2168 results about "Real time display" patented technology

The invention relates to a steel logistics full-process real-time dynamic management method and device, and belongs to the technical field of steel logistics control methods and devices. According to the technical scheme of the invention, data acquisition and monitoring are carried out, and transport vehicle and cargo states are tracked; demand prediction and inventory dynamic adjustment are carried out, and high-frequency cargo response emergency orders are allocated according to shipment frequency; visual management of the supply chain is carried out, shared data of all links of the supply chain is established, a 3D logistics map is constructed, and inventory, transportation states and bottleneck nodes are displayed in real time; and risk control management: quickly starting the alternative scheme when the early warning is triggered. The method has the advantages that efficiency is optimized, limitation of a traditional single transportation mode is reduced, rolling updating and emergency response of demand prediction are achieved, data transparency and credibility are improved, rapid risk response is achieved, and logistics full-life-cycle management is achieved.

The invention belongs to the technical field of data processing, and provides a multi-source data fused building settlement trend prediction method, device and medium, and the method comprises the steps: firstly collecting multi-source monitoring data of a target building, then carrying out the preprocessing and fusion, obtaining fusion feature data, inputting the fusion feature data into an AI prediction model, and obtaining a target building settlement trend prediction result; and finally, combining the real-time settlement amount, the settlement rate and the settlement trend prediction result in the fused feature data, comparing with a preset early warning threshold value, and judging whether an early warning instruction is triggered or not. If the early warning instruction is triggered, a corresponding alarm is given out, and the real-time settlement amount, the settlement rate and the settlement trend prediction result are displayed in real time. Through cooperation of multi-source data fusion and the scene adaptive AI model, accurate prediction and timely early warning of the settlement trend of the building are realized, the core is to break through the limitation of single data and a fixed model, and the precision of settlement prediction and the timeliness of risk response in a complex scene are remarkably improved.

The invention relates to the technical field of display, and particularly discloses a dynamic ambient light adaptive OLED display optimization method and system, and the method comprises the steps: obtaining an ambient light time sequence data set of an environment where an OLED display screen is located, and synchronously obtaining real-time display parameters and historical brightness adjustment data of the display screen; acquiring ambient light sensing features according to the ambient light time sequence data set; obtaining photo-thermal structure coverage area data of the OLED display screen according to the real-time display parameters; and acquiring preliminary optimization parameters according to the ambient light sensing characteristics and the photo-thermal structure coverage area data. According to the invention, illumination intensity, spectrum drift and contrast change are captured in real time in combination with ambient light perception characteristics, the one-sidedness of adjustment only according to brightness traditionally is solved, reflection can be reduced through photothermal structure deformation under strong light, brightness can be improved to offset interference, and human visual characteristics can be matched under weak light. And the display definition and the visual comfort in different environments are effectively improved.

The invention discloses an intelligent pressure maintaining control method for a thin-wall product of an injection molding machine based on mold pressing feedback. The intelligent pressure maintaining control method comprises the following steps: (1) constructing a hardware layer; (2) configuring a software layer; (3) a mold cavity pressure acquisition module acquires original pressure data in the injection mold cavity in real time through a pressure sensor; (4) the data preprocessing module carries out filtering processing on pressure signals generated by the pressure data, and (5) the dynamic pressure maintaining control module dynamically adjusts pressure parameters and pressure maintaining time by receiving the real-time pressure data, product wall thickness parameters, mold structure parameters and injection molding process parameters, generates a pressure maintaining control instruction and sends the pressure maintaining control instruction to an injection molding machine control system; driving the injection molding machine to execute pressure maintaining action; (6) the dynamic pressure maintaining control module associates and stores the pressure change curve and the parameter adjustment record in the pressure maintaining process in a feedback learning module, and optimization calculation is carried out; and (7) the man-machine interaction interface displays the pressure change curve, the pressure maintaining control parameters and the forming state of the injection mold cavity in real time.

