637 results about "High luminance" patented technology

The invention discloses an optical lens which is sequentially arranged from an object side to an image side along an optical axis of the lens: a first lens which is a glass lens with negative focal power; the second lens has negative focal power; the third lens is provided with positive focal power; a fourth lens, wherein the fourth lens has positive focal power or negative focal power; an aperture stop; a fifth lens, wherein the fifth lens has a positive focal power or a negative focal power; a sixth lens having a positive focal power or a negative focal power; a seventh lens having a positive focal power or a negative focal power; and the eighth lens is a plastic lens with positive focal power or negative focal power. The lens is formed by mixing glass and plastic, the field angle is larger than or equal to 200 degrees, the aperture is larger than or equal to 1.9, and the lens has the advantages of being large in field of view, large in aperture, high in imaging quality and high in brightness.

The invention relates to the technical field of fishing boat monitoring, in particular to an AI camera-based fishing information acquisition system for a lamplight cover net fishing boat, which comprises a reflective point extraction module, a track fitting module, a shielding classification module, an edge redrawing module and a density analysis module. The method comprises the following steps: extracting reflective points on the surface of an underwater fish body, screening a high-brightness area, constructing a gloss response point set, analyzing a motion track of a reflective point group in combination with a multi-frame image sequence, fitting path features by adopting a random sampling consistency algorithm, and identifying a track continuity state and a motion mode change. And performing shielding state classification on the path features based on a support vector machine model, judging extension shielding, cross shielding or boundary separation types, performing direction vector alignment and path matching redrawing on the edge contours of the reflective points according to a classification result, and recovering contour missing caused by shielding. And multi-granularity data support is provided for fish catch statistics by analyzing a brightness change track of a fin ray region in a redrawn edge path.

A display device capable of performing display at high luminance is provided. A first layer containing a first light-emitting material emitting blue light is formed into an island shape over a first pixel electrode, and then a second layer containing a second light-emitting material emitting light having a longer wavelength than blue light is formed into an island shape over a second pixel electrode. After that, an insulating layer overlapping with a region interposed between the first pixel electrode and the second pixel electrode is formed, and a common electrode is formed to cover the first layer, the second layer, and the insulating layer.

The invention discloses a low-illumination image enhancement method suitable for a complex night operation scene. The method comprises the following steps: preprocessing a collected low-illumination RGB image to obtain a preprocessed image; multi-scale features are extracted from the shallow convolution projection and the multilayer axial converter unit, and cross-layer attention is used for weighted aggregation to form enhanced features; forward noise addition is executed according to noise scheduling to obtain potential representation representing low-illumination noise distribution, and deep semantic representation is extracted in combination with a U-Net encoder embedded in CBAM; in the decoding stage, details are reconstructed through jump connection and a multi-layer converter, meanwhile, reverse denoising of a diffusion model is introduced to gradually remove noise, and an enhanced image with high brightness and low noise is output; in the training process, bidirectional mapping from low illumination to normal illumination is constructed, a weighted target of self-encoding loss and enhanced loss is introduced to carry out joint optimization on a converter and diffusion parameters, and a low-illumination scene is monitored on a general GPU / edge device.

The invention discloses an online high-reflective material three-dimensional measurement method based on binocular line laser. The method comprises the following steps: establishing a world coordinate system and a calibration system; shooting to obtain a left laser strip image and a right laser strip image; performing gamma enhancement, gamma weakening and convolution processing on the image; threshold segmentation: extracting a light stripe center point meeting a light stripe width threshold value by a gray gravity center; fusing the point cloud data of the light stripe centers of the eight images; counting and calculating the three-dimensional structure size of the material; according to the measurement method, a single-frame laser strip image is shot through a binocular line laser three-dimensional scanning system, high-brightness, low-brightness and line-enhanced pictures are obtained through image processing, more point cloud data of a high-reflection area and a low-reflection area can be obtained, and the measurement precision is higher; light stripe center extraction is carried out in combination with threshold segmentation and width threshold constraint, the center of a highly reflective area is not extracted, light stripe center data with higher accuracy can be obtained, point cloud data of eight light stripe centers are fused, and both extraction accuracy and point cloud data integrity are considered.

