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72results about How to "Avoid smooth" patented technology

Generative-adversarial-network-based blurred face reconstruction method and system

The invention discloses a generative-adversarial-network-based blurred face reconstruction method and system. The face reconstruction method comprises: acquiring a training sample and to-be-re-reconstructed data; carrying out generative adversarial network training on two convolutional neural networks by the training sample to obtain an optimized-target-based generative network model; and acquiring a blurred face from the to-be-re-reconstructed data, inputting the blurred face into the generative network model to carry out de-blurring reconstruction of the face, thereby obtaining a clear face.The face reconstruction method and the system have the following beneficial effects: a phenomenon that the image obtained by using an interpolation method is too smooth is avoided; the image recovered by the model becomes clear and more high-frequency details are provided; because no frequency domain method is needed, a phenomenon that the frequency-domain data are lack of correlation is avoided;and the blurred face or shielded face can be reconstructed rapidly and the definition and similarity are high. In addition, the face reconstruction system is composed of an acquisition unit, a modelgeneration unit, and a face reconstruction unit; and the face reconstruction system has the same beneficial effects as the face reconstruction method.
Owner:北京飞搜科技有限公司

Deep learning-based super-resolution image reconstruction method and system

InactiveCN107578377AAvoid smoothStrong super-resolution image reconstruction capabilityGeometric image transformationNeural architecturesHigh resolution imageTarget acquisition
The invention discloses a deep learning-based super-resolution image reconstruction method and system. The method comprises the steps of acquiring an image to be reconstructed and training data; inputting the training data into a multilayer convolutional neural network based on a residual structure for learning; reconstructing an optimal model acquired through input learning of the image to be reconstructed to acquire a super-resolution image. By performing deep learning through multilayer convolution based on the residual structure, the acquired optimal model can be high in super-resolution image reconstruction ability; by structuring the optimal model through a deep learning method, excessive smoothing of images acquired through an interpolation method can be avoided, and meanwhile, high-resolution images restored through the optimal model can be clear and sufficient in high-frequency details; frequency domain methods can be saved, and lack of correlation of frequency domain data canbe avoided. The deep learning-based super-resolution image reconstruction system comprises a target acquisition unit, a training unit and an image reconstruction unit and can achieve advantageous effects identical to those of the deep learning-based super-resolution image reconstruction method.
Owner:北京飞搜科技有限公司

Close hothouse loose-tobacco loading method

The invention discloses a loose tobacco filling method for a bulk curing barn, which comprises the following steps: firstly, manufacturing fixed square bars, a loose tobacco air-distributing partition board and metal contact pins, arranging a tobacco filling bracket and a fixed groove in the bulk curing barn, horizontally placing the air-distributing partition board on the tobacco filling bracket in the curing barn, and inserting the fixed square bars into the fixed groove; and loosing bundled tobacco leaves before tobacco filling, stacking the loose tobacco leaves with leaf tips upward and leaf bases downward, filling the fresh tobacco leaves into two fixed square bars tidily, then inserting the contact pins into holes of the fixed square bars to fix the tobacco leaves, and curing the tobacco leaves after the curing barn is fully filled with the tobacco leaves. The method has the following advantages: (1) the tobacco filling amount is large and is increased by 30 percent compared with a rod hanging method and increased by 10 percent compared with a loose tobacco stacking method, and the utilization rate of the curing barn is high; (2) the method saves labor and energy, saves about 70 percent of labor, and reduces coal and electricity consumption by 20 percent; (3) the method fills the tobacco tidily and reserves even gaps for the tobacco leaf bases, so the method is favorable for discharging moisture and prevent the tobacco leaves form smoothening and not stretching, and the method is easy to control the curing operation; (4) the structure is simple, and the material cost is reduced by 60 percent; and (5) the bulk curing barn is convenient to load and unload.
Owner:GUIZHOU TOBACCO SCI INST

Point cloud enhancement method based on subsection resampling and surface triangularization

The invention discloses a point cloud enhancement method based on subsection resampling and surface triangularization. The method comprises the specific steps that an input point cloud (imag file=' 2013107425845100004dest-path-image001. TIF' wi='13' he='32'/) is divided to obtain the set (img file='752571des t-path-image002. TIF' wi='37' he='24'/) of the subsets of the point cloud (img file='835430dest-path-image001. TIF' wi='13' he='32'/), each subset (img file='2012107425845100004dest-path-imag003. TIF' wi='20' he='32'/) is resampled, data noise is filtered out, and new point sets (img file='dest-path-image005. TIF' wi='23' he='32'/) which are more even in space distribution are obtained; the sets (img file='250417dest-path-image006. TIF' wi='40 he='32/) of all the resampled new point sets are combined, a new point cloud (img file='dest-path-mage007. TIF' wi='16' he='32'/) is obtained, the surface triangularization is carried out on the new point cloud (img file='114468dest-path-mage007. TIF' wi='16' he='32'/), and a triangular mesh model ((img file='397682dest-path-image008. TIF' wi='15' he='32'/) is obtained. According to the method, an environmental structure is restored accurately, and meanwhile the original edges and corners of the environment are prevented from being smoothed by mistake; different sampling densities are selected according to different model surface shape change intensity degrees, and model representation is more efficient. The point sets are projected to a two-dimensional plane to be triangulated at the part of the model, and the calculation efficiency ratio is higher than that of triangularization directly carried out in a three-dimensional space.
Owner:HANGZHOU JIAZHI TECH CO LTD

