62 results about "Vision enhancement" patented technology

The invention discloses an equipment micro-vibration real-time monitoring method and system based on visual enhancement, and belongs to the field of equipment micro-vibration monitoring, and the method comprises the following steps: S1, collecting a high-frame-rate video, and recording collection parameters in real time; s2, constructing a Gaussian pyramid, constructing a Laplacian pyramid through adjacent layer image difference of the Gaussian pyramid, and decomposing the collected video into different spatial frequency bands; s3, designing a band-pass filter to extract a specific frequency band where the equipment vibration signal is located, and enhancing and reconstructing the micro vibration signal; s4, carrying out region selection from the enhanced image frame, calculating an optical flow in a selected region through an optical flow method, and extracting a characteristic frequency of vibration; and S5, performing data visualization, and generating a vibration signal image in real time to display the motion characteristics of the target area. According to the invention, the problems of insufficient sensitivity and poor real-time performance of small vibration detection of equipment in a traditional vibration monitoring method can be solved.

The invention relates to the technical field of robots, and discloses a collision early warning method and device in robot teleoperation, and the method comprises the steps: obtaining the visual information of the working environment of a remote robot and the motion state data of an end effector; environment three-dimensional modeling is carried out based on visual information, a three-dimensional environment model containing obstacles is generated, and a virtual protection area surrounding an end effector is dynamically generated based on end speed parameters in motion state data and system communication processing time delay; wherein the spatial range of the virtual protection area is expanded along with the increase of the terminal speed and the system communication processing time delay; performing collision risk assessment on the virtual protection area and an obstacle in the three-dimensional environment model to obtain a current collision risk level; and generating early warning information based on the collision risk level, and outputting a vision enhancement image through an operator terminal to guide an operator to avoid the collision risk based on the early warning information. According to the invention, the teleoperation safety can be improved.

The invention relates to the technical field of intelligent ship driving, and discloses an intelligent ship driving assistance system based on multi-source information fusion and AI decision, which comprises a multi-source information acquisition module, an information data processing module, an information fusion processing module, an AI decision calculation module and a man-machine interaction module, according to the ship intelligent driving assistance system based on multi-source information fusion and AI decision making, perception blind areas of scenes with low visibility and the like are eliminated through a multi-source information collection and vision enhancement technology, and a target is accurately recognized; through data processing and three-level fusion, multi-source information is efficiently integrated, and the manual analysis pressure is reduced; the AI decision calculation module provides accurate guarantee for berthing, stranding, collision avoidance and other scenes, and accident risks are reduced; the system can also optimize the route and speed in combination with data such as weather, reduce energy consumption, shorten the navigation time, take into account the safety and economy of ship driving, and greatly improve the intelligent level of shipping.

The invention discloses a robot wavelet transform vision enhancement method in a low-light environment, which comprises the following steps: acquiring a low-light image as an input image model for input, and performing HSV conversion to obtain roughly enhanced images with different brightness; the input image and the roughly enhanced image are spliced according to a channel and then generate illumination mapping through a convolutional layer, and meanwhile, the image is input into a noise estimation and denoising module to generate a noise feature graph and input into a detail recovery module to extract high-frequency information; multiplying the input image by the illumination mapping element by element to generate a primary brightness enhanced image; a feature map is extracted from the preliminary brightness enhanced image through a convolutional layer, the preliminary brightness enhanced image enters a multi-layer wavelet transform module for wavelet transform, high-frequency information is fused into wavelet transform, and a noise estimation and denoising module is used for denoising the feature map after wavelet transform under the guidance of a noise feature map; and the de-noised feature map is subjected to upper convolution inverse wavelet transform on the multilayer wavelet transform module to integrate image information layer by layer and recombine, and after the recombined image is de-noised by the noise estimation de-noising module, a final enhanced image is obtained through a convolution layer.

