986results about How to "Meet practical application needs" patented technology

The invention relates to a visual computing and prewarning method of deviation angle and distance of an automobile from a lane line. The image processing and computer vision technologies are utilized, and the deviation angle and distance of the automobile from the lane line are computed in real time according to the road surface image acquired by a vehicle-mounted camera, thereby estimating the line crossing time for safety prewarning. The method comprises the following steps: detecting the lane lines of the road surface image to obtain a linear equation of partial lane lines; establishing a three-dimensional coordinate system by using the camera as the initial point, and recording the mounting height and depression angle of the camera; calibrating the focal length according to the lane detection result under the condition of a given deflection angle; computing the deflection angle and vertical distance of the automobile relative to the lane line according to a pinhole camera model; and estimating the deviation time from the lane according to the instantaneous running speed of the automobile, thereby obtaining the safety prewarning or intelligent control information of the running automobile.

The invention relates to a deep convolutional neural network-based traditional Chinese medicine tongue image automatic segmentation method and belongs to the computer vision field and traditional Chinese medicine tongue diagnosis field. According to the method of the invention, a convolutional neural network structure is designed; collected sample data are adopted to train the network, so that a network model can be obtained; and the model is adopted to automatically segment a traditional Chinese medicine tongue image. The method includes an offline training phase and an online segmentation phase. The method can be applied to both closed type and open tongue image acquisition environments and can effectively improve the accuracy and robustness of the automatic segmentation of the traditional Chinese medicine tongue image. The method of the present invention specifically relates to deep learning, semantic segmentation, image processing and other technologies.

The embodiment of the invention discloses a data distribution method, which is used for improving the performance of a distribution storage system. The embodiment of the invention comprises the following steps: a data distribution device receives a storage instruction of a user; to-be-stored data which is indicated to be stored by the storage instruction is divided into P data segments; a storage node group corresponding to each data segment is determined; and finally, each data segment is distributed to the main node of the corresponding storage node group. The embodiment of the invention also provides a relevant data storage method and a relevant device and system.

The invention belongs to the technical field of membranes and in particular relates to a porous material-polymer gas separation composite membrane. The composite membrane comprises a separation layer and a supporting layer, wherein a porous material-polymer hybrid membrane is adopted as the separation layer; one of a porous flat plate and a tubular or hollow fiber membrane is adopted as the supporting layer; the porous material of the separation layer is metal-organic frame materials (MOFs) with large specific surface area and high gas adsorption. The MOFs are added into the separation layer so that the gas permeation and selectivity of the membrane are obviously improved; the separation layer and the supporting layer are compounded so that the membrane keeps good mechanical property, and the separation layer is allowed to exist in a compact or asymmetric structure. The composite membrane provided by the invention has high gas separation property, good mechanical property and wide industrial application prospect.

The present invention discloses a three-dimensional reconstruction method and system capable of maintaining sharp features. The method includes the following steps that: 1) a two-dimensional image filtering method extended to a three-dimensional space is adopted to perform smoothing de-noising on inputted roughly-registered point cloud; 2) an improved region growth method is adopted to perform outlier removal on the smoothed roughly-registered point cloud; 3) a kd-tree (k-dimensional tree) acceleration-based ICP (iterative closest point) algorithm is adopted to perform precise registration on the outlier-removed roughly-registered point cloud; 4) a neighborhood search and boundary point detection-based fusion method is adopted to fuse the precisely-registered point cloud; and 5) a feature point detection and adaptive step size update-based method is adopted to perform surface reconstruction on the fused precisely-registered point cloud. The three-dimensional reconstruction system is composed of a point cloud preprocessing module, a point cloud combining module and a surface reconstruction module. The three-dimensional reconstruction system which is realized based on the method of the invention can maintain the sharp features of the edge of a reconstructed model, and therefore, reconstruction speed is considered with accuracy ensured.

The invention discloses a Chinese word stock automatic generation method based on writing style modeling, and the method comprises the steps: carrying out the stroke track automatic extraction and wrong result screening operation of inputted handwritten Chinese character image, and obtaining training data; carrying out the learning and modeling of handwritten Chinese character stroke shape and style and stroke inter-frame structure style through a neural network, and obtaining handwriting stroke connection characteristics and stroke end part contour handwriting features through statistical analysis, and then generating a high-quality Chinese character form consistent with the handwriting style of a user. The method just needs a few of commonly-used Chinese characters as the input, does not need any manual intervention, can automatically generate a vector Chinese word stock comprising a large number of Chinese character patterns, can quickly and automatically generates a handwriting Chinese word stock with other handwriting style for a user, can remarkably improves the manufacturing efficiency of the Chinese word stock, and greatly reduces the production cost.

