23 results about "Light Adaptations" patented technology

The invention provides a visual fatigue relieving method based on ambient light self-adaption and an AI algorithm, and relates to the technical field of visual health protection. The visual fatigue relieving method based on ambient light self-adaption and the AI algorithm comprises the following specific steps: S1, data acquisition: acquiring a user eye image sequence in real time through a high-frame-rate camera; and S2, parameter extraction: when the user uses the eye for the first time, testing the eyes by combining the adjustable light source with ambient light. Multi-dimensional features (such as eyeball movement, blinking mode, pupil function and the like) of eyes are collected in real time through a high-frame-rate camera, an individualized base line is established and a fatigue rate value is dynamically calculated in combination with data of an ambient light sensor, and conversion from passive response to active prevention is realized. Through a hierarchical intervention strategy (such as brightness adjustment, blue light control and forced rest), the visual load is remarkably reduced, the intervention efficiency is improved, and the problem of insufficient adjustment hysteresis and individual adaptability in the prior art is solved.

The invention relates to the technical field of vehicle-mounted display, and discloses a vehicle-mounted HUD environment illumination adaptive brightness adjusting system, which comprises an illumination acquisition module, a parameter analysis module, a model construction module, a brightness calculation module, an error evaluation module, a calibration correction module, a threshold setting module, a result output module, a feedback optimization module, a system regulation module and the like. The illumination acquisition module analyzes the illumination parameter stability and interference difference and generates an illumination perception state value; the parameter analysis module screens an optimal brightness and light intensity combination; the model construction module is used for training samples to establish a brightness and light intensity relation model; the brightness calculation module generates a brightness threshold by combining real-time illumination data mapping; the error evaluation and calibration correction module optimizes a calculation rule; and the feedback optimization module operates feedback adjustment parameters to finally generate an environment illumination adaptive brightness adjustment scheme. The system realizes accurate and dynamic adjustment of the brightness of the vehicle-mounted HUD, effectively adapts to the environment illumination change, improves the display effect and the driving safety, and has the characteristics of self-learning and self-optimization.

The invention discloses an organic semiconductor heterojunction photoelectric self-adaptive memristor and a preparation method thereof, and belongs to the field of neuromorphic devices, and the memristor sequentially comprises a substrate, a bottom electrode, a lower active layer, an upper active layer and a top electrode from bottom to top; the upper active layer is prepared from an organic material zinc phthalocyanine, and the lower active layer is prepared from an organic material N, N-tricosylperylene-3, 4, 9, 10-tetracarboxylic diimide. The memristor prepared by the invention realizes simulation of desensitization behavior and retina light adaptation function, and adaptivity modes are switched according to a stimulation type time-sharing trigger mechanism to support multi-mode perception and adaptive information processing in a dynamic environment, so that the development of a neuromorphic device for simulating the adaptivity function of a biological sensory system is promoted.

The invention discloses a tunnel light environment dynamic dark adaptation experiment method based on driver view, and relates to the technical field of tunnel illumination, and the method comprises the steps: collecting the view data and behavior data of a driver, obtaining the perception data of the driver in real time, and obtaining a driver view behavior data set; through a light source configuration strategy, tunnel illumination changes are simulated in combination with the virtual reality environment, experiment simulation is conducted, the visual adaptation process of a driver is evaluated, and virtual reality experiment evaluation data are obtained; and based on virtual reality experiment evaluation data, analyzing a visual adaptation condition of a driver and feeding back and adjusting a light source configuration strategy, obtaining a light adaptation strategy, and combining real-time driver feedback data and light environment changes to generate a light adaptation adjustment scheme. The visual comfort, alertness and safety of the driver are improved, the fatigue feeling caused by uncomfortable illumination is reduced, and the safety and comfort of tunnel driving are effectively improved.

The present application relates to the field of communication technology, and provides a Combo PON OLT packaging assembly and corresponding optical device. It includes first probe assembly accommodating cavity, second probe assembly accommodating cavity, third probe assembly accommodating cavity, laser assembly accommodating cavity and adjusting cavity respectively; each probe assembly accommodating cavity, laser assembly accommodating cavity and adjusting cavity are separated by a partition, and there is a light transmission port on the partition, which is used for connecting the corresponding accommodating cavity and adjusting cavity; the adjusting cavity is used for allowing the emitted light from the laser assembly accommodating cavity to emit from the light adaptation port, and allowing the probe light to pass through the light transmission port to the probe assembly accommodating cavity. The present application makes each component in a relatively independent space, thereby reducing mutual crosstalk, and enabling the probe light or emitted light of the probe assembly or laser assembly in each independent space to be combined or split in the adjusting cavity, thereby realizing the coupling of optical path while keeping each component space independent, and providing packaging basis for realizing 3-receiving and 3-emitting 6-way OLT device.

