2157 results about "Close range" patented technology

The invention discloses an intelligent driving multi-sensor fusion data processing system, which belongs to the technical field of fusion data processing and comprises a data preprocessing unit, a data fusion unit and a data post-processing unit. The data preprocessing unit normalizes the original data of the laser radar, the camera, the millimeter wave radar and the ultrasonic sensor through a standardization, cleaning, noise reduction and calibration synchronization module; the feature level fusion module deeply digs the characteristics of each sensor, and fuses geometric, visual, motion and close-range obstacle features by using a deep neural network; the decision-making level fusion module generates a driving instruction through weighted voting and fuzzy logic reasoning through classification and situation evaluation; and the data post-processing unit combines the vehicle and road condition optimization instruction, evaluates the risk, and stores the data feedback optimization system. The system can improve the sensing precision and decision reliability, enhances the expansion adaptability of the system, and provides guarantee for safe and efficient operation of intelligent driving.

The invention discloses a multi-target detection and tracking method, and relates to the technical field of computer vision and intelligent monitoring. The method comprises the following steps: acquiring multi-source video data of an unmanned aerial vehicle and a middle-high point fixed camera, and after scene adaptation preprocessing, outputting a target detection frame by using a multi-scale detection model fused with scene context; block enhanced appearance features and geometrical relationship features of the target are extracted to construct a dynamic feature library, and an initial track is generated based on a multi-stage adaptive association mechanism; through a child-mother type multi-machine collaborative optimization track, linkage control is triggered in combination with abnormal behavior analysis, and close-range evidence obtaining of the unmanned aerial vehicle and linkage of fixed equipment recording are controlled. According to the method, the multi-source data fusion capability, the multi-scale target detection precision and the trajectory association robustness in a complex scene are improved, and intelligent management and control requirements in the fields of traffic, forestry and the like can be efficiently supported.

The invention provides an image rendering method and device, electronic equipment and a storage medium, and the method comprises the steps: calculating a distance between a virtual image obtaining device and a to-be-rendered object through determining the to-be-rendered object in a to-be-rendered scene, and determining the distance as a first loading factor; determining a rendering picture pixel proportion of each to-be-rendered object based on preset view cone size information, determining the rendering picture pixel proportion as a second loading factor, generating a rendering loading priority sequence according to the first loading factor, and determining a model level resource file and a texture level resource file according to the second loading factor, loading the resources to a video memory for rendering according to the sequence; the priority is determined by calculating the distance between the camera and the to-be-rendered object, it is ensured that a high-quality model and texture of a close-range object are loaded preferentially, the instantaneity of the rendering loading process is improved, texture and model grade division is conducted through the pixel proportion of the to-be-rendered object in the picture, and the rendering efficiency is improved. The occupation of a video memory is reduced, and the overall rendering performance of the system is improved.

Disclosed is an outdoor mobile robot manipulator for the automatic handling of railway inter box connectors (IBC) in an intermodal rail yard. The manipulator includes a dual-mode adaptive suspension for protection of the robotic arm and end-effector against shock and vibration, a universal fingerless gripper capable of manipulating main types of rail IBCs, a blind IBC type recognition based on force sensor and close-range proximity sensors, and other protection gears enabling the manipulator to work in harsh outdoor working environments.

The invention provides a close-range radio frequency electromagnetic field immunity test method and system, and relates to the technical field of communication detection, and the method comprises the steps: collecting near-field electromagnetic field distribution data and near-field frequency spectrum power distribution data formed by a radio frequency interference source on the surface of a tested device; constructing a near-field electromagnetic field distribution model; according to the frequency spectrum overlapping degree between the near-field frequency spectrum power distribution data and the working frequency band of the tested equipment, calculating the interference intensity of a radio frequency interference source on the tested equipment, and calculating the power of a target interference source according to the interference intensity through a dynamic frequency spectrum adaptation algorithm; regulating and controlling a radio frequency interference source to generate a radio frequency interference source signal with target interference source power; and monitoring an electromagnetic coupling coefficient of the tested equipment for the radio frequency interference source signal based on the electromagnetic field intensity distribution model so as to generate an immunity test result. Therefore, an actual interference scene of modern wireless equipment in a near-field environment can be simulated more accurately, and comprehensive evaluation of the equipment immunity under high-frequency and near-field conditions is realized.

