70results about How to "Avoid matching errors" patented technology

The invention discloses a pedestrian re-identification method. The method comprises steps of pedestrian characteristic extraction and pedestrian characteristic tolerance, for pedestrian characteristic extraction, image color histograms are extracted through employing sliding windows, main colors are expanded, statistics of appearance frequency of each color mode is carried out at each sliding window, sum of relatively larger frequencies is taken as characteristic output of the color, traversal of an integral image is carried out through the sliding windows, and characteristics are formed after normalization; for more generalization matching, a search source is extracted from characteristics of a full body to a half body; for tolerance calculation, characteristic dimensions with a non-zero search image characteristic vector and to-be-searched-target characteristics are taken as an Euclidean distance, and interference of background factors under a complex scene is further reduced. The method is advantaged in that re-identification under the complex scene is carried out, properties of strong transportability for scene change, stable algorithm and fast speed are realized, a problem of poor quality of monitoring videos and to-be-searched databases can be effectively solved, and strong practicality is realized.

A vehicle-mounted terminal based navigation path correction method comprises the following steps of: acquiring destination information and current position information of a vehicle; planning a navigation path and starting navigation; starting a motion attitude recognition algorithm model when the vehicle drives to a vertical crossroad; calculating the motion attitude of the vehicle based on a vehicle attitude recognition signal; and correcting the navigation path by using the destination information, the current position of the vehicle and the motion attitude of the vehicle as parameters. By the adoption of the vehicle-mounted terminal based navigation unit and the navigation path correction method provided by the embodiment of the invention, navigation of a vertical traffic area can be accurately and effectively performed.

The invention provides an image denoising method, an image denoising device, a storage medium and electronic equipment, and relates to the technical field of image processing. The image denoising method comprises the steps of partitioning a to-be-processed image to obtain a plurality of image blocks; respectively determining a plurality of matching blocks corresponding to the current image block in a plurality of reference frames through multi-frame motion estimation; and performing weighted fusion on the plurality of matching blocks and the current image block to perform denoising operation on the current image block to obtain a target image corresponding to the to-be-processed image. According to the embodiment of the invention, the image denoising effect can be improved, and the image quality is further improved.

The invention discloses a video denoising method. The method includes the steps of obtaining at least one adjacent frame of a frame to be denoised in a video sequence; performing time domain denoising on each pixel point of the frame to be denoised, the time domain denoising including the steps of, for each adjacent frame of the frame to be denoised, obtaining matched pixel points of the pixel points of the frame to be denoised on the adjacent frame, and calculating the weights of the matched pixel points; and based on the weights of the obtained matched pixel points of the pixel points of the frame to be denoised on each adjacent frame, calculating the weighted average of the pixel points of the frame to be denoised and the matched pixel points thereof, so as to obtain pixel values of the pixel points of the frame to be denoised after time domain denoising. The invention also discloses corresponding calculation equipment and a computer storage medium.

The invention discloses an AGV (Automated Guided Vehicle) shelf recovery control method and control system. According to the AGV (Automated Guided Vehicle) shelf recovery control method and control system, a garment manufacturing execution system issues a shelf recovery instruction to an AGV control center; the AGV control center controls AGVs to carry empty shelves and return to a shelf recoveryarea; when the AGV control center controls the AGVs to pass an RFID detection device, the RFID detection device scans and detects the serial numbers of the shelves on the AGVs and the code informationof each empty material basket on the AGVs, and feeds back the serial numbers of the shelves and the code information of the empty material baskets to a storage control system; the storage control system controls the AGVs to go to an idle shelf recovery area; the AGV control center controls the AGVs to unload the empty shelves; the storage control system obtains the current states of the AGVs andfeeds back the current states of the AGVs to the garment manufacturing execution system; and the garment manufacturing execution system sets the corresponding container states of the received serial numbers of the shelves and codes of the material baskets to be recovered states and numbers a recovery point, and therefore, the recovery of the empty shelves is completed. With the AGV (Automated Guided Vehicle) shelf recovery control method and control system of the invention adopted, the AGVs can recover the shelves in a highly automatic manner, and production efficiency can be greatly improved.

