3138 results about "Color temperature" patented technology

The invention discloses a high-precision image processing method and system based on illumination adaptive compensation, and relates to the technical field of computer vision and image processing, and the method comprises the steps: inputting an original image, and dividing the image into a high-frequency edge layer, an intermediate-frequency texture layer and a low-frequency illumination layer through a multi-scale residual network; acquiring illumination intensity, color temperature and scene categories in real time by using an ambient light sensor and a scene semantic segmentation model, and generating dynamic compensation parameters; carrying out dynamic range expansion on a low-frequency illumination layer based on a physical illumination model, and adjusting the weight of highlight suppression and dark area enhancement through a self-adaptive S-shaped exposure curve; a double-branch generative adversarial network is adopted, noise suppression and super-resolution reconstruction are carried out on the high-frequency layer, and texture detail enhancement is carried out on the intermediate-frequency layer; aligning the data of the depth camera and the infrared sensor with the visible light image through a cross-modal fusion module; and performing tone mapping on the fused image based on human visual characteristics, and outputting an enhanced image with a high dynamic range and reserved details.

The invention provides an LED light source uniformity and color deviation detection method, which comprises the following steps: setting environmental parameters of a constant temperature and humidity test box, monitoring the environment in the box in real time through a temperature and humidity sensor, and triggering a temperature and humidity control system to adjust when detecting that the temperature and humidity deviate from a set value; according to the initial color characteristic database, placing an LED light source in the constant-temperature and constant-humidity test box for an accelerated aging test, and obtaining spectral data of the light source at different time points by adopting a spectrum analyzer; calculating chromaticity coordinates, color temperatures and color rendering indexes corresponding to the spectral data at different time points, calculating a color deviation value of the LED light source, and fitting a change curve of the color deviation along with time; and according to an accelerated aging test result of the LED light source, calculating the color maintenance life of the light source in a high-temperature and high-humidity environment, and completing color deviation detection through a color stability uniformity index of the LED light source.

The invention relates to the technical field of display control, in particular to a display self-monitoring method and system and a display, and the method comprises the following steps: collecting light intensity data, comparing and classifying ambient light as low light, strong light or reflected light with a preset standard, judging whether a real-time color temperature and a standard color temperature difference value exceed a threshold value, if yes, adjusting the color temperature and the brightness, and if not, adjusting the brightness; pixel RGB channel proportions are extracted frame by frame, a color gamut distribution diagram is generated, restoration instruction time features are recorded, the color temperature adjustment trend is counted, and a backlight gradient compensation mode is generated. In the invention, the light intensity around the display is monitored in real time, the light intensity is compared with the preset illumination condition, and the ambient light condition is automatically classified, so that the display can adjust the color temperature and the brightness according to different illumination environments, and the backlight drive of the display is adjusted in time by analyzing the coverage areas of the red, green and blue channels in the display frame frame by frame; the adaptive capacity and the long-term stability of the display under variable illumination conditions are improved, and more optimized visual experience is provided for users.

The invention relates to the technical field of LED control, in particular to a fluorescent-powder-free multi-primary-color LED self-adaptive adjustment light source control system. The system comprises a spectrum distribution module used for obtaining environment multi-dimensional light data and an LED scene graph; spectral distribution feature mining is carried out on the environment multi-dimensional optical data, so that an environment spectral distribution diagram is constructed; the optimal demand module is used for performing optimal demand analysis on the environment spectrum distribution diagram based on the LED scene diagram to obtain optimal light source demand characteristic data; the optical characteristic module is used for carrying out current illumination color temperature identification on the fluorescent-powder-free multi-primary-color LED array so as to obtain LED array color temperature data; generating a current LED optical characteristic parameter based on the LED array color temperature data; and the dynamic color temperature adjustment module is used for performing output color temperature dynamic adjustment on the current LED optical characteristic parameters based on the fluorescent-powder-free multi-primary-color LED array so as to obtain dynamically-adjusted light source color temperature parameters. According to the invention, efficient and adaptive LED control is realized.

