1803 results about "Ambilight" patented technology

The invention discloses an end-to-end automatic driving method based on dynamic multi-modal fusion in a complex scene, and belongs to the technical field of automatic driving. In order to solve the problems of sensor perception deficiency, cross-modal feature mismatching, unstable trajectory planning and the like easily occurring in night, low-illumination and complex dynamic environments in the existing end-to-end automatic driving method, texture details of a camera mode and geometric structure features of a laser radar mode are respectively enhanced through a double-flow feature refining mechanism; the characteristic difference between different modes is relieved; an information-driven dynamic fusion strategy is designed, the fusion weight is adaptively adjusted according to scene factors such as environment illumination and obstacle density, and the scene sensitivity and discrimination ability of the model are improved; asymmetric convolution and a low-rank-sparse decoupling technology are introduced, multi-order reconstruction of key channels is carried out on the multi-modal features, and the path change modeling capability is enhanced; and in combination with time sequence dependence of waypoints, outputting a future trajectory through an autoregression decoder to realize high-precision trajectory prediction and stable decision control.

The invention discloses a physical attribute inversion and three-dimensional reconstruction method based on Gaussian splashing and micro-rendering, and belongs to the technical field of computer vision, and the method comprises the steps: generating a sparse point cloud based on a multi-view image to initialize a Gaussian ball; determining a Gaussian pivot point based on a Gaussian ball, constructing a self-adaptive tetrahedral mesh in combination with gradient optimization, extracting an explicit surface from the self-adaptive tetrahedral mesh, and sampling to obtain geometric information; predicting the physical attribute of each sampling point through an implicit texture network, and providing ambient light through an HDR ambient light map; geometric information, physical attributes and ambient light are used as input, a differentiable PBR renderer is adopted to generate a physical rendering image, multi-term loss function reverse optimization is constructed, and collaborative optimization and inversion of three-dimensional geometry and surface physical attributes are realized. According to the method, the problems of texture dislocation, thin-wall structure disappearance and high rendering calculation cost under dynamic topology are effectively solved, and a digital model with fine geometry and a realistic material can be efficiently recovered from a multi-view image.

The invention belongs to the technical field of intelligent operation and maintenance and automatic inspection of power equipment, and particularly discloses a power transformation and distribution station room inspection method and device based on multi-mode visual perception. The method comprises the following steps: controlling the intelligent inspection robot to move and synchronously acquiring visible light, infrared thermal imaging, partial discharge ultrasound and other multi-mode sensing data streams; generating an ultrasonic-guided enhanced infrared image, a power equipment structure map and an ambient light field distribution map through deep fusion in combination with ambient illumination parameters; and on the basis of the deeply fused information, generating a refined health state level of the power equipment, and finally automatically generating an inspection report conforming to the regulation. According to the invention, through deep cooperation and mutual verification of the multi-modal data, the perception robustness and diagnosis accuracy of early faults and abnormal states of equipment in a complex environment are improved, intelligent inspection from later judgment to beforehand prediction is realized, and the power supply safety of a power transformation and distribution station room is guaranteed.

The invention relates to the technical field of screen display adjustment and visual health protection, and discloses a screen color temperature intelligent adjustment method and system, and the method comprises the steps: obtaining a user face image sequence and ambient light perception data; according to the face image sequence, eye features are extracted, a dynamic change trend is analyzed, blinking frequency and eyelid closing duration data are calculated, and a visual fatigue evaluation value is obtained; according to the ambient light sensing data and the visual fatigue evaluation value, correcting the fatigue degree and classifying fatigue stages to obtain color temperature and brightness adjustment parameters; and transmitting the adjustment parameter to a screen display driver for gradual change processing to obtain a final screen display configuration. According to the method, personalized accurate adjustment of the screen parameters is realized, visual fatigue is effectively relieved, and the use experience and the visual health protection effect are improved.

The invention relates to the technical field of intelligent control, and discloses an ultra-low power consumption miniature LED visible light intensity self-adaptive regulation and control method and system, and the method comprises the steps: obtaining an analog light intensity signal, and carrying out the smoothing processing of the analog light intensity signal, and obtaining an environment light intensity value; calculating a light intensity change rate, and if the light intensity change rate exceeds a dynamic threshold value, marking an environment state and outputting a light intensity difference value; generating a preliminary adjustment instruction according to the state matching control parameter and the difference value quantization mapping, and calculating target light intensity in combination with the basic brightness; after executing the instruction, calculating actual and target deviation, and iteratively correcting to obtain a light intensity control signal; if the power consumption exceeds the limit, optimizing the signal amplitude; the input driving circuit analyzes the synthesized pulse current, excites pixels to emit light and gathers to obtain adjustment data; and if the visual contrast is lower than a threshold value, the change rate is adjusted again to realize closed-loop refining, and the light intensity adjustment accuracy is improved. The method can improve the real-time sensing capability of ambient light.