The invention relates to the technical field of tunnel lighting, in particular to a tunnel portal lighting control method and system, and the method comprises the steps: S1, obtaining a first image in a short exposure time mode; obtaining a second image in a long exposure mode; s2, synthesizing the second image and the first image into a high-dynamic-range image, and dividing the high-dynamic-range image into a low-brightness area, a transition area and a high-brightness area; s3, generating a brightness transition curve of the transition area; s4, determining a brightness adjusting curve of the transition area according to the maximum brightness of the tunnel portal and the light and shade adaptive pupil area change rate; s5, determining the target brightness of each part of the transition area according to the brightness transition curve and the brightness adjustment curve; and S6, adjusting the brightness of the illumination lamp in the transition area to enable the brightness of each part of the transition area to reach the target brightness. The target brightness is determined according to the brightness transition curve in combination with the brightness adjustment curve, the influence of the brightness adaptive pupil area change rate on the sight line is fully considered, and the change of the brightness of the tunnel portal is more adaptive to the function of human eyes.

The invention relates to the technical field of intelligent detection of power equipment, in particular to a complex illumination low-voltage electricity meter frequency sensing detection method, system and equipment and a medium, and aims to solve the problems of high-frequency noise interference, intra-class feature difference, insufficient edge end energy efficiency and the like existing in electricity meter detection in a high-brightness environment. Proposing a dynamic frequency domain compensation mechanism to suppress light noise and recover signal details, and optimizing dense scene feature consistency in combination with adaptive filtering and a multi-scale sampling strategy; the boundary fuzzy problem is solved through dynamic feature alignment and an edge compensation mechanism, and parallel acceleration of frequency domain decomposition and dynamic resampling is realized by adopting a heterogeneous hardware architecture; a multi-modal data training framework and a cross-domain transfer learning strategy are fused to enhance the generalization ability of the model; according to the invention, collaborative optimization of detection precision, real-time performance and low power consumption is realized in a complex illumination scene, and high-robustness technical support is provided for intelligent power grid inspection.

The invention relates to a high dynamic range image tone mapping method and device based on an attention mechanism. The method comprises the following steps: S1, determining a first brightness channel; the first brightness channel is a brightness channel of the high dynamic range image. And S2, adaptively adjusting the global brightness of the first brightness channel based on a channel attention mechanism to obtain a first brightness feature map subjected to global brightness mapping. And S3, enhancing local details of the first brightness feature map based on a self-attention mechanism to obtain a second brightness feature map. And S4, obtaining a second brightness channel according to the first brightness channel and the second brightness feature map. The second brightness channel is a brightness channel of the low dynamic range image. According to the method, adaptive brightness modification is realized based on channel attention, the flexibility of brightness mapping can be improved, detail retention in tone mapping is enhanced based on a self-attention mechanism, global brightness mapping and local detail enhancement can be effectively integrated, and a more excellent tone mapping result is obtained.

The utility model relates to a high-brightness low-cost DMD welcome lamp lens. An optical system of the lens is composed of a first lens, a second lens, a third lens, a diaphragm, a fourth lens and a fifth lens which are sequentially arranged from left to right along a light incident light path. The lenses are made of plastic and glass materials, the first lens, the second lens, the third lens and the fourth lens are plastic aspheric lenses, and the fifth lens is a glass spherical lens. By reasonably distributing the focal power and the surface type of each lens, the central thickness of each lens, the axial distance between the lenses and the like, the imaging performance requirement of the lens is met, the total length of the lens and the radial size of each lens are reduced, and the miniaturization of the lens group is realized.

The invention discloses a laser speckle testing device based on hyperspectral imaging, which realizes high-precision measurement of laser spots and speckle signals under the condition of not depending on an expensive refrigerating system by optimizing an optical structure and a control strategy. The device comprises an imaging lens, a lens electric control module, a liquid crystal tunable optical filter module, an ND filter wheel, a driving mechanism of the ND filter wheel, a two-dimensional image sensor, a main control unit, a three-axis acceleration sensor, a PC host and a tested screen. A noise calibration piece preset in an ND filter wheel is used for collecting noise data in real time before each time of measurement, and noise deduction is carried out before the filter is switched, so that the timeliness and accuracy of data correction are improved; meanwhile, the integrated three-axis acceleration sensor is used for monitoring vibration, and when vibration exceeding a preset threshold value is detected, it can be judged that currently collected data is invalid, and re-collection is automatically triggered. The device is compact in structure, low in cost and suitable for the fields of laser display, projection calibration, high-brightness light source detection and the like.