The invention relates to a vehicle road real-time communication system and communication method based on a cellular network. The vehicle road real-time communication system based on a cellular networkincludes a vehicle-mounted-end communication component, and a central platform, wherein the vehicle-mounted-end communication component is used for acquiring vehicle information and motion parametersfrom a vehicle-mounted client in real time, transmitting the vehicle information and the motion parameters to the central platform, and performing information verification and delay correction on thecontrol signal data; and the central platform is used for receiving the location information data sent by the vehicle-mounted-end communication component to perform analysis, association and matchingon the location information data, and sending the control signal data to the vehicle mounted-end communication component. Compared with the prior art, the vehicle road real-time communication systembased on a cellular network has the advantages of being flexible in system deployment, being safe and controllable, being simple in development and maintenance, supporting independent development, being low in delay and high in reliability, being low in traffic consumption, being preferable in scalability, supporting communication technology evolution and the like.

The embodiment of the invention provides a target tracking method and a device, and a storage medium. The method comprises the steps of performing density clustering on current frame point cloud datato obtain at least one point cloud cluster; matching the point cloud cluster with at least one current target by adopting at least one matching mode to obtain a matching result, and marking a target corresponding to the point cloud cluster according to the matching result; wherein the matching result indicates that no current target is matched with the point cloud cluster, and the target corresponding to the point cloud cluster is a new target, or the matching result indicates the point cloud cluster matched with the current target one by one, and the target corresponding to the point cloud cluster is the current target indicated by the matching result; wherein the at least one matching mode comprises feature matching, space matching and matching according to a weighting result. The targettracking method of the invention can improve the accuracy of target tracking.

The invention provides an assisted reproductive information matching processing method. The method includes the steps that induction information, scanned by read-write equipment, of equipment entering an induction region is received, wherein the equipment includes an induction mark corresponding to unique identity information; when it is found that the identity information corresponding to the induction mark does not meet a preset matching relation, alarm prompt information is transmitted; when it is found that the identity information corresponding to the induction mark meets the preset matching relation, a next operation procedure preset according to the matching relation is displayed. Accordingly, the invention further provides a device and a system. According to the provided technical scheme, the accuracy of assisted reproductive information matching processing can be effectively improved.

The invention relates to an identical entity attribute matching method in land utilization spatial data processing, in particular to an attribute matching method based on geographic ontology in land utilization spatial data processing. The problems that in an existing identical entity attribute matching method, matching is wrong easily, and the application range is limited are solved. The attribute matching method based on the geographic ontology in land utilization spatial data processing comprises the following steps that 1, the geographic ontology is constructed, wherein the geographic ontology comprises an ontology class library, an ontology relational base and a knowledge base, and the specific construction steps comprise 1.1 construction of the ontology class library, wherein the ontology class library comprises land classification, administrative division, space coordinate systems and element types; 1.2 construction of the ontology relational base, wherein the ontology relational base comprises an object relational base and a value relation base; 1.3 construction of the knowledge base; 2, entity attribute matching is carried out. The method is suitable for land utilization spatial data processing.

The invention relates to a label matching method and device, a server and a storage medium, and belongs to the technical field of data processing. According to the technical scheme provided by the embodiment of the invention, the at least one second label to be matched is matched with the at least one first label stored in the tree data set; The tag matching process is carried out in the form of the tree data set, so that the automation degree of tag matching can be improved, the manual tag matching cost is greatly reduced, the matching error caused by manual matching can be avoided, and the accuracy of tag matching is improved.