The invention discloses a multi-target vision enhancement tracking method and system for an airport flying area, and relates to the technical field of computer vision and artificial intelligence. The method comprises the following steps: performing target detection on a current frame to obtain detection features; accessing a historical track feature library, fusing the appearance of the historical target and the historical motion sequence, and generating enhanced track context features; using a decoder based on an attention mechanism to perform cross-frame association decoding on the current detection features as queries and the enhanced track context features to generate an identity association scoring matrix; and carrying out optimal matching and decision making based on the scoring matrix, completing track updating, new registration and loss elimination, and obtaining a tracking result. According to the method, through end-to-end depth correlation and time sequence feature modeling, the problems of tracking interruption and identity switching caused by target shielding, similar appearance and complex motion in a complex scene of an airport are effectively solved, and the tracking robustness and identity consistency are remarkably improved.

The invention relates to the technical field of vision enhancement, in particular to an underwater robot adaptive vision enhancement system based on multi-modal feature fusion. Analyzing the sludge image to obtain sludge brightness distribution, and performing illumination equalization optimization to obtain an equalization image; performing texture analysis on the balanced image, evaluating the structural complexity of the sludge, configuring an underwater dark channel prior algorithm, and performing analysis to obtain an ambient light vector and an initial transmissivity graph; constructing a scattering optimization model according to the structural complexity, and optimizing the initial transmissivity graph to obtain an optimized transmissivity graph; performing imaging inverse operation according to the balanced image, the optimized transmissivity image and the ambient light vector to obtain a scattering-removed image; expanding the ambient light vector into an ambient light layer, and identifying the scattering-removed image and the ambient light layer through a color restoration model to obtain a candidate restoration image; recognizing the de-scattering image through a color classification network to obtain a sludge color probability graph; and according to the sludge color probability graph, carrying out weighted fusion on the candidate restoration image to obtain a color calibration image.

The utility model belongs to the technical field of vision improvement equipment, and particularly provides a vision training instrument which comprises a shell, a display module and a functional component, a window is formed in one side of the shell, the display module is arranged in the shell and corresponds to the window, the functional component is arranged on the side, provided with the window, of the shell, and the functional component comprises massage protrusions and conductive parts. And the conductive piece can collect eye muscle bioelectric current. The eyes are aligned with the window of the shell, the functional assembly is in contact with the parts around the eyes, a user can carry out visual training by observing an image presented by the display module, the massage protrusions can massage eye muscles, and the conductive piece can collect eye muscle bioelectric current to monitor the eye condition. According to the visual training instrument provided by the invention, recovery training is carried out on vision from different aspects by integrating multiple functions, so that the purpose of enhancing the visual training effect is achieved.

The utility model relates to the field of traffic safety facilities, and discloses a fixed vision-enhanced anti-collision guide device, which comprises an anti-collision device body, and is characterized in that the anti-collision device body comprises a barrel body, a guide lamp belt, a solar panel, a direction indicating plate, a fixing component and a water (sand) injection / drainage port; the guide lamp belts are located in front of and on the side of the barrel body respectively, the solar panel is located above the barrel body, the direction indicating plate is located behind the barrel body and higher than the barrel body, the fixing assembly is located behind the barrel body, the water (sand) injection port is located above the anti-collision device, and the water (sand) outlet port is located on the lower portion of the side of the anti-collision device. The anti-collision device has the following beneficial effects that the first part and the second part of the guide lamp strip mounted on the barrel body of the anti-collision device can play a role in guiding and warning in severe weather such as rain and fog, and the third part of the guide lamp strip is used as an auxiliary low-position lighting facility at night, so that a good visual condition is provided for a driver. The anti-collision device is combined with the concrete pier on the road through the fixing assembly on the rear portion, the original position can be still kept when the vehicle collides with the anti-collision device, and secondary damage to other traffic participants is avoided.

The invention provides a vehicle vision enhancement method and device, and relates to the technical field of dynamic video processing. Comprising the steps of obtaining a low-light image and an infrared image around a vehicle; performing de-noising enhancement processing on the low-light image to obtain a de-noised and enhanced low-light image; respectively carrying out distortion correction processing on the low-light image after denoising enhancement and the infrared image to obtain a low-light image after distortion correction and an infrared image after distortion correction; performing heterogenous matching on the low-light image after distortion correction and the infrared image after distortion correction to obtain a matched image pair; performing fusion enhancement processing on the matched image pair to obtain a fusion enhanced image; and performing panoramic stitching processing on the fusion enhanced image, and outputting a 360-degree panoramic image. And the low-light image quality is optimized, and precise fusion and seamless panoramic stitching of different-source images are realized.