The invention relates to the technical field of intelligent lighting, and discloses a light emitting diode intelligent dimming system based on multispectral control, which comprises a multi-sensor data acquisition module, a data fusion processing unit, a user behavior prediction module, a dynamic spectrum adjustment module and the like. Environmental data are collected in real time through multiple sensors, user behaviors are predicted in combination with a machine learning algorithm, and personalized adjustment and dynamic response of illumination are achieved. The system can accurately adjust the color temperature, brightness and spectral distribution of the light source according to the changes of ambient light, temperature and humidity, human body activities and the like, and provides a more efficient and energy-saving illumination scheme. Meanwhile, through cooperative work of the Internet of Things technology and intelligent equipment, the comfort level of the whole environment is optimized. Particularly, the intelligent feedback and learning module of the system continuously optimizes the control strategy according to the use feedback of the user, the user experience and the adaptability of the system are further improved, and a comfortable and intelligent lighting environment is provided for the user.

The invention relates to the technical field of intelligent control, and discloses a light control method and system, a controller and a storage medium, and the method comprises the steps: collecting ambient light, human traffic and user preference data through multi-sensor fusion; after normalization processing, inputting a reinforcement learning model to dynamically calculate target brightness and color temperature, and generating a control instruction to adjust a lamp; and optimizing model parameters in combination with user feedback. The system integrates a data acquisition module, an intelligent processing module, a regulation and control execution module and a feedback optimization module to form a closed-loop control chain. The controller supports PWM dimming and a DMX512 protocol, an emergency module is arranged in the controller, and illumination is maintained according to a historical mean value when communication is interrupted. Through high-precision environment perception calibration, a multi-target dynamic dimming strategy, an intelligent closed-loop learning mechanism and a distributed fault-tolerant control system, the long-standing core problems of light sensation drift, strategy adaptation stiffness, strong cold start dependence, poor cluster stability and the like in the field of intelligent illumination are systematically solved.

The invention relates to an intelligent lighting control system with environmental perception, and aims to enhance the visual expressive force of artworks and improve the interactive experience of audiences by accurately controlling the lighting condition in an exhibition hall. The system comprises a system environment data acquisition unit, an intelligent control unit, a self-adaptive illumination execution unit and an interactive illumination adjustment unit. The environmental data acquisition unit is used for comprehensively monitoring environmental conditions in the exhibition hall. The intelligent control unit generates an optimized lighting strategy according to the collected data and artwork protection and display requirements. The self-adaptive illumination execution unit comprises a plurality of LED lamp sources capable of being independently adjusted, and light intensity, color temperature and light beam angles are adjusted according to the strategy of the control unit. And the interactive illumination adjusting unit is used for further optimizing the illumination setting. According to the system, the modern sensing technology and intelligent control are comprehensively utilized, an innovative solution is provided for art museums and museums, human cultural heritage is protected and displayed through science and technology, and meanwhile the sense of participation and educational value of the public are enhanced.

The invention discloses a BIM-based process simulation and consultation service support system and method, and relates to the technical field of three-dimensional modeling and visualization. The system comprises a BIM holographic data acquisition module, a process logic intelligent deconstruction module, a dynamic process simulation engine module, a physical field real-time monitoring module, an expert knowledge decision module and a visual scheme generation module. And multi-dimensional deviation early warning thresholds are set for different construction stages, the accuracy of conflict detection of various processes is ensured, meanwhile, environment illumination parameters collected by a sensor are linked with a BIM rendering engine in real time, the problem of light and shadow distortion in a digital twinning scene can be dynamically corrected, material texture misjudgment caused by illumination color temperature deviation is avoided, and the working efficiency of the digital twinning scene is improved. The accuracy of process conflict early warning is improved, and the construction safety risk and the resource scheduling error are reduced.

