519 results about "Blind spot" patented technology

The invention discloses an artificial intelligence denoising method for a speckle shearing interference image based on self-supervised learning. The method is a self-supervised image denoising method based on blind spot learning. According to the method, an improved self-supervised network architecture is adopted, pixel points of an image are input through a random mask and are replaced by neighborhood pixel values, and a blind spot training sample is constructed. The network only learns and predicts an original noise value of a masked pixel point in a training process, and does not depend on a clean image as a supervision signal, so that real self-supervised learning is realized. The de-noising method comprises the steps of constructing a data set meeting training requirements, performing de-noising model training by using a blind spot learning method and a self-supervised network, performing de-noising calculation on a speckle interferogram through a fully trained model, and finally obtaining a de-noised interference image. The method has the characteristics of simplicity and convenience in calculation and high processing speed, and can meet the requirement of large-data-volume image processing.

The invention discloses a tumor image segmentation method and system based on multi-modal image fusion, and the method comprises the steps: firstly extracting the dimension features of CT, MRI and PET, expanding the dimension features into a four-dimensional model, and achieving the initial segmentation of a feature region; performing registration fusion, group collaborative optimization and blind spot compensation to obtain a fused image with high consistency and complete boundary; then texture morphological features are extracted, and suspicious types are intelligently discriminated; dynamically evaluating the reliability of each modal and weighting to generate initial segmentation; and finally, carrying out inclination angle correction three-dimensional reconstruction, carrying out high-sensitivity detection on an invisible boundary, and outputting an accurate target segmentation result. According to the method, the precision and reliability of tumor suspicious region segmentation are remarkably improved, and efficient technical support is provided for subsequent accurate diagnosis and treatment planning of doctors.

The invention relates to the technical field of perception fusion, and discloses a tug fusion enhanced perception method based on target tracking and obstacle recognition, which comprises the following steps: processing an AIS, an optical fiber compass, a Beidou RTK, a laser radar, a millimeter wave radar and a panoramic camera on a tug to establish a ship coordinate system; and collecting message data of the AIS and combining with the MMSI information to screen the target ship to obtain the initial position of the target ship. And predicting the state sequence of the target ship to obtain the position, speed and heading information of the target ship. And carrying out target identification on the image, outputting identification results of semantic levels of the ship, the buoy and the quay wall, and carrying out space projection alignment with radar data. And fusing the processed results to obtain a fusion result, and performing early warning according to the fusion result. According to the method, the target ship relative pose resolving precision and the obstacle recognition reliability are improved, the sensing link time delay is shortened, and the driver blind area risk is reduced.

The invention relates to an oral cavity scanner and an oral cavity scanning method, and belongs to the technical field of medical instruments, the oral cavity scanner comprises a host, a handheld scanning gun and a data processing terminal, a main control circuit and a power module are arranged in the host, the handheld scanning gun is connected with the host, and a scanning window is arranged at the front end of the handheld scanning gun. The method comprises the following steps: acquiring three-dimensional shape data of oral tissues through a main white light scanning module; the auxiliary deep hole scanning module is used for carrying out supplementary scanning on optical dead angles such as the edge of a preparation body and a deep caries cavity; lesion information such as decayed teeth and dental plaque is obtained through the fluorescence detection module; data splicing is assisted through the attitude sensing module, the data processing terminal fuses multi-modal data to generate a color digital model with high-precision three-dimensional morphology and pathological information labeling, and real-time guidance and quality evaluation are performed on a scanning process by using an artificial intelligence model. And full-automatic, high-precision and intelligent oral cavity three-dimensional data acquisition is realized.