The application discloses a kind of unmanned plane vision enhancement system and method based on binocular rotating polarizer, it is related to computer vision and optical imaging technical field, system includes binocular camera module, rotatable polarizer assembly that can be integrally moved into / out of optical path, mechanism for driving its lifting and rotation and main control unit.The method comprises: after moving polarizer into optical path, in a single acquisition cycle, it is driven to rotate at high speed to multiple preset angles and synchronously acquires binocular image sequence;Process image sequence to calculate Stokes parameters and construct three-dimensional polarization feature space in combination with depth information;The feature space is input into multimodal fusion neural network with original image, and enhanced image, semantic segmentation map and optimized depth map are output.The application realizes the quick and flexible switching of polarization mode and ordinary vision mode, and significantly improves the real-time vision perception and enhancement capability of unmanned plane in underwater, strong reflection and other complex environments through software and hardware depth collaboration.

This invention discloses a method and system for visual enhancement of underwater robots in turbid waters, relating to the fields of machine vision and image restoration technology. The method includes: acquiring a sequence of original color images collected in real-time by the underwater robot; mapping the pixel intensity of the original color image sequence to a complex space to construct a complex domain analytic signal; extracting the multi-directional spatial gradient tensor of the original color image, and calculating pseudo-polarization information and environmental characterization parameters accordingly; constructing a virtual phase compensation operator using the pseudo-polarization information and the environmental characterization parameters; wherein the pseudo-polarization information drives the compensation intensity of the virtual phase compensation operator, and the environmental characterization parameters are used to locally weight the compensation intensity. Its beneficial effects include: correcting edge blurring and texture obfuscation caused by wavefront phase disturbances, and significantly improving the edge steepness of structural contours in the image.

The present disclosure relates to cantilevered and divergent view wearable optical systems that redirect an optical path, and provide for optimal ergonomics coupled with vision enhancement and vision magnification. Methods of use, devices, and kits are also contemplated.

The invention is applicable to the technical field of safe driving assistance, and provides a driving assistance light control system and method based on multispectral vision enhancement, and the driving assistance light control system comprises a camera, a T-box, a vehicle-mounted intelligent computing platform, a microcontroller, a near-infrared LED control module, a near-infrared LED array and an RGB programmable LED lamp strip. On the basis of keeping the original lighting function of the vehicle-mounted atmosphere lamp, the system can effectively improve the fatigue degree during driving, reduce the driving fatigue value, delay the arrival of a fatigue surge moment, prolong the waking time and prolong the safe driving duration by adjusting lamplight on the basis of a physiological phototherapy mechanism.

The invention discloses a color image vision enhancement method. The method comprises the following steps: acquiring an original color image and separating three color components; a Laplace operator is used to sharpen each component image, a Sobel operator is used to extract horizontal and vertical gradients respectively, the gradients are transformed based on a Gaussian function and normalization processing is completed, natural logarithm operation is carried out on an original component image and a normalized gradient image respectively, two obtained logarithm domain images are added and then exponent recovery is carried out, and a final component image is obtained. Restoring the component image to a gray domain, and performing Sigmoid function transformation on the restored component image; and calculating the global maximum and minimum values of the Sigmoid enhanced images of the three component images, performing linear stretching, and finally combining the stretched color component images to obtain a visual enhanced color image. According to the invention, the permeability of the color image can be improved, the brightness of the color image under the condition of low illumination can be improved, and the color effect matched with the visual habit of human eyes can be kept.

The present application relates to the field of industrial vision enhancement, more specifically, it relates to an underwater image enhancement method based on Transformer and multi-scale spatial domain feature fusion, the present application introduces the mechanism of Transformer, uses self-attention and linear attention mechanism to capture the complex spatial relationship in the image and improve the image quality, at the same time, the multi-scale feature convolution module is designed to extract information of different scales and levels, which can reduce the complexity of the network and improve the calculation efficiency, in addition, an air domain feature fusion module is designed to calculate the attention in the local neighborhood of pixels, thereby improving the calculation efficiency and feature fusion, the method has the advantages of good generalization ability, high robustness and high enhancement efficiency, and can be widely applied in underwater pipeline detection and maintenance, underwater environment monitoring, underwater biological research and other fields, and provides strong support for scientific research and engineering practice in related fields.