The invention provides an LED lamp intelligent energy-saving control method and system, and the method comprises the steps: obtaining environment illumination intensity data, personnel flow density data and current working state parameters of an LED lamp, which are collected by a plurality of sensors, carrying out the preprocessing of the original data of the sensors, and obtaining a standardized environment perception data set; calculating power resources required by the intelligent control system are evaluated according to the LED lamp control parameter optimization scheme, the brightness output of the LED lamp is controlled according to the calculating power resources, and the current proportion of red, green and blue LED chips is adjusted according to the color temperature; whether the light beam angle needs to be adjusted or not is judged through matching analysis of the light beam angle and environmental perception data, if yes, the lens position of the LED lamp is changed, and the output spectral characteristics of the LED lamp are measured and determined through a spectrum analyzer; after sensor calibration parameters are updated, LED lamp power consumption data are collected, and if the deviation between actual power consumption and a theoretical calculation value is smaller than a preset percentage, it is determined that the energy-saving control effect reaches an expected target.

The invention discloses a multi-scene adaptive visual acquisition system and method, and belongs to the technical field of image recognition, and the system comprises an environment sensing module which is used for collecting carrier vibration spectrum, multi-band illumination intensity and target depth information in real time; the dynamic zoom imaging module drives the focal length adjustment rate of the lens to be dynamically associated with the frequency of the high-frequency component output by the vibration sensor; and the cooperative control module executes vibration compensation, spectrum fusion and target positioning, dynamically calculates based on an illumination intensity ratio and color temperature, and dynamically configures a target positioning threshold according to a target pixel area. According to the invention, the dynamic correlation vibration frequency and the focal length adjustment rate are utilized, and mechanical anti-shake pre-focusing and electronic anti-shake optical flow methods are matched to realize accurate compensation of low-frequency continuous vibration and high-frequency impact vibration, so that the imaging stability is remarkably improved in a dynamic environment, and the phenomena of image blurring and edge blurring are effectively reduced.

An LED candle warmer lamp includes a base and a light diffusing shell. The light diffusing shell is connected to the base. An LED light strip is disposed between the base and the light diffusing shell. The LED light strip includes LED lamp beads. A limiting hole allowing a power line to pass through is defined on the light diffusing shell. The power line is electrically connected to the LED light strip. An accommodating groove is defined on a top end of the base. A fixing rod is disposed adjacent to one side of the accommodating groove. A heating lamp disposed over the accommodating groove is connected to the fixing rod. When in use, a candle is placed in the accommodating groove, the heating lamp is turned on, and a switch is turned on to control a brightness and a color temperature of the LED lamp beads.

The invention discloses a display method and system for a mini-computer host, and relates to the technical field of computer display, and the method comprises the steps: monitoring and analyzing the ambient light intensity and color temperature in real time through a built-in ambient light sensor of the mini-computer host, and collecting ambient light data; the display brightness and the color temperature are intelligently calculated and adjusted through a pre-trained deep learning model by using the ambient light data; when video stream coding parameters are dynamically adjusted, network conditions and video stream complexity are analyzed in real time, and resolution and frame rate are adaptively adjusted; and combining the optimized display parameters with the adjusted video stream and the display. Through ambient light intelligent perception, network path optimization and video stream parameter dynamic adjustment, the problems of complex illumination adaptability and smooth video playing in the prior art are solved, and the user experience is greatly enhanced.

The invention relates to a television box intelligent interaction control unit image processing method and device. The method comprises the following steps: carrying out feature analysis on an input video stream of the television box to obtain an enhanced video stream; the method comprises the following steps: collecting visual and voice interaction information of a user based on an intelligent interaction control unit, and inputting the visual and voice interaction information into a double-branch Transform model for multi-modal information fusion to obtain a fusion feature vector; performing conjoint analysis to obtain a user interaction intention and an interaction response strategy; performing local contrast enhancement and motion compensation to obtain a high-quality video frame sequence; and performing scene adaptive color space mapping and dynamic color temperature adjustment on the high-quality video frame sequence according to the environment light information acquired in real time and the pre-stored color characteristics of the display device to obtain an output video stream. According to the implementation of the method, limited computing resources can be fully utilized, efficient video processing and natural man-machine interaction are achieved, and meanwhile the display effect is dynamically optimized according to environmental changes.

