3041 results about "Green-light" patented technology

The invention discloses a road traffic signal control system and method, and the method comprises the steps: collecting real-time data through a sensor, a camera and a geomagnetic device, combining historical data with emergency analysis, and predicting a flow mode and a change trend; green light time distribution is dynamically optimized, a fixed timing, inductive and adaptive control strategy is adopted, and traffic light duration and priority adjustment is achieved; through regional cooperation and linkage control, green wave bands and branch intersection red light optimization are set, and peak period traffic signals are intelligently dispatched. A machine learning model is used to predict a flow peak value, environment and accident detection data are combined, a signal lamp period is dynamically adjusted, vehicle waiting time, traffic efficiency, carbon emission and traffic satisfaction are evaluated, and a traffic control strategy is comprehensively optimized. According to the road traffic signal control system and method, the traffic flow in different time periods is predicted by adopting the flow prediction model based on big data analysis and machine learning, and the signal period is adjusted in advance.

The invention discloses an intelligent signal lamp phase optimization method and system based on vehicle infrastructure cooperation. According to the invention, through the dynamic game model, the system can sense multi-dimensional states such as traffic flow and pedestrian waiting time in real time, dynamically adjust demand weights of vehicles, pedestrians and roadside facilities, flexibly allocate green light duration, i.e., multi-direction multi-passing time of vehicles and multi-pedestrian time period to preferentially guarantee the street crossing demand; the average waiting time of vehicles and pedestrians is effectively shortened, the overall traffic efficiency of the intersection is obviously improved, and the suitability of daily traffic operation is obviously improved. The dynamic game model rapidly recognizes special requirements through a state value function, dynamically improves the weight priority of emergency vehicles or pedestrians, guarantees the efficient passing of key scenes (such as the rapid passing of emergency vehicles), avoids the long-time overstock of vehicles in other directions, and improves the safety of emergency vehicles or pedestrians. And the response capability and coordination level of the system to complex and emergent scenes are obviously enhanced.

The invention provides a fluorescence imaging method and device based on light source intensity adjustment and a storage medium, and the method comprises the steps: in a PDD fluorescence mode, when a blue light source is turned on, after blue light is reflected by an observation tissue, filtering a spectrum of a green fluorescence wave band generated by excitation of riboflavin through a notch filter; in the photodynamic white light image mode, red light, green light and blue light emitted by the red light source, the green light source and the blue light source are adjusted through the light compensation module according to preset light power, so that the light is reflected by observation tissue and then passes through the notch filter to be white light, and the light compensation module controls the light power output by the red light source and the light power output by the blue light source to be consistent. The green light output power is higher than the light power of the red light or blue light. By combining the notch filter and the light compensation module, the problem that in the PDD fluorescence imaging process, green fluorescence generated by excitation of riboflavin affects the contrast ratio of PDD fluorescence imaging is solved, and meanwhile color rendition of traditional white light imaging can be guaranteed.

The invention discloses a carbon-coated foil coating uniformity detection method and system based on machine vision, and the method comprises the steps: S1, collecting blue light, green light, red light and near infrared spectrum images of the surface of a carbon-coated foil coating through a multi-angle camera, and generating a fused composite image through a multispectral image fusion algorithm; s2, performing adaptive histogram equalization and reflected light spot suppression processing on the fused composite image, and outputting an enhanced image; s3, coating edge features in the enhanced image are extracted, segmentation of a coating region is realized in combination with a region growing method, and a coating region mask is obtained; s4, extracting multi-scale texture features of the coating region by adopting a pre-trained ResNet-50 deep convolutional network, and constructing a coating surface feature vector; and S5, based on the extracted feature vectors and a standard template library, through a uniformity evaluation model, calculating a uniformity index of the coating, and detecting the uniformity of the coating. According to the invention, accurate detection of the coating uniformity can be realized.

The present disclosure provides a method for remote sensing blue-green wave band ratio logarithmic water depth retrieval of wavelet spline instantaneous tidal height correction, and belongs to the field of remote sensing water depth retrieval. Aiming at water depth retrieval precision reduced by blue-green light and a tidal height in a remote sensing water depth retrieval process, the model fully considers a linear correlation between an attenuation ratio of the blue-green light in water and a depth, the smoothness of the tidal height, and the characteristics of consistent convergence, first-order continuous derivation and second-order continuous derivation of the tidal height with time change, and constructs the method for remote sensing blue-green wave band ratio logarithmic water depth retrieval of wavelet spline instantaneous tidal height correction, and according to Molokai experiment verification, compared with an early model, the invention improves the remote sensing water depth retrieval precision.