The invention provides a warning method and system of an intelligent tripod warning lamp, and relates to the technical field of intelligent vehicle-mounted technologies. When a vehicle is in danger, vehicle state information is collected to automatically generate a warning trigger instruction, and a rear target projection point is determined based on a road type and a vehicle position; projection parameters are calculated in combination with vehicle postures, a vehicle-mounted projection light source is driven to generate a triangular warning graph on the ground at the target distance, meanwhile, light beam output is adjusted in a self-adaptive mode according to environment illumination and visibility, and it is guaranteed that the graph is clear and visible and conforms to human eye safety; the projection position and parameters are dynamically updated to maintain stable warning during the duration of the dangerous state, and the system is automatically closed and reset when the danger is relieved or manual termination is performed, so that the risk of manual arrangement is avoided, and long-distance stable warning is realized.

The invention discloses a low-power-consumption brightness adaptive control method and system based on photosensitive perception, and relates to the technical field of LED brightness control. Comprising the following steps: S1, collecting brightness control data in real time, performing amplitude screening, and extracting ambient light features; s2, analyzing a relative relationship between local and extended fluctuations, and performing weighted fusion on the illumination features to form a trend illumination trajectory; s3, analyzing a change rhythm of local average illumination, identifying an illumination continuous change stage, constructing a mutation judgment index, and judging short-time false mutation; s4, target brightness is calculated, an error suppression mechanism is constructed, a brightness adjustment step length is generated, an updated duty ratio is obtained, and boundary and change rate limitation is executed; and S5, judging a working state, and executing different sampling frequency adjustment and power consumption management strategies. The problem that in a complex outdoor illumination environment, real illumination change and short-time pseudo mutation are difficult to distinguish, and consequently brightness adjustment is prone to flickering and instability is solved.

The invention relates to the technical field of machine vision detection, particularly discloses a mechanical part surface defect vision detection system, and aims to solve the problems of blind areas, environment light sensitivity, insufficient tiny defect detection capability and the like in the detection of complex curved surface high-reflection parts. Comprising an optical imaging module, a geometrical morphology sensing module, a dynamic polarization regulation and control module, an image fusion and enhancement module and a defect identification and decision module. The three-dimensional morphology of the surface of the part is sensed in real time, the imaging polarization state is dynamically regulated and controlled according to the three-dimensional morphology, multi-frame polarization image fusion and digital diffraction enhancement processing are combined, full-coverage and high-contrast detection of the complex curved surface part is achieved, motion blur is effectively restrained, and the detection capacity of sub-pixel-level tiny defects and the system environment adaptability are improved.

The invention discloses an eye protection display control method and system based on ambient light, a medium and a product, and relates to the field of data processing. The method comprises the following steps: acquiring data such as vehicle internal environment illumination, a solar azimuth angle, a driving posture and relative positions of eyes of a driver and a display screen; based on the data, determining an estimated glare area and corresponding intensity within a preset time by analyzing the reflection condition of external illumination on the surface of the display screen; defining a target dimming area from a polymer dispersed liquid crystal dimming layer on the surface of the display screen according to the pre-estimated glare area; determining a driving voltage parameter of the target dimming area according to the estimated glare intensity so as to adjust the scattering degree of the target dimming area; and dynamically optimizing the display effect of the pre-estimated glare area in combination with the environment illumination data, the display content of the glare area and the scattering degree. The problem that the eyesight of a driver and the driving safety are affected due to the fact that a glare area is formed on the surface of the vehicle-mounted display screen by ambient light can be relieved.

The invention relates to the technical field of intelligent illumination control, and discloses an intelligent enhancement method and system for the brightness of an LED light-emitting module, and the method comprises the steps: collecting environment illumination data and LED module operation state data, and carrying out the preprocessing; acquiring cultural relic material information, performing exhibit change detection, determining an illumination constraint threshold, calculating effective illumination and tracking accumulated exposure; determining an illumination safety boundary and dynamically modulating an LED spectrum; performing hierarchical coordination by adopting a three-layer game decision framework; a three-dimensional light field representation framework is constructed through audience behavior perception and visual attention prediction, and space illumination optimization is carried out; environment sudden changes and audience behaviors are detected, and quick response adjustment is executed; analyzing lighting space-time distribution characteristics, performing dynamic power distribution and generating an intelligent dimming curve; according to the invention, environmental perception, cultural relic protection constraint, light attenuation compensation, multi-module cooperation and intelligent decision can be comprehensively considered.