The invention discloses a logistic vehicle loading control system based on the Internet of Things. Wherein, a lamp material distribution management system is used for sending a loading order to a logistic vehicle control device according to a material request submitted by a production station; the logistic vehicle control device is used for controlling a logistic vehicle to go to a carrier frame recycling region to load carrier frames and empty material baskets and to subsequently go to a material storage region to get a target material; scanning detection equipment is used for detecting the code of each carrier frame on the logistic vehicle, the code of each material basket on the logistic vehicle and position number information on each carrier frame and feeding back to a production station management system; the production station management system is used for binding the code of each empty material basket corresponding to a position number according to the priority of material request of the production stations and sending the binding information and the like to the material distribution management system so as to generate corresponding target material sorting and delivery information; and then the logistic vehicle reaches the corresponding material storage region to finish sorting and basket packaging of the target material. The logistic vehicle loading control system disclosed by the invention can realize high degree of automation of loading of the logistic vehicle in a lamp production process and greatly improves the production efficiency.

The embodiment of the invention discloses a communication protocol switching method, a data transmission method, a wireless sensor and a system. The communication protocol switching method comprises following steps of automatically switching the communication protocol of the wireless sensor from a first communication protocol to a second communication protocol when the wireless sensor can obtain electric energy from a wireless charging base; and transmitting stored data to the wireless charging base through the second communication protocol when the wireless sensor establishes communication connection with the wireless charging base. According to the methods, the sensor and the system, when the wireless sensor is charged, the communication protocol is automatically switched, and therefore the data stored by the wireless sensor can be transmitted to the wireless charging base. Compared with the prior art, the methods, the sensor and the system have the advantages that the communication protocol can be automatically switched, the data is transmitted, matching errors are avoided, and therefore data loss is avoided.

The invention is suitable for the technical field of offline map matching, and provides an offline map matching method and device based on turning points and terminal equipment, and the method comprises the steps: obtaining a moving track of a floating vehicle, i.e., N GPS positioning points based on timestamp sorting; identifying turning points in the moving track to divide the moving track intoM sub-trajectories; performing matching according to the GPS positioning points at the two ends of the M sub-tracks to obtain a starting node and a destination node of each sub-track; constructing a candidate matching sub-network based on the mth sub-track segment; utilizing a candidate matching sub-network corresponding to the mth sub-track to perform matching calculation on the mth sub-track toobtain K shortest paths from the starting node to the destination node as K candidate sub-paths matched with the mth sub-track; and selecting an optimal matching sub-path for each sub-track, and finally connecting the M optimal matching sub-paths to obtain a final matching path matched with the moving track. According to the invention, matching efficiency and matching precision can be improved.

The invention provides a method and device for configuring ACL (Access Control List) rules. The method comprises acquiring a changed label when the label is changed, and updating, according to the changed label, a preconfigured label in the ACL rules. Embodiments of the present invention can realize dynamic changes of the label configured in the ACL rules and prevent erroneous or invalid matching.

The invention discloses a human body posture estimation method, device and equipment and a storage medium, and relates to the technical field of computers, in particular to the technical field of image processing. According to the specific implementation scheme, a to-be-estimated picture is input into a pre-trained deep learning network, a depth map corresponding to the to-be-estimated picture andkey point thermodynamic diagrams corresponding to all limb parts, which are output by the deep learning network, are obtained, two-dimensional information of the key points of the limb parts is determined according to the key point thermodynamic diagrams, depth information of the key points is determined according to the depth map, and the two-dimensional information and the depth information ofthe key points are output as a human body posture estimation result. The depth map and the key point thermodynamic diagram are output through the deep learning network, the three-dimensional information including the two-dimensional information and the depth information is obtained according to the depth map and the key point thermodynamic diagram, comprehensive understanding of the human body posture is achieved, and the accuracy of human body posture estimation is improved.

