131results about How to "Avoid misidentification" patented technology

The invention relates to the technical field of security door locks, in particular to an intelligent door lock management system which comprises a data acquisition module, an extraction module, a first determination module, a second determination module, a judgment module, an identification module, an adjustment module, a correction module and an alarm module. Through multi-level identity verification and abnormal behavior detection, the safety of the door lock is improved, the key pressure, the sliding track and the face image are acquired in real time through the data acquisition module, the face features and the shielding rate are extracted in combination with the extraction module, preliminary recognition of the target identity is achieved, and the safety of the door lock is improved. The key pressure and track consistency degree is calculated through a second determination module, whether an abnormal door opening mode exists or not is judged, a judgment module integrates the abnormal mode and the shielding rate and confirms the target identity and permission, and a recognition module recognizes the permission value according to the permission library and conducts dynamic adjustment. The problem that the prevention effect on complex security threats is low due to the fact that recognition depends on single password input is effectively solved.

The invention provides a fatigue driving monitoring method and system and a storage medium, and the method comprises the steps: obtaining a DMS video stream, carrying out the feature extraction of the DMS video stream, and obtaining a face ROI region; inputting the face ROI region into a regression model to extract skin brightness change characteristics of the driver, and obtaining multiple vital signs of the driver based on the skin brightness change characteristics; the vital signs at least comprise heart rate, respiratory rate, oxyhemoglobin saturation, blood pressure and heart rate variability; the vital signs are judged according to a preset time period and multiple vital sign threshold ranges, and when at least two of the multiple vital signs exceed the corresponding vital sign threshold ranges, it is judged that the driver is in the fatigue driving state. According to the method provided by the invention, multiple vital signs are detected by depending on one independent regression model, and the accuracy and timeliness of fatigue driving detection are improved.

The invention provides a self-supervised mulberry disease and insect pest recognition method and system fused with a multi-mode YOLO algorithm, and the method comprises the steps: providing a Multi-Modan-YOLO algorithm fused with a multi-mode information processing technology, namely, the multi-mode YOLO algorithm, and carrying out the self-supervised mulberry disease and insect pest recognition method fused with the multi-mode YOLO algorithm; and audio information and thermal imaging information are combined to further improve the accuracy of the identification result of the pest and disease damage types. A self-supervised learning framework driven by a multi-modal large model is introduced, when the identification deviation risk exceeds a preset threshold value, the multi-modal large model is called to generate a category label, and the model is endowed with the ability of dynamically generating a new label for a new type of pest and disease damage. Therefore, misrecognition caused by non-uniform distribution of training data or missing of a certain category of data is effectively prevented; according to the method, targets such as disease spots and insect pests on mulberry leaves are accurately identified, so that the efficiency and accuracy of mulberry disease and insect pest prevention and control are improved, the influence on silkworm production is reduced, and yield increase is promoted.

The utility model provides track inspection equipment. The track inspection equipment comprises a vehicle body, and a steel rail detection device, a fastener detection device, an evacuation platform detection device, a ballast bed detection device, a drainage ditch detection device, a synchronous positioning system and a main control unit which are arranged on the vehicle body, wherein the steel rail detection device, the fastener detection device, the evacuation platform detection device, the ballast bed detection device and the drainage ditch detection device are all in communication connection with the main control unit, and the main control unit is in communication connection with the synchronous positioning system. According to the utility model, steel rails, fasteners, evacuation platforms, ballast beds and drainage ditches around the vehicle body are detected according to image information, the detection content is more, the accuracy is high, the daily public work detection content of urban rail transit is basically covered, the labor intensity is effectively reduced, and the detection efficiency is high.

The invention relates to a sill type obstacle recognition method, a sill type obstacle orientation recognition method and a robot control method. According to the robot control method, the recognition result of the sill type obstacle and the recognition result of the orientation of the sill type obstacle are utilized, and the corresponding passing mode of the sill type obstacle is matched according to the relative relation between the advancing direction of the robot and the orientation of the sill type obstacle; a matched sill type obstacle passing mode can be provided for the robot to pass through the sill type obstacle with the orientation of the sill type obstacle as guidance, and the success rate of the robot passing through the sill type obstacle is increased.