This application discloses a renal puncture guidance method, system and computer device based on multi-modal fusion, the method comprises: acquiring a medical image sequence of an object to be examined, and performing three-dimensional reconstruction based on the medical image sequence to obtain a three-dimensional reconstruction model; obtaining a slice corresponding to an ultrasonic probe currently in the three-dimensional reconstruction model; displaying a fusion image obtained from a real-time ultrasound image acquired by the ultrasonic probe and the slice in a first region of a puncture guidance interface; acquiring a needle insertion angle of a puncture needle, and displaying a puncture guide line in the fusion image in real time; and displaying the ultrasonic probe model, the puncture needle model and the three-dimensional reconstruction model in real time in a second region of the puncture guidance interface.

The present invention comprises a novel social media video debating web and mobile application. The platform will provide a space for users to debate uninterrupted by both the audience and the opponent whereby each participant is given a set time to express their thoughts on a subject matter. The online debate platform provides a controlled setting for the participants to have their debates viewed, voted on and subsequently ranked by the other users of the platform. The online debate platform is also monitored by a unique AI system that updates debate “winners,” flags offensive content, and moderates each debate on the platform in real time. The disclosed platform and following figures will provide a space for individuals to debate subjects in a uniformed structure and have real-time results from active user viewership. The online debate platform aims to provide an established place for constructive debating.

The invention discloses an aircraft wake flow real-time monitoring method based on laser radars, and the method comprises the steps: collecting the real-time wake flow data in a five-side approaching stage of a front aircraft through a plurality of laser radar devices, and determining the space coordinates and three-dimensional contour of the edge of a wake flow region through an edge detection algorithm; according to the coordinates of the left and right edges and the upper and lower edges of the wake flow area, the front and tail flow areas are displayed in real time; the method comprises the following steps: intercepting a two-dimensional cross section of a front aircraft tail flow area at a rear aircraft real-time flight height, calculating a rolling instability index generated by the two-dimensional cross section area to a rear aircraft wing, determining a wake flow minimum safety interval according to a preset rolling instability index threshold value, and displaying the wake flow minimum safety interval on an air traffic control system radar interface in real time, thereby realizing the purpose that in a five-side approach stage of an aircraft, the flight speed of the aircraft is increased. The front aircraft wake flow area and the rear aircraft wake flow area are displayed in real time, and the minimum safety interval of the front aircraft and the rear aircraft considering the real-time flight height is considered, so that an air traffic controller can clearly know the real-time state and the potential risk of the aircraft wake flow, and the wake flow monitoring accuracy and the flight safety are improved.

The invention discloses a mechanical arm regulation and control multi-sensor array underground structure detection system and detection method based on reinforcement learning, a vibration source module provides a sweep frequency vibration signal, a multi-sensor array collects a reflected signal, a data processing module receives and processes the reflected signal, and the data processing module receives and processes the reflected signal; the imaging module generates a three-dimensional underground structure image through a wave velocity inversion and reverse time migration imaging technology, the intelligent optimization and adaptive adjustment module adaptively adjusts vibration source signal parameters and sensor array layout through a reinforcement learning algorithm, and the display terminal displays detection data and imaging results in real time and provides parameter optimization suggestions. According to the invention, real-time and automatic adjustment of vibration source signals and sensor layout is realized through an intelligent optimization and adaptive adjustment module constructed through a reinforcement learning algorithm, and a high-resolution underground structure three-dimensional image is generated accordingly. And an efficient and accurate underground structure identification and positioning scheme can be provided.

Methods, apparatus, systems, and articles of manufacture are disclosed to display acquisition paths. An example apparatus includes a display handler to, in response to a directional condition of an autonomous vehicle satisfying a threshold, render an acquisition path for the autonomous vehicle, the acquisition path specifying a route along which the autonomous vehicle is to travel to acquire a guidance path; and a vehicle condition controller to, in response to determining that a real time display criterion is satisfied, redetermine whether the directional condition of the autonomous vehicle satisfies the threshold to cause the display handler to re-render the acquisition path.

The invention discloses a method for processing three-dimensional scanning data. The method comprises the following steps: acquiring the three-dimensional scanning data of a target object; performing fusion processing on the three-dimensional scanning data under the first resolution to obtain first point cloud data; in response to a second resolution, performing fusion processing on the three-dimensional scanning data to obtain second point cloud data, the value of the first resolution being greater than the value of the second resolution; and performing duplicate removal and fusion on the first point cloud data and the second point cloud data to obtain multi-resolution point cloud data of the target object, and finally displaying the multi-resolution point cloud data. According to the invention, the range of the point cloud displayed in real time in the scanning process is consistent with the range of the finally displayed point cloud.