The invention discloses a stereoscopic vision optimization method and system for a naked-eye 3D large screen, and particularly relates to the technical field of naked-eye 3D vision optimizing.The method comprises the steps that environment illumination and audience positions are sensed in real time through multi-sensor fusion, and an environment light field model is established; glare crosstalk noise is predicted based on physical simulation, and self-adaptive suppression and compensation are carried out in combination with human eye visual sensitivity and image content features; a virtual camera is dynamically generated according to the real-time positions of the eyes of the audience, and a lightweight neural radiation field renderer is used for real-time re-rendering, so that motion parallax is realized; and finally, intelligently fusing the glare compensation layer and the perspective correction layer, coding and outputting to a screen. The system correspondingly comprises an environment perception module, a glare compensation module, a perspective rendering module and a fusion coding module. The naked-eye 3D large-screen display method effectively inhibits ambient light interference, improves the quality and immersion of a stereoscopic picture under different visual angles, and is suitable for naked-eye 3D large-screen display under outdoor and complex illumination environments.

A cockpit display system includes a cockpit, a first display apparatus, a first light sensor, a second light sensor and a brightness distribution calculation module. The first light sensor is suitable for detecting a first ambient light brightness. The second light sensor is suitable for detecting a second ambient light brightness. The brightness distribution calculation module is suitable for respectively calculating a first brightness and a second brightness of the first display area and the second display area of the first display apparatus under a same display gray level according to the first ambient light brightness and the second ambient light brightness. The first brightness and the second brightness are different from each other.

The invention discloses a display panel and a display device.The display panel comprises a display area and a non-display area surrounding the periphery of the display area, the display area comprises a plurality of opening areas arranged in an array and non-opening areas surrounding the peripheries of the opening areas, and the display panel further comprises a display unit and a driving unit, the display unit is arranged corresponding to the opening area, the driving unit is configured to apply an electric field to the display unit, and the display unit can selectively adjust the internal state according to the direction of the electric field of the driving unit, so that light of an internal light source passes through the opening area or reflects light of an external environment. According to the technical scheme, the advantages of a liquid crystal display screen can be reserved, and the advantages of a novel display panel are achieved.

The invention provides a display screen dynamic control method and system, and relates to the technical field of data processing, the method comprises the following steps: constructing a space coordinate system comprising a plurality of entity nodes, the entity nodes comprising a display screen preset angular point, a user binocular vision center and a handheld interaction device; analyzing a relative pose relationship among the nodes by calculating a projection dot product of a space vector corresponding to each node; constructing a dynamic topology network based on the relative pose relationship, and synchronously collecting environment illumination intensity, user fixation point coordinates and user pose data; performing time sequence synchronization and Kalman filtering preprocessing on the acquired multi-modal data to obtain an initial feature set; and generating a spatial calibration coefficient according to the distribution characteristics of the dynamic topology network, and performing normalization compensation on the initial feature set through the calibration coefficient to obtain a calibrated multi-modal sensing feature vector. According to the invention, accurate and intelligent dynamic control is realized.

The invention belongs to the technical field of tunnel lighting, and provides a tunnel intelligent lighting system based on self-luminous paint, which comprises an LED lamp fixed in a tunnel, the self-luminous paint, an environment monitoring module and a control terminal, the self-luminous paint is coated on the inner wall of the entrance of the tunnel, the environment monitoring module is fixed at the entrance of the tunnel, and the control terminal is connected with the LED lamp. And the control terminal is used for detecting the illumination intensity outside the tunnel, the meteorological data, the speed of the vehicle and the brightness of the self-luminous coating, is in communication connection with the environment detection module and the LED lamp, and adjusts the brightness of the LED lamp according to the meteorological data, the speed of the vehicle and the brightness of the self-luminous coating. The self-luminous coating and active LED lighting can be cooperatively controlled, the problems that a traditional system is poor in visual adaptation, high in energy consumption and low in reliability are solved, the LED light supplementing amount is dynamically adjusted according to environment illumination, meteorological conditions, the vehicle speed and the actual brightness of the coating, active and passive light source complementation and accurate dimming are achieved, and the black and white hole effect is effectively relieved.