The invention relates to the field of supply chain analysis, in particular to a supply chain data analysis method and device, equipment and a storage medium. The method comprises the following steps: carrying out operation data scanning and deep idle data mining on a whole link of a supply chain to obtain a dark database; carrying out association analysis on a plurality of dark data sources of the dark database to generate a dark data source relationship; performing multi-link actual execution node identification and flow monitoring derailing node analysis according to the dark data source relationship, and constructing a blind spot distribution map; performing upstream and downstream behavior data interpolation filling on the blind spot distribution map, and constructing a dark data blind spot model; according to the dark data blind spot model, blind spot risk analysis is carried out, and whole-process supervision decision adjustment is carried out. The execution efficiency of multiple links of the supply chain is improved, and the risk is reduced.

The invention belongs to the technical field of computer vision and intelligent sensing, particularly relates to a positioning system for monitoring blind area multi-sensor space-time calibration, and aims to solve the problems of monitoring blind areas and track breakage caused by non-uniform space-time reference of multi-source heterogeneous sensors. The system comprises a space-time reference generation unit, distributed sensing nodes, a joint calibration engine, a real-time positioning calculation module and a self-adaptive feedback controller. Through nanosecond time synchronization, space registration based on a static landmark and a mobile calibration carrier and a dynamic re-calibration mechanism of closed loop feedback, continuous smooth trajectory output of cross-device target tracking is realized. The system supports layered architecture and block chain evidence storage, improves expandability and security, and is suitable for smart cities and industrial automation scenes.

The present invention relates to a blind spot display device for construction equipment including a detector provided in the construction equipment to detect an object around the construction equipment; a display provided in front of eyes of a driver of the construction equipment; a gaze tracker tracking a direction of a gaze of the driver; and a controller acquiring information from the detector and the gaze tracker and analyzing information on a direction consistent with the gaze of the driver, wherein the controller displays a marker for the object included in the direction of the gaze of the driver on the display.

The invention discloses an intelligent early warning cable and a preparation method of the intelligent early warning cable, and belongs to the technical field of cables. The flame-retardant polyolefin composite material is prepared from the following raw materials in parts by weight: 5 to 10 parts of ethylene-vinyl acetate copolymer, 10 to 20 parts of linear low-density polyethylene, 10 to 15 parts of ethylene-octylene copolymer, 3 to 8 parts of compatilizer, 15 to 20 parts of organic modified vanadium dioxide, 30 to 40 parts of ionic liquid modified aluminum hydroxide, 1 to 1.5 parts of cross-linking agent and 1 to 2 parts of lubricant. Organic modified vanadium dioxide is introduced into a sheath layer material to serve as an intelligent early warning material, the cable sheath layer is endowed with the temperature change characteristic, when the local temperature of the cable is abnormally increased due to overload and other reasons, the material can trigger color change, and therefore a striking visual mark is formed in a complex wire harness, and the early warning effect is improved. And the problems of lag, low efficiency and existence of blind areas of the traditional monitoring means are solved.

This invention discloses a method and system for full-appearance inspection of automotive hexagonal anti-loosening fastening nuts. The method includes nut placement and lighting, image acquisition, detection model construction, and nut defect detection steps. The nut placement and lighting step achieves refined lighting control through a multi-angle adjustable light source system, adjusting the combination of LED beads, brightness, and angle, and outputting lighting evaluation results. The image acquisition step acquires six-sided images of the nut through a multi-camera system, eliminating blind spots. The detection model construction step builds a training dataset based on images of non-reflective areas and optimizes the deep learning model by combining the lighting evaluation results. The nut defect detection step achieves real-time defect identification and out-of-specification judgment through the defect detection model, and correlates with the lighting evaluation results to ensure detection reliability. This solves the problem of metal surface reflection interference, realizes full-dimensional, high-precision, and high-stability nut appearance inspection, adapts to the inspection needs of multiple nut specifications, and meets the high-efficiency quality inspection requirements of industrial production lines.

