location of a circuit board entity. The control unit is used for controlling the motion of the contact tip through the electromechanical moving module according to the distance between the contact tip and a test point on the circuit board entity. The debugging mainframe is used for sending to the control unit a control command of moving the contact tip and is used for reading data results, making a comparison between the data results and the assertion and displaying the results. The method is based on the detection device. The detection device has the advantages of being simple in structure, simple and convenient to operate and high in automation degree.

The invention discloses a sow estrus checking method and a sow estrus checking robot, the method applies the sow estrus checking robot, the sow estrus checking robot comprises an image collector and a body temperature measurer, and the method comprises the following steps: collecting a sow image through the image collector, importing the collected sow image into a pre-trained convolutional neural network to carry out convolution operation, identifying an oestrus feature part image of the sow; enabling a body temperature measurer to locate the position of the oestrus characteristic part image, and collecting the temperature information of the oestrus characteristic part of the sow through the body temperature measurer; predicting and identifying the oestrus key state of the sow according to the oestrus feature part image of the sow by utilizing regression analysis to obtain the oestrus key state information of the sow; and performing normalized data processing on the characteristic part temperature information and the oestrus key state information of the sow, and importing the information into a classifier for classification and identification so as to identify the oestrus state of the sow. The method can automatically check the estrus of the sow and judge whether the sow is in an estrus state or not.

The invention provides a substation telecontrol machine configuration information comparison method and system, and the method comprises the steps: collecting different types of configuration files; calling an analysis algorithm to perform text analysis on the configuration file; storing the analyzed configuration information into an analysis database according to a unified rule; and calling a corresponding text comparison algorithm to perform data comparison according to each piece of configuration information in the analysis database, and generating and outputting a comparison result. According to the method, automatic comparison of the configuration information of the telecontrol machine of the transformer substation is realized, the comparison efficiency is improved, and the comparisonaccuracy is improved by adopting a text comparison algorithm.

The invention relates to a test data comparison method and device. The method comprises the following steps: intercepting a first image and a second image from a test page, the test page being used for receiving input test data, the first image being used for displaying the first test data received by the test page, and the second image being used for displaying second test data obtained after storage operation is performed on the first test data; the first image and the second image are compared to obtain a comparison result, and the comparison result is used for indicating the difference between first test data and second test data; and sending prompt information carrying the comparison result. The technical problem that the comparison efficiency is low when the test data is compared issolved.

The invention discloses a pollution source identification method and device based on three-dimensional liquid chromatography fingerprints. The method comprises the steps of preprocessing a pollution source sample and a sample to be identified; collecting three-dimensional liquid chromatogram fingerprints of the pretreated pollution source sample and the sample to be identified, and pretreating the collected three-dimensional liquid chromatogram fingerprints; and establishing a pollution source identification model by using the pretreated three-dimensional liquid chromatogram fingerprints for pollution source identification so as to determine the pollution source to which the to-be-identified sample belongs. The device comprises a sample processing module, a fingerprint acquisition module and an identification module. The method is less in required equipment, small in sample size, rich in fingerprint information, low in cost and beneficial to large-scale popularization. The self-organizing neural network is utilized to realize automatic comparison and identification of three-dimensional liquid chromatogram fingerprints. The method has the characteristics of simplicity, intelligence and accuracy, and has important significance on source tracing of pollution sources.

The invention provides a configuration version management device and a working method thereof, and the device comprises a production version exporting module which is used for exporting configurationinformation from a production system and taking the configuration information as a configuration baseline of the batch; the production version import module is used for importing the configuration information exported from the production system into a development environment to serve as baseline configuration of the batch development; the configuration version comparison module is used for comparing the difference between the configuration information of the development environment and the configuration information of the production base line, highlighting the difference part, and synchronizing the configuration information of the production base line to the current development environment; the configuration version generation module is used for generating a configuration version accordingto the configuration information after the configuration item information is synchronized; the configuration version installation module is used for installing the configuration version in a development environment or a test environment; and the configuration version verification module is used for performing MD5 abstract encryption on the configuration version in the process of generating the configuration version, generating an MD5 value and storing the MD5 value in the configuration information.

The invention provides an anti-fake method and a system based on calligraphy and painting micro-texture which includes the following steps: A. selecting sampling points on genuine calligraphies and paintings, obtaining genuine calligraphy and painting micro-texture images of the sampling points through image capture devices, and saving the calligraphy and painting micro-texture images in a database; B. saving work property information and position information of the genuine calligraphies and paintings in the database; C. querying corresponding records in the database according to the work property information of calligraphies and paintings under identification, and reading the position information on the sampling points and the genuine calligraphy and painting micro-texture images of the corresponding records; D. obtaining under-identification-calligraphy-and-painting micro-texture images of the calligraphies and paintings under identification on the sampling points through the image capture devices; and E. comparing the under-identification calligraphy and painting micro-texture images with the genuine calligraphy and painting micro-texture images, if the images match with each others, the calligraphies and paintings under identification are genuine, otherwise, the calligraphies and paintings under identification are fake. According to the anti-fake method and the system based on calligraphy and painting micro-texture, the authenticity of the calligraphies and paintings under identification is determined by whether the micro-texture images of the sampling points match with the genuine calligraphy and painting micro-texture images or not, so that the anti-fake level is greatly improved.