The invention discloses a vehicle control method, device and equipment for light and shade adaptation and a medium, and relates to the technical field of vehicle intelligent control. The method comprises the steps that the real-time light intensity in front of a vehicle is collected, the light intensity change rate is obtained through calculation, and the vehicle environment state is obtained through judgment based on the real-time light intensity and the light intensity change rate; and according to the vehicle environment state obtained through judgment, control over turning-on and brightness of vehicle lamplight and transparency of a front windshield of the vehicle is achieved. The step of collecting the real-time light intensity in front of the vehicle and calculating the light intensity change rate specifically comprises the following steps: collecting the real-time light intensity through a photosensitive sensor arranged in front of the vehicle; and a change value in unit time is calculated according to the collected real-time light intensity, so that the light intensity change rate is calculated. Visual impact and safety risks caused by light and shade adaptation to a driver can be effectively relieved or even eliminated.

The invention relates to the technical field of power system safety monitoring, in particular to a multi-mode fusion monitoring method and device for external damage prevention of a power line. The method comprises the following steps: acquiring three-dimensional point cloud data of a surrounding environment of a power line, and collecting a visible light image with low-illumination adaptability; projecting the three-dimensional point cloud data to a foreground view angle, correcting the point cloud in combination with a visible light image semantic segmentation result, projecting the point cloud to a bird's-eye view angle to extract high-level features, and performing cross-view-angle feature fusion on foreground and bird's-eye view angle features to generate a fusion feature map; extracting multi-scale features of the fusion feature map, performing three-dimensional target detection based on the features, and identifying potential external damage threat targets; the device comprises a multi-mode data acquisition module, a multi-mode sensing data fusion processing module and a three-dimensional target detection module. Through the above mode, the advantages of multi-modal data are fused, and the multi-view perception capability is combined, so that efficient and accurate identification of external damage threats in a complex environment is realized.

The invention discloses a multi-dimensional cooperative control system of an automobile electronic rearview mirror and the rearview mirror, and relates to the technical field of rearview mirror control, a main control module can monitor a fault of a multi-source sensing unit, and when the fault occurs, a user interaction terminal is notified to display a standby mode key; after a user triggers, the main control module instructs the bionic display unit to perform emergency display through a standby transmission line, the multi-source sensing unit collects and fuses millimeter wave radar, event camera and LiDAR data in a normal mode, the data is displayed by the bionic display unit after being subjected to space-time alignment processing, and the bionic display unit simulates a human eye retina structure and a light adaptation mechanism. The system can dynamically optimize the display effect, supports the establishment of stable communication through an Internet of Vehicles cloud platform or low-power-consumption Bluetooth, and is also provided with a display state monitoring module for feeding back the display state to confirm the emergency display effect. The system solves the problems of low multi-source sensing data fusion precision, poor display effect dynamic adaptability, unstable communication and imperfect fault handling mechanism in the prior art.

The invention discloses a grouper roe hatching device and a hatching method thereof, belongs to the technical field of grouper roe hatching, and aims to solve the problems that a traditional device is low in parameter regulation and control precision, roes are easily damaged by water flow, the illumination adaptability is poor and the labor cost is high. The device comprises a breeding box with a detachable roe isolation box, a water flow circulation system with an inclined flow distribution plate, an intelligent temperature control detection system integrating a constant temperature assembly and multiple sensors, a servo-driven adjustable lifting light supplementing mechanism and a nanometer refining disc oxygenation assembly. According to the method, incubation is completed through parameter presetting, dynamic temperature, oxygen and light regulation and real-time monitoring feedback. Water quality and temperature can be accurately controlled, roe damage is avoided, illumination requirements of different incubation stages are met, manual dependence is reduced, and the larva survival rate and the large-scale breeding efficiency are effectively improved.

