38results about How to "Low hardware requirements" patented technology

The invention discloses a forklift collision early warning system adopting three-dimensional point cloud information to correct two-dimensional image coordinates, and belongs to the field of industrial safety monitoring. Comprising a video data acquisition module, a three-dimensional point cloud data acquisition module, an image target detection module, a three-dimensional point cloud target detection module, a correction model training module, a coordinate correction module, a target tracking module, a target distance calculation module and an alarm module. The invention further discloses a forklift collision early warning method adopting the three-dimensional point cloud information to correct the two-dimensional image coordinates. According to the method, the image target coordinates are corrected by collecting and detecting the image target and the three-dimensional point cloud target and mapping the model between the image target coordinates and the three-dimensional point cloud target coordinates, so that the influence of perspective distortion of the two-dimensional image is effectively reduced, and the accuracy of the forklift collision early warning system is improved while the real-time performance is ensured.

The application discloses a visual perception method for assisted driving, comprising the following steps: S100, collecting assisted driving image data, and constructing input X after data set preprocessing; S200, constructing a multi-task neural network model F and substituting the input X into the model to obtain a plurality of branch task-specific outputs f i ; S300, calculating the final loss function L all of the multi-task neural network model F; S400, optimizing the minimum as the target of the loss function L all , and finally obtaining the optimal multi-task neural network model F * . A system using the above visual perception method for assisted driving is also disclosed, specifically comprising a data input module, a shared layer feature extraction module, a task layer structure search module and a model output module. The application has the beneficial effect that a multi-task model is constructed to effectively reduce the network parameter quantity and the calculation quantity, simultaneously reduce the online reasoning time, and is very beneficial to practical application.

The application provides a display device, which comprises a liquid crystal prism panel, the liquid crystal prism panel comprises a plurality of electrode groups, the electrode groups comprise a plurality of electrodes arranged in sequence and at intervals; the absolute values of voltages on at least two electrodes in the electrode groups comprise a first voltage segment, and the proportion of the time length of the absolute values of voltages on the at least two electrodes in the first voltage segment in the time length of the first time segment is different. The display device provided by the embodiment of the application reduces the complexity of the driving circuit of the liquid crystal prism panel and reduces the hardware requirements for the driving circuit of the liquid crystal prism panel.

This invention relates to the technical field of seismic data interpretation, and discloses a method and computer equipment for identifying the locations of beaded reflections in carbonate rocks. The identification method includes: S1, obtaining a two-dimensional seismic migration profile; S2, extracting typical beaded reflections, determining their dimensions, statistically analyzing their structural morphology, and constructing adaptive hit-and-miss structural element pairs; S3, using a hit-and-miss transformation to identify locations that match the adaptive hit-and-miss structural element pairs. This invention's identification method extracts multiple typical beaded reflections, constructs adaptive hit-and-miss structural element pairs, and only identifies locations that match these pairs. Based on a hit-and-miss transformation algorithm, this algorithm has low hardware requirements, high computational efficiency, and high accuracy.

The present application relates to a method, device, computer equipment and storage medium for evaluating a driver's concentration, wherein the method comprises: detecting each frame of the driver's head and shoulder image, obtaining the driver's head posture angle data, and generating a head posture angle feature map corresponding to each head posture angle data; obtaining the first posture angle data of the current vehicle corresponding to each frame of the head and shoulder image, and generating a vehicle posture angle feature map corresponding to each first posture angle data; extracting the driver's first binocular image from each frame of the head and shoulder image, and generating a gaze point feature map corresponding to each first binocular image; performing multimodal feature fusion on the head posture angle feature map, the vehicle posture angle feature map and the gaze point feature map, and evaluating the driver's concentration based on the fusion result to obtain the driver's concentration level. Through the present application, the problem of being unable to accurately and comprehensively evaluate the driver's concentration is solved, and an accurate and comprehensive evaluation of the driver's concentration is achieved.