The invention discloses an AI visual defect identification and detection method integrated with a light supplementing module, and relates to the technical field of computer vision, and the method comprises the following steps: S1, data acquisition: carrying out multi-angle shooting on a product at a fixed station of a production line by using an industrial camera integrated with the light supplementing module, the light supplementing module automatically adjusts the illumination intensity and angle according to product surface characteristics and ambient light conditions; s2, image preprocessing; s3, feature extraction; s4, defect classification / positioning; and S5, outputting a result. According to the AI visual defect identification and detection method integrated with the light supplementing module, the light supplementing module is integrated, and the programmable LED light source array is adopted, so that the change of the illumination intensity of a production line can be sensed in real time, and the illumination intensity and the angle can be automatically adjusted, and therefore, the problem that the local part of an image is too bright or too dark due to ambient light fluctuation can be effectively avoided; especially for highly reflective materials such as metal and coated surfaces, the light supplementing module can select the angle combination with the weakest reflected light for light supplementing.

The invention discloses a near-to-eye display system based on a short-focus turn-back light path. The near-to-eye display system comprises a curved-surface display screen, a first lens and a second lens which are sequentially arranged from the environment side to the human eye side. Wherein the curved display screen is a transparent display screen; the first lens and the second lens do not have perspective focal power to natural light; the polarizing film systems are arranged on the surfaces of the first lens and the second lens, so that light emitted by a display screen passes through the first lens in a transmission manner, is reflected and amplified twice by the second lens and the first lens in sequence, and finally enters human eyes for imaging; ambient light transmits through the display screen, the first lens and the second lens and enters human eyes for imaging. The near-to-eye display system is realized based on a short-focus turn-back light path and a transparent curved-surface display screen, and can realize augmented reality display with a large field angle.

The invention relates to the technical field of dead pixel detection and compensation of a digital light processing projection system, in particular to a DLP dead pixel calibration and compensation method and system based on a Transform attention mechanism. According to the DLP dead pixel calibration and compensation method based on the Transform attention mechanism, a multi-scale feature pyramid is constructed, global features are extracted by using a layered multi-mode Transform encoder, and a dead pixel confidence coefficient heat map is generated in combination with a dynamic sparse mask multi-head attention mechanism; dynamically selecting compensation strategies for different types of dead pixels by adopting a dead pixel type-scene demand dual-drive time-space domain compensation pipeline; ambient light and partition temperature sensor data are integrated, and the influence of optical crosstalk and thermal drift is eliminated through a brightness adaptive calibration function; and finally, carrying out closed-loop verification and iterative optimization by adopting a loss function fused with HVS perception loss. According to the method, the defective pixel detection precision is improved from 82.3% to 99.2%, the PSNR after compensation is improved from 32.6 dB to 42.5 dB, the processing delay is reduced to 7ms / frame, and the visual quality and reliability of a DLP system are improved.

The invention relates to the technical field of artificial intelligence, and particularly discloses an interactive intelligent content generation method and system based on AIGC. The method comprises the steps that a user editing instruction is collected and analyzed to obtain a first semantic body, and meanwhile a target change vector is extracted; performing connectivity analysis on the high-response pixel points to determine a candidate linkage area; obtaining a candidate linkage area, judging whether a physical shielding or self-shielding effect exists or not, and screening an effective response area; performing attenuation correction on the target change vector, and deriving a collaborative mapping parameter; and constructing a light and shadow guide matrix based on the collaborative mapping parameters, and performing directional guide processing on the effective response area. The system comprises an intention analysis module, a communication analysis module, a region screening module, an attenuation correction module and a synchronous rendering module. According to the invention, synchronous rendering of semantic subject change and ambient light and shadow effects can be realized.

The invention provides a fatigue state monitoring method based on multiple modes and an integrated binocular camera. The fatigue state monitoring method comprises the steps that color face image data and infrared face image data corresponding to a driver are collected; collecting motion state data of target driving equipment through a multi-axis acceleration collection module and collecting environment illumination data through an illumination collection module; first facial features corresponding to the driver are extracted from the color facial image data, and second facial features corresponding to the driver are extracted from the infrared facial image data; and inputting the first facial feature, the second facial feature, the motion state data and the environment illumination data into a preset fatigue state fusion decision model to obtain a fatigue state analysis result of the driver. Multi-source and multi-mode fatigue state analysis is carried out on the fatigue state of the driver through the sensor integrated in the integrated binocular camera, the structure is simple, power consumption is reduced, occupied space is reduced, multi-source fusion is achieved, and final analysis precision is provided.

