461 results about "High definition" patented technology

The present invention provides an automatic focusing method, an electronic device, and a readable storage medium. The automatic focusing method comprises: using a target detection model to detect a target object in an image frame acquired at an initial focal length by an optical imaging device to be focused, so as to acquire a target object detection result; on the basis of the target object detection result, determining whether a target object is present in the image frame; if yes, determining an actual object distance on the basis of the target object detection result and the initial focal length, and on the basis of the actual object distance and a mapping relationship between the object distance and an optimal imaging focal length, determining the optimal imaging focal length; and if not, using a preset search algorithm to search for a focal length until an image having the highest definition value is found, and using a focal length corresponding to the image having the highest definition value as the optimal imaging focal length. The present invention primarily employs a deep learning-based automatic focusing method, supplemented by an image definition evaluation method. Compared with traditional passive focusing methods, the present invention greatly improves the focusing efficiency. Compared with traditional active focusing methods, the present invention eliminates a need for adding an additional optical ranging component, ensuring that the imaging device has a simple structure and a low cost.

A navigation method and apparatus, and an intelligent driving device are provided. The method includes: determining a lane-level topology of a road between a current location and a target location of an intelligent driving device based on a road-level topology and a lane quantity; determining a feasibility of each lane-level path of at least two lane-level paths from the current location to the target location based on the lane-level topology; and generating first navigation information based on a current lane in which the intelligent driving device is located and the feasibility of each lane-level path, where the first navigation information indicates a first lane-level path from the current location to the target location. The method may be applied to intelligent driving devices like new energy vehicles or electric vehicles, enabling lane-level navigation without a high definition map, improving navigation precision.

The invention discloses an ultrahigh-definition panoramic image adaptive HDR fusion method based on data driving, and relates to the technical field of digital image processing, and the method comprises the steps: carrying out the coarse alignment and high dynamic range fusion of a low-resolution line graph sequence, and generating a low-resolution HDR panoramic image; carrying out sharpening processing on the low-resolution HDR panoramic image to obtain a low-resolution sharpened HDR image, and meanwhile, obtaining a multi-scale residual spectrum generated by sharpening; performing up-sampling on the multi-scale residual spectrum, and performing small-sample element learning fine tuning on the weight prediction network in combination with the low-resolution sharpened HDR graph to obtain a fine-tuned weight prediction network; performing weight prediction and layer-by-layer fusion on the registered high-resolution tile sequence on a multi-scale pyramid based on a fine tuning weight prediction network model; according to the method, the sharpening processing is implemented on the low-resolution HDR panorama, and the multi-scale residual spectrum is extracted, so that the detail sensitivity and adaptability in a complex scene are improved.

A lighting device for a motor vehicle, in particular a high-definition headlamp, includes an imaging component that has an active surface on which light-emitting diodes or laser diodes are arranged in a matrix to generate pixels in a light distribution in a targeted manner, and a projection lens with which the light emitted from the active surface is projected outward from the motor vehicle when the lighting device is in operation. The lighting device is designed to switch the projection lens from a first setting to a second and from the second setting to the first. The projection lens has a first focal length in the first setting, and a second focal length in the second setting, which is greater than the first focal length.

The invention discloses a ship detection data set construction method based on unity, and the method is specifically implemented according to the following steps: step 1, creating a unity High Definition 3D project, and generating a unity WaterSurface water system in the project; 2, a ship model obtained through autonomous modeling or obtained from a network is imported into the unity WaterSurface water system in the step 1, and the ship model is adjusted to be located at a reasonable position; and step 3, a ship video picture is obtained in a screen recording or screenshot mode, a ship data set is enriched in a mode of adjusting ocean colors and illumination conditions and replacing a ship model, and a plurality of labels are adopted to meet detection requirements of special ships. The problems that in the prior art, a traditional real data set in a ship data set is difficult to collect, angles are incomplete, scene coverage is insufficient, and marking is difficult are solved.

The invention relates to the technical field of coal mining, in particular to a coal-rock interface detection device based on image recognition. According to the technical scheme, the coal rock interface detection device based on image recognition comprises a detection device body, an image recognition probe, a signal receiving module, an image analysis module, a positioning module and a mounting mechanism, the image recognition probe is arranged at one end of the detection device body, and the signal receiving module is arranged on the top face of the image recognition probe; according to the invention, the multi-modal image acquisition module, the integrated adaptive light source control unit, the multi-spectral imaging unit and the mechanical anti-shake unit are designed, and the adaptive light source can dynamically adjust the brightness according to the ambient light, so that the imaging stability is ensured; according to multispectral imaging, visible light and infrared data are synchronously collected, wave bands are switched in combination with an optical filter wheel disc, the coal rock interface spectral feature recognition capacity is remarkably enhanced, the device can still obtain high-definition and multi-dimensional images in the complex underground environment, and a reliable data basis is provided for subsequent analysis.

