1199 results about "Location detection" patented technology

The invention discloses a power distribution network line fault positioning detection system, and relates to the technical field of power distribution network fault detection. The system comprises a mixed information acquisition layer, a fault feature extraction layer, an intelligent diagnosis layer and a fault positioning layer. The mixed signal acquisition layer comprises a high-frequency transient wave recording unit, a power frequency measurement unit, a wireless pulse sensor and a distributed optical fiber temperature measurement unit; the fault feature extraction layer comprises a time-frequency analysis module, a preprocessing module and a three-dimensional feature vector module; the intelligent diagnosis layer comprises a convolutional attention network, a space-time diagram neural network and a transfer learning module; the fault positioning layer comprises a particle swarm module and a fuzzy reasoning module. According to the invention, data information of the cable is acquired through the mixed information acquisition layer, a video analysis window function is dynamically matched with signal characteristics, a time domain graph scale, a frequency domain resonance component and a space field intensity gradient are constructed, fault diagnosis and positioning are carried out by using the intelligent diagnosis layer, and the fault positioning detection efficiency of the power distribution network is improved.

Methods and apparatus for determining a position of an intracardiac blood pump in a patient are described. The method includes receiving from at least one capacitive sensor associated with a cannula of the intracardiac blood pump, at least one capacitive signal, determining a position of the intracardiac blood pump in the patient based, at least in part, on the at least one capacitive signal, and providing an indication of the position of the intracardiac blood pump on a user interface of the circulatory support device.

Detection of microplastics is accomplished using a combination of techniques. A position-detection technique such as crossed-polarization detection, autofluorescence detection, or photothermal infrared imaging is used to determine the locations of microplastics in a sample. Infrared absorption can be detected at those locations to characterize the microplastics. In this way the microplastic content can be located and characterized more quickly and accurately than using conventional techniques.

Systems and methods for automating the management of a warehouse are disclosed. The method includes monitoring. in real-time, a plurality of items in the warehouse, a plurality of tasks associated with the warehouse, and / or incoming vehicles to the warehouse. The method also includes receiving, via a plurality of sensors, image data and / or video data associated with the plurality of items, the plurality of tasks, and / or the incoming vehicles. The method further includes inputting the image data and / or the video data into a machine learning model to automate the management of the warehouse, wherein the machine learning model has been trained based on training data to generate predictions for the inputted data, and wherein the machine learning model utilizes the predictions for the inputted data for retraining to generate predictions for newly inputted data and improve accuracy of error handling.

A device is configured to identify a first pixel location within a first plurality of pixels corresponding with an item in a first image and to determine a first (x,y) coordinate. The device is further configured to identify a second pixel location within a second plurality of pixels corresponding with the item in a second image and to determine a second (x,y) coordinate. The device is further configured to determine that the distance between the first (x,y) coordinate and the second (x,y) coordinate is less than or equal to the distance threshold value, to associate the first plurality of pixels and the second plurality of pixels with a cluster for the item, and to output the first plurality of pixels and the second plurality of pixels.

The invention relates to a ship berthing position detection method and system based on shore end laser radars, and the method comprises the steps: deploying a plurality of laser radars at a shore end, and collecting original point clouds in parallel through an asynchronous thread model; constructing a rigid transformation matrix based on the radar installation attitude parameters, and further generating fusion point cloud data under a unified world coordinate system; then extracting 3D geometric edge points in a preset range of the front edge of the wharf as near-shore point cloud data, and further calculating the minimum ship-shore distance; based on the ship bow direction and a preset segmentation threshold value, the coastal point cloud data are segmented into ship bow area point cloud and ship stern area point cloud in the x-axis direction, the coordinate mean value of the ship bow area point cloud and the ship stern area point cloud is calculated and compared with an expected position in a wharf operation system, and berthing accuracy is judged; and the drift distance is calculated in real time, the drift distance, the attitude angle and the change rate of the attitude angle are compared with corresponding preset threshold values respectively for graded early warning and drift alarm, and high-precision ship berthing position dynamic detection is achieved.

The invention belongs to the field of robot and computer vision, and particularly relates to a visual SLAM (Simultaneous Localization and Mapping) back-end optimization technology based on a data self-adaptive iterative reweighted robust kernel. Comprising the following steps: S1, a front-end data reading and processing module: a robot carries a camera to collect an image, performs feature extraction and feature matching on the image, and generates an initial camera pose and map points; s2, a rear-end optimization module: according to the initial camera pose and map point generated at the front end, calculating a median absolute deviation in an adaptive strategy, calculating a robustness parameter, then substituting the median absolute deviation and the robustness parameter into a target function, simplifying the target function by using an iterative reweighting strategy, and finally solving the optimal camera pose and map point by using an L-M algorithm; s3, the loopback detection module detects loopback according to whether the robot reaches a previous position or not, and transmits information to a rear end for processing; and S4, constructing a map module: constructing an environment map according to the optimized camera pose and map points.