The invention provides a multi-scale polarization data fusion method based on a 4K polarization imaging detector, and relates to the technical field of image processing, and the method comprises the steps: carrying out the adaptive edge detection of four original polarization images, generating a comprehensive edge image, and carrying out the definition scoring; performing color calibration on each original polarization image based on the ambient light intensity and the color temperature, and outputting a polarization image after color calibration and a color deviation score; combining definition scores, color deviation scores and global brightness information entropies of the four polarization images after color calibration to construct a multi-objective optimization function, and solving the multi-objective optimization function in a multi-exposure parameter space to obtain an optimal exposure parameter combination; applying the optimal exposure parameter combination to image capture of the next period, and calculating global quality reward values of four newly collected polarization images; when the global quality reward value meets a preset condition, wavelet decomposition and frequency division multi-scale fusion are carried out on the polarization images after color correction, a fused image is generated, and the quality of the polarization images is effectively improved.

The invention relates to the field of illumination control, and discloses a regional illumination control method and system, and the method comprises the steps: obtaining the equipment state information, illumination intensity and personnel image information of each sub-region of a target region; the sub-regions are determined based on the building layout and function purpose division of the target region; identifying a personnel activity type and a personnel position based on the personnel image data; obtaining a static illumination demand of each sub-region of the target region; the static illumination demand comprises a brightness value and a color temperature; inputting the personnel position, the personnel activity type, the illumination intensity and the static illumination demand of each sub-region into an illumination demand prediction model; the illumination demand prediction model outputs an expected illumination demand of each sub-region; and generating a lighting control strategy for an optimization target based on the expected lighting demand of each sub-region in combination with the lighting comfort and the service life of the lighting equipment. The method has the following effect that the light requirements of people in different activity scenes are met.

The invention discloses a video image color correction method and system based on artificial intelligence, and relates to the technical field of color correction, and the method comprises the steps: collecting video data, carrying out the image size normalization and denoising processing, and obtaining the preprocessed video frame sequence data; and extracting reflectivity data and illumination data by using a Retinex-Net deep learning model, calculating an illumination adjustment coefficient, carrying out pixel correction, and carrying out color temperature correction on the pixel data of the video frame subjected to pixel correction according to the illumination adjustment coefficient. According to the method, the preliminary color mapping matrix is generated through the color histogram matching method, the color distribution of the image can be optimized, the image is enabled to better conform to the color features of the target reference frame, the color temperature adjustment is performed on the image according to the illumination adjustment coefficient and the illumination threshold, the cold and warm tones of the video are enabled to be accurately adjusted, and the image quality is improved. Through successively carrying out pixel correction, color correction and local area correction, a stable color adjustment frame is provided, so that the video styles are consistent.

The invention relates to the technical field of self-adaptive control, in particular to an operation period building energy-saving low-carbon control method and system based on artificial intelligence, and the method comprises the following steps: collecting and analyzing the room use condition and illumination intensity, and obtaining an activity type recognition result; according to the invention, based on real-time analysis of room use conditions and illumination intensity, use modes of different areas are identified, and in combination with natural light changes and indoor activity requirements, required illumination intensity and color temperature adjustment parameters are dynamically calculated, so that accurate matching of illumination environments is realized. A dynamic feedback mechanism is established by monitoring the adjustment state of the lighting equipment in real time in combination with the change of the room use mode, the lighting deviation is adaptively corrected, and energy waste is avoided. By introducing reinforcement learning, the ventilation strategy can be continuously optimized through historical data and real-time feedback, personalized air quality management is achieved, and single adjustment is not executed based on a fixed threshold value.