The invention provides an automatic tracking laser bird repelling barrier lamp which comprises a lamp body and a detecting, tracking and repelling module, and a barrier warning module is arranged in the lamp body and can emit high-brightness flashing signals meeting safety standards. The detection tracking driving module is integrated with a millimeter-wave radar and a visible light camera, the millimeter-wave radar collects target distance, speed and azimuth information in real time, and the visible light camera carries an AI bird recognition algorithm to recognize and position birds; the intelligent control unit fuses multi-source data through extended Kalman filtering, predicts the future motion trail of a target based on a Kalman filtering model, drives the servo holder to adjust the laser emission direction, and meanwhile, automatically adjusts the diameter of a laser beam spot through the focusing lens group according to the target distance to ensure that the energy density at different distances maintains an effective driving threshold value. The device adopts a multi-modal fusion detection technology to cooperate with a dynamic tracking algorithm, has the functions of obstacle warning and intelligent bird repelling, is suitable for scenes such as towers, building tops, airports and the like, and realizes efficient safety protection in a complex environment.

The utility model provides an all-glass vehicle-mounted day and night confocal optical system and a camera module applying the same, mainly comprising eight lenses, the first lens has negative focal power, the object side surface is a convex surface, and the image side surface is a concave surface, the second lens has negative focal power, the object side surface is a concave surface, and the image side surface is a convex surface. The third lens has positive focal power, the object side surface is a convex surface, the image side surface is a concave surface, the fourth lens has negative focal power, the object side surface is a convex surface, the image side surface is a concave surface, the fifth lens has positive focal power, the object side surface is a convex surface, the image side surface is a convex surface, and the fourth lens and the fifth lens form a bonding lens. The sixth lens has positive focal power, the object side face of the sixth lens is a convex face, the image side face of the sixth lens is a convex face, the seventh lens has negative focal power, the image side face of the seventh lens is a concave face, the eighth lens has focal power, and the image side face of the eighth lens is a concave face. And the picture illumination uniformity and the imaging definition are improved.

The invention relates to the technical field of medical instrument detection, discloses a medical whole basket instrument multi-parameter detection system and method, and aims to solve the problem that in an existing CCD image detection technology, a high-brightness reflection area interferes with a detection result due to tiny bloodstain or superposition on the surface of an instrument. The system comprises an imaging module, a light source control module, a data processing module and a carrying platform. According to the method, reflection is reduced through combination of multispectral imaging and an adjustable light source, a reflection area is accurately identified and removed by using an algorithm of combining gradient amplitude and gradient direction entropy, and finally geometric parameters and cleanliness indexes of the instrument are synchronously calculated.

The invention provides a marine radar oil film extraction method and system based on an improved South goose algorithm, and relates to the technical field of image processing. According to the technical key points, the method comprises the following steps: firstly, preprocessing an obtained radar oil film image; then, feature extraction is carried out on the preprocessed image, an oil film region of interest is generated, interference of high-brightness clutters is effectively removed in combination with an SIFT feature filtering algorithm based on an intensity threshold value, and the oil film region of interest better fitting the actual shape of an oil film is generated through region expansion and boundary smoothing processing; then, an improved South goose algorithm is utilized to carry out segmentation extraction on the preprocessed image, the improved South goose algorithm effectively avoids a local optimum problem, a higher convergence speed is realized, and a more stable segmentation effect is further realized based on an optimal threshold obtained by solving; and finally, performing fusion processing on the oil film region of interest and the segmented and extracted image to obtain an oil film image. The precision of oil film extraction is improved.

The utility model relates to the technical field of projection equipment, in particular to a light source device which comprises a narrow-spectrum light source, a wide-spectrum light source and a first light combining element, narrow-spectrum light beams emitted by the narrow-spectrum light source and wide-spectrum light beams emitted by the wide-spectrum light source are combined and emitted through the first light combining element, and overlapping wavebands exist between the narrow-spectrum light beams and the wide-spectrum light beams. The first light combining element reflects one of the light in the first polarization state of the overlapped wave band and the light in the second polarization state of the overlapped wave band while carrying out wavelength light combining, and transmits the other one of the light in the first polarization state of the overlapped wave band and the light in the second polarization state of the overlapped wave band. According to the utility model, the light loss during light combination when the wide-spectrum light beam and the narrow-spectrum light beam have overlapped wavebands is reduced, the utilization rate of the wide-spectrum light beam is improved, the light-emitting brightness is more effectively improved, high brightness, high color gamut and good comprehensive performance are realized, and the quality of a projection picture is effectively improved.

