4842 results about "Identification device" patented technology

The invention relates to the technical field of digital marketing, and discloses an omni-channel marketing funnel intelligent attribution model and an automatic budget distribution system, and the model comprises a data collection module which is used for collecting data through a contact recording device and a user identification device which are disposed at a marketing terminal, and a behavior tracking device and a channel classification device which are disposed at a user side. Acquiring information such as multi-channel marketing contact interaction data, user behavior data and channel types; the path analysis module realizes data path analysis through time sequence synchronization of a time alignment unit, feature matching of a path association unit and dynamic adjustment of a computing power scheduling unit; the attribution calculation module generates the conversion attribution weight of each channel based on the matching data; and the budget mapping module establishes a dynamic mapping relationship between the weight and the budget and updates the dynamic mapping relationship. The system outputs the attribution result through the model application module, and the budget execution module distributes the budget according to the dynamic mapping, so that the channel contribution can be accurately evaluated, the scientific distribution of the marketing budget is realized, and the marketing efficiency and the rate of return on investment are improved.

The invention discloses an extreme sea condition parameter identification system based on deep learning, and relates to the technical field of ship navigation auxiliary equipment, in particular to a self-adaptive sea condition identification device which is used for acquiring image data and inertial measurement data of a current sea condition; the wave field visual depth estimation module is used for extracting visible light image features and infrared image features of a wave area from image data of the current sea condition, fusing the extracted visible light image features and infrared image features, using an encoder-decoder architecture and fusing an energy function to obtain a pixel-level wave height field, and outputting the pixel-level wave height field. The three-dimensional reconstruction of the wave surface is realized; the multi-modal data fusion module uses a filter dynamic model and a cost function to eliminate space-time asynchronous errors between inertial measurement data and visual perception data, performs multi-modal data fusion, and outputs wave field real-time parameterization information. According to the invention, the sea condition parameter real-time high-precision identification capability of the autonomous unmanned ship or the offshore carrying platform can be improved.

The invention relates to the technical field of artificial intelligence and biomedical sensing, and discloses a cognitive disorder risk identification device and method integrating multi-modal physiological data, and the device comprises an EEG module, an eye movement module, an fNIRS module, an edge calculation module and an acceleration sensor; the EEG module collects EEG data, the eye movement module collects eye movement eye-tracing data, and the fNIRS module collects near infrared spectrum fNIRS data and inputs the data to the edge calculation module; the edge calculation module runs the multi-modal space-time attention fusion model to output a cognitive impairment risk assessment result by using the multi-modal space-time attention fusion model; the acceleration sensor operates based on an operation dynamic filtering algorithm of a motion accelerometer to inhibit signal drift caused by head motion. According to the invention, through the modularized head-mounted multi-mode edge device, the physiological data is collected and edge end processing and cognitive disorder recognition and screening are carried out in combination with the edge calculation module, so that early recognition and screening of neurodegenerative diseases can be conveniently and effectively carried out at low cost.

The invention relates to the technical field of metal wire machining, in particular to a metal wire drawing production system which is characterized in that after production order information is uploaded to a central control unit through a man-machine interaction APP, the central control unit commands an intelligent pay-off module to complete wire coil placement, and the APP can be used for personnel to check the system state and remotely access; the intelligent pay-off module ensures that the pay-off tension is stable by means of a tension sensor and a PID algorithm; the wire rod preprocessing module collects images by using a high-definition camera, and defect conditions are determined through preprocessing of the central control unit and analysis of a convolutional neural network; and the intelligent control module dynamically adjusts the rotating speed of the motor by adopting a variable-frequency speed regulation technology and combining various data according to the requirements of a wire drawing process, so that the whole production process is efficient, accurate and stable. Precise placement of the wire coil is achieved through the automatic recognition device and the automatic transmission equipment, the time needed by manual operation is greatly shortened, and the working efficiency of the whole pay-off link is improved.