The invention relates to the technical field of intelligent spectrum tuning, in particular to an intelligent spectrum tuning code scanning auxiliary lighting method, system and device and a medium. The method comprises the following steps: firstly, monitoring environment illumination intensity, color temperature and a light incident angle in real time through an illumination sensor, and meanwhile, detecting a spatial position relationship between a two-dimensional code and equipment by utilizing a distance sensor; the system performs intelligent analysis according to the real-time parameters, determines an optimal light supplementing strategy, and controls the RGBW LED array to output a corresponding spectrum combination; the system continuously monitors the scanning effect after light supplementation, and dynamically adjusts light supplementation parameters by evaluating the definition and contrast of the two-dimensional code until the optimal scanning state is reached; the environment illumination parameters and the spatial position parameters are combined for comprehensive analysis, and the RGBW LED array is adopted to realize adjustable spectrum output, so that the influence of the outdoor complex illumination environment on two-dimensional code scanning can be effectively overcome, and the payment efficiency is remarkably improved.

The invention relates to the technical field of image recognition, in particular to a bridge pier underwater structure image intelligent analysis method and system, and the method comprises the following steps: obtaining RGB channel values of all pixels of a bridge underwater structure image region, converting a main color temperature, generating a color temperature map, dividing the region in a vertical direction, extracting a main color temperature track, and carrying out the linear fitting. And comparing the residual error with a continuity threshold, and marking a color temperature continuous section. According to the method, a two-dimensional map is constructed through fusion of main color temperature and space coordinates, spatial distribution expression of a structural region is enhanced, a stable region is extracted by combining residual and continuity discrimination, interval judgment and RGB finishing are introduced into gray scale lifting, image brightness balance and color consistency are enhanced, a gray scale trend model is constructed through radial chain grouping, and light attenuation interference stripping is achieved. Feature point continuous frame tracking is combined with disturbance vector mapping, structure dynamic changes are captured, abnormal behaviors are recognized through cross analysis of tension differences and response terms, and efficient recognition and interference isolation under multi-dimensional feature fusion are achieved.

The invention relates to the technical field of display screen control, and discloses an LED display screen intelligent control system and method, and the system comprises a module M1 which is an environment perception and collection module; the module M2 is a dynamic display optimization module; the module M3 is a multi-mode cooperative control module; the module M4 is an intelligent fault tolerance module; the module M5 is an energy management module; the method comprises the following steps: S1, collecting data in real time through an environment sensing and collecting module; s2, according to environmental parameters; s3, designing a redundant drive circuit; s4, realizing partition management of the display content through a multi-mode cooperative control module; s5, the intelligent fault tolerance module automatically switches a standby communication link; s6, the driving current is dynamically adjusted according to the environment temperature and the display load; according to the invention, the adjustment parameters can be preloaded to the display driving main control unit, so that rapid and accurate adaptive adjustment of the brightness, color temperature and color gamut of the display screen is realized.

The invention discloses a multi-scene adaptive stage lighting control method and system and a medium, and relates to the technical field of novel lighting, and the method comprises the steps: obtaining a type parameter and initial environment data of a target stage scene, and obtaining an initial control parameter of a stage lighting system; in the process that the stage lighting system carries out scene light supplement according to the initial control parameters, performance dynamic data are collected in real time, and the adaptive deviation value of the current lighting effect and the scene type parameters is calculated; performing multi-dimensional parameter fusion processing on the adaptation deviation value to obtain a dynamic light adaptation parameter; according to the dynamic light adaptation parameters, calculating a light effect deformation quantity in the current scene, and according to the light effect deformation quantity, synchronously adjusting a projection angle, a color temperature parameter and a light intensity distribution model of the stage light device; the invention provides a stage lighting intelligent control technology which not only can adapt to various performance scenes, but also can improve the lighting control effect.