The invention relates to the technical field of image processing and intelligent reading, in particular to a logistic regression-based PDF (Portable Document Format) file cross-page table merging and extracting method and system. The method comprises the following steps: firstly, loading a PDF file, analyzing line information in each page one by one, and constructing a transverse line set and a vertical line set of each page; calculating coordinates of intersection points of all the intersected transverse lines and vertical lines in the same page, constructing a four-dimensional matrix of each intersection point, restoring a table structure, and marking a table region page number and a context book; the four-dimensional matrix comprises four elements 0 or 1 in one-to-one correspondence with the intersection points in the up-down and left-right directions; traversing all the table areas of the PDF file, searching the table areas needing to be merged, and merging the table areas; and updating the combined table areas to a large-size page, updating the page number, and deleting the two combined table areas. The method comprises the steps of firstly analyzing lines, then transversely and vertically grouping and adjusting the lines, then merging the lines, and finally extracting intersection points according to the intersection condition of the lines; extraction of the table intersection points is guaranteed, contradictory errors possibly caused by simultaneous extraction of the lines and the intersection points are avoided, and improvement of accuracy and efficiency of subsequent table structure analysis is facilitated.

The invention discloses a fingerprint identification method and system based on an optical identification induction technology, and relates to the technical field of fingerprint identification, and the method comprises the steps: collecting a fingerprint surface texture image through the total reflection principle of light; converting the collected fingerprint surface texture image into a fingerprint surface texture grayscale image; determining the main direction and frequency of the fingerprint streaklines, and separating the adhered fingerprint streaklines; smoothing stray point information in the fingerprint image by using an image filtering algorithm; the fluctuation characteristics of the fingerprints are further highlighted by using morphological expansion and corrosion operation; extracting morphological features of fingerprints and local features of streaklines from the preprocessed fingerprint image; and outputting the user information corresponding to the fingerprints in the database higher than the preset similarity value. By arranging the image acquisition module, the image processing module, the feature extraction module and the similarity comparison module, the interference of environmental factors is reduced, the fingerprint image quality is ensured, the fingerprint identification time is shortened, and the real-time performance of the system is improved.

The invention belongs to the technical field of power systems, and discloses a power equipment nameplate information extraction method and a related device, and the method comprises the steps: extracting nameplate text contents of a power equipment nameplate in rows; traversing a pre-established unconventional nameplate template library by utilizing the nameplate text content, wherein the unconventional nameplate template library comprises a plurality of unconventional nameplate templates marked with different supplier name-equipment name tags; when the nameplate text content contains content matched with the supplier name-equipment name tag, calling an unconventional nameplate template corresponding to the matched tag, and filling the called unconventional nameplate template with the nameplate text content to obtain power equipment nameplate information; when the nameplate text content does not contain the content matched with the supplier name-equipment name label, the nameplate text content is the power equipment nameplate information. The invention aims to effectively extract the structured information from various complex nameplates.

The invention relates to the technical field of electric power communication module meter reading test, and discloses an electric power communication module meter reading test method and system, and the method comprises the steps: sending a to-be-tested module into a conveyor belt, carrying out the light supplement after the to-be-tested module enters a detection region, collecting an image, and recognizing display data. If the data display is abnormal, further judging whether bright spots exist or not, and if not, removing abnormal modules; and if yes, adjusting the light supplementing strategy and re-collecting the image until the bright spots disappear. And comparing and synthesizing the newly collected image and the original image, and determining whether the ammeter is qualified after determining that the data is accurate. Light supplementing adjustment is based on analysis of the bright spot position, the light supplementing effect is optimized by controlling the position of a light supplementing lamp, and the accuracy of detection data is ensured. The method can effectively improve meter reading accuracy and reduce manual intervention, and is suitable for automatic production line detection of intelligent electric meters.

The invention relates to a driving environment safety assessment method, a vehicle lamp control method and a vehicle-mounted electronic device. The method comprises the following steps: acquiring a live image obtained by acquiring a road environment by a camera and an actual shooting distance of the camera; performing target identification on the live image, and extracting environment visibility information based on a target identification result and an actual shooting distance; wherein the environment visibility information comprises the definition of the first traffic facility and / or the visibility of the second traffic facility; wherein the first traffic facility is provided with characters; determining the safety level of the road environment according to the environment visibility information; and the accuracy of driving environment safety assessment is improved.