Provided are methods for high definition map fusions for 3D object detection. Some methods described also include obtaining, with at least one processor, raster maps, vector maps, and point cloud data and extracting, with the at least one processor, features from the raster maps, vector maps, and point cloud data to generate respective bird's eye view (BEV) representations. The methods also include fusing, with the at least one processor, the BEV representation of the raster map features, the BEV representation of the vector map features, and the BEV representation of the point cloud features into a fused BEV image. Additionally, the methods include detecting, with the at least one processor, objects in the fused BEV image. Systems and computer program products are also provided.

The invention discloses a grayscale image translation motion blur recovery method and system based on optical flow guidance, and belongs to the technical field of image processing. A target area is determined based on a video stream H; calculating a translational motion vector field matrix between every two adjacent frames in the video stream H by adopting an optical flow method, obtaining a translational motion vector located in a target area, further constructing a track representation matrix for reflecting a motion track of a motion target generating translational motion, normalizing the track representation matrix to serve as a blurring kernel, and obtaining a motion vector field matrix; and translational motion blur of the target area is removed in a targeted manner. According to the method, the high-density time sampling information provided by the video stream H with the high frame rate and the low signal-to-noise ratio is utilized, and the complex translational motion track of the blurred image B with the low frame rate and the high signal-to-noise ratio in the exposure period can be accurately captured. The fuzzy kernel synthesized based on the accurate translational motion trails can highly approach a real physical fuzzy process, and an image with a high signal-to-noise ratio and high definition can be reconstructed.

A high-definition lamp unit contains a plurality of individually controllable pixels, and emits lamp beam having light distribution corresponding to states of the pixels. A first sensor is provided to enable detection of a dynamic component of a pitch angle of a traveling vehicle body. A controller shifts the level of a cut-off line CL of the light distribution up and down, corresponding to the dynamic component of the pitch angle of the vehicle body, with reference to a predetermined level defined as a base.

The invention provides an endoscopic image enhancement method and system, and relates to the technical field of medical image processing. The method comprises the steps that an endoscope image enhancement model composed of a local sensing network, a global color mapping network and a fusion network is constructed, details of a low-quality image are extracted through the local sensing network, colors of a high-quality image are learned through the global color mapping network, two-way features are integrated through the fusion network, and an endoscope enhancement image is output; and generating total loss through the total loss function to optimize the endoscope image enhancement model so as to output an endoscope image with high definition and real color. An end-to-end lightweight network is adopted, unified enhancement of extreme illumination coexistence scenes is completed at a time, and the visual consistency and diagnosis reliability of gastrointestinal endoscopic images are remarkably improved.

The invention relates to the technical field of data line performance testing, in particular to a data line tensile property testing device and method. The data line tensile property testing device comprises a base, a static clamp, a linear guide rail, a driving mechanism, a sliding platform, a force value sensor, a dynamic clamp, a displacement sensor and a visual inspection mechanism. The device is used for continuously recording the whole stretching test process, real-time visual recording of the apparent deformation and damage process of the data line is achieved, the defect that process monitoring is incomplete is overcome, meanwhile, after the test is finished, the height of the annular mounting frame is adjusted through the position adjusting assembly, and the measurement accuracy is improved. According to the method, the high-resolution area-array camera is close to the failure part of the data line, so that a high-definition image is obtained, a data basis is provided for three-dimensional reconstruction by adopting a photogrammetry or stereoscopic vision algorithm, high-precision three-dimensional shape analysis of the failure part of the data line is realized, and the problem of inaccurate analysis is solved.

The invention discloses a tea processing quality real-time monitoring system and monitoring method based on machine vision, and relates to the technical field of tea processing quality monitoring. According to the method, tea processing images are continuously collected from multiple angles, color, shape and texture changes of tea are comprehensively captured, the images are preprocessed by using an advanced denoising algorithm, the definition and accuracy are improved, high-quality data are provided for subsequent feature extraction, the problems that traditional monitoring information is not completely acquired and subjective judgment errors are large are effectively solved, and the method is suitable for large-scale popularization and application. The monitoring accuracy and reliability are improved; meanwhile, environment data and dynamic feature vectors extracted by a convolutional neural network are fused, the fermentation degree, the drying effect and other quality indexes are accurately analyzed, a parameter adjusting module intelligently judges the processing process deviation and adjusts parameters in real time, the processing stability and consistency are ensured, and the processing efficiency is improved. The problems that traditional monitoring lacks real-time performance and predictability and is difficult to adjust in time are solved, and quality monitoring, regulation and control in the tea leaf processing process are achieved.

