20results about How to "Convenient registration" patented technology

The invention discloses an image processing method and device for a remote driving vehicle, and the method comprises the following steps: correcting a to-be-spliced image, and restoring the real scene information; projecting the corrected image to a cylindrical surface with the same focal length; feature point matching is carried out by using an SIFT algorithm, a coordinate conversion relation between the two images is calculated according to a matching result, and the two images are projected into the same coordinate system based on the coordinate conversion relation; brightness error correction is carried out on the image, an energy function used for searching for a suture line is optimized, the optimal suture line is obtained in combination with a dynamic programming algorithm, and the processing delay of the dynamic programming algorithm is optimized; carrying out image splicing; and according to the brightness difference of the image on the suture line, adjusting the splicing result image, and eliminating the suture line. According to the technical scheme disclosed by the invention, splicing seams can be effectively eliminated, the color consistency is ensured, image ghosting is thoroughly eradicated, the processing speed and the image quality of multi-view visual splicing are improved, and reliable visual support is provided for remote driving.

The invention relates to the technical field of robot sorting, and provides an intelligent manufacturing robot automatic sorting platform which comprises a sorting mechanism and a conveying mechanism. The sorting mechanism comprises a protection frame and a sorting assembly erected on the protection frame, a clamping jaw and a driving structure used for controlling the clamping jaw to move are arranged on the sorting assembly, an adjusting assembly is fixed to the outer side wall of the protection frame, and a visual detection device used for capturing the position of the profile is arranged on the adjusting assembly; the conveying mechanism comprises a recording device and a feeding conveying belt erected on the protection frame, the feeding conveying belt is connected with a sorting conveying belt, and the recording device is arranged at the discharging end of the sorting conveying belt and used for recording the number of the sectional materials. The problem that in the prior art, sorting work is low in production efficiency is solved, and the sorting device has the advantages of being capable of replacing part of manual labor and high in production efficiency.

The present invention relates to the field of robot sorting technology, and provides an intelligent manufacturing robot automatic sorting platform, including a sorting mechanism and a transportation mechanism; the sorting mechanism includes a protection frame and a sorting component mounted on the protection frame, the sorting component is provided with a clamp and a driving structure for controlling the movement of the clamp, an adjustment component is fixed on the outer wall of the protection frame, and a visual detection device for capturing the position of a profile is provided on the adjustment component; the transportation mechanism includes a recording device and a feeding conveyor belt mounted on the protection frame, the feeding conveyor belt is connected to a sorting conveyor belt, and the recording device is arranged at the discharge end of the sorting conveyor belt and is used to record the number of profiles. The present invention solves the problem of low production efficiency of sorting work in the prior art, and has the advantages of being able to replace part of the manual labor force and having high production efficiency.

The utility model relates to the technical field of automation equipment, in particular to a cooling module pipe orifice image detection device, which comprises a rack, a bottom plate fixedly connected onto the rack, a starting switch and an operation screen connected onto the rack, a display screen embedded into the rack, the operation screen is electrically connected with the display screen, a core shooting camera is fixedly mounted on the rack, and the core shooting camera is electrically connected with the display screen. The core camera is electrically connected with the display screen, and a fixing structure used for fixing the cooling module is arranged on the bottom plate. According to the utility model, the pipe orifice of the cooling module is detected through the detection structural member, the cooling module is photographed by the core body photographing camera and data is uploaded, the data of the cooling module and the core body photographing camera are analyzed and finally displayed on the display screen, the code scanning gun scans and marks the cooling module and uploads the data, so that information registration is facilitated, and the production efficiency is improved. In the process, the automation degree is high, and data or information deviation caused by manual detection operation on the pipe orifice of the cooling module is avoided.