A method of providing views in a camera monitor system (CMS) for a vehicle including a tractor and a trailer includes receiving first and second captured images from first and second cameras that respectively provide first and second fields of view alongside a left side and a right side of the vehicle, the first and second fields of view are other than legally prescribed narrow- or wide-angle views that include the trailer, receiving a third captured image from a centrally located vehicle camera to provide a third field of view in a central blind spot of the vehicle, and simultaneously depicting the first, second and third captured images as discrete, unstitched images on at least one display.

The invention provides a security situation awareness method and system based on a three-dimensional GIS and a panoramic video, and the method comprises the steps: constructing a three-dimensional scene model of a monitoring region on a three-dimensional GIS platform, accessing a plurality of cameras and an environment sensor, and achieving the space-time alignment and coordinate unification of a video stream and multi-source sensing data; projecting a video frame to a three-dimensional scene based on internal and external parameters of a camera to generate a panoramic video picture, and performing detection and cross-camera tracking on pedestrians and vehicles by adopting a target detection model to obtain a target three-dimensional track; predicting a target position and local density change by using a time sequence prediction model, judging anomalies including congestion, retention and retrograde driving, and sending out an early warning; camera deployment and cooperative tracking are planned through a point location optimization algorithm, and monitoring blind areas are reduced; the system comprises a data acquisition module, a space-time alignment module, a three-dimensional mapping module, a target detection and tracking module, a situation analysis module, a point location planning module and a situation display module, and can improve the automation and precision of security situation awareness in a complex scene.

This invention relates to the field of integrated driver-trailer technology for heavy-duty commercial vehicles, specifically to a 360° surround view system for integrated driver-trailer heavy-duty trucks. The system includes an environmental monitoring controller, with its input linearly connected to cameras and its output linearly connected to a multimedia screen. The environmental monitoring controller receives image information from four cameras on the driver vehicle and three cameras on the trailer, processes the image information, and sends it to the multimedia screen. A corner recognition calibration ball is located at the front of the tanker truck, used to identify the hinge angle between the driver and trailer in real time and send the acquired data to the environmental monitoring controller. This system solves the problem of drivers being unable to observe the 360° field of vision around the driver and trailer in real time from inside the cab, resulting in blind spots during vehicle movement, turning, and reversing, which can easily lead to safety accidents. It improves the safety of people, vehicles, and goods during train transportation and effectively reduces the incidence of safety accidents caused by blind spots during transportation.

This invention discloses a vehicle cooperative positioning system for traversing continuous blind zones, comprising a module for acquiring multi-source observation data, a module for constructing a spatiotemporally consistent cooperative factor graph, a cooperative constraint optimization module, an adaptive cooperative strategy adjustment module, and a cooperative information re-fusion module. This invention belongs to the field of data processing technology, specifically a vehicle cooperative positioning system for traversing continuous blind zones. This scheme employs observability-driven cooperative constraint construction and spatiotemporally consistent cooperative factor graph modeling, maintaining high observability and stable positioning even in scenarios without satellite signals, achieving unified fusion of multi-source heterogeneous data. It utilizes communication quality-driven adaptive cooperative switching and predictive prior constraints for delay-compensated re-fusion, achieving autonomous positioning without drift during communication interruptions and unified global trajectory calibration after communication recovery, providing high-precision and continuous positioning support for traversing continuous blind zones.

This invention discloses a distributed WiFi indoor personnel detection and intelligent control method and system with resistance to environmental interference, relating to the fields of wireless sensing and IoT control. The method includes: sensing nodes collecting CSI sequences, constructing frequency domain features through fast Fourier transform, using an adaptive notch filter algorithm to identify and eliminate periodic interference at specific frequencies, and extracting the non-periodic spectral energy of human breathing and micro-movements; the edge gateway employing a lightweight decision fusion strategy, performing a logical "OR" operation on the local features of multiple nodes, and utilizing spatial diversity to eliminate single-link line-of-sight blind spots and multipath dead zones; the controller constructing a dual-threshold three-state state machine based on CSI statistical features, setting a high trigger threshold to prevent false alarms, a low hold threshold to maintain static detection, and introducing an early warning mechanism. This invention effectively solves the problems of traditional wireless sensing being susceptible to interference in complex dynamic environments and having a high rate of missed static personnel detection, achieving highly robust non-contact personnel detection and energy-saving lighting control.