The pole piece defect detection method comprises the following steps: irradiating a to-be-detected pole piece by adopting a preset light source, and carrying out image acquisition on the to-be-detected pole piece through image acquisition equipment to obtain an original image of the to-be-detected pole piece; preprocessing the original image to obtain a preprocessed image; wherein the preprocessing comprises at least one of cutting processing, denoising processing, image enhancement processing and normalization processing; and detecting the preprocessed image according to a preset defect detection model to obtain a target defect of the to-be-detected pole piece. According to the method, the high-precision image acquisition equipment is matched with the special light source lighting system to capture the pole piece edge image with extremely high definition, and the burr characteristics in the image are automatically identified through the preset defect detection model, so that efficient detection is realized, the omission ratio and the misjudgment rate are greatly reduced, and the detection efficiency is improved. And the detection stability and reliability are obviously improved.

The application provides an image deblurring processing method, relates to the field of Internet of Vehicles and the field of artificial intelligence technology, and comprises the following steps: performing cascade coding processing on a first image based on M scales, and sequentially obtaining M scale coding images; performing cascade refining processing on the second scale coding image to the M scale coding image based on N scales, and sequentially obtaining N scale refining images; performing cascade decoding processing on the second scale coding image to the M scale coding image and the N scale refining image based on N scales, and sequentially obtaining N scale decoding images; and performing image prediction processing on the first scale coding image, the N scale decoding image in the N scale decoding image of the N scale decoding image, and the N scale refining image in the N scale refining image of the N scale refining image, so as to obtain a second image with higher definition than the first image. Through the application, the deblurring effect of multimedia images can be significantly improved.

The utility model relates to a large-target-surface long-focal-length two-variable high-definition zoom lens, which comprises a lens, and an optical system of the lens comprises a front fixed lens group, a zoom lens group, a compensating lens group and a rear fixed lens group which are sequentially arranged from left to right along a light incidence direction. According to the utility model, the design is reasonable, a continuous zoom closed-loop control function, a focusing closed-loop control function, a focal length feedback function and an image output function are realized, large-range searching and tracking camera shooting can be carried out on targets with far and near distances and high-speed movement, and the system is applied to scenes with requirements such as unmanned monitoring, early warning, marginal and coast defense and the like.

This invention discloses a high-definition lens, comprising a first lens, a first cemented lens group, an aperture stop, a fourth lens, and a fifth lens arranged sequentially from the object plane to the image plane; wherein the first lens and the fourth lens have negative optical power; the first cemented lens group and the fifth lens have positive optical power, and the fifth lens has a biconvex structure; the focal length of the lens is f, and the focal length of the first cemented lens group is f. U1 f U1 The following relationship exists between f and f: 0.35 < |f U1 / f|<0.90. The lens formed by this invention is not only compact and economical, but also ensures high imaging resolution, small aperture and low distortion, which can meet the needs of industrial applications and has great market prospects and economic value.

The utility model belongs to the field of fire fighting equipment discloses a kind of disparity-free infrared thermal imaging fire helmet of application AR screen display, including fire helmet main body and the protective shell connected in the front of helmet by damping pivot.The protective shell is integrated with infrared camera, visible light camera and binocular AR display screen located in the same horizontal line, and completely eliminates parallax.It also includes data processing module and battery module fixed on helmet, and data processing module has double light fusion, wireless transmission and beidou positioning function.The shell of key component adopts double-layer vacuum heat insulation design, and can resist 260 DEG C high temperature.The utility model liberates firefighter's both hands, realizes disparity-free, high-definition thermal imaging observation, improves fire scene investigation efficiency and rescue safety, and environmental adaptability is stronger.

The utility model discloses a high definition interactive fusion type set top box, it includes PON module, DVB module, optical communication module, first interface module, network state indicating lamp, first memory, second interface module, power indicating lamp and second memory, PON module and DVB module pass through internal PHY communication circuit communication, integration in a equipment, optical communication module, first interface module, network state indicating lamp and first memory all are connected to PON module, and second interface module, power indicating lamp and second memory all are connected to DVB module, PON module adopts the chip of RTL9603C type and realizes, DVB module adopts the chip of MC2416 type and realizes, the high definition interactive fusion type set top box of the utility model, through with PON module and DVB module integration in a equipment, and together through internal PHY layer connection, has improved operating speed, has improved user experience and reduced user cost.