The invention discloses an engineering drawing label automatic identification method and system based on template matching. According to the method, an existing drawing is utilized to make a drawing label template library, and a drawing label position detection model, a drawing label classification model and a drawing label text recognition model are trained respectively; for the target drawing, using the drawing label position detection model to position the coordinate position of the drawing label, and cutting to obtain a to-be-identified drawing label; determining a picture label template style to which a to-be-recognized picture label belongs by using the picture label classification model, and acquiring text content and position coordinates of a textbox in the to-be-recognized picture label by using the picture label text recognition model; and acquiring an attribute value of the corresponding textbox in the to-be-identified signature by utilizing the position information and the structural relationship between the template signature attribute and the attribute value textbox and the drop point position of the central point of the attribute value textbox in the to-be-identified signature, and realizing the correspondence between the attribute and the attribute value. According to the invention, accurate identification of the drawing label is realized in a more intelligent and efficient manner, and manpower and time costs are reduced while the precision is ensured.

The invention relates to a position detection method and device for a tiny target object in an image, equipment, a storage medium and a program product, and relates to the technical field of computer vision. By adopting the method, the detection precision and accuracy of the tiny target object can be improved. The method comprises the following steps: identifying a large object logically related to a tiny target object in a to-be-detected image according to scene description information; inputting the target image of the large object into a convolutional neural network to obtain a feature map, and determining a plurality of first candidate regions in the feature map; carrying out confidence coefficient prediction on the plurality of first candidate regions, sorting the first candidate regions according to confidence coefficient scores, and screening out a plurality of second candidate regions of which the confidence coefficient scores meet a score threshold condition; predicting the probability and the position of a tiny target object in the second candidate area, and determining a target area in the second candidate area according to a prediction result; and performing boundary regression in the target area to obtain target position information of the tiny target object.

Systems and methods for tracking inventory items in an area of real space are disclosed. The method includes receiving a signal generated in dependence on sensors. The signal indicates a change to a portion of an image of an area of real space. The method includes, in response to receiving the signal, implementing a trained location detection model to determine, based on inputs, whether an inventory item identified in the portion of the image has changed a position in the area of real space. The method includes implementing a trained item classification model to determine a classification of the inventory item. The method includes updating an inventory database with inventory item data determined in dependence on the classification of the inventory item to provide an updated map of the area of real space as a result of the received signal indicating the change to the portion of the image.

The invention provides a multi-source information fusion unmanned aerial vehicle marine target tracking method and system, and relates to the technical field of data processing, and the method comprises the steps: obtaining image data, and extracting the features of a target region; unmanned aerial vehicle attitude data, radar position detection data and AIS identification data are obtained, attitude disturbance correction is executed, and time axis alignment is performed on the data; calculating the visual feature matching offset of the adjacent frames, and comparing the visual feature matching offset with the radar azimuth change trend; constructing a candidate target spatial position set, and executing distance convergence screening and spatial overlapping constraint processing of a geometric projection range on the candidate target spatial position set; motion direction continuity comparison is executed, and target position data is generated; generating a track control instruction for controlling the flight direction and speed of the unmanned aerial vehicle according to the target position data, and adjusting the subsequent flight path of the unmanned aerial vehicle according to the track control instruction; according to the invention, autonomy and accuracy of unmanned aerial vehicle marine target tracking are improved.

The invention provides a target position detection method, system and device and a storage medium, and the method comprises the steps: obtaining a conversion relation between a camera coordinate system of a monocular camera and a calibration plate coordinate system, the calibration plate coordinate system being a three-dimensional coordinate system established based on a calibration plate placed on a specified plane; acquiring a detection image shot by the monocular camera; performing depth estimation and target identification on the detection image, and obtaining a three-dimensional coordinate of a target in a camera coordinate system; converting the three-dimensional coordinate of the target in the camera coordinate system into the three-dimensional coordinate of the target in the calibration plate coordinate system based on the conversion relation between the camera coordinate system and the calibration plate coordinate system; and performing target position detection according to the three-dimensional coordinates of the target in the calibration plate coordinate system. According to the method and the device, the target three-dimensional coordinates in the camera coordinate system are converted into the calibration plate coordinate system, so that the visual angle can be converted into the visual angle perpendicular to the specified plane, errors caused by the visual angle are reduced, and the target position detection accuracy is improved.