The embodiment of the utility model provides clothes processing equipment, which comprises a box body, a clothes processing drum and a wireless energy supply assembly, the box body comprises a rear plate, the clothes processing drum is rotatably arranged in the box body, the clothes processing drum comprises a drum body and a rear cover, and the rear cover is arranged at the rear end of the drum body; the wireless energy supply assembly comprises a transmitting module and a receiving module, and the receiving module is used for receiving an electromagnetic signal transmitted by the transmitting module and generating an induced current; the transmitting module is arranged on the rear plate, and at least one part of the receiving module is arranged on the rear cover. According to the clothes processing equipment provided by the embodiment of the invention, the transmitting module and the receiving module can transmit electric energy without contact, and electric energy transmission between the relatively rotating clothes processing drum and the relatively static rear plate is realized. The receiving module supplies power to the electrical elements, so that the electricity demand of the electrical elements is met, and the clothes state can be sensed in a close range.

The invention provides an access control method and system based on multi-type intelligent locks and a storage medium. The mobile intelligent lock sends an intelligent door lock ID to the community access control by responding to close-range contact between the mobile intelligent lock and the community access control; the intelligent door lock and the community access control are registered in the lock management platform; the mobile intelligent lock records a corresponding intelligent door lock ID; sending a door lock IP address request message to the lock management platform according to the community access control; the request message comprises an intelligent door lock ID; the lock management platform determines an intelligent door lock IP address according to the door lock IP address request message and returns the intelligent door lock IP address to the community access control; a face image carrying the mobile intelligent lock is obtained through a community access control, a verification message is sent to the IP address of the intelligent door lock, and the community access control is controlled to be opened according to a verification result. Compared with the prior art, the access control system facilitates access of community members, and meanwhile, the access control system does not need to retain face features of each family member, so that privacy is protected.

The invention provides a power transmission line forest fire risk assessment method and system driven by a flame combustion model, relates to the technical field of electrical engineering, establishes a multi-source data fusion fire point monitoring system, and comprehensively utilizes three monitoring modes of satellite remote sensing, a ground monitoring station and unmanned aerial vehicle inspection to collect fire point data information. According to the method, multi-source cooperative complementary monitoring is realized, the satellite remote sensing, the ground monitoring station and the unmanned aerial vehicle are comprehensively used for routing inspection, the limitation of a traditional monitoring means is overcome, the satellite remote sensing coverage is wide, and large-area fire points can be found in time; a ground monitoring station carries out precise monitoring in a close-range and complex terrain area; the unmanned aerial vehicle is flexible in routing inspection and high in resolution, low-altitude detailed reconnaissance can be realized, and the three parts cooperate to comprehensively improve the monitoring accuracy and reduce missing report and false report.

The invention discloses a cleaning robot navigation system, which comprises a central control unit, a sensor module, a motion control system, a cleaning assembly, a communication assembly, a safety and diagnosis module and a battery and power supply management module, and is characterized in that the sensor module comprises a laser radar, an ultrasonic sensor, a visual camera and an inertial measurement unit; the laser radar is used for environment scanning and obstacle detection, the ultrasonic sensor is used for close-range obstacle detection, the visual camera is used for image processing and ground analysis, and the inertial measurement unit is used for attitude and position detection. A series of innovative technologies such as advanced sensor technology, data fusion, path planning, dynamic obstacle avoidance, cleaning task optimization and the like are combined, and a plurality of problems faced by an existing cleaning robot are solved. According to the technical scheme, the cleaning robot can be remarkably improved in the aspects of environment perception, navigation precision, cleaning efficiency, task optimization and the like.

