430 results about "Night vision" patented technology

The invention relates to the technical field of image processing, in particular to a low-light and infrared image fused night vision imaging method and system. According to the method, multi-source data collaboration is realized by constructing a dual-band polarization feature cube, a degradation rule of fog scattering on low-light texture is accurately quantified, and a scattering invariance enhanced image is generated; based on fog concentration gradient dynamic partitioning, low-light details and infrared contours are fused in a low-concentration area, polarization state penetrating dense fog is recombined in a high-concentration area, finally, a night vision image with high definition, high scattering resistance and scene adaptability is output, and the identification capacity and monitoring reliability of fog night road targets are improved.

An ophthalmic lens configured to correct and / or treat at least one condition of the eye (e.g., presbyopia, myopia, hyperopia, astigmatism, binocular vision disorders, night vision image quality, and / or visual fatigue syndrome) comprising: a base power profile; and at least one pulse selected to modify the base power profile.

The invention discloses infrared night vision AR (Augmented Reality) intelligent glasses based on multispectral fusion, and relates to the technical field of infrared intelligent application. High-precision scene perception in a low-light / light-free environment is realized by fusing dual-channel data of low-light imaging and infrared thermal imaging and combining cross-modal feature matching and dynamic pose compensation; an environment detail structure is restored by a low-light image enhancement technology, thermal feature targets such as organisms are accurately recognized through thermal imaging target segmentation, and a three-dimensional environment model with space geometric information and target attributes is constructed through heterogeneous feature fusion; and dynamically adjusting the display transparency of the key target in the AR view field through a virtual information layer adaptive mixing mechanism driven by a hot target attribute, and finally outputting a virtual-real fused enhanced view, thereby breaking through the illumination limitation of the traditional AR glasses, and improving the visual effect of the AR glasses. And immersive augmented reality experience with panoramic detail perception and hot target accurate positioning is provided for the user in a dark environment.

The invention discloses a nano-pillar array NaKSb photoelectric cathode for enhancing light absorption, which is characterized in that through the design of a double-layer TiOtwo-dimensional nano grating and a nano-pillar array structured NaKSb photoelectric cathode layer, the optical path of light with the wave band of 450-900 nm in the photoelectric cathode is increased under the condition that the thickness of the NaKSb photoelectric cathode is not increased, the reflectivity of the wave band of 400-600 nm is reduced, and the light absorption of the NaKSb photoelectric cathode is enhanced. The absorption rate at 400-1000 nm is improved by 32.28% compared with that of a traditional planar film type photoelectric cathode, the absorption rate at 800-1000 nm near-infrared band is improved by 40.27% compared with that of the traditional planar film type photoelectric cathode, the problem that the absorption of the traditional planar film type photoelectric cathode near-infrared band is insufficient is solved, and the photoelectric cathode is suitable for high-performance low-light night vision imaging devices.

A method comprises illuminating an area using an infrared light source. The method further comprises, while the area is illuminated using the infrared light source, capturing one or more images of the area. The method further comprises analyzing the one or more images to identify an object in the area. The method further comprises, after identifying the object, illuminating the area using a visible light source.

The invention discloses a scene-based non-uniformity correction method, and relates to the technical field of image processing. According to the method, the key frame and the non-key frame are identified by analyzing the difference degree of continuous image sequences of the night vision system, extracting the difference region and evaluating the importance score of the frame in combination with the information entropy of the image; for the key frame, carrying out full-frame storage and on-line average calculation to generate an initial non-uniformity correction parameter; non-key frames only reserve difference area data, local updating is carried out based on correction parameters of the key frames, and the correction effect is further optimized through statistical characteristics of difference areas; and the standard deviation convergence condition is dynamically adjusted, the non-uniformity correction precision is optimized, newly added key frames are automatically processed in the real-time image sequence, and redundant data are deleted. According to the method, the image processing efficiency and the correction precision are remarkably improved, the redundancy calculation and storage overhead are reduced, the adaptability is high, correction parameters can be optimized in real time, and the method is particularly suitable for efficient and accurate night vision system image processing.

A multi-accessory mount assembly for use with a firearm, and methods for coupling the assembly to the firearm are provided. The assembly may include a proximal portion having a lower surface configured to be removably coupled to the firearm and an upper surface configured to be removably coupled to a sub mount. The sub mount may be configured to be removably coupled to a first firearm accessory, e.g., an optic scope, a red dot sight, a reflex sight, a night vision monocular or scope, or a magnifier. The assembly further may include a distal portion extending distally from the proximal portion via a neck portion, such that the distal portion is elevated higher than the proximal portion. An upper surface of the distal portion may be configured to be removably coupled to a second firearm accessory, e.g., an infrared laser or a night vision monocular or scope.