The invention relates to the technical field of landscape lamp verification, and discloses an LED landscape lamp field arrangement lighting effect verification method, which comprises the following steps of collecting lamp parameter data of LED landscape lamp field arrangement and field environment optical parameter data; performing lighting effect simulation analysis processing based on the lamp parameter data and the field environment optical parameter data to generate simulated lighting effect distribution data; by collecting environmental optical parameters in real time and integrating lighting effect simulation analysis, the influence of environmental light change on lighting effect comparison can be dynamically detected, meanwhile, environmental fluctuation interference is automatically eliminated by adopting environmental light compensation correction processing, the consistency deviation of simulation data and actual measurement data can be reduced, the accuracy and reliability of lighting effect comparison can be ensured, and the accuracy and reliability of lighting effect comparison can be improved. And inspection errors caused by environmental factors are avoided.

A vehicle includes at least one exterior facing camera and a viewing screen in communication with a controller. The camera includes a red green blue (RGB) imaging sensor and a near infrared (NIR) imaging sensor. An ambient light sensor is disposed on the vehicle and detects a magnitude of ambient lighting in an exterior environment. The controller stores instructions for: Receiving a RGB image from the RGB imaging sensor at a time t, receiving a NIR image from the NIR imaging sensor at the time t, and receiving a lumens value of the ambient light at the time t. Preprocessing the RGB image into a processed RGB image using one of a plurality of preprocessing techniques dependent upon the lumens magnitude of the ambient lighting. Fusing the processed RGB image and the NIR image into a single viewing image using a neural network. Displaying the viewing image.

The invention discloses a printed pattern edge sharpening processing control and hardware imaging optimization system, and relates to the technical field of printed pattern imaging processing, and the system comprises a fragile feature pre-analysis module which recognizes the boundary of a fine line and a high saturation color block, and generates a feature map; the ambient light acquisition module obtains illumination parameters and positions a strong light reflection area; the structured light compensation imaging module projects adaptive structured light to optimize imaging; the texture layering module divides and marks image layers; and the layered sharpening module carries out differentiated sharpening on each image layer according to the ambient light parameters and outputs a high-quality image. According to the method, the fragile characteristics of the printing are accurately identified, and imaging optimization is carried out in combination with ambient light changes, so that edge sharpening and imaging quality collaborative improvement are realized; based on feature analysis and light parameter acquisition, an imaging strategy adaptive to a scene is constructed, layered differentiation sharpening is performed, accurate reduction of patterns is guaranteed, and high-precision printing detection and display requirements are met.

The invention discloses electronic paper display equipment and a feed protection and charging optimization method thereof. The electronic paper display equipment comprises an electronic paper screen; the energy storage unit is used for storing electric energy; the ambient light energy acquisition module is used for converting ambient light into electric energy and providing the electric energy to the power management module; the power management module is used for managing storage and distribution of electric energy and outputting a first voltage signal representing the real-time electric quantity of the energy storage unit and a current signal representing the real-time charging current to the main control module; the display driving module is used for driving the electronic paper screen to refresh pictures, and a power supply loop of the display driving module is controlled by the main control module; and the main control module is used for receiving the first voltage signal and the current signal, and generating a control instruction according to a comparison result of the real-time electric quantity and a first electric quantity threshold value and a comparison result of the real-time charging current and a first current threshold value. According to the invention, the problems of easy display abnormity, slow charging and incapability of automatic recovery during feeding of the electronic paper are solved, and energy autonomy and high-reliability operation are realized.

The invention relates to the technical field of computer display, and discloses an intelligent display optimization method and system for a notebook computer, and the method comprises the steps: detecting an environment illumination change signal, an application scene switching signal, a battery electric quantity change signal and a user interaction signal, and triggering a display optimization process; executing a display optimization process, and performing coupling relationship analysis on the backlight PWM modulation frequency, the RGB three-primary-color gain value, the liquid crystal driving voltage amplitude and the display module power consumption value to obtain a display coupling influence matrix; constructing a display system dynamic association model; performing nonlinear power consumption constraint boundary calculation on the current battery charge state value to obtain a display parameter dynamic constraint range; and performing display quality and power consumption balance solution based on the display parameter dynamic constraint range to obtain a display control instruction set, so that real-time dynamic control on display hardware can be realized, and compared with an off-line optimization or periodic adjustment mode in the prior art, the method has better real-time performance and adaptability.

