12results 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 invention relates to an HNB electronic cigarette automatic smoking device, and relates to the technical field of smoking devices, the HNB electronic cigarette automatic smoking device comprises a machine body, a smoking set fixing mechanism, a smoking set triggering mechanism, a cigarette feeding mechanism and a smoking mechanism; the smoking set fixing mechanism comprises at least one clamp which is horizontally arranged and used for clamping the HNB electronic cigarette. The cigarette feeding mechanism comprises at least one flue and at least one cigarette feeding air cylinder, the flue is arranged opposite to the clamp, and the cigarette feeding air cylinder is used for conveying cigarettes located in the flue into the HNB electronic cigarette. The smoking set triggering mechanism comprises at least one triggering air cylinder which is vertically arranged above the clamp and used for triggering a button switch of the HNB electronic cigarette. The suction mechanism comprises at least one suction nozzle and at least one suction lifting module, the suction nozzle is used for being connected with a cigarette filter tip, and the suction lifting module is used for collecting or discharging smoke. The invention provides the smoking device capable of being matched with the HNB electronic cigarette, and the experiment and detection requirements of the HNB electronic cigarette are met.

The invention relates to a full-automatic rail transit system, method, equipment and medium based on flood-disaster linkage, the system comprises a signal system and a comprehensive monitoring system which are connected with each other, and the full-automatic rail transit system further comprises a water pump water level alarm system connected with the comprehensive monitoring system; the water pump water level alarm system sends monitored water level information to the comprehensive monitoring system, the comprehensive monitoring system divides interval water accumulation conditions into different grades according to the water level information and then sends the different grades of the interval water accumulation conditions to the signal system, and the signal system sends the different grades of the interval water accumulation conditions to the water level alarm system. And the automatic response of normal running, automatic speed limiting or deduction of the train is made. Compared with the prior art, the method has the advantages that the problem that operation is disordered and interrupted due to interval ponding false alarm information in the full-automatic operation process of the train is solved, and the operation efficiency is improved on the basis of ensuring safety.

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.

The invention discloses a fighting behavior recognition method and device and a medium, and the method comprises the steps: obtaining a real-time video stream of a monitoring region, carrying out the multi-modal feature extraction of each image frame in the real-time video stream, and obtaining the multi-modal features of at least two target individuals in each image frame; on the basis of the multi-modal features of the current image frame, according to a preset single-frame judgment rule, generating single-frame fight state judgment for judging whether fight suspicion exists between the at least two target individuals or not; for a plurality of continuous image frame sequences in the real-time video stream, associating and tracking identification information of at least two target individuals to obtain a time sequence state and a space trajectory of the same target individual pair in the image frame sequences; and on the basis of the time sequence state and the space trajectory, according to a preset continuous frame verification rule, generating continuous fighting behavior judgment, and in response to the continuous fighting behavior judgment, triggering fighting behavior early warning and generating corresponding alarm evidence.

The invention provides an ultrasonic defect signal automatic detection method based on instantaneous a scanning signal statistics. The ultrasonic defect signal automatic detection method comprises the following steps: step 1, acquiring all ultrasonic a scanning signals [U] t1 of a detected material at a moment t; 2, acquiring a signal statistical table [D] t1 at the moment t; 3, all ultrasonic signal types in the signal statistical table [D] t1 are extracted and analyzed; 4, the analysis result serves as reconstruction data and is included in a reconstruction signal statistical table [D] t2 at the t moment; 5, reconstructing all the ultrasonic a scanning signals [U] t1 at the t moment into [U] t2 according to the mapping relation on the physical positions of the signal statistical table [D] t1 at the t moment and the reconstructed signal statistical table [D] t2; and step 6, repeating the steps 1-5, and reconstructing and superposing the ultrasonic scanning signals a at all moments to obtain a reconstructed ultrasonic detection result. According to the method, automatic processing of ultrasonic data can be realized, defect distribution information can be directly obtained after original data are imported, and multi-field technology integration and development based on an ultrasonic nondestructive testing technology are facilitated.

This invention discloses a tidal level boundary correction and forecasting method that integrates measured data feedback and tidal range analysis, belonging to the field of tidal level boundary prediction technology. The method includes the following steps: based on the preprocessed tidal level signal, a reduced-order physical constraint semi-diurnal tide model is fitted sequentially, followed by peak-valley effectiveness screening guided by the fitting template, to extract tidal morphological features; based on the tidal morphological features, amplitude correction coefficients, basal correction coefficients, and initial phase correction values ​​are extracted, and the initial phase correction values ​​are optimized to obtain diurnal variation coefficients and cumulative coefficients for performing tidal level boundary correction and forecasting. This invention achieves unmanned, real-time, automatic tidal level boundary correction and forecasting.

The invention discloses a children traditional Chinese medicine tongue diagnosis image color automatic correction method and system based on deep learning, and the method comprises the steps: (1) photographing a tongue diagnosis image containing a color standard card, and collecting a color standard card reference image; (2) constructing an improved GAN model which comprises a generator and a discriminator; the generator is responsible for receiving a random noise vector as input in the training process and generating an image similar to the tongue diagnosis image after color correction; the discriminator is responsible for receiving the tongue diagnosis image generated by the generator, comparing a color standard card in the image with a color standard card reference image, and distinguishing the tongue diagnosis image with real color and the tongue diagnosis image after color correction; (3) training the GAN model; and (4) inputting a to-be-corrected tongue diagnosis image containing the color standard card into the generator, and outputting the corrected tongue diagnosis image. According to the invention, color correction can be carried out on the tongue diagnosis image, and the tongue diagnosis image color which is actually seen by naked eyes can be generated.

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.