The embodiment of the utility model provides clothes processing equipment which comprises a clothes processing drum and a wireless energy supply assembly, the wireless energy supply assembly comprises a transmitting module, a receiving module and at least one support, the transmitting module is arranged on a part outside the clothes processing drum, and the receiving module is arranged on the clothes processing drum; the transmitting module comprises a transmitting coil, the receiving module comprises a receiving coil, and the receiving coil is used for receiving electromagnetic signals transmitted by the transmitting coil and generating induction current; the at least one support is used for supporting the transmitting coil and / or the receiving coil. According to the clothes processing equipment provided by the embodiment of the invention, the transmitting module and the receiving module can transmit electric energy without contact, and electric energy transmission between the relatively rotating clothes processing drum and the relatively static clothes processing drum is realized. The electrical apparatus element of the clothes processing equipment can be arranged in the clothes processing drum, and the receiving module supplies power to the electrical apparatus element, so that the electricity demand of the electrical apparatus element is met, and the close-range sensing of the clothes state is facilitated.

The invention relates to the technical field of unmanned aerial vehicle control, in particular to a short-distance unmanned aerial vehicle aerial material delivery platform which comprises a real-time load monitoring module, a path planning calculation module, an obstacle avoidance module, a position safety evaluation module, a control parameter analysis module and an unmanned aerial vehicle landing control module. According to the invention, the flight plan is dynamically adjusted through real-time load monitoring, flight accidents caused by overweight and imbalance of delivered materials are reduced, the energy consumption and flight efficiency of the unmanned aerial vehicle are optimized by combining path planning calculation, and the autonomy of the unmanned aerial vehicle in a complex environment is improved and the collision risk is reduced through obstacle identification and avoidance. Position safety evaluation is utilized to ensure that the unmanned aerial vehicle identifies a safety point position in the delivery stage, the delivery accuracy is improved in combination with optimization of control parameters, safe delivery of materials is ensured, and landing control of the unmanned aerial vehicle optimizes the landing process through accurate analysis of terrains and obstacles, so that the safety of the unmanned aerial vehicle is ensured.

The embodiment of the utility model provides clothes processing equipment, which comprises a clothes processing drum, a wireless energy supply assembly, an electric appliance element and a cable, and is characterized in that the clothes processing drum is provided with at least one wire leading port; the wireless energy supply assembly comprises a transmitting module and a receiving module, and at least one part of the receiving module is arranged outside the clothes processing drum; the electric appliance element is arranged in the clothes processing drum, the receiving module and the electric appliance element are in conductive connection through a cable, and the cable penetrates through the wire leading opening. According to the clothes processing equipment, the transmitting module and the receiving module can transmit electric energy without contact, electric wire connection is not needed, the reliability is high, when the clothes processing drum rotates, the receiving module and the cable rotate synchronously, electric connection between the receiving module and the electric appliance element is stable, and the reliability is high. Therefore, the electrical apparatus element can sense the state of the clothes in a close range and execute specific functions, the working performance of the clothes processing equipment is improved, the cable leading port can also perform auxiliary positioning on the cable, and the rotation stability of the cable to the clothes processing drum is improved.

The invention discloses a visual tracking and real-time guiding robot and conveying belt following method, and belongs to the technical field of book packaging, the visual tracking and real-time guiding robot and conveying belt following method comprises a conveying belt device used for conveying articles and having adjustable running speed and direction control functions; the robot main body is arranged on one side of the conveying belt device; the fixed vision device is connected with the robot main body; through cooperative work of the robot vision module and the independent fixed vision device on the robot body, all-directional vision coverage of the conveying belt and the surrounding environment is achieved, and the robot vision module focuses on local detail information of the robot and objects on the conveying belt; the relative position and posture change of the robot and an object can be captured in a close-range and high-precision mode in the operation process of the robot, and the fixed vision device continuously monitors the overall condition of the conveying belt from the overall perspective.