The present invention relates to the field of display analysis technology, and specifically to a method and system for dynamically adjusting a display interface, comprising the following steps: parsing the rendering data streams of each screen in a multi-display system, identifying cross-screen repeated static areas and the current screen's dynamically updated areas, and outputting a cross-screen repeated mark set and a dynamic area coordinate set; calculating the backlight compensation requirement value of each screen based on ambient light sensor data, applying a shared rendering weight value to the cross-screen repeated static areas in combination with the cross-screen repeated mark set to achieve energy consumption correction for the cross-screen repeated static areas; creating a single-instance frame cache for the cross-screen repeated static areas; and configuring an ambient light adaptation rendering pipeline for the current screen's dynamically updated areas. The present invention significantly saves video memory resources and rendering energy consumption, reduces the video memory occupancy rate of static content, and improves the overall scheduling efficiency and energy efficiency of the system.

The present disclosure provides a light transmittance adjustment method, device and readable storage medium of vehicle window glass, relating to the technical field of vehicle intelligent control, the light transmittance adjustment method of vehicle window glass comprising: determining an adjustment parameter of the light transmittance of the vehicle window glass when it is determined that the vehicle will enter or exit a tunnel after a first time duration; adjusting the light transmittance of the vehicle window glass according to the adjustment parameter; the adjustment parameter is configured to adjust the light transmittance of the vehicle window glass to a target light transmittance when the vehicle reaches the tunnel entrance. This makes the driver no longer experience sudden light and dark changes when entering or exiting the tunnel, eliminates the visual impact of "light adaptation" or "dark adaptation" caused by adjustment lag, and improves driving safety.

The application relates to the technical field of foldable mobile phone screen adjustment, and discloses a data intelligent adjustment method for the adaptive screen of a foldable mobile phone. The method obtains monitoring data of multiple sensors of the foldable mobile phone within a preset time period, including deformation data of a screen bending area, ambient light intensity data and user holding pressure distribution data. After comparative analysis, real-time deformation deviation of each area of the screen is calculated, each partition light adaptation coefficient is determined, pressure distribution characteristics are generated, and a health degree evaluation value is obtained by comprehensively considering the two. Based on this, the monitoring data sample state is classified, and the screen display parameters are dynamically adjusted. The method can accurately match the screen bending state, ambient light and user holding habit, effectively improve the screen display effect, meet the diversified needs of users, prolong the service life of the screen, and bring a better experience to users of the foldable mobile phone.

The invention relates to the technical field of photovoltaic agriculture, in particular to a multi-environment perception driven crop power utilization coordinated regulation and control system under a photovoltaic panel. Comprising a multi-environment sensing unit; a crop electricity demand association unit; and the power utilization regulation and control execution unit adopts a dual-mode regulation and control algorithm of an improved depth deterministic strategy gradient DDPG + a lightweight convolutional neural network CNN. Through a bimodal regulation and control algorithm, in a normal state, a photosynthetic efficiency weight is adjusted according to a crop growth stage, the weight is additionally adjusted and increased after a scattered light scene is judged in combination with photovoltaic array parameters, and the power utilization requirements of different crop growth stages and the scattered light scene are met; the light adaptation critical value is adjusted according to the current difference of the photovoltaic string in emergency, and when the illumination change exceeds the critical value, the lightweight CNN is called to fuse the fault position and the crop partition to generate a partition instruction, the light supplementing intensity of the fault area is improved, the irrigation delay is compressed, the fault and the illumination sudden change are responded in time, and accurate matching of photovoltaic power supply and crop power utilization is achieved.

The invention relates to the field of solar supports, in particular to a multifunctional fan-shaped unfolding solar support and a using method thereof.The multifunctional fan-shaped unfolding solar support is provided with a cement base, a supporting base, a supporting column, a connecting assembly, an unfolding assembly, a support mechanism, a limiting mechanism and a solar panel; the cement base is poured and fixed to the bottom face where solar energy is installed, bottom fixing support is provided through the bearing characteristic of concrete, and foundation settlement or displacement in the outdoor environment is avoided. The supporting column drives the connecting assembly to rotate, the unfolding assembly and the support mechanism are combined to form a fan-shaped unfolding mechanism of the solar panel, the transverse angle of the top solar panel is adjusted through the supporting column, the longitudinal elevation angle of the solar panel is adjusted through the connecting assembly and the unfolding assembly, and precise illumination adaptation of the solar panel is achieved. Fan-shaped unfolding of the solar panel is adjusted through combined action of the unfolding assembly, the support mechanism and the limiting mechanism, the structure of the unfolding mechanism is simplified, the stability of fan-shaped unfolding operation of the solar panel is improved, and maintenance is convenient.