The invention discloses an intelligent traffic light coordination control method and system for traffic flow optimization, and relates to the technical field of intelligent control. The method comprises the following steps: collecting traffic flow data of lanes in all directions in a target area in real time through heterogeneous sensor networks deployed at all intersections; identifying the traffic flow data to obtain tidal traffic flow features; performing dynamic intensity evaluation based on the tidal traffic flow characteristics to obtain a tidal direction intensity index; a multi-agent cooperative network is constructed, and a continuous intersection green light phase offset sequence is generated based on cooperative calculation of the multi-agent cooperative network; and when the tide direction intensity index is greater than a preset threshold value, inputting the continuous intersection green light phase offset sequence into a traffic signal lamp control system so as to start a tide green wave mode. The technical problems that in the prior art, traffic flow control is not flexible enough, and traffic lights cannot be intelligently adjusted according to the traffic flow condition are solved, and the technical effects of improving the road passing efficiency and reducing congestion are achieved.

The invention discloses a traffic flow prediction and signal adjustment method based on machine learning. The method comprises the following steps: data acquisition: acquiring real-time traffic data; data processing: carrying out standardization processing on the traffic flow data and external data; machine learning model training: training the processed multi-modal data through a model; traffic flow prediction: predicting traffic flow change in a period of time in the future according to the current multi-modal data; and signal adjustment: adjusting the traffic signal of each intersection based on the predicted future traffic flow. According to the method, deep learning training is carried out on multi-modal data including traffic flow, weather, emergencies and the like, so that the model can more accurately capture the trend and rule of traffic flow change, and the prediction accuracy is remarkably improved. The system can flexibly adjust the signal period and the green light duration according to the real-time data, so that the traffic signal control has better adaptability, the instantaneous fluctuation of the traffic flow can be effectively dealt with, and the overall efficiency of the traffic system is improved.

A cleaner head for a vacuum cleaner includes a laser diode for illuminating debris located upon a region of a work surface located in front of the cleaner head with green light.

The invention provides a light emitting diode with improved color purity and a preparation method thereof, and belongs to the technical field of photoelectron manufacturing. The light-emitting diode comprises a first semiconductor layer, a first light-emitting layer, a second light-emitting layer and a second semiconductor layer which are sequentially stacked, the first light-emitting layer is a green light-emitting layer, the second light-emitting layer is a blue light-emitting layer, and the ratio of the light-emitting intensity of the first light-emitting layer to the light-emitting intensity of the second light-emitting layer ranges from 2: 10 to 4.8: 10. According to the embodiment of the invention, the color gamut value of the light-emitting diode can be improved, the color purity of the light-emitting diode can be improved, and the light-emitting effect is improved.

The invention discloses a single-line return-to-zero code LED drive control chip circuit which comprises a power management circuit, a start reset circuit, an oscillator circuit, a bias current circuit, a digital circuit and a light emitting diode drive circuit. The light emitting diode driving circuit comprises a driving channel of a white light emitting diode chip, a driving channel of a red light emitting diode chip, a driving channel of a green light emitting diode chip and a driving channel of a blue light emitting diode chip, and the power management circuit is used for ensuring that the power supply is turned off when all-zero data or no data is input by analyzing the states of the previous data and the next data in the power management signal. The single-line return-to-zero code LED driving control chip solves the problems that the current single-line return-to-zero code LED driving control chip with a three-channel design does not have a sleep mode, so that effective power consumption management is lacked when the brightness and the color of an LED are controlled, and the whole LED device still has static power consumption waste in a non-light-emitting state.

