103 results about "Multiple frame" patented technology

A method and system for tracking a position of a robotic tool relative to a workpiece mounted on a workpiece holder. The method includes: i) identifying a first frame of reference defining the position of the workpiece; ii) identifying a second frame of reference defining a position of a machining head of the tool attached to a robotic arm, the tool further including a clamp moveable relative to the machining head; iii) identifying a third frame of reference defining a position of the clamp; iv) actuating the robotic arm to move the tool to a first target position relative to the workpiece; v) operating the clamp to apply a clamping force on the workpiece; vi) measuring a position of the third frame of reference; and vii) updating an offset to the first target position based on movement of the third frame of reference after operating the clamp.

This invention relates to the field of visual recognition technology, specifically disclosing a target recognition processing method based on sliding window and multi-view fusion. The method includes: acquiring video streams from multiple viewpoints of a target scene; extracting and recognizing visual features of video frames for each viewpoint video segment to obtain basic recognition results under a single viewpoint; determining whether the basic recognition results of multiple consecutive frames under each single viewpoint conform to preset business rules, generating a single-view result sequence; performing frame-level fusion of the visual features under each single viewpoint to obtain fused visual features of multiple frames under multiple viewpoints; determining whether the fused visual features of each frame conform to preset spatial rules, generating a multi-view result sequence; and performing smoothing and fusion processing on each single-view result sequence and the multi-view result sequence to generate the recognition result of the current video segment. This invention can fully utilize multi-view data to improve recognition accuracy.

A power management method includes: receiving an input video signal, wherein the input video signal comprises multiple frames; extracting at least one video feature from each of the multiple frames; performing a prediction operation according to the at least one video feature to generate a coarse prediction result, wherein the coarse prediction result is indicative of a value of a required power of the each of the multiple frames; and for the each of the multiple frames, adjusting a frequency of a video decoder according to a refined prediction result to drive the video decoder, wherein the refined prediction result is an error calibrated version of the coarse prediction result.

This invention belongs to the field of building construction technology, and particularly relates to a formwork and construction method for torsion concrete columns that can rotate at any angle in large venues. It includes: a central shaft for support; multiple frame components arranged vertically, each frame component comprising four telescopic mechanisms; the central shaft being located inside the frame components; and the four telescopic mechanisms connected end-to-end to form a quadrilateral structure; a linkage shaft connecting the telescopic mechanisms and the central shaft, one end of which is rotatably connected to a telescopic mechanism; and a protrusion ring corresponding to the frame component fitted onto the surface of the central shaft. This invention uses multiple telescopic mechanisms, the lengths of which combine to form the shape of the quadrilateral frame component. The shape of the frame component can be adjusted by adjusting the lengths of the telescopic mechanisms as needed. The telescopic structure can adapt to irregularly shaped torsion concrete components at any angle, thus eliminating the need for custom-made formwork of fixed sizes.

The application discloses a CNN denoising method based on distance-Doppler information, comprising the following steps: acquiring continuous multiple frames of radar distance-Doppler images, and constructing a convolutional neural network model; introducing an effective loss solving function to the convolutional neural network model for training; inputting a current frame image, a previous frame image of the current frame and a previous two frame image of the current frame into the trained convolutional neural network model to obtain a denoised image of the current frame image, wherein the convolutional neural network model comprises a self-adaptive moving encoder module combined with a convolution block attention module, effectively avoiding the problems of redundant parameters and serious information loss caused by forward convolution and maximum pooling of a convolutional autoencoder and other convolution-based denoising autoencoders. Meanwhile, the feature map is adaptively encoded, and those feature maps containing target information are selectively emphasized, and those feature maps containing interference information are as much as possible ignored.

This utility model discloses a soundproof structure for a minimalist soundproof door set, including a soundproof structure body. A first frame, a second frame, and a third frame are spaced apart within the soundproof structure body. A first core layer is disposed between the first and second frames, and a second and third core layer are disposed between the second and third frames. An isolation layer is disposed between the second and third core layers. Through the design of multiple frames and multiple core layers, the soundproof structure provides support for the core layers, resulting in high overall structural strength and impact resistance, strong deformation resistance, good sound insulation, and light weight. The third core layer is made of aluminum honeycomb core and foamed plastic filling. The filling material can fill the gaps in the packaging container, fixing and supporting the soundproof structure body, preventing the product from moving or colliding during transportation. It also has good thermal insulation performance, protecting the soundproof structure body from temperature changes.