The invention discloses a word document-based knowledge graph generation method and apparatus, and an electronic device, and relates to the field of data processing. The method comprises the following steps of: analyzing a target document to obtain a corresponding xml (Extensible Markup Language) file; the xml file is analyzed to obtain a first data structure, and the first data structure comprises a plurality of elements; in the first data structure, sorting the plurality of elements according to a preset sorting rule to obtain a second data structure; segmenting the second data structure by adopting a preset recursive function to obtain a plurality of entities and a relationship among the plurality of entities; and taking the plurality of entities as nodes of a preset knowledge graph, and taking the relationship among the plurality of entities as edges of the preset knowledge graph to obtain a target knowledge graph. According to the technical scheme provided by the invention, the document content is converted into the XML format for recognition and extraction, so that the accuracy of converting the document into the knowledge graph is improved.

The invention discloses a backlight control circuit, a backlight control method and a display device, and relates to the technical field of display. In the application, the backlight control circuit comprises: a signal connector for outputting a first enable signal; the time schedule controller is used for outputting a second enable signal according to the first enable signal and the current state of the video transmission link; wherein the current state of the video transmission link is used for determining whether to adjust the first enable signal; and the backlight driving chip is used for controlling the backlight source to be turned on or turned off according to the second enable signal. According to the invention, the enable signal is introduced into the time schedule controller, and the time schedule controller adjusts the enable signal according to the current state of the video transmission link, so that the pulse width modulation signal is ensured to be normally output when the enable signal outputs a high level. The phenomenon that the peak voltage is mistakenly recognized as the high level when the backlight driving chip undetermines the level state of the pulse width modulation signal is avoided, and therefore the flicker phenomenon of the display device is avoided.

The invention relates to the technical field of AGV navigation, in particular to an AGV transverse movement deviation correction method and device.The method comprises the steps that in the transverse movement process, firstly, the travelled distance of a front differential module and the travelled distance of a rear differential module are calibrated through a polarity sensor, and the mileage difference value between the front differential module and the rear differential module is obtained; carrying out arcsine operation based on the mileage difference value and the distance between the driving wheels so as to obtain a real-time deflection angle of the AGV; then the real-time deflection angle serves as input of a PI controller, and the adjusting speed output by the PI controller is obtained; and finally, combining the adjusting speed with the reference speed of the AGV to obtain a target speed, and controlling the AGV to transversely move according to the target speed. According to the method, the mileage calibration is mainly adopted, so that the long-distance transverse moving precision of the AGV with the long vehicle body length is remarkably improved, transverse moving is not affected by the speed, the whole process from transverse moving starting to transverse moving ending is corrected in real time, and the transverse moving stability is improved.

The utility model provides an intelligent identification space occupying lock which comprises a space occupying lock body, the space occupying lock body comprises a short cover plate folding arm arranged close to the vehicle driving-in direction and a long cover plate folding arm arranged away from the vehicle driving-in direction, and the short cover plate folding arm and the long cover plate folding arm move mutually through a driving mechanism. The intelligent identification space occupying lock comprises a short cover plate folding arm and a driving mechanism, the short cover plate folding arm is fixedly connected with a camera and a radar in the vehicle driving-in direction, the camera and the radar are both electrically connected with the driving mechanism, the intelligent identification space occupying lock further comprises an ultrasonic wave, and the ultrasonic wave is electrically connected with an internet platform and the driving mechanism. The intelligent identification space occupying lock is high in identification precision, does not need to scan a code and is more convenient to use.

The present disclosure relates to an autonomous mobile device, a control method and apparatus thereof, and a storage medium, the method comprising: a shooting step of shooting an image of a working environment of the autonomous mobile device; a distance measurement step: obtaining point cloud data of a working environment of the autonomous mobile device; an identification step: inputting the image into an image object identification model for identification to obtain an object in the image and a space range of a detection frame where the object is located; an obtaining step: obtaining the number of the point cloud data in the space range of the detection frame; a judgment step: judging whether the quantity of the point cloud data exceeds a preset quantity threshold value or not; and an object positioning step of calculating the spatial position of the detection frame according to the point cloud data in the spatial range of the detection frame under the condition that the number of the point cloud data exceeds a preset number threshold. Therefore, wrong object recognition or wrong object position judgment can be avoided, the accuracy of obstacle recognition and obstacle avoidance of the autonomous mobile equipment is improved, and thus the intelligent degree of the autonomous mobile equipment is improved.