The invention provides a resistivity value energy ray estimation method for a termite ant cave position of a reservoir dam, and the method comprises the steps: calibrating different types of reservoir dams, and taking a corresponding determined termite ant cave of the reservoir dam as a calibration position; detecting all calibration positions by using a transient electromagnetic detector to obtain sampling data, and taking the sampling data as a background value; detecting the whole dam body of the target reservoir dam by using a high-resolution transient electromagnetic detector, and calculating the net block-shaped apparent resistivity value of the whole dam body; and determining the termite cave position of the target reservoir dam according to the net block apparent resistivity value and the background value. After the specific reservoir dam is calibrated, the termite cave position of the corresponding dam can be determined based on the sampling data and the background value of the high-resolution transient electromagnetic detector of the reservoir dam, so that the precision and the efficiency of detecting the termite cave position of the reservoir dam can be improved under the condition that the reservoir dam is not damaged.

The invention provides a wafer position calibration system and method and wafer detection equipment, and the system comprises a position detection unit which is used for detecting the actual position information of a wafer on a carrying platform; the levelness detection unit is used for carrying out levelness detection on the carrying platform; the wafer calibration unit is used for calibrating the position of the wafer; the control unit is used for determining whether the current position of the wafer is within a position deviation threshold value or not according to the actual position information and preset target position information, controlling the levelness detection unit to perform levelness detection on the carrying table when the current position of the wafer is not within the position deviation threshold value, and judging whether the levelness of the carrying table is within a levelness deviation threshold value or not; and when the levelness of the carrying table is within the horizontal deviation threshold value, controlling the wafer calibration unit to calibrate the position of the wafer so as to move the wafer to a target position. According to the wafer position calibration system and method and the wafer detection device provided by the invention, the wafer position can be automatically calibrated.

This description describes a system for identifying individuals within a digital file. The system accesses a digital file describing the movement of unidentified individuals and detects a face for an unidentified individual at a plurality of locations in the video. The system divides the digital file into a set of segments and detects a face of an unidentified individual by applying a detection algorithm to each segment. For each detected face, the system applies a recognition algorithm to extract feature vectors representative of the identity of the detected faces which are stored in computer memory. The system applies a recognition algorithm to query the extracted feature vectors for target individuals by matching unidentified individuals to target individuals, determining a confidence level describing the likelihood that the match is correct, and generating a report to be presented to a user of the system.

The present invention relates to the field of new generation information technology, and discloses a method and system for improving the content recognition capability of physical real estate certificates. The method comprises S1: marking the position of real estate images to obtain a position data set; S2: constructing a training set, a verification set and a test set; S3: constructing a table position detection model, and sequentially building a position feature extraction network, a position feature fusion network, a position detection network and a non-maximum suppression network; S4: training, verifying and evaluating the detection capability of the detection model; S5: using the detection model to perform table position detection and text content recognition to obtain table position and text; S6: performing variable matching according to the position, content and the form template of real estate certification materials in various regions to obtain the recognition result of the real estate content. The system comprises a real estate image input module, a model training module, a text recognition module, a variable matching module and a real estate form content output module. The present invention can realize automatic and accurate recognition of the content of real estate certification materials.

The invention relates to the technical field of single-phase disconnection detection of an ungrounded system, in particular to a single-phase disconnection fault detection method and system based on wavelet transform. A plurality of detection points are arranged on a distribution line of the power distribution network; line voltage amplitude signals of all the detection points are collected, and a data set is formed; performing wavelet transform processing on the data set to obtain a detail coefficient corresponding to each detection point; comparing the absolute value of the detail coefficient with a preset threshold value to judge a broken line fault; and determining the position of the fault section according to the detail coefficients exceeding the preset threshold. The detection points comprise a main line detection point, a branch line detection point and an end point detection point, and the detection point spacing distance is set according to the line importance degree and load distribution; and performing signal processing by adopting Haar wavelet transform to obtain a threshold value based on a detail coefficient in a normal operation state. Through a method of combining wavelet transform and adaptive threshold determination, quick and accurate detection of a broken line fault is realized without traversing a network topology structure, and the calculation complexity is greatly reduced.

An end effector of a surgical instrument may be equipped with a limited (e.g., minimal) number of electrical pads that provides useful tissue presence and positioning information using a limited number of signals communicated between the electrical pads and a controller located remotely from the end effector.