This invention discloses an obstacle detection method, apparatus, robot, and storage medium. The obstacle detection method includes: acquiring pre-stored obstacle information corresponding to a target location, wherein the pre-stored obstacle information includes at least pre-stored location information and obstacle type; acquiring multiple frames of current image data of the target location based on the pre-stored location information of the obstacle; determining whether an obstacle exists in the multiple frames of current image data; and determining whether an obstacle exists at the target location based on the number of times the obstacle is determined not to exist and a preset first threshold corresponding to the obstacle type.

The utility model relates to a kind of water-permeable garden pavement paving structures, including frame, rubber cover plate and limit seat, multiple connecting parts are evenly provided on the limit seat, multiple frame and a limit seat are assembled on ground, each described connecting part is located between two adjacent frames and contact with frame, the rubber cover plate is covered in the surface of frame and limit seat and assembled on ground, water-permeable groove is set on the position of rubber cover plate corresponding frame.The utility model is installed frame and limit seat on ground, so that limit seat is sequentially arranged to frame, then rubber cover plate is installed on ground and covered in the surface of frame and limit seat, water-permeable groove on the surface of rubber cover plate and the filler such as fine sand inside frame can filter and store water, after removing rubber cover plate, frame and limit seat can be maintained, so that the overall loading and unloading process is relatively simple, and it is relatively convenient when maintaining later.

The present application relates to the radar signal processing neighborhood, specifically to a kind of target detection method based on target space-time stability.The method includes: based on the time-domain signal representation of multiple frames sliding, generate subframe by dynamic matching filter, obtain subframe peak point information, including the energy, distance, doppler information of peak point on each subframe RD spectrum;Based on the spatial signal processing of single snap angle, generate multi-subframe peak point RDA spectrum, obtain the azimuth information of peak point on each subframe RD spectrum, utilize the feature information of each subframe peak point, remove false alarm point using false alarm suppression method based on mahalanobis distance;After false alarm suppression, the result is further removed discrete false alarm point using target track based on space-time stationarity, the method proposed in the present application improves the problem of too many false alarms in the RD spectrum after traditional clutter suppression algorithm;It can effectively reduce false alarm rate while retaining weak target signal, improve target detection capability;It is suitable for multiple system radars, and the application range is wide.

The application discloses an echo cancellation method and system based on a heterogeneous multi-scale convolutional recurrent network, which first constructs a correlation encoder based on the extraction of relevant feature patterns in multiple frames of context, then constructs a spectral encoder according to the extraction of spectral patterns in a single frame, and then adopts the correlation encoder and the spectral encoder to form a heterogeneous multi-scale encoder and obtain multiple paths of encoded features; the application realizes the function of extracting different features from the input mixed signal spectrum and the reference signal spectrum by using the heterogeneous dual-path encoder, adopts correlation coding to adapt to the time delay between the reference signal and the mixed signal, and extracts correlation feature expressions from multiple frames of spectrum, simultaneously adopts spectral coding to extract spectral pattern expressions from the current frame in order to strengthen the spectral resolution of the current frame, and realizes the function of further adopting a channel attention feature soft selection mechanism to fuse the correlation feature coding and the spectral coding for the dual-path features, and is suitable for being widely promoted and used.

The utility model discloses a kind of leveling equipment for wire mesh production, including bottom plate, multiple frame bodies are equipped in the bottom plate, one the frame body is connected with the bottom plate, multiple first roller bodies are rotatably connected in the frame body, multiple frame bodies one end and the other end are provided with through opening, two the block body is slidably connected in the through opening, multiple screw rods are threadedly connected in the block body.The utility model utilizes the connecting rod formed by multiple rod bodies, so that when one end frame body moves in slide rail, multiple frame bodies can be pulled to carry out equidistance adjustment operation, so that the interval of multiple groups of first roller bodies and the interval of multiple groups of second roller bodies can be adjusted, and the interval of first roller body and second roller body can also be adjusted, which can adapt to the leveling needs of wire mesh of different thickness, material and specifications, greatly improving the versatility of the equipment.

A video encoding and decoding method, apparatus, and medium are provided. An example method of video decoding includes receiving a video bitstream including a plurality of frames, the plurality of frames including a current frame; and identifying a primary reference frame for context initialization of the current frame. The method further includes identifying a reference frame of the current frame based on the primary reference frame, and reconstructing the current frame by applying a cross component sample offset (CCSO) mode using the reference frame.