The invention discloses an ultrasonic detection device, a matching layer in the ultrasonic detection device comprises at least two acoustic impedance groups for realizing at least two acoustic impedance gradients, and the thickness of each acoustic impedance group is smaller than or equal to a first threshold value. The first threshold value is the thickness of the acoustic impedance group when the acoustic transmission coefficient of the acoustic impedance group is greater than or equal to a preset acoustic transmission coefficient, and the first threshold value is smaller than 1 / 4 of the wavelength corresponding to the acoustic impedance group. The matching layer is configured to be at least two acoustic impedance groups with at least two acoustic impedance gradients, and the thickness of each acoustic impedance group is set to be far less than 1 / 4 of the thickness of the wavelength corresponding to the acoustic impedance group under the condition of ensuring that the matching layer has enough acoustic impedance coefficient, so that the thickness of the acoustic impedance group is less than 1 / 4 of the thickness of the wavelength corresponding to the acoustic impedance group. On the basis of the matching layer formed by the at least two acoustic impedance groups, acoustic impedance gradient matching can be achieved, and the thickness can be small under the condition that the transmissivity is guaranteed. Therefore, the thickness of the ultrasonic detection device is reduced, attenuation of transmitted sound waves is reduced, and the sensitivity of ultrasonic detection is improved.

Disclosed are a device and method for detecting and identifying shallow-stratum foreign objects based on distributed acoustic sensing. The device includes a vibrating sensitivity-enhanced fiber optic cable, a distributed acoustic sensing demodulator, a vibrator system, a vibration data processing unit, a velocity structure inversion unit and an AI-aided locating and identification unit. The distributed acoustic sensing demodulator transmits vibration signals to the vibration data processing unit for preprocessing to obtain waveform signals; the velocity structure inversion unit performs inversion to obtain the shallow-stratum underground velocity structure; positions of shallow-stratum foreign objects are identified through the underground velocity structure and abnormal waveforms; and the types of shallow-stratum foreign objects are identified. A distributed acoustic sensing method for fiber optic cables is used to obtain vibration signals, velocity imaging is performed on a shallow-stratum velocity structure, and AI is utilized to achieve locating and type identification of shallow-stratum underground foreign objects.

The invention discloses a train positioning method and system. The method comprises the steps that when a train drives into an inactive area, first positioning information of the train is determined according to an ultra-wideband signal of the train; mapping the first positioning information of the train to a station map, and determining track section occupation information of the train; when the train drives into an activation area, acquiring point cloud data detected by the train in real time; according to the point cloud data and the station yard map, determining second positioning information of identification equipment of the activation area; and according to the second positioning information, carrying out intrusion detection on the train to obtain a train intrusion result. According to the embodiment of the invention, the accuracy of train positioning can be improved.

The invention relates to a subway station pedestrian emergency evacuation system and method based on identification guidance, in particular to a dynamic identification guidance system optimized in combination with Legon simulation software. According to the system, a dynamic identification device is deployed in a subway station, Legon simulation software is combined to simulate and analyze people flow in the station in real time, and an optimal evacuation path is provided. In an emergency, the system dynamically adjusts the guiding direction of the evacuation identification by using simulation data and environment monitoring information. Legion simulation software can accurately simulate driving behaviors of passengers in different environments and under different congestion conditions, so that the accuracy of an evacuation scheme is improved. Through a simulation test, the system can significantly reduce the evacuation time, improve the evacuation speed, optimize the distribution of personnel in the station, reduce the residence time in a high-density area, and ensure the safe evacuation of passengers in an emergency.

The invention belongs to the technical field of radar human body tracking and recognition, and particularly relates to a rotary millimeter wave radar human body tracking and recognition device and method. The millimeter-wave radar module is mounted on the rotating holder module, and the main beam direction of an antenna in the millimeter-wave radar module is perpendicular to the rotating shaft; the millimeter wave radar module is connected with the control module, and the embedded processor is internally provided with a point cloud data processing algorithm and an identity recognition neural network which are used for overcoming the influence of environmental noise and multipath effect on data quality. The problems of fixed field angle and limited monitoring range of the traditional millimeter wave radar are effectively solved; and through an improved data processing algorithm and an identity recognition neural network, the influence of environmental noise and a multipath effect on data quality is overcome, and the reliability and adaptability of the system in a complex scene are remarkably improved.