The invention discloses a YOLOv5-assisted vision-laser integrated efficient bird repelling method and device, and the method comprises the steps: obtaining the video stream data of a monitoring region in real time, inputting the video data into a multi-modal target detection model, extracting a key frame containing a target bird through the pre-trained multi-modal target detection model, and carrying out the recognition of the key frame, wherein the multi-modal target detection model is constructed by a YOLOv5 network structure; performing species feature analysis on the key frame; acquiring position coordinates after accurately identifying bird types; generating a dynamic control instruction based on the positioning data; the laser bird repelling module is driven to emit green light with the wavelength of 532 nm to optically repel birds; the system is integrated with a closed-loop feedback mechanism, and the bird repelling effect is verified through secondary image acquisition. The method can be applied to key fields such as airports, orchards, photovoltaic power plants and wind power plants, can also be expanded to the fields of ecological monitoring and agriculture, and has a good application prospect.

The invention provides a traffic signal lamp intelligent control method based on a fiber bragg grating sensing network, and relates to the technical field of traffic signal lamps, and the method comprises the steps: obtaining the detection data of each fiber bragg grating sensing line, and enabling the fiber bragg grating sensing lines to be transversely laid at a selected traffic crossroad along a lane, three fiber bragg grating sensing lines parallel to the stop line are laid on each road; determining the length range of the motor vehicle queuing length of each lane according to the detection data of each fiber Bragg grating sensing line; and controlling the working state of the corresponding traffic signal lamp according to the length range of the motor vehicle queuing length of each lane. The actual traffic flow can be determined through the detection data of the fiber Bragg grating sensing lines, the green light time can be dynamically allocated based on the actual traffic flow, the vehicle queuing time is shortened, and the passing efficiency can be effectively improved.

The invention provides a regional ecological environment quality evaluation method and system based on remote sensing data, and relates to the technical field of environment remote sensing and ecological monitoring, and the method comprises the steps: extracting red light and near-infrared reflectivity at the peak of a growing season by using Landsat8 satellite data, and calculating a mixed vegetation index; synchronously measuring vegetation indexes of pure vegetation and bare soil on site to obtain a vegetation coverage rate, and obtaining water transparency, suspended solid concentration and chlorophyll a concentration through on-site measurement on the basis of green light, red light, blue light and near-infrared reflectivity in a heavy rainfall period and a dry season; the method comprises the following steps: constructing a linear regression model of reflectivity and water quality parameters through a least square method, calculating a water quality index, constructing an extreme weather influence factor based on ten-year extreme weather data, and finally fusing a vegetation coverage rate, water quality, the extreme weather influence factor, annual precipitation, annual average temperature, optimal regional vegetation temperature and historical rainfall extremum. And constructing an ecological quality index, and dividing ecological environment quality grades.

The invention relates to the technical field of image focus detection, in particular to a fiber endoscope image focus detection method and system, and the method comprises the following steps: providing a data quality guide interface; capturing narrow-band light images of the endoscope away from a first preset position and a second preset position of the intestinal wall in the axial movement process, calculating brightness gain values of a blue light channel and a green light channel, calculating an asymmetric scattering correction coefficient, and updating indication of color information calibration integrity; tracking the pixel moving speed of the interferent in the view in the propulsion operation process, calculating the relative depth of the interferent, and updating the indication of the validity of the depth data of the interference layer; identifying the image area which is not shielded by the interferent, and updating the indication of the information coverage degree of the background area; triggering an image synthesis operation; performing color compensation on the image information of the image area which is stored in the background canvas and is not shielded by the interferent; reconstructing a clear image; and performing focus detection on the clear image. The method improves the accuracy of focus detection.

The utility model discloses a three-color micro-projection optical system, the three-color micro-projection optical system is provided with an object side and an image side which are correspondingly arranged along an optical axis direction, the three-color micro-projection optical system comprises a diaphragm, a lens group and a color combination prism assembly which are sequentially arranged from the object side to the image side; the color combination prism assembly comprises a color combination prism, a red light-emitting chip, a green light-emitting chip and a blue light-emitting chip; the focal length of the three-color micro projection optical system is f, 5.9 mlt; flt; the thickness is 6.4 mm; the distance from the diaphragm to the image surface is the total optical length TTL and TTLlt of the three-color micro-projection optical system; and the thickness is 10.2 mm. By means of the arrangement, in the environment temperature range of 20-60 DEG C, the optical system does not defocus during working, the MTF full frequency is higher than 0.5, the total length of the optical system can be controlled within 10.2 mm, and the working performance is more stable.