A system for dental implant restoration is provided. It includes universal aligning adaptors and prosthetic components having co-operable indices, which together form a translational, integrating system which aligns, synchronizes, and references the prosthetic components about an implant's central axis of rotation. Rotation of an adaptor about a prosthetic component, with its reference point becoming aligned to a predetermined reference point on the prosthetic component, followed by the rotation of the adaptor / prosthetic component assembly about the implant, situates the prosthetic component in a predetermined position such that all other prosthetic components become synchronized to the adaptor's reference point. The prosthetic component is mechanical for clinical or lab bench use, or is virtual for restoration design in a software program, prior to milling prosthetic abutments or devices. Abutments, healing caps and screw access holes are realigned to preferred positions and synchronized with minimal deviation from the ideal direction.

The invention discloses a multimodal signal detection device for brain hyperpolarized xenon magnetic resonance imaging, comprising a transmitter coil, a receiving coil, and a control box. A fixed airbag is arranged on the transmitter coil, and the transmitter coil can be quickly installed and removed in a gradient coil by inflating and deflating the fixed airbag, and can be stably placed by an airbag fixing tray and a coil fixing tray, thereby saving time and labor. The receiving coil can be installed on the transmitter coil by a receiving coil positioning slide groove and a slider, and the position of the receiving coil can be changed by sliding. The acquisition of physiological signals and the transmission and reception switching functions are integrated in a single-chip FPGA chip in the control box, so that the transmitter coil transmits radio frequency signals and the receiving coil receives magnetic resonance signals in a time-sharing switching manner, thereby preventing mutual interference, and can also detect the physiological state of animals in real time, provide multi-dimensional information, and improve integration and scalability.

The present invention discloses a multi-laser radar autonomous network construction system, method and terminal based on adaptive registration, and relates to the technical field of network construction and network information processing. Multiple laser radars are used to register and fuse the point cloud images of different radars using a point cloud registration algorithm. The point cloud registration uses 4PCS for coarse registration and Trimmed ICP for fine registration, so that the laser radars in the same indoor environment automatically form a radar network and obtain the fused indoor environment point cloud. The data is saved locally and in the cloud at the same time, and the user changes the corresponding registration parameters or obtains the original point cloud data through the cloud. The present invention is a multi-laser radar autonomous network construction system based on adaptive registration designed for home-based elderly care projects. The user can remotely view the laser radar network status and indoor environment point cloud images in the elderly's residence. Through the radar network and environmental point cloud data, the user can use it in the further design and use of home-based elderly care projects.

The present invention relates to a port point cloud mapping and matching positioning method and system of a joint dispatching platform, the method comprising: Q1. In a port multi-bridge operation scenario, multiple unmanned container trucks execute the operation tasks issued by the joint dispatching platform, obtain the historical operation route data information of the vehicle, obtain the point cloud data information of the target area in real time based on the vehicle-mounted laser radar, and obtain the vehicle's posture data information in real time based on the vehicle-mounted IMU; Q2. Based on the point cloud data information of the target area and the posture data information of the vehicle, an improved feature selection algorithm based on penalty items is used to construct a point cloud map of the target area to obtain the point cloud map data information of the target area. The present invention can not only improve the accuracy of the laser positioning result, but also the vehicle-side mapping range is accurate, the point cloud map is concise, the vehicle-side computing platform and storage requirements are low, and it is more suitable for low-cost engineering promotion.

The present invention discloses a method for geometric correction of aerial images based on attitude information of unmanned aerial vehicles. The present invention utilizes the internal orientation elements of the aerial images, and directly uses the POS parameters of the aerial images as the external orientation elements of the images, and realizes geometric correction of the pre-processed unmanned aerial vehicle remote sensing images through three-dimensional reconstruction space coordinate transformation and indirect image correction. The present invention makes full use of the pixel information of the original image, and uses multiple attitude parameters to participate in the correction at the same time, avoiding the correction error caused by the incoherent participation of multiple parameters in the correction of the traditional method, and performs geometric correction on the unmanned aerial image when it is impossible to select the artificial control point pair, so that the image is more in line with the standard, and obtains a corrected image with regularly arranged image points, which is convenient for subsequent aerial image registration and splicing and other processing.