The invention discloses an intelligent traffic multi-angle night vision snapshot camera device and system, and belongs to the technical field of image processing, and the device comprises a multi-mode sensing layer which is connected to a traffic information collection end; the anti-interference physical layer comprises a lens anti-interference module arranged at the traffic information acquisition end; the edge computing layer comprises an embedded NPU (Network Processing Unit) chip, and the chip realizes multi-stage distributed processing through a multi-stage processing mechanism; and the cloud collaboration layer realizes real-time synchronization and storage of data through a distributed server cluster in combination with a network communication module, and supports access of multiple terminal devices at the same time. In the implementation process of the technical scheme of the invention, multi-dimensional data acquisition is performed on a traffic scene through the multi-modal sensing layer, and distributed processing is performed on the acquired image through the edge calculation layer after acquisition is completed, so that multi-dimensional analysis of the traffic image is realized.

The invention relates to the technical field of luminescent materials, in particular to tungsten-doped double perovskite and a preparation method and application thereof. The first aspect of the invention is to provide tungsten-doped double perovskite, the chemical formula of the tungsten-doped double perovskite is Cs2Sn1-xCl6: xW < 4 + >, and x is greater than or equal to 0.1% and less than or equal to 5%. The invention further provides a preparation method of the tungsten-doped double perovskite, which comprises the following steps: mixing a Cs-containing compound, a Sn-containing compound, a W-containing compound and concentrated hydrochloric acid, heating, cooling, separating, washing and drying to obtain the tungsten-doped double perovskite. The third aspect of the invention is to provide application of the tungsten-doped double perovskite in the fields of near-infrared LEDs, night vision, safety monitoring or nondestructive analysis. The fourth aspect of the invention is to provide an optoelectronic device, and the luminescent material of the optoelectronic device adopts the tungsten-doped double perovskite.

The invention discloses a low-light image target detection method based on enhanced feature fusion, and belongs to the field of computer vision and target detection. According to the method, multilayer features are extracted by using a backbone network, a bidirectional multi-scale feature pyramid and three-path convolution fusion module is designed, shallow features and transverse jump connection are introduced in the fusion process, and efficient combination of spatial details and semantic information is realized; an intra-scale Transform encoder is adopted to enhance the feature expression ability, and in a decoding stage, a deformable attention and query selection strategy is combined, so that the detection efficiency and precision are improved; and end-to-end training is realized through Hungary matching and set loss. According to the invention, real-time high-precision target detection can be realized in a low-illumination environment, and the method is suitable for night vision monitoring and intelligent sensing scenes.

The invention discloses an intelligent inspection method and system based on night vision digital glasses. According to the method, a thermal infrared image, a visible light image, depth information and ambient light intensity data of an inspection area are collected in real time through night vision digital glasses. Feature level fusion is carried out on the infrared image and the visible light image by using an image fusion algorithm, depth information is corrected and optimized, and imaging parameters are automatically adjusted according to ambient light intensity data to ensure that the image is clear. Then, a deep learning algorithm is used to carry out real-time analysis on fused image data, a target is identified, and three-dimensional positioning and distance measurement are realized. And in combination with a preset risk model and a decision rule, the risk is evaluated, an acousto-optic early warning is sent to the inspection personnel through the glasses display module when an abnormality is found, and the risk information is transmitted to a remote monitoring center. In addition, inspection data are automatically recorded and an inspection report is generated. The method and the system effectively improve the inspection efficiency and accuracy, and are especially suitable for intelligent inspection tasks in complex environments.

The invention relates to the technical field of intelligent security and protection and intelligent old-age care monitoring, in particular to a collaborative tumble detection method based on Bayesian cognitive routing and spatio-temporal rhythm prior, which comprises the following steps: a dual-mode visual acquisition unit acquires a video stream; constructing a multi-mode tumble detection model, namely extracting video features, preliminary behavior probability distribution and statistical features from a video stream by utilizing a lightweight time sequence sensing network, calculating rhythm surprise by utilizing a neural state space rhythm model, calculating a routing activation probability by utilizing a Bayesian gating network and judging whether to intercept or not, if so, triggering the visual language large model; constructing a training mechanism of teacher-student alignment until the network converges; and outputting an identification result and executing a modal isolation data response strategy. The method has the beneficial effects that a'lightweight perception-large model rechecking 'bionic architecture is constructed, the detection precision is improved, the problems of infrared night vision and shielding are solved, false alarm and missing alarm caused by similar postures are reduced, and family privacy protection is also realized.