The invention discloses a water supply pipeline leakage identification method based on active low-frequency sound wave excitation, and the method comprises the steps: obtaining a sound signal in a pipeline through a low-frequency sound emission transducer and a hydrophone which are disposed at two ends of the pipeline, and generating a corresponding leakage point position based on a pre-constructed sound wave equation; processing the sound signal to obtain a corresponding time-frequency image, labeling the time-frequency image by judging whether the sound signal is a leakage signal or not, and forming a data set by a signal frequency spectrum, a leakage point position and a label; constructing an identification network; training an identification network by using the data set to obtain a water supply pipeline leakage identification model for identifying whether the pipeline is leaked or not; and inputting the sound signal in the to-be-identified pipeline into the water supply pipeline leakage identification model so as to output an identification result about whether the pipeline is leaked or not and an identification result about the position of a leakage point. The invention further provides a water supply pipeline leakage identification device. The method provided by the invention can effectively improve the accuracy of leakage identification.

A system is provided for implementing trajectory analysis entry controls. A trajectory analysis entry control system is implemented in a vehicle, and supports remote and automatic entry control functions for the vehicle. For example the system triggers various automatic entry controls functions, such as remotely unlocking doors and / or a trunk of a vehicle, by tracking and analyzing a user's trajectory of movement while they are approaching the vehicle. A system includes a user identification device to identify whether a user is authorized to access the vehicle, such as a driver. The system also includes a trajectory tracking device that determines a trajectory of the user with respect to the vehicle. As the user's trajectory is determined to be approaching the vehicle, the trajectory tracking device further determines which entry point of the vehicle the user is approaching and automatically engages an automatic unlocking of that access point of the vehicle.

The invention relates to an ablation monitoring system based on real-time temperature and image feedback data, and the system comprises a temperature collection device which collects first temperature change information in a tumor internal ablation process in real time; the ablation device is configured to provide energy required by tumor ablation and is provided with a model of a color and temperature corresponding relation of a tumor surface image, and the model is called a first relation model for short; the image acquisition device acquires tumor surface ablation process image information in real time, which is called a first image for short; the temperature identification device is used for matching the color of each pixel of the first image with the first relation model to obtain the second temperature change information; the three-dimensional model simulation device is used for establishing a tumor three-dimensional model; and displaying the first temperature change information and the second temperature change information on the three-dimensional model in real time. By monitoring the temperature change in the tumor and the temperature change of the surface in the ablation process, the tumor ablation boundary is accurately controlled, and transition ablation is prevented.

The invention provides a high-precision stainless steel weld defect recognition device based on a multi-round cross-modal attention mechanism. The high-precision stainless steel weld defect recognition device comprises an ultrasonic signal acquisition module, a data preprocessing module, a cross-modal defect recognition module and an online result display module, the ultrasonic signal acquisition module is used for synchronously acquiring an A scanning original waveform and workpiece position information corresponding to the A scanning original waveform; the data preprocessing module is used for preprocessing the A scanning original waveform, mapping a time sequence signal into a Gramb angle field two-dimensional image, and generating complementary time sequence image bimodal data; the cross-modal defect identification module sends the bimodal data into a deep learning network, extracts time sequence and spatial frequency features through a feature extraction neural network, reinforces correlation between the time sequence and spatial frequency features by means of multi-round cross-modal multi-head attention iteration interaction, and combines channel attention and focus loss strategies at the same time; and outputting a stable defect classification result under the condition that the sample categories are unbalanced.

The invention relates to a cross-image associated information enhanced visual location identification method, a cross-image associated information enhanced visual location identification device and cross-image associated information enhanced visual location identification equipment. The method comprises the following steps: respectively extracting a database global descriptor of position image data in a map database and a query global descriptor of visual image data to be subjected to site identification, the multi-level feature mixing unit is used for carrying out multi-level feature fusion on the multi-level features in channel and space dimensions to obtain multi-level mixed features, and the multi-level region feature aggregation unit is used for carrying out multi-level region feature aggregation to obtain a region feature set; and carrying out self-enhancement on the regional feature set to obtain an image feature self-enhancement coding unit of a global descriptor, and identifying a site position in the visual image data according to the similarity between the query global descriptor and the database global descriptor so as to realize stable and high-accuracy positioning of a visual site identification task.