The invention provides a power equipment three-dimensional dynamic updating method and system for virtual reality training, and the method comprises the steps: collecting the working state data of power equipment in real time through a sensor; processing the working state data based on a preset function model, and calculating the physical state change of the power equipment; according to the physical state change, adjusting physical attributes of the three-dimensional model of the power equipment in real time so as to simulate physical effects of thermal expansion, stress concentration or structural deformation; loading the adjusted three-dimensional model into a virtual reality environment, and performing real-time display through a virtual reality rendering platform; and after the user executes the interactive operation through the virtual reality equipment, the working state of the power equipment is updated, and the influence of the operation on the three-dimensional model of the equipment is dynamically fed back, so that a virtual-real linkage closed-loop training process is formed. The virtual model can change in real time along with the collected data, and the technical verisimilitude and operability of virtual training are remarkably improved.

The invention relates to the technical field of catenary fault detection, and discloses a catenary fault detection method and system based on image recognition. According to the method, multi-spectral image acquisition equipment is deployed along a contact network, and a multi-angle image sequence of contact network components is acquired in real time; performing space-time alignment processing on the image sequence to generate a standardized image data set; constructing a catenary part segmentation model based on the data set, and identifying key parts by means of a deep semantic segmentation technology; extracting a geometric feature map and a deformation feature map, and establishing a component state feature library; analyzing a topological relation among the component characteristics through a space correlation module, and generating a fault correlation graph; updating the atlas by adopting a dynamic feature correction algorithm, and outputting a fault probability distribution matrix; comparing the matrix with a preset fault threshold set, and generating a fault positioning instruction; and after multiple rounds of correction by the iterative optimization module, a final fault detection report is output and is displayed on the human-computer interaction platform in real time, and parameter configuration is supported.

The invention discloses an unmanned aerial vehicle tilt video and vector map real-time projection sleeving method, which comprises an unmanned aerial vehicle body, and is characterized in that a video data acquisition module and a video preprocessing module for preprocessing the tilt video acquired by the video data acquisition module are arranged in the unmanned aerial vehicle body; a map data processing module is further arranged in the unmanned aerial vehicle body, an improved ORB algorithm is adopted in the feature extraction and matching module, and a posture correction and projection transformation module used in cooperation with the video data acquisition module is installed in the unmanned aerial vehicle body. And a real-time display module in the unmanned aerial vehicle body displays the sleeved video and vector map on terminal equipment in real time through a signal module arranged in the unmanned aerial vehicle body. The problems that the real-time performance is poor, the nesting precision is reduced, and long-time high-precision nesting cannot be achieved during working in an existing unmanned aerial vehicle tilt video and vector map fusion technology at present are solved.

A camera system has at least a first and a second camera each with an image sensor. Active areas of the image sensors of the first and second camera are determined and define an extended image space of a real-time panoramic video. A bounding box captures a fixed position in space or an object is set. The bounding box moves through extended image space. Image data determined only by the bounding box is harvested from camera image sensors and displayed within a window on a screen in real-time. Scan-line control of images sensors based on the bounding box is updated in real-time to form an e-gimbal. Steps of the e-gimbal are performed by a machine learning inference phase on a processor.

A system, apparatus and method for a handheld x-ray system including a stand alone detector panel. The system includes a handheld instrument with a high energy x-ray source (120 keV or greater). The detector panel includes a wireless communication system employed to transmit x-ray images that are captured by the panel to the handheld instrument where they are displayed in substantially real time. The handheld instrument also includes a camera and a set of line lasers that are employed together to align the x-ray beam emitted from the instrument with the object being scanned.