The invention provides a side slope deformation video monitoring method and system based on a night vision system, and relates to the technical field of geotechnical engineering safety monitoring. The method comprises the following steps: acquiring all-weather video stream data of a slope area to be monitored through a dual-mode night vision camera device, and preprocessing to obtain a slope deformation image; the slope deformation image is analyzed by adopting a digital image related technology to obtain a slope surface deformation condition, and the slope surface deformation amount is calculated to carry out multi-stage early warning; and inputting the slope surface deformation amount into the trained deformation trend prediction model based on the LSTM, and obtaining the predicted deformation amount for early warning. According to the invention, the bottleneck of night side slope on-line monitoring is broken through, 0.05 mm submillimeter level displacement measurement precision is realized through combination of the visible light-infrared dual-mode camera and the improved video image DIC flow analysis technology, the spatial-temporal feature fusion model is innovatively introduced to improve the early warning accuracy, and a reliable technical means is provided for side slope safety protection in a complex environment.

The present invention relates to a split-type fusion sight, comprising a sight main body. An aiming assembly connecting base is arranged at the top of the main body; the aiming assembly connecting base comprises an engagement groove located on the front side, and an engagement base located on the rear side; an engagement block is arranged in the middle of the engagement groove, and a wire arranging base is arranged on the right side of the engagement base; the aiming assembly connecting base is further provided with connecting screw holes. The split-type fusion sight can fuse the low-light-level night vision or thermal imaging lens imaging with human eye observation of a target to assist in observing or determining the target, and then determines the aiming target by means of an aiming light point, thereby performing accurate shooting. In addition, the low-light-level night vision or thermal imaging lens imaging module is arranged above the sight main body, and is fixedly connected by means of the aiming assembly connecting base and connecting screws. It is convenient to replace the low-light-level night vision module or thermal imaging module, the sight main body does not need to be disassembled, and disassembly and replacement are more convenient.

In general, the disclosure describes techniques for joint spatiotemporal Artificial Intelligence (AI) models that can encompass multiple space and time resolutions through self-supervised learning. In an example, a method includes for each of a plurality of multimodal data, generating, by a computing system, using a first machine learning model, a respective modality feature vector representative of content of the multimodal data, wherein each of the generated modality feature vectors has a different modality; processing, by the computing system, each of generated modality feature vectors with a second machine learning model comprising an encoder model to generate event data comprising a plurality of events and / or activities of interest; and analyzing, by the computing system, the event data to generate anomaly data indicative of detected anomalies in the multimodal data.

The invention discloses a traffic safety facility night vision evaluation method and system, and relates to the technical field of image processing, and the method comprises the steps: obtaining a to-be-evaluated traffic safety facility image; if the to-be-evaluated traffic safety facility image is the to-be-evaluated traffic sign image, determining a retroreflection coefficient of each color area of a traffic sign in the to-be-evaluated traffic sign image; based on the retroreflection coefficient and the gray value uniformity of the specific distribution area of the traffic sign, performing night vision evaluation on the traffic sign; if the to-be-evaluated traffic safety facility image is a to-be-evaluated traffic marking image, determining a retroreflection brightness coefficient of a traffic marking in the to-be-evaluated traffic marking image and gray value uniformity of a specific image area where the traffic marking is located; and performing night vision evaluation on the traffic marking based on the retroreflection brightness coefficient and the gray value uniformity of the specific distribution area of the traffic marking. The traffic safety facility night vision detection method is high in detection precision and high in reliability.

The utility model discloses a visual doorbell with a night vision light supplement function, and relates to the doorbell technology field, the visual doorbell comprises a door plate and a doorbell, the doorbell is arranged on the front end surface of the door plate, an adjusting assembly is arranged on the surface of the door plate, and five groups of positioning blocks and positioning grooves are arranged between a rotating rod and a fixed plate, so that when the rotating rod rotates in the fixed plate, the adjusting assembly is fixed on the door plate. When the rotating rod drives the infrared light supplement lamp to rotate to a needed angle through the support, the five sets of positioning blocks are aligned with the positioning grooves, the positioning blocks are pushed to slide in the sliding grooves in a reset mode through the restoring force of the sliding grooves, and therefore the infrared light supplement lamp is driven to rotate to a needed angle. The infrared light supplement lamp is arranged in the positioning groove and abuts against the inner wall of the positioning groove, so that the purpose of adjusting multiple rotation angles of the infrared light supplement lamp is achieved, the irradiation range of the infrared light supplement lamp can be adjusted according to the needs of a user, and the infrared light supplement lamp can supplement light to the doorbell in multiple time periods.