A photoplethysmogram system and method are disclosed. The system includes at least three light sources of different frequencies configured to emit light into a subject's skin. A PPG sensor detects the light from the multiple light sources after it has passed through the subject's skin and generates a PPG signal for each light source. A processor, communicatively coupled to the PPG sensor, receives the PPG signals and estimates physiological parameters from each PPG signal. The light sources may include a red light source, an infrared light source, and a green light source, with the green light source used for calibration in the measurement of blood oxygen saturation. The processor may dynamically perform amputation or imputation of the PPG signals based on the consistency of the signals from the different light sources. The physiological parameters may include respiratory effort and pulse rate and pulse rate variability.

The invention discloses a traffic signal adaptive control method based on a thunder-vision integrated vehicle detector, and relates to the technical field of intelligent traffic, and the method comprises the steps: obtaining the time headway of vehicles in an entrance road section, the number of vehicles entering a target intersection, and the total number of vehicles entering the entrance road section; detecting the number of detained vehicles in each traffic flow direction of the entrance road section, and determining the saturation degree of each traffic flow direction; according to the saturation degree, the effective green light duration of the corresponding phase of each passing flow direction of the target intersection is adjusted, and when it is detected that a congestion flow direction exists, the additionally prolonged effective green light duration is added to the corresponding phase of the congestion flow direction, so that an updated signal timing scheme is obtained; and controlling the traffic lights of the target intersection according to the updated signal timing scheme in the next control period. The signal timing scheme is adjusted in real time according to the change condition of the road traffic flow state, adaptive control of the traffic signal lamp is achieved, and the road congestion problem is effectively relieved.

Various structures for a hybrid pixel array are disclosed. The hybrid pixel array includes a combination of square photodiode (PD) pixel structures and split PD pixel structures. Square PD pixel structures include one photodiode per pixel unit while split PD pixel structures include two photodiodes per pixel unit. In certain instances, square PD pixel structures are used for green light pixels and split PD pixel structures are used for blue and red light pixels in the hybrid pixel array. The combination of square PD pixel structures and split PD pixel structures provides autofocus capability with higher signal strengths. Various techniques for row addressing and readout from the hybrid pixel array are also disclosed.

The invention relates to the technical field of semiconductor devices, in particular to a low-working-current-density green light Micro-LED epitaxial structure and a preparation method thereof. The epitaxial structure comprises a substrate, a buffer layer, an N-type semiconductor layer, a low-temperature stress release layer, a multi-quantum well light-emitting layer and a P-type semiconductor layer. The electron blocking layer is not arranged on the multi-quantum-well light-emitting layer, the multi-quantum-well light-emitting layer comprises four sub-layers including a first light blue light multi-quantum-well layer, a second blue light multi-quantum-well layer, a third green light multi-quantum-well layer and a fourth light blue light multi-quantum-well layer, and the In component content in the third green light multi-quantum-well layer is larger than that in other layers. The third cyan light multi-quantum well layer is a main light-emitting unit and is not provided with an electron blocking layer, so that the blocking effect on hole injection can be eliminated, the hole injection efficiency of the P-type semiconductor layer is remarkably improved, and the matching degree of electron hole concentration in a multi-quantum well light-emitting layer region is improved.

The utility model discloses a high-color-gamut LED light source module and a display. The high-color-gamut LED light source module comprises at least one LED wafer and a light-emitting part, and the light-emitting part is installed in the light-emitting direction of the LED wafer. The LED wafer comprises a first quantum well layer, a second quantum well layer and a third quantum well layer; the first quantum well layer is respectively connected with the second quantum well layer and the third quantum well layer; the first quantum well layer is electroluminescent, and the second quantum well layer and the third quantum well layer are photoluminescent. In the high-color-gamut LED light source module, a first quantum well layer is electrified to emit blue light, a second quantum well layer is excited to emit green light, a third quantum well layer is excited to emit red light, and the finally emitted blue light, red light and green light form a white light spectrum; according to the high-color-gamut LED light source module, the light spectrum totally emitted by the LED wafer can excite the light-emitting part, the light-emitting spectrum of the LED wafer can be supplemented, the high-color-gamut LED light source module has a wider color gamut, a quantum film and a quantum dot diffusion plate do not need to be additionally arranged, and the overall cost is reduced.