The invention provides a pulmonary nodule display method and device, electronic equipment and a storage medium, and the method comprises the steps: segmenting a three-dimensional reconstruction image of the chest of a target patient to obtain a preoperative segmentation image, the three-dimensional reconstruction image being obtained based on preoperative CT data, and the preoperative segmentation image comprising the position information of a pulmonary nodule; segmenting the video image of the intraoperative lung tissue of the target patient collected by the thoracoscope in real time to obtain an intraoperative segmented image; feature matching is conducted on the preoperative segmented image and the intra-operative segmented image, the lens pose of the thoracoscope is determined, the preoperative segmented image is mapped into a two-dimensional reference image based on the lens pose, and the two-dimensional reference image comprises the position information of the pulmonary nodule; and carrying out image registration on the two-dimensional reference image and the intra-operative segmented image, and carrying out pulmonary nodule marking on the intra-operative segmented image to obtain a video image for displaying pulmonary nodules in real time. The position of the pulmonary nodule in the operation is accurately displayed in real time in a non-invasive mode, and the operation efficiency is improved.

A method for analyzing a ball game motion includes: in response to entering a serving stage, obtaining a motion trajectory of a ball by fitting based on a ball game video acquired; determining a hitting coordinate of a motion subject, a hitting posture of the motion subject, and a landing coordinate of the ball based on the motion trajectory and the ball game video; and obtaining a motion analysis result based on the hitting coordinate, the hitting posture, and the landing coordinate, to display the motion analysis result in real time through a display device.

The invention discloses a petroleum drilling machine equipment intelligent alarm method based on video real-time display, and belongs to the technical field of petroleum exploitation equipment monitoring, and the method comprises the steps: obtaining the operation video of a key part of petroleum drilling machine equipment, and transmitting the operation video of the key part to a monitoring center; in the monitoring center, preprocessing the operation video of the key part to eliminate the influence of illumination disturbance, and carrying out key part identification and behavior analysis on the preprocessed operation video of the key part by using an equipment part detection and behavior analysis algorithm based on deep learning to obtain a detection result of the key part; and based on the detection result of the key part, the display alarm and the sound-light alarm of the abnormal type and the occurrence position are triggered in real time, and the alarm information is sent to the handheld terminal of the driller. According to the method, intelligent fault detection and alarm are realized, manual intervention is reduced, the comprehensiveness of equipment monitoring is improved, and the accuracy and timeliness of alarm are improved.

The invention discloses a food safety pretreatment and detection device and method, and relates to the technical field of food detection.The device comprises a box body, a control module, a pretreatment module and an ATP biological fluorescence detector, the control module is integrated on the box body, and the pretreatment module is integrated on the box body; the control module comprises a microcomputer control system, a visual operation panel, a nixie tube display and a key regulator; the pretreatment module comprises a concentrator for purging and concentrating a sample, a centrifugal machine for separating the sample, a uniform mixing instrument for uniformly mixing the sample and a water bath kettle for performing constant-temperature incubation on the sample; the ATP biological fluorescence detector is integrated in the box body and is used for carrying out microbial pollution detection on the food contact surface; the control module is suitable for adjusting and controlling operation parameters through the key adjuster when any unit in the concentrator, the centrifugal machine, the blending instrument or the water bath kettle operates, and the operation parameters are displayed on the visual operation panel in real time. The invention further provides a detection method, and on-site, rapid and intelligent food safety detection is achieved.

The invention discloses an optical compensation method for a display panel, which comprises the following steps of: shooting a gray scale test chart of the display panel at different exposure time, acquiring corresponding gray scale data, and establishing a quadratic polynomial fitting model of the exposure time and a gray scale value; and then, in combination with a Gamma correction principle, the Gamma value of the display panel is reversely deduced based on the fitting model, so that accurate mapping between the gray scale and the actual brightness is realized, the nonlinear influence of the display system is eliminated, the accuracy and reliability of a compensation algorithm are ensured, and the overall brightness reduction effect is further improved. And finally, combining the correction result, dividing the display panel into a plurality of grid areas, counting an average gray value of each grid, calculating a local compensation amount, generating a compensation lookup table (LUT), and applying the compensation lookup table to a real-time display compensation process. The display uniformity, the brightness consistency and the terminal visual effect of the panel can be improved, and good adaptability and practicability are achieved.