The embodiment of the application relates to the radar technical field, and discloses a signal processing method, an electronic device and a storage medium. The signal processing method comprises the following steps: transmitting a detection signal in a Doppler multiplexing (DDM) mode through a plurality of transmission channels; processing a return signal to obtain distance-Doppler two-dimensional data; calculating a likelihood probability of a Doppler spectrum under different aliasing combination conditions of transmission channel orders of at least two targets according to the distance-Doppler two-dimensional data; and determining Doppler spectra of the targets according to an aliasing combination corresponding to a maximum value of the likelihood probability. At least, it is beneficial to correctly restore signals before Doppler spectrum aliasing in the presence of at least two targets.

The application discloses a three-level coordinated production line body intelligent control method and system, and belongs to the technical field of intelligent manufacturing. The method comprises the following steps: establishing a global task planning layer, performing semantic analysis and logical disintegration at a first preset frequency, and generating an atomic action sequence; establishing a local space perception layer, receiving the atomic action sequence at a second preset frequency, constructing a dynamic local map by using sensor data, determining a workpiece pose by point cloud registration, and mapping the atomic action sequence into a continuous motion trajectory flow; establishing a real-time action execution layer, receiving an instantaneous target pose at a third preset frequency, calculating a theoretical driving torque by combining a Lagrange dynamics equation, switching to an impedance control mode at a contact moment, and driving an execution mechanism to complete work; and establishing an asynchronous coordination layer, realizing three-layer asynchronous communication through an industrial network, and controlling the three-layer frequencies to be distributed in a ladder type in an increasing manner. The application has the effects of improving the flexibility, precision and safety of a production line.

The present invention discloses a method and related apparatus for interaction between vehicle-mounted driver and passenger assistance devices. The method for interaction between vehicle-mounted driver and passenger assistance devices comprises: the vehicle-mounted master control device transmits the personalized interface corresponding to the at least one vehicle-mounted slave control device to each vehicle-mounted slave control device respectively through a wireless local area network connection pre-established with the vehicle-mounted slave control device; in response to an operation request for the personalized interface forwarded by the vehicle-mounted slave control device through the wireless local area network, the vehicle-mounted master control device processes the operation request and generates a processing result interface, and returns the processing result interface to the corresponding vehicle-mounted slave control device through the wireless local area network. The present invention reduces the cost of vehicle-mounted driver and passenger assistance devices in a car. When the driver and passengers are riding in a car, they can share the application of the vehicle-mounted master control device through the vehicle-mounted slave control device, and can interact with the vehicle-mounted master control device to enjoy the application service, and the user experience is good.

The application discloses an online action detection method based on a light-weight Transformer, and comprises the following steps: setting a detection model, wherein the detection model is based on a Transformer model; acquiring features of a video stream with a length of T; inputting the features of the video stream into the detection model; and outputting an action category of the last frame of the video stream through the detection model as a detection result. The online action detection method based on the light-weight Transformer disclosed by the application reduces the calculation amount while improving the accuracy.

The embodiments of the present invention disclose a data tracking method, device, electronic device and storage medium. The data tracking method includes: obtaining a target summation range matching the target tracking data and the tracking data to be screened; performing a preliminary data screening on the tracking data to be screened to obtain a preliminary data screening result; when it is determined that the preliminary data screening result meets the data tracking condition, obtaining a data screening condition matching the number of tracking data to be screened in the preliminary data screening result, and performing a data screening on the preliminary data result again according to the data screening condition and the target summation range to obtain the target tracking data. The technical solution of the embodiments of the present invention can reduce the computational complexity of data tracking, thereby reducing the computing power consumption of the data tracking device and improving the data processing efficiency of the data tracking device.

Embodiments of the present specification disclose an image defogging method and device, electronic equipment and storage medium. The method comprises acquiring an original format image, and performing exposure gain compensation on the original format image to obtain a color reconstruction image. Then, the R channel component of the original image is extracted to obtain a first image corresponding to the R channel component. Further, the color reconstruction image is decomposed based on a wavelet transform algorithm to obtain a contour layer image and a detail layer image. Finally, the first image and the contour layer image are fused to obtain a fused image, and the fused image and the detail layer image are processed by inverse wavelet transform to obtain a defogging image. Through the above image processing steps, the object signal intensity in the finally obtained defogging image is high, so that even in a heavy fog shooting environment, the defogging method can achieve an ideal defogging effect, and the method has low complexity, good real-time performance, low requirements for device hardware and computing power, and meets the requirement of high applicability.