An apparatus comprises an interface and a processor. The interface may be configured to receive pixel data representing a first field of view of a camera and four-dimensional (4D) point cloud data representing a second field of view of a 4D imaging radar sensor. The first field of view of the camera and the second field of view of the 4D imaging radar sensor generally overlap. The processor may be configured to process the pixel data and the 4D point cloud data arranged as video frames and perform an extrinsic parameter calibration for the 4D imaging radar sensor and the camera based on adaptive projection error. The extrinsic parameter calibration may comprise applying a pose calibration process to the video frames. The pose calibration process may use (i) a respective translate vector and a respective rotation matrix for each of the 4D imaging radar sensor and the camera and (ii) a radar corner reflector to obtain configuration parameters for the first field of view of the camera and the second field of view of the 4D imaging radar sensor. The pose calibration process generally comprises capturing data for a plurality of positions of the radar corner reflector between a near-distance value and a long-distance value, and modifying a scale of a projection error of the radar corner reflector based on a size of the radar corner reflector in an image captured by the camera.

The invention relates to an automatic emergency braking control method and device, computer equipment and a vehicle. The method comprises the following steps: acquiring own vehicle state information, and determining whether an own vehicle meets a preset effective condition or not according to the own vehicle state information; under the condition that the own vehicle state information meets a preset effective condition, target vehicle state information is obtained, and the longitudinal collision time between the own vehicle and the target vehicle is calculated according to the target vehicle state information and the own vehicle state information; under the condition that the longitudinal collision time meets a preset collision condition, determining that the target vehicle is a short-distance early warning target, and giving an alarm; and detecting the definition of the current lane line, and controlling the vehicle to brake and decelerate according to the current road curvature under the condition that the current lane line is not clear and the vehicle is in a stable straight moving state. The method can adapt to vehicle requirements, reduces the false triggering probability, avoids vehicle instability, and improves the vehicle driving safety and reliability.

The invention provides a real-time human body detection method and system based on a microwave radar, and is applied to the field of signal data processing. By constructing a sparse reconstruction model and combining multi-dimensional feature decomposition, the method effectively relieves the recognition difficulty caused by target signal aliasing, continuously outputs and receives radar signals, extracts distance, Doppler and angle features, constructs target distribution point clouds in a three-dimensional feature space, further utilizes angle continuity judgment and point cloud density analysis, and improves the recognition accuracy of target distribution point clouds. According to the method, the number and distribution of overlapped targets are accurately estimated, a Kalman filter is introduced for dynamic tracking for a scene in which a continuous area is not formed, continuous separation and pseudo-color image reconstruction of multiple targets are realized, and thus the resolution precision and target positioning capability of a radar in a multi-person close-range aggregation scene are remarkably improved.

The invention discloses a camera and millimeter wave radar fusion three-dimensional target detection method based on time sequence fusion, and belongs to the technical field of three-dimensional target detection of computer vision. The invention provides a time sequence modeling framework integrating a camera and a millimeter-wave radar for solving the problems that pure visual perception lacks space measurement capability and a traditional time sequence fusion strategy has limitation in the aspects of dynamic target alignment and fusion efficiency. According to the framework, firstly, clustering processing is carried out on radar point clouds, instance features are extracted, and the instance features are used as initialization input of self-adaptive query, so that the number of iterations of a decoder is effectively reduced. By introducing a time sequence transmission mechanism based on a query instance, high calculation overhead caused by global feature alignment is avoided, and the motion state and time-space characteristics of a dynamic target are captured more accurately. A local self-attention mechanism is constructed by introducing a distance penalty term, close-range matching between query instances is realized, and the spatial alignment precision and fusion effect of multi-source data are further improved.