The invention belongs to the technical field of aerospace, and discloses an aviation electrical system insulation detection device which comprises a shell and an overall frame serving as the insulation detection device. The display screen is used for displaying measurement data in real time; the function key group integrates the functions of measurement mode switching, data retention and insulation test starting; according to the conversion assembly, through the linkage design of the rotating disc and the rotating switch, the problem that functions cannot be switched when the two hands of a traditional insulation detection device are occupied is thoroughly solved, a worker only needs to rotate the rotating disc with the hand of supporting equipment, the rotating switch can be driven through the driving mechanism, switching of insulation test voltage gears is completed with one hand, and the working efficiency is improved. Compared with a traditional device which needs to frequently put down a connecting line and manually rotate a switch, the design simplifies the operation steps from three steps to one step, shortens the single function switching time, and remarkably improves the efficiency and safety of high-altitude operation or narrow space detection.

A system (100) for adaptive real-time planning in construction projects using location and production feedback, wherein the system comprises: a data acquisition module configured to capture real-time data from construction site sensors, IoT-enabled devices, construction machinery, workforce systems, and material supply updates; a central processing engine configured to analyze deviations between planned schedules and actual site performance using adaptive planning algorithms; an intelligent feedback loop that integrates qualitative input from site managers, engineers and project managers to refine planning decisions; a visualization and dashboard module configured to display updated schedules, resource allocations, predictive alerts, and progress indicators in real time; and an integration and communication module configured to synchronize adaptive schedules with existing construction project management platforms, The system continuously updates and optimizes the schedules of construction projects to improve efficiency, resource utilization, and on-time completion.

The invention relates to the technical field of medical instruments, and discloses a tracheotomy anatomical structure image recognition method and system, and the method comprises the steps: obtaining real-time visual image data and spatial positioning data of an endoscope, carrying out the time synchronization, carrying out the mode recognition of the spatial positioning data, and locking the remarkable anatomical features in the real-time visual image data, and according to the characteristics and the spatial positioning data, calculating a geometric transformation relationship between an endoscope visual coordinate system and a spatial positioning coordinate system, and finally fusing the data and displaying anatomical structure information and a surgical tool position in real time. The method can effectively solve the problem that in the prior art, an endoscope is irregularly deformed in the narrow trachea with physiological bending of a patient.

The embodiment of the invention provides an electronic pet cultivation method, system and device based on song sentiment analysis and a medium. The method comprises the following steps: determining basic character characteristics of an electronic pet based on first song listening data of a user; in response to the fact that the user starts to play the song, determining the change condition of reference emotion characteristics of the user by querying a user emotion database based on the change condition of the emotion characteristics of the song every first period; determining a real-time display mode and a real-time behavior mode of the electronic pet based on the change condition of the reference emotion feature and the basic character feature; based on the real-time display mode, controlling a display screen of the electronic pet to display a preset pattern in a preset color, and flickering at a preset flickering frequency; and based on the real-time behavior mode, controlling the electronic pet to interact with the user at a preset interaction frequency for preset interaction times.

The invention provides a cloth defect image generation method and device, equipment and a storage medium, and the method comprises the steps: responding to a defect-free original image, a mask label and a defect category name inputted by a user on a preset interaction interface; generating a target cloth defect image for the defect-free original image, the mask label and the defect category name through a pre-trained cloth defect image generation model; and displaying the target cloth defect image on a preset interactive interface. According to the embodiment of the invention, through the preset interaction interface and the pre-trained cloth defect image generation model, the target cloth defect image can be quickly and accurately generated according to the defect-free original image, the mask label and the defect category name input by the user, and the target cloth defect image is displayed on the interface in real time; the efficiency and precision of cloth defect detection and simulation are greatly improved, and powerful support is provided for textile quality control.

The invention provides a vehicle-mounted instrument driving record panoramic image fusion three-dimensional projection method and system, and relates to the technical field of vehicle-mounted display, and the method comprises the steps: obtaining original panoramic image data collected by cameras around a vehicle and real-time driving state information of the vehicle; distortion correction and multi-view splicing processing are carried out on the original image to generate a spliced panoramic image; determining the type of a driving scene according to the real-time driving state information, setting corresponding three-dimensional viewpoint parameters including viewpoint height, viewpoint distance and pitch angle, performing three-dimensional space coordinate transformation on the spliced panoramic image based on the parameters, and generating a three-dimensional aerial view image adaptive to the current driving scene; an obstacle target is extracted, the boundary of an image area of the obstacle target is recognized, height stretching rendering is carried out at the corresponding position of the three-dimensional aerial view image, and a three-dimensional panoramic projection image containing an obstacle three-dimensional identifier is generated; and finally adaptively outputting to a vehicle-mounted instrument panel display screen for real-time display. The visual angle can be dynamically adjusted according to different driving scenes, the stereoscopic perception of the obstacle is enhanced, and the driving safety is improved.