The invention provides in embodiments a light generating system (1000) comprising a first light generating device (100), a first luminescent material (210), and a second luminescent material (220), wherein: A) the first light generating device (110) is configured to generate first device light (111), wherein the first light generating device (110) comprises a first light source (10) selected from the group of a superluminescent diode and a laser; B) the first luminescent material (210) comprises a line absorber and line emitter luminescent material providing a first luminescent material emission (211) comprising a line emission at a first wavelength (λL,1) upon excitation with the first device light (111); C) the second luminescent material (220) comprises a broad band emitter luminescent material providing a second luminescent material emission (221) comprising a broad band emission upon excitation with the first device light (111), wherein the second luminescent material emission (221) has a second centroid wavelength (λLC,2), wherein |λL,1-λLC,2|≤20 nm; D) the first light generating device (110) is configured to pump one or more of the first luminescent material (210) and the second luminescent material (220) with the first device light (111); and E) the light generating system (1000) is configured to generate system light (1001) comprising one or more of the first luminescent material emission (211) and the second luminescent material emission (221).

The invention provides a steel surface defect detection and identification system and method based on a deep learning YOLOv8 model, and the system comprises an industrial camera which is disposed in a to-be-detected region of a steel production line and is provided with a high-brightness light source. The system is characterized by further comprising an image acquisition module, a fault detection module, a defect identification module and a man-machine interaction module which run on a computer and are connected with the industrial camera control system, and the method comprises the following steps: S1, system initialization, S2, image acquisition, S3, image preprocessing, S4, feature extraction and fusion, S5, defect identification and classification, and S6, result output and interaction. Automatic and precise steel surface defect detection and recognition of the whole process from image acquisition, defect detection to result output are achieved, manual visual judgment is not needed, detection standards are unified, the problem of unstable detection caused by manual experience differences is avoided, the labor intensity of operators is reduced, enterprise losses caused by defective steel circulation are avoided, and the production efficiency is improved. Reliable data support is provided for production process optimization, and the steel quality is guaranteed.

To provide a light-emitting device having a high luminance region and a low luminance region into a light-emitting surface.SOLUTION: A light-emitting device includes a plate-like translucent member having a light-emitting element, a lower surface which is disposed on the light-emitting element and light emitted from the light-emitting element enters, and an upper surface on the side opposite to the lower surface, where the upper surface of the translucent member is a light-emitting surface. The translucent member includes: a first translucent part that contains a first sinter body containing a phosphor particle; and a second translucent part that contains a second sinter body containing a light diffusion particle. A relative density of the second sinter body is 70% or more and 95% or less. The light-emitting surface includes: (i) a first light-emitting region where the light is emitted via the first translucent part; and (ii) a second light-emitting region where the light is emitted via the second translucent part, and which has luminance lower than that of the first light-emitting region.SELECTED DRAWING: Figure 3

The invention discloses an OLED device for improving brightness based on a micro lens. The OLED device comprises a light emitting unit; the light-emitting unit comprises a plurality of sub-pixel light-emitting units; the flat layer is positioned on the light-emitting unit; the first micro-lens group is located on the flat layer and comprises a plurality of sub-pixel micro-lens groups, the number of the sub-pixel micro-lens groups is the same as that of the sub-pixel light-emitting units, and each sub-pixel micro-lens group is located at the orthographic projection position of the corresponding sub-pixel light-emitting unit; and the third micro lens layer is positioned on the first micro lens group. Through the design of the micro-lens array formed by the first micro-lens group and the third micro-lens layer, light loss caused by total reflection is reduced, meanwhile, different sub-pixel micro-lens designs are introduced, and focusing of red, green and blue at the same position is achieved, so that the brightness can be improved, and the chromatic aberration can be improved.

According to the silicon-based OLED micro display screen, an OLED organic material layer emits white light under electric driving, intelligent judgment is performed according to display content, an optimal working mode is automatically selected, when high-saturation pure color needs to be displayed, the mode is switched to a pure color transparent mode, at the moment, a super-surface optical separation layer keeps the transparent characteristic, and the display quality is improved. The white light is directly transmitted to the color film unit with the corresponding color; when mixed colors need to be displayed, a mixed color separation mode is started, incident white light is separated into red primary light, green primary light and blue primary light according to visible spectrums, the light is accurately guided to the corresponding RGB color film units according to a preset optical path, finally, the color light which is accurately separated and guided is output through the corresponding color films, and finally a high-brightness and low-power-consumption full-color picture is synthesized. The super-surface optical separation layer is additionally arranged between the white light OLED light-emitting layer and the color filter, so that the display optical utilization efficiency is greatly improved.