The invention discloses a fast regional self-adaptive ACM method based on meta-learning, and belongs to the technical field of low-orbit satellite communication. Aiming at the technical problems of dependence on a large amount of local data, long debugging period, unstable performance and the like during cross-region deployment of the existing adaptive coding modulation technology, the method comprises the following steps of: constructing a meta-training task set covering various global climate characteristics, and training to obtain a meta-initial model with strong generalization ability; when a ground station is deployed in a new region, an optimized localized ACM strategy can be quickly adapted through several steps of gradient updating by using a very small amount of initial communication data collected by the station. Simulation results show that the method only needs 30 samples and 2-minute fine tuning to achieve the approximate optimal performance, the spectrum efficiency is improved by 35.8% compared with a traditional fixed threshold value method, the sample demand is reduced by 99% and the deployment time is shortened by more than 98% compared with a supervised learning method, the regional self-adaption problem in global rapid deployment of the satellite communication system is effectively solved, and the method has good application prospects. And the operation cost is obviously reduced.

The application discloses a ranging method, comprising: obtaining a mapping relationship between serial numbers of actual data boxes and serial numbers of preset data boxes, wherein each actual data box is mapped to at least one preset data box; obtaining ranging data, assigning storage space to the actual data boxes and storing the ranging data; determining a target data box and a serial number of the target data box according to data distribution of the ranging data in the actual data boxes; determining a target value of a preset data box corresponding to the target data box according to the mapping relationship between the serial numbers of the actual data boxes and the serial numbers of the preset data boxes and according to a preset algorithm; and determining a distance of a measured target according to the target value of the preset data box and a width of the preset data box. The application also provides a ranging system, which can reduce storage space.

This invention discloses a step-by-step synthesis method for nodal instrument shot gather data, relating to the field of seismic exploration technology. The invention includes the following steps: collecting source point shot-receiver relationship files for synthesizing single-shot data to form a general source point shot-receiver relationship file; determining the start and end range of the general source point shot-receiver relationship file's file numbers based on the single-shot data file numbers corresponding to each source point in the general source point shot-receiver relationship file; and identifying the minimum and maximum station numbers among all receiver alignments based on the general source point shot-receiver relationship file to determine the alignment line station number range. This invention employs a step-by-step synthesis method. After the receiver alignment is retrieved, all data collected by that alignment can be segmented and synthesized for output, advancing the shot gather data synthesis time. This allows for earlier understanding of the nodal alignment data situation, and multiple machines from multiple nodal data synthesis working groups can perform the data synthesis simultaneously, solving the problem of existing nodal instrument shot gather data being difficult to synthesize step-by-step, resulting in delayed data presentation.

The application discloses a kind of detection method, device, readable medium and electronic equipment of audio playing equipment, the method comprises: obtaining the audio data to be measured played by the audio playing equipment to be measured;According to the preset segmentation duration, the audio data to be measured is divided, and a plurality of audio segments to be measured are obtained;Extract the audio feature to be measured of audio segment to be measured, and the audio feature to be measured is clustered and predicted, and the prediction result of audio segment to be measured is obtained;According to prediction result, matching is carried out in preset classification library, to determine the predicted category of audio segment to be measured;According to the predicted category of a plurality of audio segments to be measured, the detection result of audio playing equipment to be measured is determined, and detection result includes normal equipment and abnormal equipment.The application embodiment can be applied to cloud technology, artificial intelligence, intelligent transportation, auxiliary driving and various scenes.The technical scheme provided by the application embodiment refines detection data, improves detection precision and accuracy, and has fast calculation speed, effectively improves detection efficiency.