This invention provides a wideband airspace radiation device and a wideband anti-unmanned system. The wideband airspace radiation device includes a mounting plate; a first-band radiator is arranged at the center of the mounting surface to provide omnidirectional coverage of the first band; several parasitic elements are arranged circumferentially along the first-band radiator; the second-band radiator employs directional antenna elements, with at least two second-band radiators symmetrically arranged on both sides of the first-band radiator; wherein the parasitic elements are located between the first-band and second-band radiators, and the parasitic elements are used both to guide the electromagnetic field distribution of the first-band radiator and to reflect and guide the electromagnetic waves emitted by the second-band radiator; the several second-band radiators achieve omnidirectional coverage of the second band in a back-to-back configuration. The wideband airspace radiation device provided by this disclosure can eliminate the coverage blind spots of multi-band combined omnidirectional radiators, achieving effective protection of targets.

The invention discloses an anti-corrosion pipeline joint coating method suitable for a low-temperature environment. The method comprises the steps that surface pretreatment is conducted on a pipeline joint coating area; brushing matched primer; and a polypropylene adhesive tape is adopted for winding and joint coating. The key improvement of the invention is as follows: before winding, the pipeline joint coating area with the primer layer is preheated, and the adhesive layer of the polypropylene adhesive tape is pertinently heated to activate the low-temperature viscosity of the adhesive layer; in addition, the method further comprises the step of spraying a quick-drying anti-rust protective agent if painting is delayed after pretreatment. For pipe fittings such as elbows, tee joints and the like, a special positioning tool with an arc-shaped guide plate and a circular shaft is used for guiding and winding; in quality detection, an adjustable auxiliary support is adopted to fix an electric spark leakage detection probe so as to eliminate a detection blind area; through a series of cooperative improvements, the bonding reliability, the construction quality uniformity and the defect detection rate of the repaired mouth anticorrosive coating in the low-temperature environment are remarkably improved, and the long-term anticorrosive safety of the pipeline is effectively guaranteed.

A blind spot object alert determination device (100) for a vehicle that comprises an event camera 302; a blind spot region detection module (208), which processes event camera data to identify blind s

This utility model relates to the field of security monitoring technology and proposes a security monitoring device for security engineering, comprising: a monitoring pole and a support rod fixedly connected to the inner wall of the monitoring pole; a mounting block is fixedly connected to the top of the support rod, the mounting block has multiple mounting surfaces, multiple sets of connecting components are provided on the surface of the mounting block, a camera is provided on the surface of the connecting components, and a cooling chamber is opened inside the camera. This application has a reasonable structure. A self-priming booster pump allows external water to enter the distribution shell through a water injection pipe. Then, water enters the bottom of the cooling chamber through a cooling branch pipe, a water outlet connector, and a cooling pipe. The heat from the camera is conducted to the cooling chamber inside the metal shell and cooled by the water. Furthermore, this application allows for the installation of multiple cameras according to user needs, achieving comprehensive monitoring of the surrounding area without blind spots, while also cooling multiple cameras.

The invention provides a hook auxiliary confirmation system based on video monitoring, which belongs to the technical field of video monitoring, and comprises the following steps: deploying video acquisition equipment in a key monitoring area, and transmitting a video picture to a crown block cab; processing a transmitted video picture by using an AI visual identification algorithm, positioning a hook area through a color distinguishing technology, carrying out frame selection labeling, and generating hook state auxiliary prompt information; the driver confirms whether the hook is hung in place or not based on the video picture and the auxiliary prompt information displayed by the cab; if it is confirmed that hanging is in place, the crown block can execute follow-up lifting operation; and if the hook is not hung in place, adjusting the position of the hook and repeating the video acquisition and identification steps until the hook is confirmed to be in place. According to the hook auxiliary confirmation system based on video monitoring, a hook scene is visually presented through a video picture, an AI algorithm provides accurate state prompt, safety is guaranteed from the hardware level and the process level, visual blind spots of operators in a cab are avoided, and production safety is improved.