Humidification equipment for spinning

The invention discloses humidification equipment for spinning. The equipment comprises a working platform, idler wheel racks are fixedly connected to the two sides of the bottom of the working platform, and idler wheels are movably connected to the bottoms of the idler wheel racks through rotation shafts; a first supporting rack is fixedly connected to the right side of the top of the working platform, a first roller is movably connected to the top of the first supporting rack through a rotation shaft, and textiles are arranged on the bottom of the first roller; a second supporting rack is fixedly connected to the left side of the top of the working platform. According to the humidification equipment for spinning, through arrangement of a humidifier, an air outlet pipe, a control valve, abox body, a rotation rod, a gear, a toothed plate, a connection pipe, a hose, a connection rod, a sliding block, a universal ball head and a spray head, the humidification efficiency of the humidification equipment for spinning can be high, the humidification height can be adjusted, the equipment is extremely convenient to use during humidification of different textiles, the working efficiency ofusers is improved, and the equipment is beneficial to following processing of the textiles and brings economic benefits to an enterprise.
Owner:苏州旺谦纺织科技有限公司

Boiler part size detection method based on image processing

The invention relates to the technical field of size detection, in particular to a boiler part size detection method based on image processing. The method comprises the following steps: setting a sliding window to traverse an acquired top view image of a boiler grate, denoising the first window, in a window sliding process, taking a midpoint pixel point of a previous row of a target window as a reference value, constructing a reference index of the target window, and performing window-by-window filtering operation by utilizing the reference index of each target window to obtain a filtering result; obtaining a de-noised image of the top view image; edge extraction is carried out on the denoised image, continuous points in the edge are screened out, to-be-connected edge segments are obtained, and the adjacent to-be-connected edge segments are connected by using the mathematical property of a circle to obtain edge information; performing Hough circle detection on the edge information to obtain an optimal detection circle; and obtaining a characteristic index of the optimal detection circle, constructing a standard degree analysis model according to the characteristic index, and judging whether the current fire grate size is qualified or not. According to the embodiment of the invention, the accuracy of size detection can be improved.
Owner:北京与子成科技有限公司

Landscape fallen leaf centralized processing device

InactiveCN109530404AEasy to handleEfficient classification processingGas current separationSolid waste disposalEngineeringPulley
The invention discloses a landscape fallen leaf centralized processing device. The landscape fallen leaf centralized processing device comprises a box body, wherein roller frames are fixedly connectedto the two sides of the bottom of the box body, the bottoms of the roller frames are movably connected with rollers through rotating shafts, the left side of the top of the box body communicates witha feeding pipe, and the left side of the inner cavity of the box body is fixedly connected with a motor. According the landscape fallen leaf centralized processing device, the motor, a fan, a filterscreen, a storage box, pulley frames, the pulleys, a partition plate, a fixing rod, a first connecting part, a movable rod, a second connecting part, a pressing rod, a spring, a fixing plate and an L-shaped pressing plate are cooperatively used, so that the problems that a traditional garden fallen leaf processing method is low in efficiency, and garbage, soil and stones in leaves cannot be distinguished are solved; and the landscape fallen leaf centralized processing device has the advantages of being efficient in classification processing, the next step of processing the fallen leaves is facilitated, the multiple fallen leaves can be compressed, a large amount of use space is saved, and convenience is brought to users.
Owner:麻城英太利济智能物联网科技有限公司

Anti-ultraviolet environment-friendly clothes hanger and preparation method thereof

The invention discloses an anti-ultraviolet environment-friendly clothes hanger and a preparation method thereof. The clothes hanger comprises a connecting rod, a rotating rod and a center rod, and afixed block is mounted in the middle of the outer wall of the left side of the connecting rod; a hanging rod is fixed above the connecting rod; the outer side of the hanging rod is sleeved with a non-slip mat; a screw rod penetrates through the left end of the hanging rod, a handle is fixed to the top of the screw rod, the rotating rod is installed at the lower end of the connecting rod, a protective pad is installed below the rotating rod, the center rod is arranged in the protective pad, rotating shafts are connected to the lower portions of the left end and the right end of the center rod,and supporting rods are connected to the sides, away from the center rod, of the rotating shafts. In the use process, the airing angle can be rotated; the connecting rod and the hanging rod can be locked by the screw rod, so that the connection stability between the whole clothes hanger and the clothes airing rod is enhanced, the clothes hanger is effectively prevented from being blown off by strong wind, the clothes are stably fixed and are not easy to slip off, and the service life of the clothes hanger is effectively prolonged by performing anti-corrosion and anti-ultraviolet treatment on awooden material.
Owner:广西梧州日新塑料实业有限公司

Multi-layer drawer type automatic material preparation bin based on RFID technology

The invention discloses a multi-layer drawer type automatic material preparation bin based on the RFID technology. The multi-layer drawer type automatic material preparation bin comprises a processing box, wherein a material storage cavity is installed on the inner wall of the processing box, supporting plates are installed on the outer walls of the two sides of the processing box, telescopic rods are installed at the bottoms of the supporting plates, three sets of supporting slideways which are arranged at equal intervals are installed on the inner wall of the processing box and are located above the material storage cavity, supporting frames are installed at the tops of the supporting slideways in an embedded mode, a top cover is installed at the top of the processing box through bolts, and a computer device is installed on one side of the processing box and is located above the supporting plates. Through the arrangement of sensors, a worker can collect redundant wires on a first sensing line and a second sensing line to the inner side of a wire collecting box, the worker can arrange the wires conveniently, the situation that the redundant wires on the device tangle in the automobile driving process is avoided, accidents are avoided, and the driving safety is guaranteed.
Owner:亿缙机械(嘉兴)有限公司
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