A media item to be provided to users of a platform is identified. The media item includes multiple frames. Metrics for the frames of the media item are obtained. A frame type associated with each of the frames is determined based on the metrics. The media item is determined, based on the frame type associated with each frames, to be encoded using two or more of a hardware encoder, a software encoder, or a hybrid encoder. The frames of the media item are encoded using the two or more of the hardware encoder, the software encoder, or the hybrid encoder in accordance with the determination.

This invention discloses a building envelope structure for residential construction and its usage method, comprising: a frame, wherein multiple frames are sequentially connected by an internal scissor-type cross-link structure to form a retractable envelope body; a first movable column and a second movable column, the first movable column being fixedly connected to the leftmost frame and the second movable column being fixedly connected to the rightmost frame, with locking casters fixedly connected to the bottom of the first and second movable columns respectively; a enclosure panel assembly, the enclosure panel assembly being disposed on both sides of the envelope body composed of multiple frames, each enclosure panel assembly being composed of multiple modular single enclosure panels, each single enclosure panel being composed of multiple panels connected by hinges; and a windproof assembly, the windproof assembly including a windproof rod rotatably connected to the side of the frame, the end of the windproof rod being provided with a second fixing block; this invention has the function of rapid deployment and folding by a single person, and has the functions of simple and reliable structure, compact storage volume, stable and durable on site, and independent replacement of each component, alleviating the problems of low deployment efficiency, complex and easily damaged structure, and difficult maintenance in the prior art, improving construction efficiency, reducing use and maintenance costs, and enhancing environmental adaptability.

This invention provides a method and system for 3D reconstruction of animal surfaces using a shearing robot. First, the robot arm's scanning pose is determined through a Gaussian mutual information-based scanning pose inference mechanism to ensure multi-view coverage of the target surface by the depth camera. Then, the robot arm executes motion planning to acquire point clouds of the target from multiple perspectives, and the original point clouds are filtered and denoised. Next, coarse registration is performed using feature extraction and a robust algorithm to provide initial values ​​for fine registration. Based on the coarse registration, a Fast-GICP registration algorithm based on sliding window optimization is used, combined with a bidirectional frame-by-frame progressive strategy, to jointly optimize multiple frames of point clouds within a local time window, improving global registration accuracy. Finally, the multi-view point clouds are fused to generate a continuous and complete 3D surface model, achieving high-precision and robust 3D reconstruction of the animal surface.

This application provides a contrast adjustment method, computer program product, electronic device, and storage medium, applied in the field of image processing. The method includes: acquiring an image to be adjusted; splitting the image to be adjusted into multiple frame-by-frame images; performing HDR fusion on the multiple frame-by-frame images to obtain a fused image; and determining a first result image after contrast adjustment based on the fused image. Specifically, by splitting the image to be adjusted, the resulting multiple frame-by-frame images represent the result of image acquisition at a certain exposure level, thus allowing the HDR fusion method to be used to fuse the multiple frame-by-frame images. Since HDR fusion can enhance both the detail and dynamic range of an image, the fused image has higher dynamic range and detail. Furthermore, a first result image with higher dynamic range and detail can be determined based on the fused image.

The application discloses a method and device for determining the vibration state of an interferometric profiler and a measuring system. The method comprises: in response to a collection instruction, controlling a signal collection module in the interferometric profiler to collect multiple frames of interference signals; obtaining signal intensity difference values between adjacent signals in the multiple frames of interference signals, and comparing the signal intensity difference values; determining a vibration coefficient according to the comparison result, and determining the collection frequency of the interference signals; and determining the vibration state of the interferometric profiler based on the vibration coefficient and the collection frequency. The method uses the signal collection device of the interferometric profiler to collect interference signals for measurement, thereby reducing the cost without adding additional equipment, and solving the technical problem of being unable to accurately monitor vibration data in real time.

