49results about How to "Improve recognition stability" patented technology

The invention provides an automated guided vehicle navigation method based on two-dimension code positioning and relates to the technical field of navigation of automated vehicles. The automated guided vehicle navigation method based on two-dimension code positioning solves the technical problems that according to an existing method, deployment is not convenient, investment cost is high, and paths are not flexible. According to the automated guided vehicle navigation method based on two-dimension code positioning, a two-dimension code label array which is arranged in a mesh mode is attached to the ground of the site where an automated guided vehicle is applied, two-dimension code labels on the ground are obtained through a camera and are recognized when the automated guided vehicle advances, the automated guided vehicle is controlled to advance according to the position information contained in the two-dimension code labels, and thus navigation of the automated guided vehicle is achieved. The automated guided vehicle navigation method based on two-dimension code positioning has the advantages that deployment is convenient, investment cost is low, and the paths are flexible.

The invention discloses an intelligent wind turbine generator working condition identification method which is used for identifying working conditions of a wind turbine generator comprising a plurality of subsystems. The method includes the steps of obtaining a plurality of parameters of the wind turbine generator; dividing the parameters into global parameters and local parameters; extracting eigen values of the plurality of parameters; and obtaining an eigen value vector of each parameter according to the eigen value of each parameter; and classifying the eigen value vectors of the plurality of parameters into global working conditions and subsystem working conditions through a first layer self-organizing map neural network and a second layer self-organizing map neural network to obtain a working condition identification result of the wind turbine generator. The plurality of parameters of the wind turbine generator are adopted to analyze the wind turbine generator working conditions, the wind turbine generator working conditions are divided into the plurality of global working conditions and subsystem working conditions, wind turbine generator working condition identification stability can be improved, and monitoring precision for wind turbine generator running is improved.

The invention relates to an information technology automatic control field, the method is made up of road sign designing method, road sign position, road sign incriminating and navigating device, and road sign incriminating and control flow. The road sign designing method is a gray mode road sign, which is made up of two long black bar with the same width, four transverse long black bar with the same width and the middle numbers, the printed road sign is pasted on the plane vertically to the ground, such as the wall or side surface of computer desk, the height is similar to the camera height of robot, the incriminating and navigating device is only robot with a single camera, finally, it is accomplished road sign incrimination and control flow. The flow carries on binarization to the 256 gray images, then it is scanned and detected, finally the road sign number can be incriminated; the mode is simple, and the cost is low.

The invention discloses a positioning and tracking system of an underground/roadway moving object, comprising underground positioning and tracking systems distributed under a detected mine and ground monitoring systems distributed on the ground; two-way communication is conducted between the underground positioning and tracking system and the ground monitoring system; the underground positioning and tracking system comprises a plurality of wireless radio-frequency labels, a plurality of wireless signal receiving and transmitting devices and a plurality of card readers which are respectively carried by underground workers, are internally stored with the information of the identity and engaged job category information of a cardholder, can read the stored information in the wireless radio-frequency labels within respective signal coverage area in real time, and synchronously upload the read information and the internally-stored information to the card reader of the receiving and transmitting device; and the wireless radio-frequency labels are distributed on a coal mining work surface or a coal mining roadway. The positioning and tracking system has reasonable design, convenient installation and distribution, low cost, complete function and good use effect, and also improves the coverage area correspondingly while saving the cost.

The invention belongs to the field of image target recognition and provides a remote sensing ship identification method based on dense feature fusion and pixel-level attention, and aims to solve the problems that a classical neural network easily identifies a plurality of dense targets as one target under a remote sensing image ship target identification task, a large number of small targets are missed, boundary frames are easy to overlap and the like. According to the main scheme, data set division is carried out on a remote sensing image data set to obtain a training set and a test set, anddata enhancement of the training set is carried out. RGB three-channel average values r < mean >, g < mean > and b < mean > of the original remote sensing image data set are calculated and the RGB three-channel values of the images are correspondingly subtracted in the expanded data set from the r < mean >, g < mean > and b < mean >; the obtained data set is input into an improved Faster RCNN network to be trained, core modules of the network are a dense feature fusion network and a pixel-level attention network, and the network outputs candidate rotation boxes and category scores of the candidate rotation boxes; and skew IOU-based rotating frame non-maximum suppression is carried out on the obtained result to obtain an identification result of the ship target in the remote sensing image.

According to an EOF-based unmanned aerial vehicle signal identification system and method provided by the invention, the problem that similar unmanned aerial vehicle signals are difficult to identifyis solved, the identification effect of unmanned aerial vehicles with similar signals can be effectively improved, and better support is provided for unmanned aerial vehicle identification managementand control. The method provided by the invention comprises the following steps: 1) firstly, carrying out preliminary identification on a received unmanned aerial vehicle signal through a characteristic parameter matching method; 2) carrying out FFT (Fast Fourier Transform) processing on the unmanned aerial vehicle signal which cannot be recognized through characteristic parameter matching, and then generating a corresponding time-frequency analysis graph; 3) adopting an empirical orthogonal function analysis method to decompose a video analysis matrix corresponding to the video analysis graphinto an EOF matrix reflecting signal common characteristics and a characteristic coefficient matrix reflecting signal difference characteristics; and 4) performing feature data extraction and BP neural network training on the feature coefficient matrix, constructing a corresponding unmanned aerial vehicle type classifier, and outputting an identification result.