The invention discloses a landslide identification method based on multi-source remote sensing image fusion, and relates to the technical field of remote sensing image processing, and the method comprises the steps: selecting a multi-source remote sensing image, constructing a vectorization label, and obtaining binary label data through the vectorization label; cutting the multi-source remote sensing image and the binary tag data by using a sliding window, and processing the multi-source remote sensing image and the binary tag data by using a computer vision enhancement technology; based on a MiT architecture, constructing a landslide intelligent identification model; performing prediction by using an ignoring edge prediction method, and obtaining a multi-source remote sensing image recognition result according to a prediction result; and defining geographic space coordinates according to a multi-source remote sensing image recognition result, and executing binary tag vectorization to obtain a landslide vector tag. According to the method, details and shape features of the landslide can be better captured, and the identification capability of the landslide intelligent identification model on landslides under different landform and landform conditions can be remarkably improved.

The invention discloses a handheld vision enhancement detection device which comprises a shell, the shell comprises a handheld part and a detection part, the handheld part is fixedly connected with the side face of the detection part, a display screen and operation buttons are fixedly arranged on the front face of the detection part, and a laser transmitter lens and a visible light lens are fixedly arranged on the rear face of the detection part. A high-sensitivity camera, a laser transmitter and a control circuit are fixedly arranged in the detection part, a lens of the high-sensitivity camera faces the visible light lens, a transmitting end of the laser transmitter faces a lens of the laser transmitter, a power button is arranged at the position, close to the detection part, behind the handheld part, and a focal length adjusting button is arranged on the side face, connected with the handheld part, of the detection part. According to the handheld vision enhancement detection device, the active laser light source is combined with the high-speed imaging technology of the high-sensitivity camera, the imaging quality and the response speed of the handheld vision enhancement detection device in a complex environment are improved, the environmental adaptability of the handheld vision enhancement detection device is enhanced, and the requirements of emergency, search and rescue, detection, important place protection and the like in the ship industry can be met.

The present invention relates to the field of underwater photography and discloses a multi-source heterogeneous vision enhancement camera device for diving photography equipment, comprising a shell, a connector provided on one side of the shell, a hollow structure inside the shell, and a transparent plastic light-transmitting cover installed on one side of the shell. The multi-source heterogeneous vision enhancement camera device for diving photography equipment can freely add an underwater photography fill light, and the searchlight can be firmly connected to the original equipment and the device to ensure the safety of the equipment.

Binocular optoelectronic eyewear instrument for the vision enhancement of both eyes and vision enhancement method. The instrument comprises: - at least one phase modulator (15, 16, 27, 28) for the wavefront manipulation of both eye pupils, for performing the vision correction of the eye aberrations, - a binocular assembly of optical components for the light relay from entrance pupils (05, 06) to exit pupils (07, 08), - a processing module (30) for communication, control, and computations, and - at least one image capture device (09, 10). The associated method involves the generation and relay of phase profiles for binocular vision correction of eye aberrations, image capture and tracking of both eye pupils, as well as computations, control, connectivity, and operation of the instrument.

The invention relates to the technical field of vision correction instruments, and provides a movable multi-light-source teenager vision correction instrument which comprises two parallel installation cylinders, sleeve frames are fixedly connected to the two ends of the two installation cylinders, and the two sleeve frames at the same end are rotationally connected through a damping shaft; light training modules are arranged on the inner sides of the two mounting cylinders and comprise fixed frames fixedly connected to the inner sides of the mounting cylinders, movable frames are slidably connected to the inner sides of the fixed frames, LED light assemblies are arranged at one ends of the movable frames, and driving parts used for driving the movable frames to slide in the axis directions of the mounting cylinders are arranged on the inner sides of the fixed frames; a control module electrically connected with the LED lamplight assembly and the driving piece is arranged on the inner side of the sleeve frame. By setting three modes of visual tracking, visual function and vision enhancement training for different vision defects, the problems of fixed light source, single-color stimulation, single training mode and the like in the existing vision correction equipment are solved.