The invention relates to display equipment which comprises a liquid crystal display panel, a backlight module and a control circuit. A backlight partition of the backlight module comprises at least one light-emitting unit, the light-emitting unit comprises a first blue light-emitting chip, a green light-emitting chip and a red light-emitting module, and the red light-emitting module comprises a second blue light-emitting chip and a red phosphor located above the second blue light-emitting chip. The control circuit is configured to obtain image frame data, determine input gray-scale values of all color pixels in an image partition corresponding to the backlight partition, and generate all color backlight values of the partition; and driving the green and second blue light-emitting chips based on the green and red backlight values, and not lightening the first blue light-emitting chip or driving the first blue light-emitting chip to carry out blue light brightness compensation based on a comparison algorithm processing result of the blue and red backlight values, thereby improving the display color cast problem. And meanwhile, driving data are generated based on the input gray-scale values of the color pixels to drive the panel, so that the display effect of the display equipment is improved.

The invention discloses a multicolor photoelectric response synaptic device and a preparation method thereof. The multicolor photoelectric response synaptic device is of a multi-layer structure. The multilayer structure comprises a transparent conductive electrode layer, a hole transport material layer, a lead-free perovskite layer, an electron transport material layer, an organic semiconductor charge transfer compound layer and a metal electrode layer in sequence along the light incidence direction. The preparation method comprises the steps of preparing the transparent conductive electrode layer; sequentially preparing a hole transport material layer, a lead-free perovskite layer, an electron transport material layer and an organic semiconductor charge transfer compound layer on the transparent conductive electrode layer through a spin coating method; and preparing the metal electrode layer on the organic semiconductor charge transfer compound layer through vacuum evaporation. The multicolor photoelectric response synaptic device is reasonable in structural design, can realize ultraviolet-visible-near infrared multicolor photoelectric synaptic function simulation, can realize a color identification function on red light, green light and blue light in a visible light wave band, and has a good application prospect.

The invention provides a focusing method, device and equipment. The method comprises the following steps: determining pixel offset between a red channel image and a green channel image of a tissue slice; the red channel image and the green channel image are a red channel image and a green channel image of a tissue slice in a ghosting image captured by the color image sensor when a red light filter, a green light filter and double optical wedges in the focusing module are modulated at the same time; determining an out-of-focus distance according to the pixel offset and a preset corresponding relation; the preset corresponding relation is the corresponding relation between the pixel offset and the defocus distance; and focusing according to the out-of-focus distance. According to the method provided by the embodiment of the invention, the problem that positive and negative defocusing directions cannot be distinguished through a single-frame image in a phase shift detection automatic focusing technology based on image monochromatic double-hole modulation is solved, and the problem of time waste caused by high-speed switching of an illumination light source in an automatic focusing technology based on red-green double-LED illumination is solved; and meanwhile, the problem that a phase shift detection automatic focusing technology based on pupil segmentation images is relatively small in focusing range is solved.

The invention provides a fluorescence imaging method and device based on light source proportion adjustment and a storage medium, and the method comprises the steps: in a photodynamic diagnosis PDD fluorescence mode, when a blue light source is turned on, after blue light is reflected by tissues, filtering the spectrum of a green fluorescence wave band generated by excitation of riboflavin through a notch filter, the interference of green fluorescence on PDD fluorescence contrast is reduced; in the photodynamic white light image mode, red light, green light and blue light are controlled to be imaged in a stroboscopic mode through the light compensation module, and the proportion of the light power of the red light, the green light and the blue light is controlled, so that the red light, the green light and the blue light are reflected by observation tissue, penetrate through the notch filter and then are synthesized into white light. By combining the notch filter and the light compensation module, the problem that in the PDD fluorescence imaging process, green fluorescence generated by excitation of riboflavin affects the contrast ratio of PDD fluorescence imaging is solved, and meanwhile color rendition of traditional white light imaging can be guaranteed.