This invention discloses an artificial intelligence-based method for drilling and locating holes on metal surfaces, comprising the following steps: acquiring multiple frames of images of the metal surface to construct an original multi-frame image sequence; performing weighted fusion on the original multi-frame image sequence to obtain a fused image, a specular mask, and an edge map; constructing an improved HorNet backbone network to output multi-scale texture feature maps; inputting the multi-scale texture feature maps into a texture-coordinate joint head to generate a texture saliency map and initial drilling coordinate parameters; inputting the initial drilling coordinate parameters into a projection-aware coordinate transformer to obtain drilling positioning coordinates in the machine tool workpiece coordinate system; constructing a multi-task loss function and performing end-to-end training; inputting the fused image into the trained and converged improved HorNet network to output the drilling positioning coordinates. This invention can achieve high-precision drilling and locating under complex metal surface conditions and is suitable for intelligent manufacturing and CNC machining scenarios.

This invention belongs to the field of welding technology and discloses an auxiliary tooling for welding weatherproof doors. The auxiliary tooling includes reinforcing components, each comprising multiple frames that can conform to the hull plating. These frames are connected end-to-end and surround the opening. Two reinforcing components are provided, one on each side of the hull plating. Magnets are installed on the multiple frames of both reinforcing components. These magnets attract each other, clamping the hull plating between the two reinforcing components. This strengthens the structural integrity around the opening in the hull plating, preventing excessive deformation during the welding process. Cooling components are also installed on the multiple frames of both reinforcing components. These cooling components exchange heat with the magnets to lower their temperature, preventing the magnets from weakening at high temperatures and ensuring stable installation of the two reinforcing components on the hull plating.

This application provides a PCB defect detection method and apparatus based on digital holography, belonging to the field of printed circuit boards. The method includes: acquiring multiple consecutive frames of interference fringe patterns; wherein, during the acquisition of the interference fringe patterns, the light intensities of the object beam and reference beam are acquired in real time and adjusted to make their intensities equal, thereby improving the quality of the interference fringe patterns; inter-frame alignment and temporal fusion are performed on the multiple frames of interference fringe patterns, followed by weak light enhancement processing to obtain enhanced interference fringe patterns; based on the enhanced interference fringe patterns, the three-dimensional topography of the PCB is reconstructed; and based on the reconstructed three-dimensional topography of the PCB, defect detection is performed on the PCB.

This invention relates to the field of industrial visual intelligent inspection technology, and in particular to an intelligent visual inspection system for surface defects of label paper. The system continuously acquires multiple frames of images of the same label area during roll-to-roll feeding, establishes spatial correspondence between adjacent frames, and calculates the time-series changes in grayscale distribution, edge position, and texture features of the divided structural regions. Through continuous discrimination, progressively changing areas are identified as process evolution areas. Areas that do not meet the continuous change pattern are anomaly screened and defect identification signals are generated. This solution changes the processing method based on single-frame matching tolerance for defect judgment, maintaining anomaly identification stability under tension fluctuations or local deformation conditions, and is suitable for detecting surface defects of various types of labels.

The application provides an intelligent ship identity recognition method and system based on artificial intelligence, and the method comprises the following steps: training original samples through structure constraint enhancement, and constructing a model conforming to real maritime imaging conditions; generating stable target sequences by using joint segmentation and identification bearing area guide mechanism on input videos; continuously updating the frames by tracking feature extraction model in a global coordinate system to realize target tracking; detecting texts on the tracking sequences, and suppressing single-frame errors by using the probability fusion of the same character positions in multiple frames; and finally, matching the recognition results with an identity database index to complete verification. The application significantly improves the accuracy and stability of ship identity recognition in complex environments, and is mainly used in port monitoring, maritime supervision and ship automatic identification scenes.

One embodiment of this disclosure provides an endoscopic video analysis method executed by a computing device including at least one processor. The method includes the following steps: in an endoscopic video consisting of multiple frames, determining a frame-by-frame category corresponding to an action that the endoscopic device needs to perform for each frame; and, based on the frame-by-frame categories, determining a final category corresponding to a final action that the endoscopic device needs to perform for the endoscopic video, the category including at least one of a first category for driving a gas pump operation of the endoscopic device, a second category for driving a water pump operation of the endoscopic device, a third category for driving a suction pump operation of the endoscopic device, and a fourth category not belonging to the first to the third categories.

This application discloses a data processing method, apparatus, and electronic device. The method is applied to a terminal running a target program, which includes a rendering thread and a computation thread. The rendering program loads a first link library file and a second link library file. The first link library file includes a first function and a second function. The method includes: the rendering thread executing the second link library file to perform the following operations: if the rendering thread calls the first function within each frame, a hook operation is performed on the first function, and multiple frame buffers are obtained from multiple storage addresses; if the rendering thread calls the second function within each frame, a hook operation is performed on the second function, and the multiple frame buffers are sent to the computation thread; the computation thread determines the number of downsampling processes performed to obtain the floodlight image based on the obtained multiple frame buffers. This method is highly versatile, requires no manual intervention, and can determine the number of downsampling processes performed to obtain the floodlight image in real time.