The invention relates to the technical field of display, and particularly discloses an intelligent self-adaptive eye protection display system which sequentially comprises a content analysis module, an ambient light detection module, an eye protection parameter calculation module, a display parameter adjustment module and a user feedback module. The system identifies the screen content type and the dynamic degree in real time, synchronously detects the ambient light intensity and the color temperature, obtains the optimal combination of the blue light proportion, the brightness, the contrast ratio, the color temperature and the sharpness through a multi-target optimization model, and smoothly adjusts the display through driving; a user can score, finely adjust and mark a scene, and feedback data enters a self-learning engine to iteratively update a parameter weight so as to form a content-environment-user closed loop. The system can significantly reduce blue light harm and improve visual comfort without external hardware.

The invention relates to the technical field of lighting, in particular to a driving power supply control circuit, a control method and a lighting application method. Comprising the steps that an acquisition module acquires spectral data and temperature data of a current environment; the receiving module receives the target color rendering index, the target color temperature and the target illumination; the control module is connected with the acquisition module and the receiving module, and is used for calculating a PWM duty ratio needing to be compensated according to the temperature data, obtaining a target PWM duty ratio based on the current color rendering index Ra, the current correlated color temperature CCT, the current illumination and the control parameters, and outputting a PWM signal based on the target PWM duty ratio and the PWM duty ratio needing to be compensated; and independent and stable constant-current signals are finally output by using the voltage balancing circuit and the driving module. The problems that an existing LED driving power source is single in function and lacks self-adaptive control capacity and monochromatic light trailing are solved. The LED powder-free lamp can continuously and stably operate, and meanwhile, high color rendering index and dynamic light color balance are achieved.

The invention discloses a lamp strip module atmosphere creating method based on scene induction control, and relates to the technical field of intelligent illumination control, and the method comprises the following steps: S1, collecting an original audio signal of a target space, extracting amplitude fluctuation, a spectrum structure and energy mutation features, recording the starting time and duration of a sound event, and constructing a sound source time sequence; according to the invention, through sound source time sequence modeling, abnormal behavior identification and environment trend analysis, in combination with a multi-dimensional consistency judgment mechanism, accurate response to an abnormal sound source is realized, safe transition is carried out through neutral color temperature lighting effect, and then light effect smooth regression is realized through dynamic recovery evaluation and a slow changing algorithm, so that the accuracy of the abnormal sound source is improved. An intelligent light control system with real-time perception, context understanding and closed-loop regulation and control capabilities is constructed, immersion experience and safety are improved, and the intelligent light control system has remarkable practical value and technical innovation.

The invention provides a multi-scene-oriented intelligent light adaptive control method and system, and the method comprises the steps: recognizing the current behavior state of a user based on visual sensor data, predicting the behavior state of the user, and outputting a light control behavior tag; combining the behavior label with a scene type and ambient light intensity to generate a target illumination intention vector; according to the target illumination intention vector, in combination with an illumination control conflict situation, real-time lamp parameters and user space state data, calculating an illumination weight of each lamp to a user, distributing brightness and color temperature parameters, and in combination with the target dimming process duration, generating a lamp control parameter set; and converting the lamp control parameter set into a dimming instruction sequence, performing time synchronization and delay compensation, and issuing the dimming instruction sequence to each lamp for execution. According to the method, accurate mapping from behavior intention to physical illumination is realized, and the method has extremely high universality, deployability and engineering controllability.

The invention relates to the technical field of intelligent lighting, and discloses a high-luminous-efficiency LED lamp module lighting system which comprises a high-luminous-efficiency LED lamp module used for emitting a light source with preset brightness and color temperature. The constant illumination sensor is used for detecting ambient light in real time and automatically adjusting the brightness of the LED lamp module through a negative feedback algorithm; the existence induction sensor is used for detecting the existence of personnel and triggering the lighting state of the LED lamp module; and the dimming and color adjusting module is electrically connected with the high-luminous-efficiency LED lamp module and is used for adjusting the brightness and the color temperature of the light source according to the output signal of the constant illumination sensor. The purpose of saving energy is achieved through intelligent dimming, constant illumination and existence induction technologies, and energy consumption is remarkably reduced; high-quality lighting which is free of stroboflash, low in glare, healthy and capable of protecting eyes is provided, and the comfort level of a user is improved; the wireless ad hoc network technology is adopted, installation and maintenance are easy and convenient, high expansibility and stability are achieved, and remote management and upgrading are supported.