The invention relates to a physical fitness training cloud-data acquiring system and method. The physical fitness training cloud-data acquiring system comprises an electrocardiogram instrument, client sides and a server database, wherein the electrocardiogram instrument is used for acquiring electrocardiosignals of human body, converting the electrocardiosignals into electrocardio information of the human body and transmitting the electrocardio information of the human body to the client sides; the client sides are used for acquiring reference data information from the server database, calculating and displaying first conclusion data, transmitting the same to the server database and acquiring diagram data from the server database and displaying the same; the server database is used for calculating and storing second conclusion data and generating diagram data according to the first conclusion data and the second conclusion data. By cloud computing and storing synchronous with a far-end database, acquisition, operation and storage of physical training data are simpler, electrocardio sign indexes of a single person or many people can be acquired and displayed in real time, and quantizing references can be provided for personal or team training of physical fitness.

The invention discloses a computer interlocking system communication method based on coding. The NISAL technology, the VCP technology and the CRC technology are comprehensively applied; redundant coding and timeout judgment of the communication message are realized; the integrity and timeliness of the data are ensured; the conversion among the codes is assisted by a compensation value in an offline data mode; instruction failure and matching errors are prevented; a pure coding mode is adopted to realize security protection of the communication message; the method is suitable for single-core and multi-core CPUs; requirements for an operating system are reduced, two different real-time operating systems are not needed, a single authentication real-time operating system is not needed, only one real-time operating system is needed, requirements for a compiling system are reduced, two different compilers are not needed, a single authentication compiler is not needed, only one universal compiler is needed, and portability is achieved.

The invention provides a high-precision navigation method, system, medium, and vehicle terminal based on a vehicle-mounted camera device. The method comprises the following steps: obtaining a real-time road condition image obtained by the vehicle-mounted camera device; obtaining lane information of a current driving road according to the real-time road condition image; and according to the road information, vehicle positioning information, and electronic map data, performing path navigation based on the lane information. According to the high-precision navigation method, system, medium, and vehicle terminal based on the vehicle-mounted camera device, more accurate navigation is performed according to real-time road condition information obtained by the vehicle-mounted camera device, whichgreatly improves the user experience.

A paperless sorting method comprises a database, a handheld information display terminal, a handheld barcode identification terminal, a printing device, and goods sorting racks. Each goods sorting rack is composed of a plurality of order baskets. Each goods sorting rack has a first-level identification barcode. Each order basket has a second-level identification barcode. Based on the database, the handheld information display terminal, the handheld barcode identification terminal, the printing device and the goods sorting racks are arranged. Operators carry out operation independently to transmit data in a multi-level manner and collect data. Based on the handheld barcode identification terminal, information and the goods sorting racks are bound together. Each goods sorting rack is provided with second-level barcode order baskets. The order baskets are bound to buyers, so that participation of non-current wave of buyers or goods is prevented, and confusion in buyers and goods is reduced. Each order basket is provided with a second-level barcode, reverse statistical check is carried out by scanning the second-level barcodes, and goods confusion before distribution is completed eliminated.

The invention discloses a value domain data matching method, a value domain data matching device and a related product. The method comprises: acquiring a to-be-matched operation name in to-be-matchedvalue domain data; processing the to-be-matched operation name to obtain a to-be-matched feature vector group; and obtaining a matching result by utilizing a pre-trained data matching model and the to-be-matched feature vector group, so that the data matching model obtained through training can match a national standard operation name according to a non-national standard operation name, determinethe specific classification situation of the national standard operation name in a value domain classification tree and reflect the specific classification situation through a node index value, and indexing is performed by utilizing the matching result to obtain the national standard operation name matched with the to-be-matched operation name and determine the specific classification situation ofthe matched national standard operation name in the value domain classification tree. Compared with the prior art, the method of the invention has the following characteristics that manual labor is effectively saved, matching efficiency is improved, and the anti-interference performance of matching can be improved so as to improve the matching accuracy of the value domain data.