The embodiment of the utility model provides clothes processing equipment, which comprises a box body, a clothes processing drum, a main control board, a wireless energy supply assembly and a cable, and is characterized in that the box body comprises a rear plate; the wireless energy supply assembly comprises a transmitting module and a receiving module, and the receiving module is used for receiving an electromagnetic signal transmitted by the transmitting module and generating an induced current; the transmitting module comprises a transmitting coil, the transmitting coil is arranged on the side, facing the clothes processing drum, of the rear plate, and the transmitting coil and the main control board establish a conductive path through a cable; the rear plate is provided with a first wire passing opening, one end of the cable is connected with the transmitting coil, and a part of the cable penetrates out of the first wire passing opening to the side, away from the clothes processing drum, of the rear plate. According to the clothes processing equipment, the transmitting module and the receiving module can transmit electric energy without contact, wire connection is not needed, the reliability is high, the electricity utilization requirement of electrical elements can be met, the clothes state can be sensed in a close range, and specific functions are achieved.

The invention discloses a wind power plant intelligent video monitoring and abnormal behavior recognition system, method and device and a medium, and belongs to the technical field of wind power generation, and the system comprises a multi-mode collection module which is used for collecting various data of a wind power plant; the edge calculation module is used for receiving and primarily processing data of the wind power plant; the communication network module is used for transmitting the processed data of the wind power plant to the central server cluster module; the central server cluster module is used for receiving the data transmitted by the communication network module and executing deep learning model training and large-scale data analysis; and the unmanned aerial vehicle subsystem is used for executing large-range inspection and close-range inspection and transmitting the acquired data to the central server cluster module through the communication network module. The problems that a traditional wind power plant monitoring system is difficult in data integration, weak in analysis capacity and poor in real-time performance are solved, the operation efficiency, safety and reliability of a wind power plant are remarkably improved, and technical support is provided for sustainable development of the wind energy industry.

The invention discloses a vertical rail scanning remote sensing satellite natural multi-coverage image resolution improving method and system, and relates to the field of remote sensing image processing. The method solves the problems that due to the fact that the distance between an existing vertical rail scanning imaging sensor and a ground target is increased, image pixels cover a wider ground range, the actually-measured spatial resolution is reduced, and fine detection and recognition of ships, aircrafts and the ground target cannot be supported. SIFT feature point extraction is carried out, and feature points extracted from different images are matched by using a Euclidean nearest distance matching strategy; taking one registered image as a reference, and constructing an initial high-resolution image through up-sampling; establishing an imaging degradation model from a high-resolution image to a low-resolution observation image; calculating a residual image of the simulation image and the real observation image; and back-projecting the residual error back to the high-resolution image space, and updating high-resolution image estimation.

The utility model discloses a rocket type catching net launching device which comprises gun barrels, gas bombs, a percussion mechanism, a catching net, a cartridge receiver and a folding telescopic rod, the gas bombs are arranged in the corresponding gun barrels, the percussion mechanism is arranged at the tail ends of the gun barrels, the catching net is connected with the gas bombs, and a fixing part is fixedly installed at the front end of an inner cavity of the cartridge receiver. The tail end of the gun barrel is detachably installed on the front side of the fixing component, and the folding telescopic rod is arranged at the front end of the gun barrel. The high-pressure gas cylinder is adopted as launching power, compared with power sources such as ammunition and fuel, higher safety is achieved, materials are easy to obtain, cost is lower, the unfolding angle of the gun barrel can be freely adjusted according to actual requirements, the larger the unfolding angle is, the higher the unfolding speed of the catching net is, and the closer the flying distance is. The method is suitable for close-range combat; otherwise, the smaller the unfolding angle is, the slower the unfolding speed of the catching net is, the farther the flying distance is, and the catching net is suitable for long-distance combat.