1. The name of the design product: night vision glasses (low light infrared dual light fusion AR). 2. The use of the design product: the design product is used for AR night vision observation glasses. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view.

The invention relates to the technical field of vehicle driving, and discloses a vehicle driving night vision auxiliary sensing system, which is characterized in that an image acquisition module extracts a vehicle road area according to a night vision infrared image of a vehicle, and divides the vehicle road area into a plurality of segmented vehicle road areas; the area classification module analyzes the segmented vehicle road area and determines a corresponding area category, and the area category comprises an interference road area and a perception road area; a coefficient calculation module calculates an area obstacle coefficient based on the sensing pixel value corresponding to each sensing road area; the auxiliary sensing module calculates a front road obstacle coefficient according to the position of the vehicle and each sensing road area, adjusts the night vision infrared image, performs night vision danger auxiliary sensing on the vehicle based on the adjusted night vision infrared image, can dynamically distinguish an interference area from a sensing area, and improves the safety of the vehicle. The accurate night vision infrared image is determined in combination with multi-dimensional parameters, so that accurate obstacle risk perception is realized, and more reliable and safer night vision assistance is provided for a driver.

The invention provides a high-crystallinity near-infrared emission wurtzite CdS quantum dot / Zn < 2 + > modified CdS quantum dot as well as a preparation method and application thereof, and belongs to the technical field of semiconductor quantum dots. The preparation method comprises the following steps: mixing cadmium oxide, a very small amount of zinc acetate, oleic acid and octadecene, heating for degassing, heating to a reaction temperature, and adding an S-ODE precursor for reaction to obtain the zinc-modified wurtzite CdS quantum dot. The CdS quantum dots synthesized under the condition of high concentration are of a wurtzite structure and have high crystallinity, the particle size is remarkably increased, a small amount of zinc acetate is added, disordered nucleation and growth processes under a high-concentration reaction system are effectively separated through a surface adsorption process, and the monodispersed wurtzite CdS quantum dots are obtained. According to the invention, the LED device is prepared by integrating the optimized CdS quantum dots and the 450nm purple light chip, and the dual functions of visible light illumination and night vision application are realized.

The utility model discloses a device and system for detecting compactness of rock-fill concrete, the device comprises an inner pipe and an outer pipe sleeved outside the inner pipe, the length of the inner pipe is greater than that of the outer pipe, the inner pipe can be separated from the outer pipe, and the outer pipe can be connected with the inner pipe. The night vision pinhole camera can be put into a hole formed by pulling out the inner pipe after the inner pipe is inserted into the rock-fill concrete through the outer pipe which is partially exposed and partially inserted into the rock-fill concrete, and the cable is connected with the night vision pinhole camera. According to the utility model, the compactness of the rock-fill concrete can be visually monitored.

The application relates to a multi-stage electric heating intelligent unblocking device and method for complex frozen blockage of a CO2 flooding waxy crude oil gathering pipeline, wherein the multi-stage electric heating intelligent unblocking device for complex frozen blockage of the CO2 flooding waxy crude oil gathering pipeline comprises a dredging system, an outer framework and an intelligent control system; the outer framework is a bionic flexible guide pipe which is composed of multiple body segment units connected through expansion joints; the dredging system integrates a first-stage global heating system, a second-stage local heating system and a dosing system; a flexible electric heating pipe is embedded in the bionic flexible guide pipe to form a uniform heating body; the bionic flexible guide pipe is provided with a temperature sensor; the second-stage local heating system is an intelligent composite drill bit which can autonomously heat; the intelligent composite drill bit comprises a motor system, a drill bit shell, an electric heating rod, a drill bit and a miniature night vision camera; the dosing system comprises an inhibitor storage tank and multiple nozzles. The application can quickly break the frozen blockage area and realize intelligent operation.

1. The name of the design product: outdoor thermal imaging telescope (Z11, ZL11). 2. The use of the design product: for imaging, infrared night vision, ranging, observation and aiming of distant targets. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: design 1 perspective view 1. 5. Design 1 is designated as the basic design.

Techniques to modify an image from a night vision camera so as to reduce smear. An example method comprises receiving at least one image from a night vision camera; modifying the at least one image, based on motion data from a tracker system and a shutter time of night vision camera, to reduce smear in the image; and outputting the modified at least one image.