The utility model provides a wire controller based on gesture recognition control, which is provided with an MCU (Microprogrammed Control Unit) controller, a gesture recognition sensor and an LCD (Liquid Crystal Display) driver, the MCU controller is in circuit connection with the gesture recognition sensor, the MCU controller is in circuit connection with the LCD driver, the gesture recognition sensor has a sleep awakening function, and the LCD driver is in circuit connection with the gesture recognition sensor. The gesture recognition sensor is used for recognizing gesture actions in a recognizable area in an infrared thermal imaging mode and sending a gesture instruction generated based on the recognized gesture actions to the MCU, and the MCU is used for receiving the gesture instruction and sending a corresponding application instruction to an external electric appliance according to the gesture instruction. The MCU controller is further used for receiving feedback information of an external electric appliance and sending the feedback information to the LCD display driver, the LCD display driver is used for receiving and displaying the feedback information, gesture actions can be recognized in an infrared thermal imaging mode, the LCD display driver displays feedback in real time, and the real-time performance of the wire controller in non-contact control is improved.

A non-contact, non-invasive health monitoring device and method utilizing advanced artificial intelligence (AI) and machine learning techniques. This system captures real-time image data of a user's face using a high-resolution camera and processes the data to extract physiological signals, including Photoplethysmography (PPG, iPPG, and rPPG) and Ballistocardiography (BCG and iBCG). By leveraging facial landmark detection and deep learning models such as Convolutional Neural Networks (CNNs) and Transformers, the device predicts vital signs such as heart rate, respiratory rate, blood pressure, and oxygen saturation, alongside wellness metrics like stress levels and metabolic health. The device employs robust feature construction and signal processing modules to ensure accurate metrics under varying conditions, with error margins below 5%. Outputs are displayed in real time and integrated with external systems using standardized healthcare protocols. Applications include telehealth, fitness monitoring, public health screening, and automotive safety systems.

The invention provides a breast endoscopic surgery simulation training system. The breast endoscopic surgery simulation training system comprises a hardware end and a software end, the hardware end comprises a simulation human body model, and the software end is provided with a 3D mesh model corresponding to the simulation human body model; the simulation surgical instrument comprises a simulation electrotome, a simulation endoscope, simulation grasping forceps and a simulation incision protection sleeve, and the software end is provided with an electrotome model, an endoscope model, a grasping forceps model and an incision protection sleeve model which correspond to one another; the pose detection device is used for detecting the current pose of the simulation surgical instrument in real time and sending the current pose to the software end, so that interaction between the simulation surgical instrument and the simulation human body model is mapped to interaction between the instrument model and the 3D mesh model; the software end further comprises a display screen, and the display screen is used for displaying interaction between the instrument model and the 3D mesh model in real time. According to the scheme, breast endoscopic surgery training, teaching and research which are closer to a real surgery scene can be provided, so that the safety and the operation precision in an actual breast endoscopic surgery are improved.

A portable golf putting green putter multi-parameter intelligent training system is characterized by comprising a support (1) used for installing an electromagnetic induction type sensing device (2) and an electric control element and enabling the whole training system to be convenient to carry and move; the sensing devices (2) are installed on the two supporting legs of the support, and at least two sensing devices (2) are installed on each supporting leg; and the electric control element (3) is used for receiving the signal intensity and the time difference obtained by the sensing device (2), transmitting the signal intensity and the time difference to a computer system (4) in real time in a wired or wireless manner, calculating and analyzing the signal intensity and the time difference, displaying the speed and the angle of the push rod in real time, and comparing the speed and the angle with preset standard values, so that a coach or a practicer can improve the speed and the angle. The utility model has the advantages of simple structure, convenience in carrying, low cost and wide application range.