This invention discloses a transparent body system for large mining vehicles, comprising: an image acquisition module deployed at the front and front sides of the large mining vehicle to acquire image information of areas obscured by the vehicle body in real time, obtaining multiple images; an image processing and control module, including a panoramic view generation unit and an AR enhancement unit; the panoramic view generation unit generates a panoramic view by real-time stitching and fusion of the multiple images; the AR enhancement unit performs real-time road condition information recognition and dynamic blind spot marking based on a pre-stored high-precision map of the mining area, generates an AR enhancement layer, and overlays it onto the panoramic view; and a display module installed at a prominent position at the rear of the vehicle, facing outwards, to display the panoramic view with the AR enhancement layer overlaid in real time. This system provides other road users with a transparent view of the vehicle body, fundamentally eliminating safety risks caused by blind spots.

This invention provides a method and system for judging and alerting on traffic light visibility, belonging to the field of automotive control technology. The method includes: acquiring the position, color, and type of the traffic light; acquiring lane information and vehicle dynamic parameters; detecting the driver's field of vision to determine whether the traffic light is within the driver's field of vision; judging the visibility of the traffic light based on the traffic light position and whether it is within the driver's field of vision; if the traffic light visibility is insufficient, calculating the risk level based on the traffic light position, color, and type, lane information, and vehicle dynamic parameters; and outputting corresponding alert information based on the risk level. This invention can intelligently sense the driver's field of vision coverage, solving the problem of blind spots caused by traffic light obstruction; this invention integrates vehicle speed, acceleration, and distance information to achieve dynamic risk classification alerts; this invention only processes traffic lights in relevant lanes, significantly reducing the false alert rate.

This invention relates to the field of intelligent vehicle lighting technology, and in particular to an intelligent headlight control method and control system based on driver intention prediction. The method includes: collecting environmental data, driver biosignals, and vehicle dynamic data through multi-source sensors; using a spatiotemporal graph convolutional network to predict future short-term driving intentions and confidence levels; real-time correction of lighting parameters based on the driver's eye-tracking gaze area and heart rate variability; activating a conservative wide-angle lighting mode when the intention confidence level is below a threshold; and triggering a strobe warning light pattern in response to an ADAS system pre-collision signal. The system includes a data acquisition unit, a processing unit, and an execution layer, achieving coordinated adjustment of headlight deflection angle, brightness, and illumination range. It solves the problems of lag and blind spot risk inherent in traditional adaptive headlights, significantly improving the timeliness of blind spot lighting in curves and safety in low-visibility conditions.

This application provides a camera tracking control system and intelligent care device, belonging to the field of intelligent elderly care technology. The system includes a motion drive module, a posture sensing module, a face recognition module, and a controller communicating with these three modules. The posture sensing module outputs corresponding drive signals based on the left and right displacement of the human body. The face recognition module outputs a stop signal after recognizing a face. The controller drives the camera to adjust its position according to the human body's movement, locking and recording upon face recognition. The camera tracking control system and intelligent care device provided by this invention can achieve fully automatic tracking and recording of the elderly, solving the problem of blind spots that are common with fixed cameras, effectively improving the reliability of home-based elderly care, and reducing the cost of manual care.

The invention relates to a method for correcting blind area display information, a domain controller and a product. The method includes determining a motion state of the vehicle based on mileage data of the vehicle. The method further includes determining whether a motion state of the vehicle is a predetermined motion state and correcting position information of an object in the blind spot display information based on the mileage data in the predetermined motion state. Through the mode, the position information of the object in the blind area display information obtained through prediction can be adjusted according to different motion states, the environment around the vehicle can be sensed more accurately under various conditions, and therefore the robustness and accuracy of predicting the blind area display information are improved.