A three-dimensional printer (3DP) or 3D printing system, including additive manufacturing (AM) systems, employing multiple bandgaps and / or multiple spectrums / multiple wavelengths to enable a controlled vertical cure-depth / polymerization via photoinitiator activation of a singular resin composition for high definition micro-printing at an accelerated rate. The invention enables a dynamic range of layers 10-1000× for macro and micro features. This in turn enables faster printing speeds without fidelity and tolerance losses typically experienced. The system of resin, a 3D printing platform, and accompanying computer controlled algorithms, can be used for the fabrication and creation of macro and microdevices via a wide range of ultraviolet photoinitiated materials.

The invention provides a three-dimensional depth estimation method based on pulse streams, and belongs to the technical field of three-dimensional computer vision and neuromorphic imaging. The method comprises the following steps: (1) constructing a training and testing data set of a synthetic pulse stream; (2) constructing a pulse stream data set of a real scene; (3) constructing a three-dimensional depth estimation network model based on the pulse flow; (4) training a three-dimensional depth estimation network model based on the pulse flow; and (5) performing depth prediction by adopting the trained pulse stream-based stereo depth estimation network model. According to the invention, depth estimation can be directly carried out from the original pulse stream data, and a high-definition depth image is obtained without sequence framing or other post-processing; compared with an existing method, the method has better interpretability and higher prediction precision under a pulse flow data test set through iterative updating of the multi-layer and multi-scale cyclic pulse neural network and an algorithm of the pulse neural network.

The utility model relates to a magnification display device, belongs to the technical field of optical imaging, and particularly relates to a desktop optical imaging magnification display device which comprises a support, a storage barrel and a limiting sliding barrel are fixedly mounted on the surface of the support, a threaded rod is slidably mounted in the storage barrel, a mounting block is fixedly mounted at the end of the threaded rod, and the limiting sliding barrel is fixedly mounted in the mounting block. An imaging assembly is also included; according to the utility model, the effect of obtaining a non-deformation and high-definition magnified picture by using the two lenses easy to process is achieved, and the problems that although a magnified imaging effect can be achieved in the prior art, the height of the imaging device cannot be adjusted, the height of the imaging device cannot be effectively adjusted for users with different body types and heights, and the imaging effect is poor are solved. And the use effect is poor.

The invention relates to a carrier film for a high-resolution photosensitive dry film, the carrier film comprises a surface coating layer, an upper PETG layer, a middle COC layer, a lower PETG layer and a bottom coating layer which are sequentially distributed from top to bottom, and the carrier film is prepared by the following steps: carrying out melt extrusion on COC by using a single-screw extruder, carrying out melt extrusion on PETG by using a twin-screw extruder, and carrying out melt extrusion on PETG by using a twin-screw extruder. The three layers of melts converge at a die head to form a casting piece, and the casting piece is longitudinally stretched and transversely stretched to obtain the carrier film for the ultra-high-definition and low-haze high-resolution photosensitive dry film. The carrier film is a PETG / COC / PETG composite film, the optical performance advantage of COC is exerted, and meanwhile the film is endowed with good mechanical performance through PETG.

The application discloses a light-weight tunnel apparent disease intelligent detection device and method capable of conveniently switching a carrying platform. Through highly integrated light-weight, convenient and modular design, the application can be conveniently switched on different carrying platforms to meet the mobile detection requirements of different types of tunnels. The laser light source is combined with the linear array camera to avoid the defects of the traditional LED linear array light source, such as serious scattering at a long distance, the need for a large power to meet the requirements, the improvement of the effective light source efficiency, the reduction of the number and power of the light source equipment, the reduction of power consumption, and the guarantee of meeting the equipment use requirements with a small UPS power supply. The laser light supplementing and condensing effect is good, and the camera can shoot at a lower shutter speed, which can not only reduce the trailing effect caused by shooting in a moving state and improve the definition, but also enable the camera to adopt a higher shooting line frequency and improve the overall moving speed of the equipment.

The application discloses a kind of video high definition key frame extraction methods of effective target of substation panel, and extraction method steps include step one is based on Shi-Tomasi rectangular corner point algorithm Angle detection, identify the feature corner point at the junction of target panel frame profile and filter out the corner point capable of determining position.Step two is tracked to the feature corner point by straight line test using improved L-K optical flow method, with the mutation of feature corner point number as criterion, based on equal time interval collection method, extract the complete panel slow-moving first clear frame.Step three is based on feature corner point and carry out hierarchical nested cutting on the effective area on first clear key frame, hierarchical nested cutting effective rectangular area, carry out second clear frame screening to the same effective area.The key frame of the present application is extracted effectively, which has less redundancy and summarizes video content, and solves the shortcomings of data redundancy in traditional process monitoring.