The invention provides a deep learning-based automatic sketching method and system for high-risk clinical target regions and endangered organs in cervical cancer brachytherapy, and is applied to the technical field of data processing. According to the application, CT image information and MR image information of a cervical cancer patient are processed based on a positioning network, and 3D position information and form information of a source applicator and image feature sequence information are generated; performing classification processing on the CT image information of the cervical cancer patient based on a positioning network, and generating a priori knowledge label; processing the priori knowledge label based on the segmentation network, and generating a source applicator positioning target factor; the source applicator positioning target factor, the 3D position information and form information of the source applicator and the image feature sequence information are processed based on the segmentation network, and high-risk clinical target region and organ segmentation parameter information is generated; and processing the high-risk clinical target region and organ segmentation parameter information to generate an automatic sketching result of the high-risk clinical target region and the organ at risk for cervical cancer close-range treatment.

The invention discloses a handheld integrated itinerant detector and an itinerant detection method thereof. The itinerant detector comprises a multi-source sensing unit and a magnetic attraction positioning module, the inspection method comprises the following steps: establishing a multi-dimensional calibration parameter of a target device, adsorbing on the surface of the target device based on a magnetic attraction positioning module, loading a spatial layout, and generating an environment calibration model; synchronously operating the far / close distance temperature measurement module and the vibration sensing module, and outputting multi-source fusion data; performing dynamic correlation analysis, analyzing vibration spectrum energy distribution by using a feature extraction algorithm, constructing a vibration-temperature coupling feature vector in combination with temperature gradient change, inputting a fault diagnosis result of a pre-trained fault diagnosis model, generating a visual early warning map, and feeding back the early warning map in real time through an interactive interface; according to the method, the limitation of single parameter monitoring is overcome, the detection precision is remarkably improved, and a real-time, rapid and accurate fault detection result is provided through self-adaptive switching of a temperature measurement mode and a multi-frequency-band vibration acquisition strategy.

The invention discloses a cable channel heating defect checking method based on a multi-legged inspection robot, and relates to the technical field of radiation temperature measurement, and the method comprises the steps: controlling the multi-legged inspection robot to autonomously advance in a cable channel, and collecting multi-source sensing data; constructing spatial-temporal feature representation of the cable channel based on the multi-source sensing data, and constructing a multi-modal graph neural network model to perform heating anomaly detection to obtain an initial detection result; when a suspected defect exists in the initial detection result, a multi-legged inspection robot is scheduled, a reinspection path and a detection mode are selected according to a reinforcement learning strategy, and a multi-modal graph neural network model is used for performing close-range reinspection on the position of the suspected defect; and performing fusion analysis on the initial detection result and the reinspection result, and outputting positioning information, defect type and confidence of the heating defect of the cable channel. According to the method, high-sensitivity identification of potential heating anomalies is realized, the missing report rate is remarkably reduced, the reinspection efficiency is improved, and repetition and omission are effectively avoided.

The invention discloses a graphic processing unit cooperative processing method and system for accelerating a three-dimensional generative model. The model comprises a diffusion processing stage and a Gaussian splash rendering stage. In the diffusion processing stage, the time step number and the data precision calculated by the neural network are dynamically adjusted according to the visual angle sensitivity, and a specific graphic processing unit core is scheduled for execution. In the Gaussian splash rendering stage, pixel block tasks are predicted and intelligently scheduled to a stream processor based on historical data; and in the stream processor, the processing sequence of the Gaussian ball by the rendering unit is optimized according to the geometric distance, and the close-range unit is preferentially processed. During back propagation, the built-in logic of the stream processor preaggregates the gradient contributions of the same Gaussian ball, and then updates the gradient contributions through a single write operation. Through collaborative optimization of software and hardware, the efficiency bottleneck of the 3D generation model on a graphic processing unit is effectively solved, the calculation speed, the throughput and the hardware utilization rate are remarkably improved, and the model generation time is shortened.