The invention relates to a data recommendation technology, and provides a word bank-based matching recommendation method, an electronic device and a storage medium. The method comprises the followingsteps: reading an object name and object attribute data from a preset database; converting the read object name and object attribute data into a vocabulary list and adding the vocabulary list into a predetermined word bank; performing word segmentation processing on the read object name; adding each word after word segmentation into a matched word set in a word bank; establishing a multi-level index table for words matched with the word set, and receiving a to-be-matched object name input by a user, performing word segmentation processing to obtain an initial word set, matching the initial word set with the multi-level index table to obtain a target object set matched with words in the initial word set, screening out objects from the target object set based on a plurality of preset screening conditions, and recommending the objects to the user. According to the method, the memory space required by the matching process can be reduced, the calculation time is shortened, and rapid fuzzy matching under a large-batch data scene is realized.

The invention provides a mobile terminal data acquisition and processing method in a flexible production dispatching and multi-work-report mode, which comprises the following steps: step 1, a worker inputs a worker number, and a process number corresponding to the worker number is automatically extracted; 2, material codes are scanned, the starting time of the worker in the process is recorded, and meanwhile, whether the material belongs to a finish machining part mode or a batch part mode is judged based on the material codes, and 3, after the process is completed, the material codes are scanned, and the finishing time of process treatment of the worker is recorded; step 4, the quality inspection personnel inspects the process completion quality; step 5, adjusting the process receiving quantity based on a process receiving check formula; and step 6, outputting worker salaries based on a process accounting formula. According to the method, operators are logically associated with processes, work reporting, checking and cost accounting are integrated, the pressure of manual work reporting of workers and manual accounting of human resources is relieved, and the work reporting efficiency is improved.

The invention discloses a long-range and close-range image combined photovoltaic module positioning and matching method. The method comprises the following steps: establishing a three-dimensional model of a photovoltaic power station; shooting a long-range image and a close-range image; identifying a photovoltaic module in the long-range image, and selecting feature points; calculating the position information of the feature points according to the GPS information and the camera attitude information of the shooting points and the three-dimensional model of the photovoltaic power station; correcting the position information of the shooting point according to the position information of the feature point; matching corresponding areas of the close-range image and the long-range image; detecting an abnormal photovoltaic module in the close-range image, and carrying out positioning and matching in a three-dimensional model of the photovoltaic power station. According to the method, the photovoltaic module distribution information of the long-range images and the photovoltaic module local information of the close-range images are fully combined, positioning and matching of the photovoltaic modules are effectively achieved, and the method can be used for shooting and inspection of the unmanned aerial vehicle of the photovoltaic power station.

The invention discloses an image matching method, an application testing method, a device and a system. The image matching method comprises the following steps: obtaining a plurality of scaling images of a screenshot; for each zoomed image, determining at least one alternative matching area matched with the template image to be matched in the zoomed image and the similarity between the alternative matching area and the template image; and determining the most similar alternative matching area as the matching area of the template image according to the similarity between the alternative matching area and the template image. The matching area of the template drawing can be accurately determined for screenshots with various resolutions.

The invention discloses a method and device for controlling a mechanical arm. The method is used for accurately determining three-dimensional coordinates of a clamping point so as to realize a stableand robust clamping process. The method comprises the steps that an image of the environment where a cooking object is located is acquired, and the image comprises an infrared thermal image and a depth image; the edge of the cooking object is determined according to the infrared thermal image; the three-dimensional coordinates of the clamping point are determined according to the edge of the cooking object and the depth image; and an instruction is sent to mechanical arm control equipment according to the three-dimensional coordinates of the clamping point, so that the mechanical arm control equipment can control a mechanical arm to move and clamp the cooking object at the clamping point.

The invention discloses a remote control key matching method, wherein the remote control key matching method comprises the following steps of S1, generating a first corresponding extraction code according to chip information of a remote control key chip; S2, generating a second extraction code corresponding to mechanical key information; S3, assembling the remote control key chip together with a mechanical key and generating a third extraction code according to the first extraction code and the second extraction code; S4, obtaining the corresponding chip information and the mechanical key information according to the third extraction code; and S5, inputting the chip information and the mechanical key information, which are obtained in the step 4, into a corresponding automobile body controller. According to the remote control key matching method, the false matching risk of a remote control key can be effectively avoided and the matching efficiency of the remote control key can be enhanced.