The embodiment of the invention provides a network loop position detection method and system, a storage medium and electronic equipment, and the method comprises the steps: responding to the starting of loopback detection operation, generating a first loopback detection message, and enabling the first loopback detection message to carry first forwarding information corresponding to an output port of source equipment; a first loopback detection message is sent to forwarding equipment in the target network, the forwarding equipment is used for indicating equipment except the source equipment in the target network, and the first loopback detection message is updated by adding second forwarding information corresponding to the forwarding equipment; receiving the updated first loopback detection message, and adding first forwarding information corresponding to the ingress port of the source equipment into the first loopback detection message to generate a second loopback detection message; and detecting the network loop position of the target network based on the second loopback detection message. The problems that a loop confirmation scheme in a network is not visual enough, and specific equipment and interface information of the network loop cannot be determined are solved.

An embodiment user terminal includes an image acquisition part, a user interface configured to display an image photographed through the image acquisition part, a position detection sensor configured to detect a position of the user terminal, and a controller configured to determine a recommended point of interest (POI) among a plurality of POIs located around the user terminal, based on operation information about each of the plurality of POIs, a user's search history for a POI, and the user's POI scrap, and to control the user interface to display an augmented reality (AR) image corresponding to the recommended POI by superimposing the AR image on the image photographed through the image acquisition part.

The invention provides a dimension detection system and a dimension detection method for a fabrication hole, and relates to the technical field of workpiece detection, and the system comprises a camera, a target measuring tool with scales, and a controller. The target measuring tool is positioned on one side of the workpiece to be measured; scale lines on the target measuring tool are perpendicular to the center line of the workpiece to be measured. The workpiece to be measured is provided with at least one process hole; the camera is located right above the target measuring tool and the workpiece to be measured; the camera is connected with the controller; the target measuring tool and the camera are relatively static; the camera is used for collecting an image containing the target measuring tool and the auxiliary hole; and the controller is used for analyzing the image to obtain the size and the position of the fabrication hole. According to the technical scheme of the invention, the detection cost of the fabrication hole is reduced, the detection accuracy of the fabrication hole is improved, the resource utilization of the camera is optimized, the size and position detection efficiency of the fabrication hole is ensured, and the accuracy is improved.

[Problem] To quickly call a dispatched machine when a search object is detected. [Solution] A monitoring system 1 comprising: a monitoring machine 110 that searches for a search object in a monitoring target region F; a search object detection unit 1400 that is mounted on the monitoring machine, the search object detection unit 1400 detecting the search object; a search object position detection unit 1500 that acquires a position related to detection of the search object when the search object detection unit detects the search object; and a dispatched-machine request unit 2422 that transmits, to the outside, a detection position of the search object or a position to which the search object is predicted to move after the elapse of a prescribed time, and a request signal requesting an action of a dispatched machine 300 at the detection position or the movement prediction position.

A device configured to identify a first pixel location within a first plurality of pixels corresponding with an item in a first image and to apply a first homography to the first pixel location to determine a first (x,y) coordinate. The device is further configured to identify a second pixel location within a second plurality of pixels corresponding with the item in a second image and to apply a second homography to the second pixel location to determine a second (x,y) coordinate. The device is further configured to determine that the distance between the first (x,y) coordinate and the second (x,y) coordinate is less than or equal to the distance threshold value, to associate the first plurality of pixels and the second plurality of pixels with a cluster for the item, and to output the first plurality of pixels and the second plurality of pixels.

A method and associated device for locating wireless tags is described. The device comprises and IR transceiver, RF transceiver, thermal camera, and sensor array. The device is configured to emit and receive IR, RF, and BLE signals as well as determine and occupancy and other characteristics of a room the device is located in. In some embodiments, the method of determining the location of one or more wireless tags comprises, determining an occupancy of a room based on the occupancy data of the room. Location data of one or more wireless tags is received, the location data of each wireless tag indicating probabilities that the wireless tag is in a room. The locations of the one or more tags are determined, based on the location data and the occupancy.