The invention provides a coal mine rock burst prevention method and device, electronic equipment and a storage medium. The method comprises the following steps: acquiring first monitoring data of a coal seam roof rock stratum, wherein the first monitoring data at least comprises a fracture event and micro-fracture distribution density of the coal seam roof rock stratum; determining that the rock burst risk exists in the coal seam roof rock stratum in response to the fracture event and the micro-fracture distribution density meeting the risk identification condition; at least one time of pressure relief treatment is conducted on the coal seam roof rock stratum, and different pressure relief agents are used in the at least one time of pressure relief treatment process; and second monitoring data of the coal seam roof rock stratum after pressure relief processing are obtained, and when the second monitoring data do not meet the risk identification condition, it is determined that rock burst risk prevention and control are completed. Therefore, according to the scheme, combined monitoring of various data can be achieved so that the rock burst risk can be accurately recognized, roof pressure relief is achieved through cooperative prevention and treatment of at least one time of pressure relief treatment, and therefore the pressure relief effect is improved.

The invention discloses an audio data processing method and device, a storage medium and electronic equipment. The method comprises the following steps: determining audio data required in a target model training process; determining a target spectrum based on the audio data; window division and splicing are carried out on the target spectrum to obtain a first feature sequence, the first feature sequence comprises a plurality of first features recorded according to a specified time sequence, and first overlapping data exist between two first features which are continuous in time; and determining audio features based on the first feature sequence. According to the method, window division and splicing are carried out on a target frequency spectrum to realize data enhancement of audio features, after data enhancement processing, long-sequence audio data are split into a plurality of data fragments with overlapped parts, multiple times of reasoning can be carried out, and the data fragments have relevance, so that the accuracy of reasoning is improved. Misrecognition caused by single reasoning of the target model can be effectively prevented, and the recognition accuracy of the target model is improved.

The invention relates to the technical field of energy storage power supply management, in particular to a control method, system and device for an energy storage power supply battery pack and a medium, and the control method for the energy storage power supply battery pack comprises the steps: obtaining a plurality of interrupt signals generated by insertion of each battery module in real time, and sorting the interrupt signals to obtain an interrupt signal sequence; closing a corresponding interrupt pin based on a signal sequence in the interrupt signal sequence, and reading a default ID of each battery module connected to the host; generating corresponding battery numbers according to the default IDs of the battery modules, integrating the battery numbers to form a battery number list, and storing the battery number list in a host; and obtaining each battery state based on the battery number, obtaining battery current data according to each battery state, and performing energy equalization processing on each battery pack based on the battery current data. The method has the effects of automatically identifying the battery packs and realizing energy balance among the battery packs.

The present invention relates to a Cas enzyme-based ECL nanoprobe using Pdots, a sensor, a detection method, and a detection kit. The preparation method of the ECL nano-probe comprises the following steps: a Pdots nano-particle synthesis step of polymerizing a conjugated polymer and a copolymer molecule to synthesize Pdots nano-particles, and a Pdots nano-particle modification step of modifying the obtained Pdots nano-particles by using an oligonucleotide chain modified by a quenching agent molecule. According to the ECL detection method disclosed by the invention, a double enzyme digestion system of Cas enzyme and excision enzyme can be used, and the ECL sensor disclosed by the invention can be a disposable detection chip. According to the present invention, the amplification-free, high-sensitivity, high-accuracy, high-specificity and high-flexibility ECL detection can be achieved.

The invention provides a watermark recognition method and device, electronic equipment and a readable storage medium. The method comprises the steps of obtaining a to-be-recognized image; and inputting the to-be-recognized image into a pre-trained watermark recognition model to enable the watermark recognition model to calculate the contribution probability of each image position in the to-be-recognized image to the watermark classification result, determining the output probability of each watermark type included in the to-be-recognized image, and outputting the watermark recognition result in the to-be-recognized image. Therefore, wrong recognition of the watermark in the complex to-be-recognized image can be avoided, and the watermark recognition accuracy of the watermark recognition model can be improved; meanwhile, a plurality of synthesized sample watermark images carrying automatically labeled watermark type labels and watermark mask labels are adopted to train the watermark classification model, so that the problems of training sample richness and few samples are solved, and the accuracy of the trained watermark recognition model on watermark recognition is further improved.