The invention provides a feature line fused laser point cloud and analog image registration method, and aims to solve the problems that a point cloud distance intensity image or point feature-based image and point cloud registration method in the prior art has many defects of manual point selection errors, point cloud data interpolation errors, need of many observation values and the like, and theprecision is very limited. The invention provides a laser point cloud and analog image registration method based on two-dimensional and three-dimensional fusion characteristic lines. The method comprises the steps of: establishing a direct transformation model between the image feature line and the point cloud feature line. The requirement on the initial value of the exterior orientation elementof the image is not harsh, the method has high robustness to noise, realizes automatic matching of two-dimensional and three-dimensional fusion features, improves the degree of automation, achieves higher real-time performance, has the advantages of no model error, no need of exterior orientation element initial values, only need of a small number of registration elements and the like, is high incalculation speed, and meets the registration requirements of analog images and ground laser point cloud data.

The invention provides a Chinese medicine tongue color and tongue coating color automatic analysis method based on a convolutional neural network, belongs to the field of computer vision and the field of Chinese medicine tongue diagnosis, and particularly relates to the technology of deep learning and image processing. The accuracy and the robustness of tongue color and tongue coating color automatic analysis can be effectively enhanced by the method. The classification accuracy is high. Compared with the conventional "feature extraction + classifier" scheme, the convolutional neural network has an end-to-end structure, and the two processes of feature extraction and classification are completed under the same framework so that the dependence on feature and classifier selection can be avoided. The method has obvious advantages in the aspect of classification accuracy in comparison with the conventional method so as to meet the actual application requirements.

The invention relates to a production method of ultra-fine crystal magnesium/titanium laminated composite panel, which comprises the following steps: firstly, cleaning the surfaces of the metal materials; secondly, stacking the metal materials; thirdly, annealing the stacked sheets; fourthly, rolling the sheets after annealing; fifthly, cutting the rolled sheets into two identical parts, trimming and deburring; repeating the first step to the fourth step for lamination and ply rolling; sixthly, annealing the composite panel obtained from lamination and ply rolling to obtain the ultra-fine crystal magnesium/titanium laminated composite panel. The production method solves the problems of complicated technology, high cost, poor corrosion resistant performance of material and poor interface binding performance of the magnesium/titanium laminated composite panel existing in the prior art. The production method has the advantages of simple technology, low cost as well as good corrosion resistant performance and good interface binding performance of the composite panel.

The invention discloses a holographic polymer dispersed liquid crystal grating and a preparation method thereof. The holographic polymer dispersed liquid crystal grating is prepared through holographic record treatment on mixture including compound liquid crystal and photo-polymerizable monomer. The compound liquid crystal includes first kind liquid crystal compound and second kind liquid crystal compound, wherein the first kind liquid crystal compound is biphenyl cyanide liquid crystal compound, and the mass ratio of the first kind liquid crystal compound to the second kind liquid crystal compound in the compound liquid crystal is 3/26 to 15/10. The mass ratio of the compound liquid crystal to the photo-polymerizable monomer is 25/50 to 50/30. By means of improving a structure, composition and the corresponding preparation method of the key holographic polymer dispersed liquid crystal grating, a novel way for improving diffraction efficiency and a driving voltage requirement of the holographic polymer dispersed liquid crystal grating is provided.

The invention discloses an automatic identification method for a milking sow gesture on the basis of a depth image. The method comprises the following steps that: collecting original depth image data,carrying out preprocessing, and carrying out manual annotation to form a milking sow gesture identification dataset; designing and training a milking sow hybrid deformable component model based on animproved HOG (Histogram of Oriented Gradient) feature; constructing a milking sow gesture identification deep convolutional neural network, utilizing an annotation frame and annotated gesture category training set information, and combining with a random Dropout method to train the network; inputting the test set into the milking sow hybrid deformable component model to obtain the target area ofthe milking sow; and inputting a target area result into the milking sow gesture identification deep convolutional neural network to identity the milking sow gesture. By use of the automatic identification method for the milking sow gesture on the basis of the depth image, the problem that an RGB (Red, Green and Blue) image is likely to be affected by the changes of factors, including outside illumination, shades and the like is overcome, the problem that the milking sow gesture is difficult in identification at night is solved, and the practical application requirement of all-weather milkingsow gesture monitoring can be met.

The disclosed embodiment provides a video shooting method, an apparatus, an electronic device and a computer-readable storage medium. The method includes: receiving a video shooting trigger operationof a user through a video playing interface of an original video; in response to the video shooting triggering operation, superimposing a video shooting window on the video playing interface; receiving a video shooting operation of a user through thevideo playing interface; in response to the video shooting operation, playing the original video is ed while the user video is shot, and displaying the user video through the video shooting window; and synthesizing the user video and the original video to obtain a co-shot video. With the scheme of this embodiment, the user only needs to carry out the related operation of shooting the user video on the video playing interface to obtain the function of co-shooting video, and the operation process is simple and fast. Because the user's feelings tothe original video can be reflected through the user video, the user can conveniently display the feelings to the original video through the scheme, and the user's interactive experience is improved.