The invention relates to the technical field of freight train detection, in particular to a railway wagon lower pull rod falling fault image recognition method, and aims to solve the problem of low detection accuracy in a manual-based detection mode in the prior art, and the method comprises the steps of 1, obtaining a to-be-recognized wagon image, and constructing a sample data set; step 2, carrying out data amplification processing on the sample data and marking a sample data set; 3, constructing a training data set according to the data obtained in the step 2; 4, constructing a MultiResUNetmodel, and training the MultiResUNet model to obtain a trained deep learning model; 5, inputting a to-be-recognized image into the trained deep learning model to obtain a segmented image of the pull-down rod; and 6, judging whether the pull-down rod is in a falling state or not by utilizing the segmented image of the pull-down rod. Manual labor is replaced by artificial intelligence, and the accuracy and efficiency of a detection result are improved while manpower is saved.

The invention discloses a visual identification method and device for single-category unstacking, equipment and a medium, and belongs to the field of machine vision, and the visual identification method comprises the steps: carrying out the filtering and down-sampling of an original 3D point cloud of a to-be-unstacked object, and obtaining a target point cloud; performing boundary extraction on the target point cloud to obtain boundary point cloud, wherein the boundary point cloud only comprises contour points; performing 3D matching on a preset template point cloud and the boundary point cloud, and segmenting out each workpiece contour point cloud matched with the preset template point cloud from the boundary point cloud, the preset template point cloud being a contour point cloud consistent with each workpiece type in the to-be-unstacked object; and obtaining workpiece poses corresponding to the workpiece contour point clouds obtained through matching, and performing unstacking according to height information in the workpiece poses. According to the visual identification method, 3D contour matching is carried out on the filtered workpiece point cloud and template point cloud of which the boundaries are extracted, so that the interference of a large amount of plane point clouds is reduced, and the matching precision is improved, and the calculation speed is increased.

The invention provides an identity card element extraction method and device, and the method comprises the steps of correcting an obtained identity card image, and obtaining a target image matched with a pre-stored standard identity card template; determining a character block detection box of the target image by performing character block detection on the target image; extracting identity card elements based on the character block detection box. The invention can solve a problem that a mode of character line segmentation based on binary image projection is greatly affected by background interference in the prior art. Through correction, the identity card image with rotation and perspective can also have a good recognition effect, identity card elements are extracted based on the characterblock detection box, high-quality text line positioning information is provided for text recognition, and the recognition stability is improved.

The invention discloses a polarized light time domain reflectometer based on three-polarization-state time division multiplexing. The polarized light time domain reflectometer comprises a light source, a polarization state generator, a pulse modulator, a circulator, a sensing optical fiber, a dual-polarization state detection device, a photoelectric detector, a signal acquisition card and a processor, wherein the processor is connected with the polarization state generator; the polarization state output by the polarization state generator is controlled to be switched among the three polarization states perpendicular to one another; and polarization detection is achieved through the double-polarization-state detection device, so that under the condition that depolarization is not considered, the phenomenon of traditional POTDR signal fading is completely eliminated, and the effect of improving system positioning and event recognition stability is achieved.

The embodiment of the invention discloses an image processing method, device and terminal and a computer readable storage medium. The method comprises the steps: obtaining a processing region, comprising a specific character string, in a to-be-processed image, and performing the contrast enhancement processing of the processing region to obtain a first processing image; obtaining the colors of pixels in the first processing image, and judging whether there is a damage in a first processing image or not according to the colors of the pixels; removing the damage in the first processing image according to a preset processing model when there is the damage in the first processing image, and performing the character recognition according to the image after the damage is removed. The method canremove the interference caused by the damage in a character recognition process, improves the character recognition accuracy, can resist various types of damages in the actual samples, and is high inrecognition stability.

The invention provides a serial number switching control circuit, a working method of the serial number switching control circuit, a consumable chip, a working method of the consumable chip, a consumable container and printing equipment. The serial number switching control circuit comprises a main control circuit, a diode circuit group, a power supply end, a detection resistor and a voltage detection circuit; the diode circuit group is electrically connected with the power supply end through the detection resistor, and the voltage detection circuit obtains the detection voltage of the detection resistor and sends a voltage feedback signal to the main control circuit; the diode circuit group comprises multiple paths of diode circuits which are connected in parallel; a plurality of serial numbers are stored in the main control circuit, and one serial number corresponds to one diode circuit. According to the serial number switching control circuit, the occupied storage space can be reduced, and the serial number identification stability is improved.

The invention provides an electronic tag. The electronic tag includes: an antenna, wherein the antenna comprises a feeder line and a load, the feeder line comprises a feeder line core with a feeder line core pin and a shielding layer arranged on the feeder line core, the load comprises a load core with a load core pin and a load ground, the load ground is arranged on the periphery of the load coreto insulate the feeder line core from the load core, and the load ground is connected with the shielding layer on the feeder line core through a conducting strip; And a label, wherein the label comprises a label body, the label body is provided with a first pin and a second pin, and the center of the label body is provided with an RFID chip. When the feed line core pin is in contact with the first pin and the load core pin is in contact with the second pin, the feed line and the load form a closed loop through the label. The electronic tag does not relate to electromagnetic wave conversion, the peripheral electronic tag cannot be identified under the condition that the antenna is not in contact with the tag, the identification precision is high, and the identification stability is high.