The invention provides a color cast-based identification method and device, equipment and a storage medium. The method comprises the steps of obtaining a to-be-identified certificate image and a portrait base map corresponding to the certificate image; processing the certificate image and the portrait base map through a trained feature extraction model to obtain a first image feature and a second image feature; and determining a color cast identification result of the certificate image according to the feature similarity between the first image feature and the second image feature. According to the method, the feature information related to the color in the certificate image and the portrait base map is extracted, so that the color cast identification result of the certificate image can be determined subsequently through the similarity between the feature information, and the method can be effectively used for identifying the color cast of the certificate portrait; and the problem of recognition error of the automatic identity recognition system caused by color cast of the certificate portrait is avoided.

The invention relates to the technical field of access control management, in particular to an access control system and method based on a face recognition technology, and the system comprises an access control linkage unit, and also comprises an image acquisition unit which is used for carrying out face image acquisition on a to-be-recognized user based on a camera according to a preset sampling period, and the face recognition unit is used for receiving the to-be-recognized user to obtain a face image sequence of the to-be-recognized user, and transmitting the face image sequence of the to-be-recognized user to the image preprocessing unit. Through the linkage of the face image acquisition unit, the image preprocessing unit and the face recognition unit, the safety and convenience of the access control system are effectively improved, the image acquisition unit automatically acquires the face image of the user to be recognized based on the preset period, and the face recognition unit quickly recognizes the image, so that the user experience is improved. The process not only improves the recognition speed, but also avoids the manual operation of traditional card swiping, password input and other modes, and simplifies the process of user access.

The present application provides a remote control method and remote control based on gesture recognition, which relate to the field of remote control control. In the method, when the remote control performs gesture recognition for the first time, it directly uses a standard template library to match the instructions of gesture actions, and in subsequent gesture recognition, it preferentially uses a personalized template library to match the instructions of detected gesture actions. When the corresponding gesture instructions cannot be determined based on the personalized template library, the standard template library is used to match the instructions of the gesture actions, and the personalized template is updated based on the matching results, so that the instruction matching rules of the personalized template library are continuously updated and more suitable for the user's usage habits, thereby improving the accuracy and response speed of gesture recognition without affecting the versatility, and can quickly and accurately respond to the user's gesture instructions when multiple people use the same remote control.

A smart community resource sharing management system and method thereof include a shared database, a data processing module, a mobile terminal, a shared container, a management client, and an archive database; an image acquisition module is provided in the shared container, and the image acquisition module transmits the image data to the data processing module through a communication module; the data processing module calls the image processing module for image comparison; the mobile terminal is connected to the data processing module through a communication module; the data port of the data processing module is respectively connected to the shared database and the archive database; the data processing module is also connected to the management client through a communication module. A shared database is provided to centrally store all shared items, and the image recognition module and image acquisition module provided can identify the shared items to avoid misidentification. The data processing module can periodically loop through the data in the reservation database so that there will be no idle period for the shared items.

The utility model provides an adjustable license plate recognition device. The adjustable license plate recognition device comprises a base; the hydraulic cylinder is fixedly mounted at the top of the base; the supporting plate is arranged above the hydraulic cylinder; the license plate recognition assembly is assembled at the top of the supporting plate; the arc-shaped telescopic plate is arranged on one side of the hydraulic cylinder, and a protective pad is assembled on the arc-shaped telescopic plate; the adjusting mechanism is arranged on the hydraulic cylinder and the supporting plate and used for adjusting the angle of the license plate recognition assembly. The adjustable license plate recognition device provided by the utility model has the advantages that the height of the license plate recognition assembly can be conveniently adjusted, so that the license plate can be accurately recognized, the device is suitable for different vehicle types, misrecognition is avoided, the shooting angle is optimized, and the overall performance and the use effect of a license plate recognition system can be improved.