A method for performing registration in a low-power device (LPD) to a wireless network, the method comprising: broadcasting (705) a first uplink UL message indicating a registration request, the message including the ID of the LPD in the wireless network; receiving (710) an acknowledgment from at least one communication node, the acknowledgment including the node ID of the communication node that received the first UL message; and determining (715) an initial network topology based on the acknowledgment.

The invention relates to an image registration method and device and computer equipment. The method comprises the following steps: acquiring a multi-modal medical image group; the multi-modal medical image group comprises a reference medical image and at least one mobile medical image; inputting the multi-modal medical image group into a deformation field prediction model, and predicting a prediction deformation field between each mobile medical image and the reference medical image through the deformation field prediction model; the deformation field prediction model uses a label of a sample reference medical image as weak supervision information, and performs constraint training based on an evaluation result of a prediction sample deformation field output in a training process; and completing registration of the corresponding mobile medical image and the reference medical image based on each prediction deformation field. By adopting the method, the accuracy of the registration result can be improved.

The invention provides a country data-driven point management system and device and a readable storage medium, and the system comprises a data resource library module which is used for classifying and storing country data into a country data resource library through a big data platform, and carrying out the continuous updating of the data; the user registration module is used for registering a user and distributing an integral account and an operation authority to the user; the integral system formulating module is used for formulating an integral system and performing classified maintenance and display on the integral system; the integral acquisition module is used for performing task auditing through a declaration auditing mode or an automatic affirmation mode and adjusting an integral value; the point consumption module is used for carrying out commodity selection by obtaining commodity two-dimensional code information based on the online shopping platform and carrying out commodity purchasing operation by using the points of the user; and the point replacement module is used for acquiring the point replacement application, generating and issuing an application record, and performing point value adjustment on the related user after the corresponding audit record is acquired.

The invention relates to the technical field of intelligent bus charging systems based on face recognition, in particular to an intelligent bus charging system based on face recognition and a control method thereof.The intelligent bus charging system based on face recognition comprises a face recognition module, an image information processing module, a background deduction module and a payment confirmation module; the background deduction module comprises a personal information management module and a cost management module; the face recognition module is used for realizing face recognition, extracting face digital information and storing the face digital information into a database; according to the invention, aiming at the unique features of the face of the elderly, the multi-scale information input module collects the feature information of the face of the elderly, designs a polynomial loss adjustment strategy to adjust the weight, guides the elderly to extract or pay attention to the key features of the face, adds a feature enhancement attention module to enhance the key features, and adapts to the loss strategy. And challenges caused by the complexity of the facial features of the old people are solved in a targeted manner.

According to the smart community data security storage method and system, the abnormal database is arranged, so that abnormal data in monitoring data can be copied and stored, the abnormal database is equivalent to a special library focusing on abnormal conditions, and when related problems occur in a community, the abnormal data in the monitoring data can be conveniently stored. The abnormal data can be quickly positioned and called for targeted investigation and processing, the efficiency of dealing with abnormal events is effectively improved, the storage time of the abnormal database is longer than that of a normal database, and long-time storage is beneficial to quick calling of the abnormal data for screening and investigation when an accident occurs in a community, so that the safety of the community is improved. Compared with searching from a huge normal database, the method is more convenient and efficient.

The application relates to a multi-expression face homotopy mesh data acquisition method and device and electronic equipment, which comprises the following steps: obtaining dense semantic information of a face from an original face database, calculating first dense optical flow between different expression viewgraphs under different view angles, deforming the vertices of each expression mesh based on the first dense optical flow and a multi-view positioning method, obtaining a preliminary semantic-consistent enhanced expression mesh, then calculating second dense optical flow between UV graphs of each expression mesh, and correcting the coordinates of the vertices of each expression mesh based on the second dense optical flow, thereby obtaining strong semantic-consistent multi-expression face homotopy mesh data. Thus, semantic information is acquired from original face acquisition data, semantic relationships between expressions are constructed by using optical flow, and the semantic consistency of separately registered multi-expression mesh data is enhanced, so that the problems of multi-expression face mesh data of the same individual obtained by a separate registration method and semantic inconsistency between expressions are solved.