The invention relates to the technical field of paper marking image acquisition optimization, in particular to an intelligent paper marking image acquisition system and method based on AI and terminal equipment. An original image is acquired through an image acquisition unit, and a color temperature distribution thermodynamic diagram is generated by a light source analysis unit through a convolutional neural network; the dynamic compensation unit divides compensation grids and executes exposure compensation, the self-adaptive correction unit outputs a target image through bilinear interpolation and color space conversion, and the quality evaluation unit compares a positioning mark color gamut value to trigger a grading re-shooting mechanism. The problems of insufficient complex illumination adaptability and poor image quality stability in the prior art are solved, highlight-shadow intelligent compensation, color space adaptive conversion and quality closed-loop control of the answer sheet image are realized through AI-driven multi-unit cooperation, the full-filling point recognition accuracy and the image qualification rate are improved, and the image quality is improved. And the high-efficiency examination paper marking requirement of large-scale examination is met.

A device includes a first light-emitting subassembly to emit light at a first correlated color temperature (CCT) comprising a first phosphor and a first light-emitting device positioned to excite the first phosphor. The device also includes a second light-emitting subassembly to emit light at a second CCT comprising a second phosphor and a second light-emitting device positioned to excite the second phosphor. The device also includes a third light-emitting device to emit light at a third CCT. The device may also include a control circuit configured to provide first controlled power to the first light-emitting device, second controlled power to the second light-emitting device, and third controlled power to the third light-emitting device. The device includes one or more inputs to the control circuit to provide power, brightness information, and target color temperature information to the control circuit.

The invention relates to the technical field of camera control, and discloses a megapixel camera control method based on multifunctional fusion. The method comprises the following steps: acquiring original image data of an image sensor, and preprocessing to generate an initial brightness distribution diagram; and calculating a scene dynamic range to determine a target exposure parameter set containing exposure time, a gain coefficient and an aperture value, synchronously analyzing color temperature information, matching a preset white balance model to output a correction coefficient, and combining the two to generate a first control instruction to be sent to the image sensor. Receiving a touch screen focusing signal, and extracting a focus area coordinate to adjust a stroke parameter of a focusing motor; ambient light intensity is monitored in real time, and when the ambient light intensity is lower than a preset threshold, a flash lamp compensation module is activated and a compensation light quantity value is calculated. In the photographing mode, the output power of the flash lamp is adjusted according to the compensation light quantity value, the target exposure parameter set is recalibrated based on the focus area coordinates, and the camera complex scene adaptation and imaging quality are improved.

The invention relates to the technical field of optical engineering, in particular to a training method based on an illumination optimization model. The method comprises the following steps: acquiring exhibition hall illumination data, and performing exhibition hall illumination feature extraction and exhibit area illumination feature extraction according to the exhibition hall illumination data so as to obtain exhibition hall illumination data and exhibit area illumination data; performing light source position optimization analysis according to the exhibition hall illumination data to obtain exhibition hall light source position optimization data; obtaining standard illumination data of the exhibit area; performing color temperature anomaly analysis on the exhibit area illumination data according to the exhibit area standard illumination data so as to obtain exhibit area color temperature anomaly data; performing exhibit color distortion analysis according to the exhibit area color temperature abnormal data to obtain exhibit color distortion data; and performing color temperature dynamic compensation according to the exhibit color distortion data so as to obtain exhibit area color temperature dynamic compensation data. The lighting quality and energy efficiency are improved based on the optical engineering technology.