The invention belongs to the technical field of urban greening, and particularly relates to an under-bridge plant configuration method and system based on quantitative analysis of an illumination environment under a viaduct, and the method comprises the steps: building a three-dimensional space model through combining a viaduct structure and the environment; deploying monitoring points to actually measure illumination intensity data under the bridge in different seasons; carrying out solar radiation simulation by combining meteorological data, generating a photosynthetically active radiation distribution diagram, and verifying and fusing the photosynthetically active radiation distribution diagram and actually measured data; establishing a light adaptation feature database containing plant light compensation point and light saturation point parameters; the illumination distribution and other environmental factor data are fused, a fuzzy comprehensive evaluation algorithm is adopted to calculate a light ecological suitability index, and under-bridge space suitability grades are divided; and finally, matching each suitable-for-life grade sub-region with the plant light adaptation feature database to generate a sub-region plant configuration scheme. According to the method, the blindness problem existing in a traditional empirical plant configuration method is solved, scientization and precision of plant selection under the viaduct are achieved, and the plant survival rate and the landscape effect are remarkably improved.

The invention relates to a high-value coconut variety seedling rapid cultivation method based on day and night differential carbon dioxide enrichment and illumination coupling management, and belongs to the technical field of plant seedling propagation. The invention discloses a high-value coconut variety seedling rapid cultivation method based on day and night differential carbon dioxide enrichment and illumination coupling management. The method comprises the following steps: S1, seedling selection and treatment period setting; s2, performing CO2 enrichment management in the daytime; s3, performing low-CO2 ventilation management at night; s4, dynamic illumination adaptation management; and S5, performing conventional management. According to the high-value coconut variety seedling rapid cultivation method based on day and night differential carbon dioxide enrichment and illumination coupling management, the photosynthetic carbon assimilation efficiency is enhanced, the seedling stage of seedlings of the variety is successfully shortened from 12 months to 6 months, meanwhile, the stem diameter and biomass accumulation of the seedlings are remarkably superior to those of 12-month-old seedlings cultivated conventionally, and the yield of the seedlings of the variety is improved. The method is fundamentally different from a CO2 enrichment technology for tissue culture seedlings, and has extremely high commercial value and popularization prospect.

The invention provides an image and video processing method and device. The method comprises the following steps: synchronously acquiring a first media stream and a second media stream; wherein the first media stream is acquired by a front camera arranged on the electronic equipment, and the second media stream is acquired by a rear camera arranged on the electronic equipment; performing background optimization processing on the second media stream to generate a corresponding third media stream; performing region positioning processing on the first media stream to obtain an iris region; carrying out iris segmentation processing on the iris region to generate a corresponding mask set; performing perspective transformation processing and illumination adaptation processing on the third media stream based on the mask set to generate a fourth media stream; and displaying the fourth media stream in real time or statically. The method can support dynamic and static integrated shooting, has the intelligent scene understanding and purifying capability, can realize high-precision iris dynamic tracking with a smooth time sequence, and enhances the fusion reality sense and the adaptive capability.

The invention relates to the technical field of foldable mobile phone screen adjustment, and discloses an intelligent data adjustment method for a self-adaptive screen of a foldable mobile phone. The method comprises the following steps: acquiring monitoring data of a plurality of sensors of the foldable mobile phone in a preset time period, wherein the monitoring data comprises deformation data of a screen bending area, ambient light intensity data and user holding pressure distribution data; and comparing and analyzing, calculating real-time deformation deviation of each area of the screen, determining light adaptation coefficient of each area, generating pressure distribution characteristics, and integrating the two to obtain a health degree evaluation value. Based on the state classification of the monitoring data sample, the screen display parameters are dynamically adjusted. According to the method, the screen bending state, the ambient light and the user holding habit can be accurately matched, the screen display effect is effectively improved, the diversified requirements of the user are met, the service life of the screen can be prolonged, and better experience is brought to the foldable mobile phone user.