The invention discloses an unmanned aerial vehicle water-air dual-medium adaptive communication optimization method and related equipment. The method comprises the following steps: acquiring unmanned aerial vehicle environment sensing information; determining the current communication medium state of the unmanned aerial vehicle according to the unmanned aerial vehicle environment sensing information; the communication medium state comprises an air state, an underwater state and a water-air interface crossing state; generating a target communication strategy according to the current communication medium state of the unmanned aerial vehicle, and controlling the unmanned aerial vehicle to execute the target communication strategy; the communication strategies comprise an air communication strategy, an underwater communication strategy and a water-air dual-medium communication strategy; and dynamically monitoring the communication link performance index of the unmanned aerial vehicle, and dynamically optimizing the target communication strategy in combination with the environment change information and the communication link performance index. The technical problem that the communication performance of the unmanned aerial vehicle on the water-air interface is sharply reduced can be effectively solved, smooth transition and high-reliability maintenance of the communication link in the double-medium environment are achieved, and the method can be widely applied to the technical field of unmanned aerial vehicle communication.

The present application provides an instruction processing method, a controller, a backlight driver and a display device, wherein the controller generates a driving instruction, the driving instruction includes a reset instruction, a setting instruction, an address instruction and backlight brightness data arranged in sequence, and then a preset mark is added to the driving instruction, and the preset mark indicates that the backlight brightness data is written into a data register. Subsequently, the driving instruction is sent to the backlight driver, so that after the backlight driver recognizes the preset mark, it can only perform a write operation on the data register in the backlight driver to write the backlight brightness data into the data register, thereby preventing the backlight brightness data from being mistakenly recognized as a setting instruction or an address instruction, and reducing the occurrence of display abnormalities.

The present invention discloses a playing method and system of a smart speaker, and the playing method includes: S1: receiving a voice command obtained by a Bluetooth headset through the voice recognition function of the Bluetooth headset itself; S2: based on the voice command, sending a sound content acquisition request to a background server to obtain the sound content; S3: judging whether the sound content can be publicly played; if so, executing step S4; if not, executing step S5; S4: publicly playing the sound content, and synchronizing the sound content to the Bluetooth headset for playing; S5: sending the sound content to the Bluetooth headset for playing. The technical solution of the present invention can synchronize the sound content of the smart speaker to the Bluetooth headset for playing to meet the different needs of users; it can also recognize the user's voice command through the Bluetooth headset voice to solve the problems of limited voice recognition distance and low voice recognition accuracy when using smart speakers for voice recognition.

The present invention provides a sequential AI diagnostic model for a chest X-ray intelligent diagnosis system, including an image classification module that identifies an orthotopic chest X-ray image in a DICOM image; an image quality judgment module that extracts orthotopic chest X-ray images that meet preset conditions and defines them as qualified images; a postoperative and implant diagnosis module that detects whether there is a postoperative or implanted object in a qualified image; a lung field segmentation diagnosis module that segments the lung field on a qualified image without a postoperative or implanted object; a binary classification diagnosis module that performs a positive and abnormal diagnosis on the lung field; an AI solution management module that determines the running order of each module, and sends the qualified image and the diagnostic data output by the previously running module to the later running module according to a preset configuration; and a structured report module that automatically generates a diagnostic impression based on the diagnostic data of each module. The present invention also discloses a sequential AI diagnostic model for a chest X-ray intelligent diagnosis method. The present invention improves the accuracy of diagnosis and reduces the cost of inspection.

The invention belongs to the field of artificial intelligence, and relates to an automobile part identification method, which comprises the following steps: acquiring image data acquired by a mobile terminal camera, and acquiring multiple frames of to-be-identified images from the image data according to a preset time interval; performing component detection on each frame of the to-be-recognized image by adopting a pre-trained automobile component recognition model to obtain a component detection result corresponding to each frame of the to-be-recognized image; the component detection result corresponding to each frame of the to-be-recognized image is sequentially stored in a cache queue according to the timestamp of the to-be-recognized image, and the cache queue only reserves the component detection result of a preset duration; and outputting a component identification result of the image data according to the component detection result in the cache queue and a judgment result of a preset rule. In addition, the invention also relates to a block chain technology, and the recognition result of the automobile part and the like can be stored in a block chain. According to the invention, the accuracy of automobile part identification can be improved.