The invention relates to a Raspberry Pi-based fault arc positioning detection and electrical fire early warning method, and belongs to the field of fault arc fire. According to the method, Raspberry Pi is used as a core processing unit, multiple types of sensors are integrated, and multiple kinds of alternating current and direct current load data are collected to establish a typical multi-dimensional data waveform library; deep processing is carried out on multi-time-frequency features and wavelet transform features of the signals in combination with a residual neural network, multi-dimensional features of a fault arc are comprehensively captured, and alternating-current and direct-current universal fault arc detection is achieved; multi-dimensional data are analyzed, and the arc danger level is evaluated through the time difference of fault arcs detected by different sensors, so that graded alarm is realized. Meanwhile, the Bayesian network is used for reasoning and judgment, and accurate positioning of the fault arc is achieved. Through cooperative work with the cloud host, a remote monitoring and management platform is established. The invention provides an electrical fire early warning solution which is intelligent, real-time and high in reliability.

The invention discloses a power cable fault type automatic identification and positioning detection method and system, and relates to the technical field of fault detection, and the method comprises the steps: collecting an electrical parameter signal of a power cable and electromagnetic field distribution data outside a line, constructing a double-domain feature space of a cable operation state, and executing the spatial-temporal feature decomposition, forming an electrical characteristic sequence and an electromagnetic field characteristic spectrum, and respectively inputting the electrical characteristic sequence and the electromagnetic field characteristic spectrum into a fault type identification module and a fault position prediction module; the fault type identification result generated by the fault type identification module and the fault position candidate area determined by the fault position prediction module are integrated through a feature cascade network, a fusion decision result is generated, and the fault type and the fault position are determined. According to the invention, the technical problem that the traditional single-domain information detection is limited in identification capability and unstable in positioning precision in a multi-type fault scene is solved, and accurate identification and high-precision positioning of fault types are realized through parallel processing and fusion decision making of electrical parameters and electromagnetic field information.

To provide an image monitoring system and an image monitoring method that, while sufficiently suppressing processing needed for determination, make it possible to recognize an interaction between objects with high accuracy.SOLUTION: An image monitoring system 1 for detecting a phenomenon in a monitored region by using an image in which the monitored region is imaged, comprises at least one arithmetic-logic device and at least one storage device for storing a preset threshold for determining whether to perform interaction recognition. The arithmetic-logic device includes a position detection unit 32 for detecting an object position from the image, a calculation unit 33 for calculating a feature amount pertaining to a distance and / or an angle between each object in an object group to be recognized, a determination unit 34 for determining whether the feature amount reaches the threshold, and an interaction recognition unit 35 for recognizing an interaction with regard to an object group having reached the threshold.SELECTED DRAWING: Figure 4

The invention discloses a learning behavior monitoring method, an intelligent table lamp and a storage medium, and relates to the technical field of intelligent equipment, the method is applied to the intelligent table lamp, and the intelligent table lamp comprises a camera module and a position detection module; the method comprises the following steps: acquiring a scene video through a camera module, and identifying at least one target object in the scene video; under the condition that the main guardian information corresponding to the target object is obtained, position information corresponding to the target object is obtained through a position detection module; identifying behavior information corresponding to the target object according to the position information and the scene video; and under the condition that the behavior information accords with the preset abnormal information, preset prompt information is output through a prompt module, and the prompt information is sent to the main guardian according to the main guardian information. According to the invention, bad learning habits or abnormal behaviors of students can be detected in real time and prompted, and one or more student objects can be identified and monitored.

A method comprises registering, by an application executing at a computer system in an inventory system, a tag identifier received from a tag in an inventory environment with location data indicating a location of the tag based on an audio attribute of an audio signal received from the tag, initiating, by the application, a scan of the tag to obtain tag data from the tag and to receive the audio signals from the tag by transmitting a signal to the tag after registering the tag identifier with the location data of the tag, and triggering, by the application, activation of an audio emitting device of the tag to emit an alert signal indicating whether a reader device is in a read range of the tag.

The invention belongs to the field of train structure health monitoring, and discloses a bogie tube plate structure welding seam detection method and device, and the method comprises the steps: obtaining a Lamb wave signal of a to-be-detected tube plate structure welding seam region, and carrying out the preprocessing, and obtaining a preprocessed Lamb wave signal; on the basis of the preprocessed Lamb wave signal, the position of the weld crack defect of the to-be-detected tube plate structure is predicted through the RAPID tomography technology, and a weld crack defect positioning detection result is obtained; inputting the preprocessed Lamb wave signal sequence into a bogie tube plate structure welding seam detection model to obtain a welding seam crack defect quantitative detection result; outputting a welding seam crack defect positioning detection result and a quantitative detection result as welding seam detection results; according to the invention, the positioning and quantitative detection result of the welding seam damage of the bogie tube plate structure can be quickly and accurately obtained, the high-precision detection requirement of the welding seam of the bogie tube plate structure is met, and the safe operation of a rail transit vehicle is ensured.