The invention relates to colloidal quantum dots on a silicon photomultiplier microcell matrix. The techniques employ colloidal quantum dots (CQDs) in which a CQD layer is disposed on an array of SiPM microcells of an image sensor for an imaging module. The CQD layer and the microcell array are individually biased. A method includes biasing a CQD layer of an imaging module at a first voltage, and biasing an array of photomultiplier microcells at a second voltage. Upon receiving photons, the CQD layer generates charge in response. Charge moves from the CQD layer into the array, where at least one photomultiplier microcell amplifies the charge. A signal is then output from the imaging module in accordance with the amplified charge. This method can significantly improve the photon detection efficiency of the imaging element, which can be used in a wide range of applications such as lidar, medical imaging and night vision or in other weak light imaging scenarios.

The utility model relates to the technical field of vehicle safety monitoring equipment, in particular to a vehicle-mounted monitor convenient to assemble and disassemble based on an extremely weak light condition, which comprises a vehicle-mounted monitor body, an infrared night vision lens mounted at the front part of the vehicle-mounted monitor body, a bearing seat arranged at the upper part of the vehicle-mounted monitor body, and symmetrical positioning holes formed in the bearing seat, a supporting seat is clamped to the upper portion of the bearing seat, two grooves matched with the positioning holes are formed in the upper portion in the supporting seat, and clamping blocks are connected into the grooves in a sliding mode. The vehicle-mounted monitor is fixed to a vehicle through the suction cup, the supporting base and the bearing base are rapidly assembled and disassembled through cooperation of the clamping block and the push block, the angle of the monitor can be flexibly adjusted through the design of the rotating part and the damping rotating rod so that the monitor can meet different monitoring requirements, and in the extremely weak light environment, the infrared night vision lens and the light supplementing lamp work cooperatively so that the monitoring effect can be improved. According to the utility model, through cooperation of the above components, stable monitoring in a complex environment is realized.

The utility model discloses a general vehicle full -color night -vision auxiliary driving system, including multi -objective camera, individual helmet, car machine big screen and panoramic video processor, multi -objective camera all with panoramic video processor electricity is connected with individual helmet, car machine big screen, the multi -objective camera is used for gathering the image of vehicle surrounding environment, individual helmet is provided with head -mounted display, and the head -mounted display of individual helmet is used to present the image of vehicle surrounding environment after the processing of panoramic video processor, car machine big screen is used for presenting the image of vehicle surrounding environment after the processing of panoramic video processor on the vehicle. The utility model solves the problem that the imaging color of traditional vehicle night -vision auxiliary equipment is single, the detail is not clear, cannot provide panoramic visual information, is difficult to effectively integrate with vehicle system, helps the driver to be more accurate in judging the road condition under the night and complex environment, and improves driving safety and convenience.

The invention discloses a starlight-level high-definition optical lens, which belongs to the technical field of optical lenses and comprises a first lens, a diaphragm, a second lens, a third lens, a fourth lens and a photosensitive chip which are sequentially arranged along an optical axis from an object plane to an image plane, and the first lens, the third lens and the fourth lens are plastic aspheric lenses. The second lens is a glass spherical lens; the focal lengths of the first lens, the second lens, the third lens and the fourth lens are negative, positive, positive and negative in sequence. According to the optical lens, the FNo. is 1.6, the resolution reaches more than 4 million pixels by 80%, night vision confocal and purple halo weakening are achieved, and the cost is low.

The utility model discloses a night on-duty shooting sighting aid, which relates to the technical field of sighting aids and comprises a connecting seat and two protective plates, a night vision sighting telescope is arranged in a clamping cavity of the two protective plates, a guide rod is fixedly mounted between the top wall of the protective plate on one side and the top wall of the connecting seat, and the surface of a rod body of the guide rod is slidably connected with a guide block. A one-way lead screw is rotationally connected between the top wall of the protection plate on the other side and the top wall of the connecting base, a moving block is in threaded connection with the surface of a rod body of the one-way lead screw, arc-shaped clamping plates are fixed to the adjacent side walls of the moving block and the guide block, and the outer wall of the night vision sighting telescope is fixedly connected with the surfaces of the two arc-shaped clamping plates. An adjusting assembly is arranged at the bottom of the night vision sighting telescope. According to the night vision sighting telescope, the one-way lead screw is driven to rotate by shifting the adjusting disc, and then the night vision sighting telescope is driven to adjust the height position under the action of the guide block and the arc-shaped clamping plate, so that a user can adjust the shooting precision conveniently, and the shooting hit rate can be increased.