The invention provides a high-precision optical pose measurement method based on tower recovery, which adopts a close-range bidirectional optical cooperation mode, measures a mark point of a recovery tower through an optical detector on a rocket, and determines the distance and the pose of the rocket relative to the recovery tower; and the optical measurement system of the recovery tower synchronously detects and identifies the rocket and controls a capture arm and a buffer mechanism of the recovery tower to move, and optical measurement data of the recovery tower are fed back to the rocket and are integrated with optical measurement data on the rocket to control landing of the rocket. According to the invention, optical measurement and navigation are introduced into rocket tower type recovery, and the method has the advantages of high measurement precision, high data frequency, interference resistance and the like. The relative relation between the rocket and the recovery tower can be directly obtained through optical pose measurement, compared with inertial navigation, the coordinate conversion process can be reduced, and the advantage of no accumulated error is achieved. Compared with satellite navigation, optical pose measurement does not depend on external signals, and higher independence and electromagnetic resistance are achieved.

The invention relates to the technical field of three-dimensional reconstruction, and discloses a close-range three-dimensional reconstruction method, device and equipment based on 3DGS. The method comprises the following steps: annularly shooting a target close shot based on image acquisition equipment to obtain a photo set; performing three-dimensional reconstruction according to the photo set by adopting a 3DGS technology to obtain a 3DGS model; reading point cloud file information of the 3DGS model, and performing format conversion on the point cloud file information to obtain general three-dimensional grid model data; and performing three-dimensional rendering based on the general three-dimensional grid model data to visualize the target close shot. According to the method, a finer three-dimensional model is formed in a scene of a close-range model by means of the capability of the 3DGS technology in three-dimensional reconstruction. According to the method, format conversion is additionally carried out on the ply point cloud file information generated by the 3DGS model, standardized general three-dimensional grid model data are formed, and the problem that a traditional ply point cloud has an obvious needling shape in a close-range mode and is not suitable for engineering application is solved.

The embodiment of the invention discloses a cross-modal biological feature generation type enhancement method and system. The method comprises the following steps of: constructing a cross-modal biological feature recognition model, respectively acquiring long-distance modal data and short-distance modal data of a user, extracting feature vectors, pre-recognizing the user based on the long-distance feature vectors, finely recognizing the user based on the short-distance feature vectors, and carrying out mutual complementation and fusion on various modal features, so as to improve the recognition accuracy of the user. According to the method, the limitation that a single mode is low in recognition accuracy and prone to being interfered under different distance scenes is overcome, the identity recognition safety is improved, and through a secondary recognition mechanism combining pre-recognition and fine recognition, the efficiency and precision of identity recognition are improved while the system load is reduced.

A first wireless power system having a first transmit device and a first receive device is operable in close proximity to a second wireless power system having a second transmit device and a second receive device. Each transmit device includes a respective coil driven by an inverter and measurement circuitry that controls the power transmitting devices to promote coexistence of the nearby systems.

The invention relates to the technical field of clothes treatment, in particular to clothes treatment equipment, and aims to solve the problem that clothes treatment equipment in the prior art cannot accurately detect the drying degree of clothes. To this end, the clothes treating apparatus of the present invention comprises: a drying drum rotatably arranged; the dryness judging sensor is arranged on the lifting rib in the drying cylinder and used for detecting the dryness degree of the clothes; the signal transmitting module is arranged to rotate along with the drying cylinder and is in communication connection with the dryness judging sensor; and the power supply component comprises a transmitting coil and a receiving coil, the transmitting coil is fixedly arranged, the receiving coil is installed on the drying cylinder, and the receiving coil is electrically connected with the signal transmitting module and the dryness judgment sensor. The dryness judgment sensor is arranged on the lifting rib and can make contact with the clothes for a long time at a short distance, so that the drying degree of the clothes is more accurately detected, and the power supply component prevents the dryness judgment sensor from rotating along with the drying cylinder to cause breakage of a circuit.