System and method for operating a vehicle. A gaze sensor receives an image of the driver's face. An environment sensor receives environmental data relating to an environmental state and a distant object, a human-machine interface, and a processor. The processor is configured to receive a user profile for the driver, where the user profile specifies a visible area and a blind spot in the driver's field of vision; to determine the driver's gaze state from the image; to determine the location of the distant object from the environmental data; to analyze the gaze state and the environmental data to determine that a distant object is in the driver's blind spot; and, at the human-machine interface, to execute a corrective action to improve the visibility of the distant object in the blind spot.

The invention discloses an intelligent cultivation and energy-saving collection system for annona squamosa based on machine vision. The intelligent cultivation and energy-saving collection system comprises an orchard vision module, an individual vision module, a control module, an auxiliary module, a central processing module and a communication module, wherein the orchard vision module is combined with ground fixed camera equipment and a control unmanned aerial vehicle to realize accurate positioning and three-dimensional reconstruction of the annona squamosa orchard; through a target detection algorithm, the individual vision module not only can confirm the optimal picking opportunity, but also can intelligently diagnose diseases and pests and perform intelligent prevention and control; the auxiliary module comprises a vision enhancement module and an exposure optimization processor and is used for improving the stability and accuracy of image acquisition equipment in the vision module; the influence of wind power is considered, the speed or acceleration of the annona squamosa fruits is obtained through the central calculation module by means of the wind power, the movement track of the annona squamosa fruits is predicted, the movement trend of the annona squamosa fruits is calculated in combination with different movement assumptions (uniform speed and uniform acceleration), and the grabbing time and speed of the mechanical arm are optimized.

The invention discloses an underwater image vision enhancement method and device based on gray space prior, and the method comprises the following steps: carrying out the pixel updating of a to-be-enhanced underwater image, and obtaining a balanced image; calculating the image transmittance and the ambient light value of the balanced image, and restoring according to the image projection rate and the ambient light value of the balanced image to obtain a gray clear image; and according to the to-be-enhanced underwater image, mapping to obtain a gray fog image, and according to the gray fog image and the gray clear image, carrying out defogging processing on the to-be-enhanced underwater image to obtain an enhanced image. According to the invention, the visual enhancement effect of the underwater image can be improved.

The invention discloses an unmanned aerial vehicle vision enhancement system and method based on a binocular rotating polarizer, and relates to the technical field of computer vision and optical imaging, and the system comprises a binocular camera module, a rotatable polarizer assembly capable of integrally moving in / out of a light path, a mechanism for driving the rotatable polarizer assembly to lift and rotate, and a main control unit. The method comprises the following steps: after moving a polarizer into a light path, driving the polarizer to rotate at a high speed to a plurality of preset angles in a single acquisition period and synchronously acquiring a binocular image sequence; processing the image sequence to calculate a Stokes parameter and constructing a three-dimensional polarization feature space in combination with depth information; and inputting the feature space and the original image into a multi-modal fusion neural network, and outputting an enhanced image, a semantic segmentation image and an optimized depth image. According to the invention, rapid and flexible switching between a polarization mode and a common visual mode is realized, and the real-time visual perception and enhancement capability of the unmanned aerial vehicle in complex environments such as underwater and strong reflection is significantly improved through deep cooperation of software and hardware.

The invention provides a contact lens capable of slowing vision change, an optical zone of the contact lens comprises a vision correction zone capable of enhancing vision and a vision adjustment zone surrounding the periphery of the vision correction zone, and the vision correction zone enables an imaging light beam to pass through a central fossa on the retina of an eye in a manner close to parallel light so as to obtain clearer vision. When a user sees more clearly, the pressure of the pressing ball can be relieved, and when the image plane focused by the vision adjusting area is arc-shaped and is different from the radian of the retina of the eye, the change of the myopia vision can be stabilized, and the two methods are adopted to tend to slow the change of the vision.