The invention discloses a tool discrimination method and discrimination device. The method comprises the following steps: acquiring a digital twin model of a tool in a tool magazine; based on the digital twin model, calculating an inter-cutter similarity matrix, and generating a cutter association network topology structure according to a preset similarity threshold; in the process that the tool enters and exits the tool magazine, tool state data are collected and fused with tool historical use data, and a tool comprehensive evaluation data set is formed; based on the tool comprehensive evaluation data set and the tool association network topology structure, calculating a tool health index through a preset performance evaluation algorithm; and according to the cutter health index and the current processing task demand, a cutter use scheme and a preventive maintenance plan are generated through an intelligent scheduling algorithm. According to the technical scheme, the tool performance can be accurately evaluated, the health state of the tool is dynamically monitored, and tool use and maintenance are optimized.

The invention provides a boiler welding seam full-automatic detection system and method based on machine vision and an ultrasonic phased array, and relates to the technical field of boiler detection.The system comprises a six-axis mechanical arm unit, a multi-degree-of-freedom boiler fixing platform unit and a welding seam type recognition device; the boiler is arranged on the multi-degree-of-freedom boiler fixing platform unit and used for driving the boiler to do vertical motion, inclined motion and rotary motion, the six-axis mechanical arm unit is arranged on one side of the multi-degree-of-freedom boiler fixing platform unit, the welding seam type recognition device is arranged at the tail end of the six-axis mechanical arm unit, and the welding seam type recognition device is arranged on the other side of the multi-degree-of-freedom boiler fixing platform unit. And the six-axis mechanical arm unit is used for driving the welding seam type identification device to move and identifying a circular seam and a longitudinal seam of the boiler. According to the invention, full-process automation of boiler welding seam detection is realized, the detection efficiency and the defect detection rate are improved, the safety risk of manual detection is eliminated, and the detection quality consistency and the industry standardization level are remarkably improved.

The invention discloses a clothing material identification system and a clothing material identification method, the clothing material identification system comprises an application layer, the application layer comprises a reflective placement part, a light emitting part, an identification device and ironing equipment, the reflective placement part is used for placing clothing, the light emitting part projects light to the clothing arranged on a reflective part, and the identification device is used for identifying the clothing on the reflective part; the recognition device is configured to collect spectral information of reflected light from the clothes and / or the reflective placement piece and recognize the material of the clothes, and the ironing equipment is used for adjusting the working mode according to the recognition result of the recognition device; and the edge computing layer comprises an equipment management module, a data preprocessing module, a model development module and a data storage module. According to the clothing material identification system, the clothing material can be accurately identified, and then the ironing equipment is adjusted to the working mode corresponding to the material to work, so that the ironing efficiency and quality are improved, and the clothing can be protected during ironing.

The utility model discloses an impurity identification device and husked rice separator relates to grain processing technical field, wherein the impurity identification device includes frame, visual inspection subassembly and cleaning subassembly, the frame is used for being arranged in the discharge port of husked rice separator, visual inspection subassembly includes the casing, be equipped with the color camera in the casing, the cleaning subassembly is equipped with the cleaning subassembly. A detection opening is formed in one side of the shell, the detection opening is covered with a transparent cover plate, the cleaning assembly comprises a driving mechanism and a sweeping part arranged at the driving end of the driving mechanism, and the sweeping part can make reciprocating contact with the transparent cover plate to achieve cleaning; according to the technical scheme provided by the utility model, when husked rice analysis is carried out, the driving mechanism can regularly drive the sweeping piece to sweep the transparent cover plate of the shell so as to remove particulate matters, dust and the like attached to the surface of the transparent cover plate, so that the interference of dust and the like in the environment on camera detection is reduced, and the detection accuracy is improved. Therefore, the recognition accuracy of the visual camera in the impurity recognition process is improved.