The invention discloses a Chinese medicinal material microscopic image feature extraction and recognition retrieval method. A PCNN time matrix information processing method is introduced, image feature information in a transform domain is extracted through combination of PCNN and image Fourier transform and decimal power exponent filtering phase, and a Chinese medicinal material microscopic image information rapid storage and recognition retrieval method is put forward on the basis of mahalanobis distance with combination of comprehensive similarity measure of a Pearson product moment correlation method so that a holographic Chinese medicinal material microstructure image and pollen image feature extraction and recognition retrieval system is constructed, objectivity, accuracy, repeatability and intelligent degree of Chinese medicinal material quality evaluation can be further enhanced, and a new approach is provided for modernization of Chinese medicinal material detection and analysis.

The invention relates to the technical field of information processing, and discloses a logistics monitoring method and system. The logistics monitoring method comprises the following steps: obtaining the position information of a logistics vehicle, wherein the position information comprises a current position; judging whether the current position deviates from a preset logistics path or not; and if the current position deviates from the preset logistics path, generating early warning information. The invention also provides a logistics monitoring system. By use of the logistics monitoring method and system, a merchant can monitor the current position in a commodity transportation process in real time, and can know accident situations in commodity transportation in time through the early warning information which is automatically generated so as to adopt a response measure in time to avoid risks.

The embodiment of the invention provides an augmented reality-based information providing method and device, equipment and a storage medium. The method comprises the steps of obtaining a scene image of a reality scene collected by an image collection device; according to the scene image, obtaining to-be-displayed augmented reality AR content and a display target of the AR content in the scene image; fusing the AR content with the display target so as to provide the fused content for the user; wherein the AR content is determined by the following modes: identifying a scene image to obtain scene information of the scene image; and determining AR content corresponding to the scene information based on the scene information. Based on the scheme provided by the embodiment of the invention, the information associated with the scene where the user is located can be provided for the user, and the information is displayed to the user based on the AR technology, so that the immersion of the user is effectively improved, and the actual application requirement can be better met.

The invention relates to an oil-electric hybrid power multi-motor aircraft and belongs to the technical field of unmanned aircrafts. The oil-electric hybrid power multi-motor aircraft is mainly composed of an upper main rotor 1, a lower main rotor 2, a multi-rotor aircraft electric control panel 4, motor-driven auxiliary rotors 5, motors 6, a fuel oil engine 7, a rotating speed pairing gearbox 8, a battery 11 and a throttle control stepping motor 24. Flying power is provided for the aircraft through the main rotors and the auxiliary rotors jointly, the main rotors provide main lifting power, and the auxiliary rotors provide a small part of lifting power; the main rotors are composed of the upper main rotor 1 and the lower main rotor 2, the size of the upper main rotor is the same as the that of the lower main rotor, the rotating speed of the upper main rotor is completely the same as that of the lower main rotor, and the rotating direction of the upper main rotor is opposite to that of the lower main rotor, so that the positive torque and the reverse torque are balanced, and the aircraft is prevented from rotating in the air. The fuel oil engine 7 is fixed to an aircraft arm 16, rotary shafts of the main rotors penetrate through the geometric center of the multi-motor aircraft, and the gravity center of an oil tank 15 is located in the geometric center of the multi-motor aircraft.

The invention discloses a micro-nano manufacturing method of a compound eye structure micro lens array, wherein a hard material for manufacturing a micro lens array template is fixed at a three-dimensional precision displacement platform, so that an ultra-short pulse laser acts on the surface of the material to ablate a desired crater array; the hard material on which the crater array is ablated is put into hydrofluoric acid diluent to be corroded; a PMMA (Polymethyl Methacrylate) chloroform solution is coated on the surface of the template uniformly by using a plane casting process, and subsequently dried and solidified naturally; a small ball is heated; and the back plane of a PMMA membrane is uniformly extruded by a ball crown until the membrane wraps the half ball to form a semispherical structure, thus obtaining the compound eye structure micro lens array. The high repeatability and the mass production with low cost of the compound eye structure micro lens array are realized; and meanwhile relevant parameters are flexible and adjustable.

The invention discloses a preparation method and an application of a single-ion conductive polymer electrolyte membrane. The preparation method and the application are characterized by adopting heat initiated free radical polymerization, a polymerization system comprises lithium-containing monomers, poly(ethyleneglycol)methacrylate and a cross-linking agent, and a specific plasticizer is added toa reaction system before the reaction. The preparation method of the single-ion conductive polymer electrolyte membrane comprises steps as follows: the lithium-containing monomers, poly(ethyleneglycol)methacrylate, the cross-linking agent and a thermal initiator are dissolved in the plasticizer, and after heat initiated polymerization, the transparent self-supporting electrolyte membrane with certain mechanical strength is obtained. The preparation method and the application have the advantages as follows: a one-pot method is adopted for synthesis, the operation is convenient, and the steps are simple; the prepared electrolyte membrane has good mechanical strength, heat stability and electrochemical stability, and further has high ionic conductivity and large transport number of lithium ions; an assembled lithium metal battery shows excellent cycle performance.