The present disclosure relates to cantilevered imaging modality wearable optical systems that provide for optimal ergonomics coupled with vision enhancement and vision magnification. Methods of use, devices, and kits are also contemplated.

The invention discloses a neural implicit expression intelligent network connection vehicle dynamic scene super-resolution reconstruction method, which comprises the steps of forming low-resolution dynamic scene data according to point cloud data, RGB-D images and speed / distance information of a vehicle and surrounding vehicles thereof; inputting the low-resolution dynamic scene data into the cross-modal attention fusion network model, and outputting a multi-view and multi-moment space-time alignment feature data set; inputting the time-space alignment feature data set into a neural implicit scene model, and outputting implicit scene features; inputting the implicit scene features into a space-time attention enhancement model, and outputting enhanced implicit scene features; and performing super-resolution reconstruction on the dynamic scene according to the enhanced implicit scene features, a binocular parallax consistency algorithm and a center vision enhancement algorithm. According to the method, the problem of detail loss caused by traditional pixel interpolation or point cloud downsampling is solved, the space-time consistency of a dynamic scene is enhanced, and reliable environment scene information is provided for an intelligent network connection vehicle.

The invention discloses a multi-laser fusion point cloud three-dimensional target detection method based on two-dimensional vision enhancement, and the method comprises the steps: carrying out the three-dimensional universal obstacle recognition of point clouds scanned by a single-line mechanical laser radar and a solid-state laser radar based on a local grid map and a light tracing method; calculating the terrain clearance of the three-dimensional universal obstacle identified by the solid-state laser radar; splicing the images shot by the plurality of cameras to form a two-dimensional panoramic image; performing target detection and semantic segmentation on the two-dimensional panoramic image by using a two-dimensional deep learning detection model and a segmentation model; and finally, projecting an identification result of the three-dimensional universal obstacle to the two-dimensional panoramic image, performing association matching with the two-dimensional detection frame, and performing semantic enhancement processing on the successfully matched three-dimensional universal obstacle to obtain independent three-dimensional targets corresponding to different semantic entities. The method can realize omnibearing perception and accurate measurement of the height of the obstacle, and is low in calculation complexity and strong in dynamic environment adaptability.

The present invention discloses a system and method for driving vision enhancement based on laser radar images. The present invention uses a drone equipped with a high-precision laser radar device, constructs a three-dimensional calculation model of the road line shape by scanning the point cloud of the road environment, scans the road traffic state, generates a parallel traffic environment through edge computing combined with the road linear model and the real-time high-precision GPS positioning data on the vehicle during driving, constructs a perspective view of the road lane sideline of the front observation section based on the driver's viewpoint, and a method for generating and warning the traffic environment around the vehicle, and projects the perspective view in real time on a projection surface at a fixed position in front of the driver through a head-up display HUD device, so as to achieve the effect of overlapping the perspective image with the actual road sideline under the driver's observation angle and real-time updating of the road conditions, thereby making up for the driver's lack of visual information collection under unknown conditions, risky environments, or adverse conditions such as foggy days and nights, and playing a role in driving navigation and warning for the driver.

The utility model relates to the technical field of night-vision devices, and discloses a night-vision device convenient to disassemble and assemble, which is provided with a disassembling and assembling device and an auxiliary mechanism, the disassembling and assembling device is used for installing the night-vision device, and the auxiliary mechanism is used for adjusting the distance of the night-vision device. The problems that although an existing night-vision device provides an excellent vision enhancement function in a low-light or completely dark environment, a user encounters much inconvenience when mounting and dismounting the night-vision device due to the fact that the existing night-vision device lacks a convenient dismounting device in actual use, and the traditional night-vision device usually adopts a fixed mounting mode and is inconvenient to mount and dismount are solved. In the prior art, screws or other fasteners need to be used for fixing, time and labor are consumed, equipment is prone to being damaged, in emergency, the requirement for quickly disassembling and assembling the night-vision device is particularly urgent, in addition, due to the lack of a convenient disassembling and assembling device, the multifunctionality and portability of the night-vision device are limited, and a user possibly needs to take down the night-vision device from a fixing support for use in different occasions.