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for compressed-domain compositing of video streams. A server obtains compressed video streams, each compressed video stream including multiple frames, each frame including a video content region that is a portion of the frame, encoded using a segment identifier for pixels included in the video content region, and encoded using a set of static symbol frequencies. The server receives, from a user device, a request for video stream content, and composites a first and a second compressed video stream to obtain a compressed-domain composite video stream including a first video content region of the first compressed video stream and a second video content region of the second compressed video stream, and provides, to the user device, a packet including a set of frames of the compressed-domain composite video stream decodable by a single decoder.

The utility model discloses a kind of automatic screening devices of zanthoxylum bungeanum fine powder, including base.The utility model is according to actual production demand, reasonably selects the frame body two of different mesh aperture of quantity adaptation and adaptation, places the frame body two of smallest mesh aperture on frame body one, ensure that the groove of frame body two and the corresponding block of frame body one are in accord with each other.According to the order of mesh aperture from small to big, multiple frame body two are assembled.After the assembly of frame body two is completed, frame body three is translated along the block until it is closely attached to frame body two.Screw bolt is screwed into corresponding hole body, and multiple frame body two, a group of frame body three and frame body one are firmly fixed together.Because the mesh aperture of mesh plate installed on multiple frame body two and frame body three is different, fine classification of zanthoxylum bungeanum fine powder can be realized, for example, it is screened into different fineness products.This adjustment mode is relatively simple, and production efficiency is improved to some extent.

This application relates to the field of optoelectronic aiming testing technology, specifically to a method and system for testing the aiming accuracy of optoelectronic equipment. The method includes: acquiring multiple frames of various images during the aiming accuracy test of the optoelectronic equipment; acquiring original aiming line data and reference target position data; for a single type of image, acquiring each local region in each frame, and acquiring matching local regions of each local region in the remaining frames; acquiring the inter-frame jitter difference degree of each local region in each frame, and acquiring the dynamic interference difference value of each local region in each frame; acquiring the weight of each frame when fusing the single type of image, and obtaining a fused image of the single type of image; acquiring various errors during the aiming accuracy test of the optoelectronic equipment, and evaluating the pass / fail status of the aiming accuracy of the optoelectronic equipment. This application aims to improve the accuracy of aiming accuracy testing of optoelectronic equipment.

This invention provides an infrared touch frame and a touch display screen, belonging to the technical field of LED display devices. The infrared touch frame includes a main frame and an infrared frame; the main frame is positioned on the outer periphery of the display screen; the infrared frame is detachably connected to the main frame; the infrared frame includes multiple frame units connected sequentially along the circumference of the main frame; adjacent frame units have plug-in components on their opposite end faces for interlocking and fixing adjacent frame units. At least two frame units include a vertical frame and a horizontal frame, with the ends of the vertical and horizontal frames fixedly connected, such that the vertical and horizontal frames are arranged at an angle at the top corner of the main frame and cover the top corner of the main frame. The infrared touch frame can be configured as an independent and complete accessory, enabling LED display devices to support both touch and non-touch functions, effectively reducing manufacturing and installation costs and improving installation convenience.

This invention relates to the field of underwater acoustic signal processing technology, and in particular to a reverberation suppression method based on local adaptive control. The method first performs beamforming on the active sonar received signal to obtain beam domain data; then, it performs single-channel energy normalization on each frame of data column-wise to achieve local adaptive control of reverberation and improve inter-frame reverberation correlation; next, it vectorizes and concatenates multiple frames of data to construct a multi-frame joint matrix; then, it uses iterative reweighted least squares to achieve low-rank sparse decomposition, separating reverberation from the target; finally, it reconstructs the reverberation-suppressed detection result. This invention effectively solves the problem of weak inter-frame reverberation correlation leading to decreased reverberation suppression performance in moving platforms and complex environments. It can still achieve excellent reverberation suppression and target extraction under low signal-to-mixing ratio conditions, and is suitable for active sonar detection of underwater moving targets. It has advantages such as strong engineering practicality and good environmental adaptability.