Provided are a lithology identification method, a lithology identification device, an electronic apparatus and a non-transitory storage medium. The lithology identification method includes: obtaining a dataset, where the dataset includes feature sets and lithology labels, and each feature of the feature sets corresponds spatially one-to-one with a corresponding one of the lithology labels; performing locality preserving projections (LPP) on the dataset, to thereby obtain a preprocessed dataset; and constructing a machine learning model, and training the machine learning model by using the preprocessed dataset to obtain a recognition model for lithology identification, during a process for training the machine learning model, a distance constraint and a geological constraint are introduced sequentially.

A quadruped robot with multimodal capabilities and embodied large-scale models for use in a 5G nuclear power plant, characterized in that it comprises: a control module, a power module, a robot arm module, a power supply module, a sensor module, a heat sink, an audio module and a housing structure, wherein the control module, the power module, the robot arm module, the power supply module, the sensor module, the heat sink and the audio module are mounted on the housing structure, wherein the control module is respectively connected to the individual modules, iethe power module, the robot arm module, the power supply module, the sensor module, the heat sink and the audio module to control and communicate with the robot, wherein the sensor module comprises a depth camera, a laser sensor, a mobile phone recognition device, an infrared sensor, an ultrasonic sensor and a radiation dose chip, wherein the power module consists of a motor and an electronic speed controller and is thus responsible for the movement of the robot, wherein the robot arm module comprises a motor and a robot arm controller as well as an integrated NFC module on the robot arm, and wherein the power supply module comprises a battery, a power supply manager and a power supply display screen, while the audio module provides remote voice interaction.

The invention relates to the technical field of petroleum drilling and production, in particular to an iron roughneck coupling detection method and system based on deep learning, an identification device inputs a first original image into a coupling detection model to obtain coordinates of a coupling in a pixel coordinate system; the backbone network of the coupling detection model is used for extracting image features of an original image, and comprises joint attention modules respectively added behind two down-sampling modules of the backbone network; the joint attention module is used for carrying out attention weight assignment on the first original feature image along a channel dimension and a space dimension and then carrying out feature fusion to obtain a feature fusion image; and the recognition device generates a control instruction according to the coordinates of the coupling in the pixel coordinate system and sends the control instruction to the iron roughneck central control device, so that the iron roughneck central control device controls the iron roughneck to perform screwing-on / screwing-off operation. The system has the beneficial effects that full intelligence and automation of iron roughneck control are realized through the high-precision coupling detection model.

To provide a new technique for enhancing interest.SOLUTION: The game apparatus includes an acquirer configured to acquire character string information relating to acquisition of a game element, a specifier configured to specify the game element from the character string information, a display controller configured to display one or more pieces of character string information acquired by the acquirer on a display in a selectable state, and a controller configured to control, based on selection of any one of the one or more pieces of character string information, the game element specified from the selected character string information to be in an acquisition state in the game.SELECTED DRAWING: Figure 8

A vehicle control controller is configured to acquire information on an obstacle in front of a vehicle acquired by an external world recognition device, and to output, based on the acquired obstacle position and own vehicle position, a first notification command for controlling a notification unit so as to give to a driver a notification for urging the driver to avoid touching a steering wheel when transitioning to an autonomous emergency avoidance steering mode for avoiding the obstacle based on control by an electric power steering device.

The application discloses a sealing cover structure of a liquid storage box, which is installed at a delivery opening of the liquid storage box, and normally seals the delivery opening to form a closed chamber for storing additives in the liquid storage box. An identification device is arranged on the sealing cover structure to identify the type and / or amount of the additives in the liquid storage box. The application also provides a delivery device, wherein the delivery opening of the liquid storage box is provided with the sealing cover structure. The delivery device further comprises a delivery unit, which is connected to the inside of the liquid storage box through the sealing cover structure. Meanwhile, the application also provides a clothes treatment apparatus, which is provided with the delivery device to automatically deliver the additives. Through the above arrangement, the type and / or amount of the additives in the liquid storage box can be accurately identified based on the identification device.

The present application provides a reusable intelligent automatic injector, comprising: a host, which comprises: a housing, which forms an inner cavity, the inner cavity is configured to be able to detachably receive a syringe silo structure, and the syringe silo structure contains a prefilled injection syringe; a driving device, which is configured to push the push rod of the prefilled injection syringe; an identification device, which is configured to be able to identify the drug information on the prefilled injection syringe; a storage device, which stores injection information corresponding to the drug information; and a control device, which is configured to receive the drug information from the identification device, search for the injection information corresponding to the drug information in the storage device, and send a driving signal to the driving device based on the injection information to perform automatic injection. According to the present application, a simple, accurate and safe intelligent injection can be provided.