The invention discloses a GaN-based blue-green light LED epitaxial structure and a preparation method thereof. The GaN-based blue-green light LED epitaxial structure comprises a substrate, and a buffer layer, a 3D layer, a U-GaN layer, an N-GaN layer, a multi-quantum well layer, an electron blocking layer and a P-GaN layer which are stacked on the substrate in sequence, the multi-quantum well layer comprises a shallow well transition layer, a high-temperature quantum well layer, a stress release layer and a low-temperature quantum well layer which are sequentially stacked, and the stress release layer comprises AlN layers and GaN layers which are periodically and alternately stacked. By implementing the invention, the luminous efficiency of the light-emitting diode under high current density can be effectively improved.

The embodiment of the invention discloses an optical fiber laser and a green laser device. The fiber laser comprises a seed source and at least one stage of fiber amplifier. The seed source comprises a first pumping source, a first pumping beam combiner, a first fiber bragg grating, a first ytterbium-doped fiber, a second fiber bragg grating and a second ytterbium-doped fiber; the optical fiber amplifier comprises a second pumping source, a second pumping beam combiner and a third ytterbium-doped optical fiber; the second pumping source comprises a third pumping source, a third pumping beam combiner, a third fiber bragg grating, a fourth ytterbium-doped fiber and a fourth fiber bragg grating. The optical fiber laser provided by the embodiment of the invention adopts a cascade pumping technology, so that the power and brightness of fundamental frequency laser output by the narrow linewidth optical fiber laser are effectively improved, the nonlinear effect of the fundamental frequency laser and the thermal load of the optical fiber are remarkably reduced, and the beam quality and output power of the fundamental frequency laser are remarkably improved; and a foundation is laid for higher green light output.

An endoscope system includes a light source unit that emits normal light and first specific light having a peak wavelength different from that of each of red light, green light, and blue light included in the normal light, a dichroic filter that transmits first specific return light which is return light from a subject illuminated with the first specific light and that reflects return light from the subject illuminated with the normal light, a CMOS sensor on which the return light of the normal light is incident, and a CMOS sensor on which the first specific return light is incident.

The invention discloses a service execution method and a related device, the service execution method is applied to electronic equipment, the electronic equipment comprises a processor, a power supply controller and a photoplethysmography (PPG) module, and the PPG module comprises an infrared device and a green light device; the method comprises the following steps: when a first service is executed, controlling a power supply controller to provide a first voltage for a PPG module; the control processor sends a first control signal to the PPG module; controlling the PPG module to start the green light device in response to the first control signal; when the second service is executed, controlling the power supply controller to provide a second voltage for the PPG module; the control processor sends a second control signal to the PPG module; and controlling the PPG module to start the infrared device in response to the second control signal. Therefore, the power consumption can be saved, and the cruising ability of the electronic equipment is improved.

The invention discloses a white organic light-emitting device and a display device, the white organic light-emitting device comprises a first electrode, a second electrode and a light-emitting layer located between the first electrode and the second electrode, the light-emitting layer comprises a green light-emitting layer, a blue light-emitting layer and a plurality of red light-emitting layers which are distributed in a stacked mode, the red light-emitting layer is in contact with the green light-emitting layer; along the direction close to the green light-emitting layer, the hole mobility of the red light-emitting layers is gradually reduced, and the electron mobility of the red light-emitting layers is gradually enhanced. The white organic light-emitting device provided by the embodiment of the invention can effectively improve the color cast problem under high current density.

The utility model relates to the technical field of lighting, and provides a light source module which comprises a first substrate and a plurality of light-emitting lamp beads, the first substrate is provided with a light-emitting face, and the light-emitting lamp beads are installed in the light-emitting face and distributed in a determinant mode. The light-emitting lamp beads comprise red light LED lamp beads, green light LED lamp beads, blue light LED lamp beads and white light LED lamp beads which are independently controlled; in every two adjacent rows of light-emitting lamp beads, two of the red light LED lamp beads, the green light LED lamp beads, the blue light LED lamp beads and the white light LED lamp beads are arranged in one row, and the other two of the red light LED lamp beads, the green light LED lamp beads, the blue light LED lamp beads and the white light LED lamp beads are arranged in the other row. The arrangement mode of the plurality of light-emitting lamp beads ensures that the light-emitting lamp beads of each color cannot be concentrated in a certain specific area, so that the color uniformity of the whole light-emitting surface is realized, more consistent and more uniform lighting effect is provided, and more natural and more uniform synthetic white light is generated.