6results about How to "Fully automatic processing" patented technology

The application relates to a basketball video highlight automatic generation method and system based on multi-modal feature fusion, and belongs to the technical field of computer vision and multimedia intelligent analysis. The method comprises the following steps: S1, extracting and aligning a visual feature sequence and an audio feature sequence; S2, using bidirectional LSTM to perform time sequence coding on the audio-visual feature, constructing a cross-modal attention mechanism taking audio as a query and vision as a key value, and obtaining multi-modal fusion features; S3, inputting the fusion features into a 1D CNN to output a frame-by-frame highlight event probability sequence; S4, performing peak value searching based on an adaptive threshold of the probability sequence to obtain a coarse-grained timestamp; S5, taking the coarse-grained timestamp as a center to intercept local features, inputting the local features into bidirectional LSTM to predict starting and ending offsets, and obtaining accurate start and end time boundaries; and S6, clipping and splicing to generate a highlight video according to the accurate boundaries. The application realizes audio-visual semantic depth alignment through an audio-guided visual attention mechanism, and improves boundary positioning accuracy through a coarse-precision two-stage positioning architecture.

This invention discloses a UAV-GPR noise suppression and imaging method and apparatus based on Hankel trajectory matrix decomposition, belonging to the field of ground-penetrating radar technology. The method first preprocesses the radar echo data and constructs a Hankel-block-Hankel trajectory matrix, achieving noise suppression through singular value decomposition and adaptive truncation and reconstruction based on a quasi-local curvature metric. Then, the derivative threshold reference point method is used to accurately extract the arrival time of surface reflections from the noise-suppressed data, thereby estimating and correcting flight altitude variations. Next, singular value decomposition based on a distance threshold is applied to suppress surface reflections in the altitude-corrected data. Finally, a time-delay summation imaging method based on refraction point approximation in a two-layer medium model is derived, and the filtered data is focused and imaged using the average flight altitude. This invention achieves accurate detection and location of underground targets.

The application discloses a kind of based on three-dimensional voxelization map small unmanned aerial vehicle fine inspection path planning method, system, setting and medium, it is related to unmanned aerial vehicle control technical field, the method includes: S1: three-dimensional voxelization modeling is carried out to inspection object and environment, and safety inflation processing is carried out to obstacle;S2: the original inspection view point set is clustered and clustered, and the view point in clustering cluster is sorted according to S type path order;S3: the three-dimensional A* algorithm of optimization is used to generate collision-free polyline path;S4: the line path generated in step S3 is smoothed using line-of-sight algorithm, removes redundant node, generates smooth flight trajectory;S5: the path point after smoothing is converted from local model coordinates to WGS84 latitude and longitude coordinates using decoupling fitting strategy based on control point, generates the GPS waypoint sequence executable by unmanned aerial vehicle.The method provided by the application can solve the problems of unsafe path planning during inspection, low inspection point traversal efficiency, non-smooth flight path and the like in the prior art.

This invention discloses an intelligent contour smoothing method and apparatus based on feature constraints and parameter adaptation, belonging to the field of geographic information systems and digital map making technology. The method includes: acquiring DEM data and its original contour data and preprocessing them; intelligently identifying and fusing terrain feature points; adaptively calculating the smoothing intensity coefficient of each contour line or curve segment based on the local terrain parameters traversed by the original contour lines; using terrain feature points as constraints and the smoothing intensity coefficient as control parameters, performing smoothing calculations on the original contour lines using a constrained B-spline curve fitting method; verifying the accuracy compliance and iteratively optimizing the smoothed contour lines; performing topology checks and repairs on the final smoothed contour lines, and outputting a smoothed contour line vector file conforming to cartographic specifications. This invention achieves high-fidelity and high-efficiency contour smoothing in a fully automated process, effectively solving the problems of terrain distortion or reliance on manual labor caused by traditional methods.

This invention discloses a sliding door and window processing equipment, relating to the field of profile milling technology. It includes a main structure comprising a processing table, a milling cutter module fixedly connected to one side of the top of the processing table, a placement platform at the bottom of the milling cutter module, a cylinder fixedly connected to one side of the placement platform, a clamping plate fixedly connected to one side of the cylinder, and a conveying component at the bottom of the placement platform; and a collection component, including a collection frame located at the bottom of the placement platform, with a strip-shaped drainage plate fixedly connected to the top of the collection frame. The collection component enables fully automated processing of debris and coolant. The collection frame promptly captures processing waste, and in conjunction with energy storage components and filter frames, automatically completes separation, cleaning, and discharge without interrupting the processing flow, solving the problem of time-consuming manual cleaning. The adjustment component facilitates multi-angle processing of workpieces.

This invention discloses a method and system for clear sky synthesis of FY-3D medium-resolution imager images. First, FY-3D MERSI time-series image data is preprocessed, and a time-series clear sky / cloud mask is obtained through fully automated cloud detection based on time-series analysis. Then, based on object-oriented principles, the clear sky / cloud mask is segmented to obtain clear sky and cloud mask objects. The cloud mask objects are then synthesized with FY-3D MERSI time-series data that has undergone radiometric consistency processing to create a clear sky image. Finally, the synthesized clear sky image undergoes post-processing including feathering, color enhancement, and texture enhancement to obtain the final clear sky image. This invention enables fully automated clear sky synthesis of images and boasts high parallel processing efficiency.