The invention discloses a water area measurement method and system based on monocular and binocular vision collaboration. The method includes the steps: shooting, by a binocular camera, a binocular image pair comprising a left-eye image and a right-eye image; matching the feature point pairs, calculating sparse parallax points in a water area of the left-eye image and the depth value of each sparse parallax and forming a pixel point set with effective depth values in the water area of the left-eye image; distributing a corresponding depth propagation area for each pixel point with an effective depth value, and cooperatively reckoning the depth value corresponding to each pixel point based on monocular and binocular vision; and calculating the actual area represented by each pixel grid according to the depth value of each pixel point, and accumulating the areas of all pixel grids in the water area in the left eye image to complete the water area measurement. The invention provides a convenient and accurate water area measuring method based on machine vision, solves the problem that the traditional artificial water area measuring method is time-consuming and labor-consuming, and has higher engineering application value.

The invention discloses a multi-platform point cloud matching method based on surface features, and belongs to the technical field of mobile measurement point cloud matching. The method comprises thefollowing implementation steps: acquiring point cloud data of a target object, performing data denoising preprocessing, and converting a preprocessed original point cloud coordinate system into a local coordinate system which takes a gravity center as an origin of coordinates and has an invariable coordinate axis direction; uniformly selecting three pairs or more than three pairs of matching planes from the acquired point cloud data, performing plane fitting by adopting a robust RANSAC algorithm to extract plane parameters (A, B, C and D) of a common plane, and performing flatness evaluation on the plane point cloud; based on the plane parameters of the three pairs or more than three pairs of corresponding planes, converting the rotation parameters into a non-linear model, then performinglinearization processing, keeping the translation parameters unchanged, and performing parameter solving by adopting an overall least square method; evaluating the correlation of the to-be-registeredplanes based on the correction number of the adjustment result, and reselecting the planes which do not meet the requirements; and completing point cloud matching based on the coordinate conversion model.

The invention discloses a logistics vehicle management system based on Beidou foundation enhancement and Internet-of-things fusion. The logistics vehicle management system comprises a logistics vehicle control device, a luggage carrier recycling area, a luggage carrier passing area and scanning detecting equipment. The logistics vehicle control device is used for making a logistics vehicle go to the luggage carrier recycling area for transporting luggage carriers and material baskets and go to a material storage area for taking target materials according to a target material warehouse-outing instruction, makes the logistics vehicle dispense the target material the position of a target station, and making the logistics vehicle transport empty luggage carriers and material baskets to the luggage carrier recycling area when a signal which is fed back from a production station management system and represents material taking finishing of the target station is received. The scanning detecting equipment is used for detecting the luggage carrier code and the material basket code on the logistics vehicle and transmitting the luggage carrier code information and the material basket code information to the production station management system. The logistics vehicle management system can realize high automatic degree in logistics vehicle transportation and luggage carrier management in alamp manufacture process and greatly improves production efficiency.

The invention provides a terminal firmware upgrading method and device. The terminal firmware upgrading method and device are used for solving the problem that in the prior art, related information of terminals is prone to being wrongly matched when multiple terminals are upgraded at the same time. The terminal firmware upgrading method includes the steps of setting upgrading identification on a terminal, recording upgrading operation results of the terminal in different modes in the upgrading process corresponding to the upgrading identification, obtaining the upgrading operation results according to the upgrading identification, and executing upgrading of the terminal in the current mode according to the obtained upgrading operation results. By means of the scheme, the problem that terminal information is wrongly matched when multiple terminals are upgraded at the same time is solved, and the terminal firmware upgrading efficiency is improved.