The invention provides an intersection meniscus region collision early warning method, device and equipment and a storage medium, and the right turn collision probability is reduced by performing real-time accurate recognition on the geometric features of an intersection meniscus region and the position and posture of a traffic subject. The system uses a camera to acquire a video, segment a meniscus area and a lane line, detect a contact point of a foot sole of a pedestrian and a tire of a two-wheeled vehicle, extract a meniscus outer contour, an inner side concave point, an outer side convex point and a central axis, and combine with straight line fitting of the lane line to determine an actual coming right-turn lane and judge whether the vehicle is driven into the lane or not. When the position relation between the key points of the pedestrian and / or the two-wheeled vehicle and the key geometric points of the meniscus area indicates that the pedestrian and / or the two-wheeled vehicle enter different danger levels, the system gives out early warning according to the levels to remind the pedestrian and / or the two-wheeled vehicle to retreat from the right-turn coming vehicle and remind the right-turn vehicle to decelerate or stop in advance. Therefore, collision risks caused by view blind areas, shielding and misjudgment are effectively reduced.

A method for a computing method includes detecting a power loss event in a mixed reality head mounted display. The method also includes routing video see through (VST) processing to a dedicated VST hardware block, in response to detecting the power loss event. The dedicated VST hardware block includes a power domain rail that is independent from a power domain of a mixed reality system on chip (SoC).

This invention discloses a method and apparatus for denoising real images, belonging to the field of image processing technology. The method includes training a denoising module using training samples as input to obtain a trained denoising module; acquiring a real image to be denoised; inputting the features of the real image into the trained denoising module; and having the blind spot branch of the trained denoising module denoise the real image, outputting a denoised image. The denoising module includes a parallel non-blind spot branch and a blind spot branch. The non-blind spot branch is a gradient-free non-blind spot branch, outputting a first denoising result; the blind spot branch generates mask features, which are denoised through convolution operations to obtain denoised features, serving as a second denoising result for the blind spot branch; and the first and second denoising results are fused as the output of the denoising module. This invention improves image detail recovery capabilities and achieves higher denoising accuracy and image quality.

This invention relates to the field of artificial intelligence technology and discloses an obstacle detection method and system based on unmanned mining trucks. One obstacle detection method for unmanned mining trucks includes: collecting and preprocessing vehicle data; constructing a dust and fog evolution prediction network to obtain a defogging multispectral image; extracting the distribution information of different materials in the scene to form an enhanced scene feature representation; performing adaptive fusion and uncertainty evaluation to obtain a gating feature representation; using an obstacle detection model to detect obstacles; and constructing a multidimensional occupancy grid to output multidimensional obstacle data. This invention overcomes the performance bottleneck of traditional defogging algorithms in heavy dust and fog environments in mining areas by decoupling from the dust and fog environment through physical modeling. By constructing a multi-vehicle collaborative perception network with sparse feature sharing, it overcomes the problems of blind spots and insufficient long-distance perception capabilities in single-vehicle perception, enhancing the system's detection reliability in dynamic and complex environments and ensuring the safety of autonomous driving operations in mining areas.

The present application relates to a kind of base station direct current comprehensive management and control device, belong to communication base station direct current power supply technical field.The device includes switching power supply, metering control module, direct current magnetic latching contactor, schottky diode, main control module, 4G communication module, visual identification module, base station standby battery, OLT standby battery, camera, infrared sensor, ultrasonic sensor, mains detection module, bluetooth module and the structure of FSU.The present application not only can realize the comprehensive management and control of base station direct current, can be carried out direct current management and control to single operator direct current load, also can realize the real-time monitoring of remote mountainous area and urban public security monitoring blind spot area communication base station, easy to popularize and apply.