The invention discloses self-service person, ticket and identity card consistency verification and recording integrated equipment and a method applying the same. The self-service person, ticket and identity card consistency verification and recording integrated equipment comprises an industrial control computer, an identity card reader used for reading identity card information, a bar code reader used for reading a bar code or a two-dimensional code on a ticket, a camera used for acquiring a portrait of a person to be verified, an examined stamp marking device used for stamping an examined stamp on the ticket, and an outer shell body, wherein the identity card reader, the bar code reader, the camera and the examined stamp marking device are connected to the industrial control computer; and the identity card reader, the bar code reader, the camera and the examined stamp marking device are all arranged on the outer shell body. By adopting the integrated equipment, self-service operations can be realized to carry out verification information entry, automatic acquisition of ticket, identity card and personal information is realized, automatic comparison of the information is realized, the labor intensity is greatly reduced, manpower and material resources are saved, the precision is high, and the integrated equipment is conductive to realize full coverage of public security verification.

The invention discloses SMT patch material intelligent management equipment, which comprises a main body, a single lamp label and a controller, wherein the main body comprises two groups of fixed plates and multiple groups of partition plates; the multiple groups of partition plates are arranged at equal intervals from top to bottom; the two groups of fixed plates are arranged at two ends of the groups of partition plates; the controller is arranged on the fixed plate; an ERP / MES system is arranged in the controller; a roadway lamp and the single lamp label are arranged on the fixed plate; thepartition plate is obliquely arranged and provided with a strip-shaped channel; aluminum profile plates are arranged at the front end part and the rear end part of the partition plate; a PCB lamp panel is arranged on the outer side of the aluminum profile plate; a plurality of LED indicating lamps are arranged on the PCB lamp panel in an embedded mode, and a tempered glass layer is arranged on the surface of the PCB lamp panel; the LED indicating lamp is a three-color indicating lamp; and the PCB lamp panel is in signal control connection with the ERP / MES system. Thus, the operation of quickly receiving and sending materials according to light indication is automatically realized, the plot ratio is improved, the warehouse size area is reduced, the inventory time is shortened, and errors in the material sending and feeding processes are avoided.

The invention relates to the field of block chains, and discloses a rule logic diagram comparison method and device, a medium and electronic equipment. The method comprises the following steps: respectively obtaining two rule logic diagrams to be compared; analyzing the first rule logic diagram and the second rule logic diagram to obtain structured data object tree information of each rule logic diagram; for each piece of second tree node information of the second rule logic diagram, comparing the second tree node information with the first tree node information of the first rule logic diagramto obtain comparison result information corresponding to the second tree node information; and returning the second tree node information of which the comparison result information is inconsistent tothe user through the front-end page. According to the method, automatic comparison of different rule logic diagrams is realized, so that a user can quickly discover differences among different rule logic diagrams, the troubleshooting time is reduced, and the efficiency is improved. Wherein the structured data object tree information of each rule logic diagram can be stored in the block chain.

The invention provides a program comparison method and system. The method comprises the following steps: respectively establishing a target function call graph corresponding to a target program and ato-be-compared function call graph corresponding to a to-be-compared program; obtaining a target anchor point in the target function call graph and a to-be-compared anchor point in the to-be-comparedfunction call graph; obtaining a target edge corresponding to the target anchor point and a to-be-compared edge corresponding to the to-be-compared anchor point, taking the function node at the otherend of the target edge as the target anchor point again, taking the function node at the other end of the to-be-compared edge as the to-be-compared anchor point again, and repeating the process untilall alignment anchor points are obtained; and judging whether the target program and the to-be-compared program have the same execution logic or not according to all alignment anchor points in the target function call graph and the to-be-compared function call graph. According to the method and system, the embedded representation is carried out on the edges in the sub-graphs by adopting the function call graph of the program and the neural network technology, so that the automatic comparison of the program is achieved.

The present disclosure provides an automatic SMT material loading method and related products. The method includes the following steps: the terminal receives the SMT work order loading request, and the material loading request includes: the identification of the work order, location information, and material number; The location information determines the loading target corresponding to the location, collects the picture of the loading target, identifies the picture of the loading target and determines the first item corresponding to the loading target; the terminal queries the second item corresponding to the material number, If the first item is the same as the second item, grabbing the first item from the position implements feeding of the first item. The technical solution provided by the application has the advantage of improving work efficiency.

The invention discloses a human face three-dimensional modeling method based on a binocular stereoscopic vision system. The method comprises the following specific modeling steps: S1, a parallax imaging process; s2, an image preprocessing process; s3, a feature positioning process; s4, a model transformation process; s5, a texture mapping process; s6, a three-dimensional face modeling process; s7, a three-dimensional face module data storage process; according to the invention, a binocular stereo vision system is adopted to extract feature points of a standard three-dimensional face and a target three-dimensional face. Meanwhile, scale normalization and light compensation processing of an image are completed; the alignment operation of all points can be completed at a time, the calculation efficiency is further improved, and the convergence of the resampling process is ensured; feature points are automatically extracted by using an existing feature point extraction method and a grid division method, so that automatic comparison of human faces and data acquisition and storage are realized; the three-dimensional face modeling method is high in automation degree, further improves the fineness of three-dimensional face modeling, and has good market application value.