A rubber coating for a radiofrequency identification device for a tyre characterized in that it comprises: (a) 100 phr of at least one diene-based elastomer; (b) at least one chemical according to formula (1) wherein the chemical comprises in its structure at least the structure of the 2,2′-methylenediphenol, and wherein the 2,2′-methylenediphenol may be substituted in ortho, para, meta position or any combination thereof with an aliphatic, linear or branched, hydrocarbon chain comprising from 1 to 10 C atoms, or may be polymerized in ortho, para, meta position or any combination thereof with one or more additional alkylphenol units. A radiofrequency identification (RFID) module for a tyre comprising a radiofrequency identification device surrounded by a rubber coating, a tyre or a tyre retread comprising such radiofrequency identification module, and use of a rubber coating for surrounding a radiofrequency identification device.

The invention discloses a brown sugar type identification device and method. The brown sugar type identification device comprises a computer and two detection mechanisms, each detection mechanism comprises an electrochemical workstation, a liquid injection module, a magnetic stirrer, a beaker, a three-electrode sensor and a sensor support, the beaker is placed on the magnetic stirrer, a magnetic stirrer of the magnetic stirrer is placed in the beaker, and the three-electrode sensor is arranged on the three-electrode sensor. The three-electrode sensor extends into the beaker, the sensor support is used for fixing the three-electrode sensor, the liquid injection module is used for injecting liquid into the beaker, the three-electrode sensor is electrically connected with the electrochemical workstation, and the computer is electrically connected with the electrochemical workstation, the liquid injection module and the magnetic stirrer. The brown sugar type can be quickly and accurately identified, and the operation is simple.

Disclosed in embodiments of the present description is a sign language recognition method, comprising: acquiring a video stream to be recognized, said video stream comprising continuous sign language action image sequences; acquiring a hand motion posture sequence corresponding to each sign language action image sequence in said video stream; inputting said video stream into a pre-trained first recognition model to obtain a first recognition result, the first recognition result comprising first probability distribution of each target word in a preset word list; inputting the hand motion posture sequence into a pre-trained second recognition model to obtain a second recognition result, the second recognition result comprising second probability distribution of each target word in the word list; and determining a target text on the basis of the first recognition result and the second recognition result. Correspondingly, disclosed in the present invention are a sign language recognition apparatus, and a corresponding interaction system and electronic device.

A system for charging a plurality of worker devices for use by a plurality of users is disclosed. The system includes one or more charging stations, each charging station including a plurality of storage housings, one or more detection devices, and an identification device, and a controller. The controller is configured to selectively lock and unlock the plurality of worker devices in the plurality of storage housings of the one or more charging stations, electrically charge the plurality of worker devices when locked in the plurality of storage housings of the one or more charging stations, and validate an identity of the plurality of users with the identification device of the one or more charging stations when the plurality of users removes or returns the plurality of worker devices to the plurality of storage housings of the one or more charging stations.

The invention discloses an interactive security management monitoring system for a smart cemetery, and relates to the technical field of smart cemetery. The system comprises a multi-source data fusion system and a dynamic risk assessment system, the multi-source data fusion system comprises an Internet of Things sensing layer composed of a parking management module, an intelligent monitoring module and a fire early warning module, and the parking management module is integrated with a license plate recognition device and a parking space reservation unit. Through a multi-source data fusion system, cross-protocol data integration and real-time interaction of parking management, intelligent monitoring and a fire early warning module are realized, a data transmission channel between heterogeneous equipment is opened based on a LoRaWAN communication protocol, vehicle space-time information, human body behavior characteristics and environmental parameters are fused into a unified data stream, and the data stream is integrated into a whole. The traffic flow scheduling efficiency and the fire prejudgment accuracy in the peak period of tomb sweeping are remarkably improved, and the problems of emergency resource mismatching and response delay caused by module isolation of a traditional system are thoroughly solved.