An additional teleconverter lens of a mobile phone comprises seven lenses. The first lens R1 is equal to 28.5 to 29.5, and the second lens R2 is equal to 95.5 to 96.5; the second lens R1 is equal to infinity, and R2 is equal to 42-43; the R1 of the third lens ranges from 19.5 to 20.5, and the R2 of the third lens ranges from 109.5 to 110.5; a fourth lens R1 is equal to 109.5 to 110.5, and R2 is equal to 15 to 16; a fifth lens R1 is equal to 15 to 16, and R2 is equal to 199.5 to 200.5; the sixth lens R1 is equal to 31.5 to 32.5, and the sixth lens R2 is equal to 10 to 11; and the seventh lens R1 is equal to 17 to 18, and R2 is equal to 64 to 65. The additional teleconverter lens of the mobile phone is high in definition when the mobile phone is matched with an external lens to shoot remote portraits.

The utility model discloses an angle adjustable portable high definition projector support, including the prop, the top fixed connection of prop has the support seat, the middle end of support seat is rotatably connected with the rotary frame through the bearing, the top fixed connection of rotary frame has the support platform, the lower extreme sliding connection of prop has the movable sleeve, the lower extreme of movable sleeve is hinged with the support with the pin shaft, the number of support is three, the bottom fixed connection of prop has the fixed seat. The utility model discloses the setting of support platform, rotary frame, support seat and prop, and the personnel is convenient to support and use high definition projector during the period of camping outdoors, through the setting of movable sleeve, support, draw -in pole and fixed seat, under the action of personnel and push movable sleeve, can make three groups of support and draw -in pole and expand to the outside, and can form three -point support below the prop, reduce the probability of dumping during the whole use.

The embodiment of the invention provides an imaging method and device, electronic equipment and a medium, and is used for solving the problem that a full-color imaging partial region is fuzzy under the condition of no light supplement in the related technology. According to the embodiment of the invention, the image sensor is provided with a plurality of optical filters with different thicknesses, and the optical filters with different thicknesses can improve the definition of the areas where the objects with different object distances collected in the image are located, so that the objects with different distances can present clearer details in the multi-frame image. Moreover, after the collection instruction is received, the image collection equipment correspondingly adjusts the focusing parameters of the image collection equipment according to the optical filters with different thicknesses to ensure that each optical filter can work in the corresponding optimal focusing state, and in this way, the image collection equipment can collect multiple frames of images, so that the image collection efficiency is improved. Part of the area in each frame of image has high definition. And fusion processing is carried out on the clear areas in the collected multiple frames of images, so that an overall clear target image can be obtained.

The invention discloses an image processing method, electronic equipment and a computer readable storage medium, and belongs to the technical field of image processing. The method comprises the steps that a first face analysis graph of a to-be-enhanced image and a second face analysis graph of a reference image are acquired, the definition of the reference image meets a preset image definition condition, and the to-be-enhanced image and the reference image both comprise a first shooting object; determining a first affine transformation matrix for converting the second face analysis graph into the first face analysis graph; acquiring a first contour feature of the reference image; performing affine transformation on the first contour feature according to the first affine transformation matrix to obtain a second contour feature; and obtaining an enhanced image according to the second contour feature, the to-be-enhanced image and the face enhancement model, the definition of the face region in the enhanced image being greater than the definition of the to-be-enhanced image. The second contour feature carries the feature of the image with high definition in the reference image, so that the trueness and definition of the enhanced image can be improved, and the quality of the image is improved.

The utility model discloses an electric visual explosive ordnance disposal mechanical claw, including support frame, the rear end of support frame is equipped with electric drive module, the upper end of support frame is equipped with high definition infrared night vision camera, the inside transmission of support frame is connected with the threaded rod, the front end of electric drive module is equipped with first gear and second gear, and the first gear and second gear are engaged. The utility model discloses through electric drive module drive first gear and second gear meshing rotation, thereby makes support frame whole rotation, realizes claw body electric 360 degrees all -round rotation, adjusts dangerous goods clamping posture at will, adapts complex scene explosive ordnance disposal operation, cooperates high definition infrared night vision camera, supports daytime, night, low light full -time high definition monitoring of environment, follows claw body synchronous rotation blind area, and the flexible palm face adopts buckle quick -mounting knot, and the plane, arc palm face can be replaced fast with bare hands, and one -key dismounting, and with replacement, use, and the efficiency of emergency explosive ordnance disposal operation is greatly improved.