This invention discloses the application of the TOE1 protein and its encoding gene in improving the tolerance of tomatoes to strong light stress or in breeding for strong light tolerance, belonging to the field of biotechnology. This invention is the first to discover that the TOE1 protein and its encoding gene play a crucial role in regulating the strong light adaptation of tomatoes. By inactivating the TOE1 protein or knocking out its encoding gene, the anthocyanin accumulation response in tomatoes under strong light stress can be reduced, thus improving the tomato's tolerance to strong light stress. Using genome editing technologies such as CRISPR / Cas9, targeted knockout of the TOE1 protein was used to create TOE1 mutant materials. These materials can alleviate the growth burden that may be caused by the severe photosensitivity response induced by excessive light in summer or in high-light areas of greenhouse agriculture, helping plants maintain more stable photosynthetic growth under strong light conditions, and providing core germplasm resources for breeding new tomato varieties adapted to high-light environments.

The utility model relates to the technical field of panel lamps, in particular to a hoisting type panel lamp frame structure which comprises a panel lamp and a top cover matched with the panel lamp, the panel lamp comprises a lamp body, an outer frame panel is arranged on the outer side of the lamp body, four first fixing rings are arranged at the top of the outer frame panel, a rectangular opening is formed in the top of the top cover, and the panel lamp is arranged in the rectangular opening. Lifting assemblies are arranged at the positions, close to the front side and the rear side, of the top of the top cover correspondingly, two connecting ropes are connected to the lifting assemblies, the bottom ends of the four connecting ropes are connected with the four first fixing rings correspondingly, second fixing rings are arranged at the positions, close to the four corners, of the top of the top cover correspondingly, and a mounting top plate is arranged over the top cover. According to the frame structure of the hoisting type panel lamp, the panel lamp can be easily lowered to a safe and accessible height when needing to be repaired or replaced through the lifting function, the maintenance difficulty and the time cost are reduced, and the maintenance efficiency is improved.

This invention relates to the field of human-computer interaction technology, and discloses a method and system for acquiring eye-tracking data based on human-computer interaction. The method includes acquiring ambient light intensity, head movement posture data collected by a posture sensor, and a sequence of raw eye images in a human-computer interaction scenario; performing adaptive brightness compensation and feature extraction on the raw eye image sequence based on the ambient light intensity and the head movement posture data, and smoothing it to obtain smooth trajectory data; performing offset compensation and position tracking on the smooth trajectory data based on the light adaptation coefficient and the extracted dynamic interference factor to obtain stable tracking coordinates; and performing frequency domain iterative noise reduction and desensitization correction operations on the stable tracking coordinates to obtain a gaze change sequence. This method can effectively eliminate the dual physical interference of drastic fluctuations in lighting and frequent head movements in dynamic scenes, achieving high-precision and high-continuity acquisition of eye-tracking data.

The present application relates to the technical field of examination image acquisition optimization, in particular to an AI-based examination image intelligent acquisition system, method and terminal device, the present application acquires original images through an image acquisition unit, a light source analysis unit generates a color temperature distribution heat map using a convolutional neural network, a dynamic compensation unit divides compensation grids accordingly and performs exposure compensation, an adaptive correction unit outputs a target image through bilinear interpolation and color space conversion, and a quality assessment unit triggers a hierarchical retake mechanism by comparing and positioning the color gamut value, solving the problems of insufficient complexity light adaptation and poor image quality stability in traditional technology, through the cooperation of multiple units driven by AI, high light-shade intelligent compensation, color space adaptive conversion and quality closed-loop control of the answer sheet image are realized, the accuracy of fill-in-the-blank point recognition and the image qualification rate are improved, and the efficient examination needs of large-scale examinations are met.

The present application relates to the technical field of vehicle display, and discloses a brightness adjustment system for vehicle HUD ambient light adaptation, which comprises illumination collection, parameter analysis, model construction, brightness calculation, error evaluation, calibration correction, threshold setting, result output, feedback optimization and system regulation modules. The illumination collection module analyzes the stability and interference difference of illumination parameters to generate illumination perception state values; the parameter analysis module selects the optimal brightness and light intensity combination; the model construction module establishes a brightness and light intensity relationship model by training samples; the brightness calculation module generates brightness threshold values by combining real-time illumination data mapping; the error evaluation and calibration correction module optimizes the calculation rules; and the feedback optimization module adjusts parameters through running feedback to finally generate an ambient light adaptive brightness adjustment scheme. The system realizes precise dynamic adjustment of the brightness of the vehicle HUD, effectively adapts to changes in ambient light, improves display effect and driving safety, and has the characteristics of self-learning and self-optimization.