The application relates to a manta ray robot fish roll control method based on Q learning and pectoral fin amplitude bias, compared with a traditional control method, the application does not need to establish a control object model, collects experimental data, trains a Q table offline, then transplants the table into a prototype controller, obtains a control variable through table lookup, and controls the prototype to swim at a fixed depth. Compared with other reinforcement learning control methods, the application has low requirements on hardware resources, small space demand, low power consumption and convenient realization. The application has the beneficial effects that the application has low requirements on the hardware of a controller, and an ordinary single-chip microcomputer can be used for realization, thereby saving cost, space and energy. The application does not need to establish a mathematical model of a control object, can save a large amount of time cost, and is difficult to establish a bionic model. The application can realize roll control of the robot fish without expert experience for establishing a rule base, and the Q table can learn "expert experience" during training.

The invention provides a carrier communication method for a laser energy transmission system with a dispersed structure, which is characterized in that a semiconductor laser is adopted as an electro-optical conversion device, a power controller and a signal modulator are combined at a transmitting end, and a modulation signal is superposed on a laser beam while energy transmission is realized, so that the laser energy transmission system with the dispersed structure is realized. Energy and information superposition is realized; at a receiving end, a photovoltaic array is adopted to convert received laser beam energy into electric energy, modulation information is extracted at the same time, and energy and information separation is achieved; a plurality of independent energy transmission links are arranged, each link independently transmits energy and information, and each link is connected to a photovoltaic array to realize energy conversion and information demodulation. The system is particularly suitable for high-power energy transfer occasions, synchronous transmission of energy and information is achieved, the overall transmission rate and data throughput of the system are greatly improved, the requirement for high-frequency modulation equipment is reduced, the requirement for hardware is low, and good system compatibility and expandability are achieved.

The application discloses an image color style adjustment method and device based on an ISP. A source image is acquired from a first imaging system, and first probability density cumulative distribution data of the source image is determined; second probability density cumulative distribution data of a target image is acquired in advance, or the target image is acquired from a second imaging system, and the second probability density cumulative distribution data of the target image is determined; a gray scale mapping table of each component channel of the source image and the target image is obtained according to the first and second probability density cumulative distribution data; a third gray scale value of each pixel after adjustment is determined according to a first gray scale value of each pixel of each component channel of the source image and a corresponding gray scale mapping table, and an output image after color style adjustment is obtained. The color difference of different devices can be eliminated, an image with consistent color style is obtained, and the method has strong universality.

The invention discloses a detection method and device, detection equipment, a storage medium and a program product. The detection method comprises the following steps: collecting the discharge capacity of a to-be-detected battery in a first discharge test operation, wherein the first discharge test operation comprises discharging the battery from a first discharge voltage to a second discharge voltage; and determining the direct current resistance of the battery to be detected based on the discharge capacity.

The invention provides a respiratory tract tumor cell identification method and device based on an artificial intelligence algorithm. The method comprises the following steps: acquiring a respiratory tract tumor cell fluorescence staining picture, slitting the respiratory tract tumor cell fluorescence staining picture, performing artificial intelligence identification on sub-pictures and splicing the sub-pictures. According to the respiratory tract tumor cell identification method based on the artificial intelligence algorithm provided by the invention, through the respiratory tract tumor cell identification neural network model, rapid identification of the respiratory tract tumor cells on the respiratory tract tumor cell fluorescent staining picture is realized, the identification efficiency of the respiratory tract tumor cells is greatly improved, and the identification accuracy is improved. The diagnosis efficiency of the respiratory tumor cells is improved; meanwhile, the method realizes the marking of the respiratory tumor cells based on the artificial intelligence network model, thereby facilitating the realization of automatic operation, and effectively reducing the manpower diagnosis cost of the respiratory tumor cells.