The invention discloses a multi-mode signal detection device for brain hyperpolarization xenon magnetic resonance imaging, which comprises an emitter coil, a receiving coil and a control box, and is characterized in that a fixed air bag is arranged on the emitter coil; the emitter coil can be quickly mounted and dismounted in the gradient coil by inflating and deflating the fixed air bag, and the gradient coil is stably placed through the air bag fixing tray and the coil fixing tray, so that time and labor are saved; the receiving coil can be installed on the emitter coil through the receiving coil positioning sliding groove and the sliding block, and the position of the receiving coil is changed through sliding. According to the invention, acquisition of physiological signals and switching functions of transmitting and receiving are integrated in a single FPGA chip in a control box, time-sharing switching work of transmitting radio frequency signals by a transmitter coil and receiving magnetic resonance signals by a receiving coil is realized, mutual interference is prevented, animal physiological states can be detected in real time, multi-dimensional information can be provided, and real-time monitoring of animal physiological states can be realized. And the integration level and the expandability are improved.

The invention relates to the technical field of medical services, and provides a perioperative period rapid rehabilitation service management system. According to the system, a user interface module, a service request module, a nursing progress query module, a follow-up visit record database, a worker operation platform, a report consulting tool, a nursing tracker, a content issuing platform, a management control platform and other modules are integrated, and a closed-loop perioperative period rapid rehabilitation service system is constructed. The content publishing platform supports editing and publishing of rehabilitation guidance content, and the rehabilitation knowledge acquisition approach of the patient is expanded. The management control platform provides system configuration flexibility, optimizes article classification and nursing content management, and assists a manager in understanding system operation conditions by generating a statistical data report. In conclusion, the system obviously improves the doctor-patient communication efficiency and the rehabilitation quality and service level of the patient in the perioperative period.

The invention discloses an image registration method based on sober edge detection. The method comprises the following steps: acquiring a polarization reference image A and a polarization to-be-registered image B; performing feature extraction on the polarized reference image A and the polarized to-be-registered image B by using a sober edge detection algorithm; performing maximum similarity point location matching on the extracted features of the polarization reference image A and the extracted features of the polarization image B to be registered by using an improved normalized cross-correlation matching method; a random sampling consistency method is used for eliminating wrong matching pairs of the point locations with the maximum similarity, a translation matrix is constructed through the corresponding relation of the point locations with the maximum similarity, and construction of a translation parameter model M is completed; and performing translation transformation and image superposition on the polarized image B to be registered according to the translation parameter model M to obtain a registration result. Compared with a traditional registration method based on gray scale and characteristics, the method provided by the invention is simpler and more convenient to implement, higher in applicability and higher in registration precision.

The present invention relates to the field of human-computer interaction technology, and more specifically, to a human-computer interaction method based on gesture recognition and an interaction system thereof, which comprises the following steps: using an RGB camera and a depth sensor to capture two-dimensional image data and depth data of a gesture, and constructing point cloud data based on the two-dimensional image data and the depth data of the gesture; using a key point detection algorithm based on a hand node model to identify and track the key nodes of the hand and each finger on the point cloud data; extracting the dynamic gesture features of the gesture based on the coordinates of the finger nodes and the time series changes; using a convolutional neural network to classify the dynamic gesture features; defining the mapping rules between gestures and machine control commands, and the machine control commands are passed to the corresponding application to trigger the corresponding functions. By introducing spatial smoothness constraints and temporal continuity constraints, the registration process of multi-frame point cloud data is optimized to reduce the phenomenon of jumps or breaks.

The invention discloses a non-blocking and extensible process management system, which relates to the technical field of information and comprises a process management layer, a process scheduling layer and a plug-in layer based on a three-layer architecture. Compared with the prior art, the method has the advantages of non-blocking design, high expandability, perfect plug-in mechanism, efficient monitoring and scheduling and good compatibility.