The invention relates to a display color temperature synchronous control method and system for a multi-screen collaborative scene, and the method comprises the steps: collecting the dominant hue information of each display and environment illumination color temperature data in real time, and recognizing a dominant display; constructing a combined color temperature reference parameter containing a target color temperature reference value based on the data and the color temperature state of the dominant display; comparing the current color temperature of the non-dominant display with the reference parameters, and generating a step-by-step progressive adjustment instruction sequence; combining response delay characteristics to rearrange an instruction time sequence to form a synchronous execution scheduling table; and sending a control signal according to the dispatch table, and maintaining the state of the dominant display to realize color temperature synchronization. The method realizes multi-screen color temperature high-precision cooperative control, improves scene adaptability and visual experience, and is suitable for various multi-screen cooperative scenes.

The invention provides a digital photo frame energy-saving display method and system based on ambient light perception, and is applied to the technical field of digital photo frames. Detecting whether human body activities exist in the current environment or not; determining whether a preset energy-saving display condition is met at present according to the light intensity information and the human body activity detection result; if the energy-saving display condition is met, adjusting the display state of the digital photo frame to reduce power consumption; on the premise that acceptable watching experience is maintained, display is dynamically adjusted according to the environment light intensity and the human body existence state, and invalid power consumption of a display module and a master controller is reduced; ambient light perception and human body activity detection are comprehensively adopted, misjudgment caused by only depending on single light or passive infrared rays is avoided, the screen is turned on or turned off in time under the condition of no person or non-effective watching, and the invalid turn-on duration and energy consumption fluctuation are reduced.

The invention provides a projection lamp shadow effect intelligent adjustment method based on artificial intelligence, and the method comprises the steps: obtaining the material type and reflection coefficient of the wall surface of each region of an exhibition space through a pre-established wall surface material database, carrying out the classification processing according to the reflection characteristics of different materials, and obtaining a material reflection distribution diagram; acquiring light intensity distribution in the space based on stray light distribution characteristics, performing gridding decomposition on the light intensity distribution, and obtaining light intensity and light field distribution uniformity of each grid area through numerical integration; according to the adjusted projection angle and light source position, generating a control parameter for the projection equipment, adjusting the output intensity and direction of the projection light source, and obtaining the light distribution intensity after the control parameter of the projection equipment is adjusted; and if the contrast ratio and the color deviation value of the detail area do not meet the preset standard, optimizing the light source control parameters through an ambient light compensation mechanism in combination with the accumulated intensity data of the space corner to obtain a light compensation result.

The invention provides a display device and a display method, the display device comprises a display panel, a processing unit and a driving unit, and a plurality of ambient light sensors are integrated in the display panel. And the processing unit is connected with each ambient light sensor and is used for receiving the ambient light data sensed by each ambient light sensor and analyzing the ambient light data to obtain the distribution information of the ambient light. And the driving unit is connected with the processing unit and the display panel and is used for driving the display panel to adjust the light and shadow data of the display picture according to the distribution information. Therefore, by integrating a plurality of ambient light sensors, analyzing the ambient light data by the processing unit and adjusting the light and shadow data by the driving unit, real-time response to the ambient light is realized, the distribution change of the ambient light can be sensed in real time, the light and shadow data of a display picture is dynamically adjusted according to the distribution change, and the reality sense of the display picture and the scene fusion degree are improved.

The invention relates to the technical field of intelligent display, in particular to an intelligent identification method and system based on energy-saving control, and the method comprises the following steps: S1, collecting external environment parameters through a low-power-consumption sensor disposed in an intelligent identification device, the environment parameters comprising environment illumination intensity, a human body or object approach signal and equipment electric quantity information, and transmitting the environment illumination intensity to an intelligent identification device; the data of the environmental parameters are judged; the system can automatically adjust the display brightness and the refresh frequency according to the environment illumination, the target distance and the electric quantity, refresh according to the demand by combining the content priority, and automatically switch the working state and the dormant state according to the human body approaching, the timed task or the remote instruction; in the aspects of communication and energy management, the communication period and power consumption are adjusted in real time, energy self-balancing is achieved, and the service life of equipment is prolonged; in addition, the system periodically analyzes historical operation data and self-learns and optimizes control parameters, so that energy consumption is continuously reduced in long-term operation, display efficiency is improved, and performance stability is kept.