This application relates to the field of dynamic text effects production technology, specifically providing a method, apparatus, device, and medium for realizing cartoon dynamic text transformation. The method includes the following steps: splitting the text to be processed into multiple independent text layers and activating the three-dimensional spatial attributes of all text layers; adjusting the three-dimensional shape parameters of each text layer to a first preset shape parameter so that each text layer forms a three-dimensional text shape; creating rotation animations for each text layer; for each text layer, adding a back-and-forth movement along the viewing axis to a virtual camera at a preset timeline node, and replacing the source text content of the text layer with the preset transformed text during the duration of a short-time focus effect; and performing time-sequence misalignment processing on the rotation animations of multiple text layers to form a wave-like animation effect. This method solves the problems of lengthy processes, high production costs, and stiff effects in existing production methods.

According to the LOD construction method and device for the GIS large-range live-action model, the nodes are generated through adaptive iterative segmentation in the HLOD tree construction process, the triangular patch data amount of each node is kept within the threshold value range, and the nodes with the too large triangular patch number cannot be generated; meanwhile, the textures of all the nodes are limited to be kept in a similar range, too large textures cannot be generated, and the optimal configuration effect can be achieved in the rendering scheduling process of the result; meanwhile, after the triangular patches in all the nodes are simplified, the texture features in the texture pyramid are merged, and the method can effectively simplify the grids, maintain the features of the grids, reduce the deformation of the textures to the maximum extent, and ensure the visual effect of the grids. In addition, main memory occupation data is stored in a temporary file by using a memory mapping technology, so that the scheme can process large data volume data exceeding computer memory limitation.

The present invention discloses an intelligent washing control method, device and washing machine based on clothing image recognition, the method comprising the steps of: obtaining original photos of clothing in different postures in a washing cabin; preprocessing the obtained original photos to obtain a local sample set; sending the local sample set to a pre-trained neural network for a pre-estimation classification of the local sample set; performing secondary classification on the estimated result using a pre-built decision tree model to obtain a clothing material identification classification result; and determining a corresponding washing program according to the material identification classification result. The present invention starts from the local and takes the global into consideration, that is, it ensures the information provided by a higher resolution, and uses local images for model learning, which accelerates the image processing efficiency and reduces the hardware requirements. It does not require a large video memory to cope with the large matrix caused by high resolution. Through secondary classification, more accurate clothing material identification can be obtained, and a built-in targeted washing program can be applied according to the material.

The invention relates to the technical field of nuclear magnetic image processing, and discloses a cervical vertebra nuclear magnetic resonance image preprocessing method and system, and the method comprises the steps: obtaining a cervical vertebra magnetic resonance image, and carrying out the preprocessing of the cervical vertebra magnetic resonance image; performing primary segmentation on the preprocessed image, and extracting a spinal cord region; processing the spinal cord area, and judging whether an abnormal position exists or not; if no abnormal position exists, carrying out secondary segmentation on the image according to a first strategy; and if there is an abnormal position, carrying out secondary segmentation on the image according to a second strategy. The method comprises the following steps: firstly, identifying a spinal cord region which is easy to process, processing the boundary of the spinal cord region to judge whether an abnormal position exists, performing directional segmentation on the possible abnormal position, and processing to make image details clear; therefore, the personnel can know the detailed situation of the abnormal position at the first time while checking the cervical vertebra nuclear magnetic image, and the personnel can be assisted to quickly judge.

The invention provides an energy storage distribution control method and device for a multi-energy complementary system, and relates to the field of steel energy, and the method comprises the steps: carrying out the self-adaptive variational mode decomposition of an active power data sample of a gateway incoming line of a steel enterprise before energy storage configuration, and determining the energy storage type and maximum energy storage output power required by the steel enterprise; solving an optimal solution of an energy storage optimal configuration objective function according to a preset energy storage rate and the maximum energy storage output power, and determining an energy storage configuration capacity; after energy storage configuration is carried out according to the energy storage type and the energy storage configuration capacity, an active power prediction model is utilized to predict enterprise gateway active power and green power active power in a preset future time period; and performing real-time control on the multi-energy complementary system according to the enterprise gateway active power and the green power active power. The problems that the multi-energy utilization rate of iron and steel enterprises is low, and the proportion of self-generating electricity and green electricity is limited can be solved, and the purposes of reducing the electricity demand of the enterprises, clipping peaks and filling valleys and improving the energy utilization rate are achieved.