The invention relates to the technical field of projection optical devices, in particular to a projection lens which adopts a framework with two lens groups and eight lenses. The projection lens is simple in structure, small in lens number, good in light weight, small in occupied size, large in imaging clear range, small in aberration, small in distortion, high in resolution, large in aperture number, telecentric in image space and high in brightness, and the imaging quality is improved.

The invention provides a brightness adjusting method and scanning equipment, and the method comprises the steps: collecting a first image according to the current exposure parameter of the scanning equipment; based on a preset region of interest, determining a photometric region on the first image; performing object segmentation on the photometric area to generate an object mask; if the first gray value of the object mask is not in the preset gray range, the current exposure parameter is adjusted to be a target exposure parameter corresponding to a second gray value based on the incidence relation between the gray value and the exposure parameter, and the second gray value is in the preset gray range. According to the method, the brightness adjustment efficiency can be improved.

The embodiment of the invention provides a large-viewing-angle composite optical film. The large-viewing-angle composite optical film comprises a base material film layer; the first prism film layer is arranged on one side of the base material film layer; the second prism film layer is arranged on the other side of the base material film layer; a plurality of first prism units extending in the first direction are arranged on the side, close to the base material film layer, of the first prism film layer, and a platform interval is formed between every two adjacent first prism units; a plurality of second prism units extending along a second direction are arranged on one side, adjacent to the base material film layer, of the second prism film layer; wherein the first direction intersects with the second direction, and the first prism units and the second prism units are oppositely arranged in the direction perpendicular to the base material film layer. The utilization rate of light energy is improved, and the loss of central brightness is effectively inhibited while the visual angle is obviously expanded. After the first prism film layer and the second prism film layer are compounded, on the basis of maintaining high brightness gain, the field angle is obviously widened, and collaborative optimization of brightness attenuation gentle and overall optical uniformity under a large angle of view is realized.

An HUD system and a vehicle are used for improving the brightness of a user watching a virtual image. The HUD system comprises an image generation assembly, an optical deflection assembly and a first reflection assembly, the optical deflection assembly is arranged on a light path between the image generation assembly and the first reflection assembly, the image generation assembly is used for generating an image, and the optical deflection assembly is used for deflecting the propagation direction of light from the image generation assembly. The first reflection assembly is used for reflecting the deflected light from the optical deflection assembly, so that a reverse extension line of the reflected light forms a virtual image at a first position outside the windshield. In the HUD system, the optical deflection assembly can deflect the direction of the light rays emitted by the image generation assembly, so that the light rays with relatively high light intensity can be controllably transmitted to the first reflection assembly and then are reflected to human eyes by the first reflection assembly to ensure that relatively bright virtual images can be watched at the human eyes; therefore, high-brightness cabin display experience is provided for the user.

The invention belongs to the field of image processing, and provides an image quality enhancement method based on adjustable parameters. The method comprises the steps of firstly converting an input low-illumination and low-contrast RGB image into an HSV image, then obtaining three to-be-fused enhanced images through an image enhancement algorithm, then fusing the three images by using decomposition and reconstruction of an image pyramid, finally converting the fused HSV image into an RGB image, and finally obtaining a high-contrast and low-contrast RGB image. And a high-brightness image is obtained. The fusion algorithm is realized by using a hardware circuit assembly line mode, has real-time performance and adjustability, and is expected to be applied to the fields of security monitoring, night imaging and the like.

The invention provides an infrared induction intelligent interactive projection large screen and ground screen holographic device, and relates to the technical field of intelligent display interaction. The equipment is composed of a large projection screen, a ground screen, an infrared induction device, a data processing host, a feature extraction and intention recognition module, an environment perception and adaptive adjustment module and an intelligent feedback and multi-mode interaction fusion module, and the large projection screen is used for displaying holographic images and has the functions of high brightness, wide color gamut and touch control; the ground screen is made of a transparent holographic imaging material, can synchronously display interaction information and has a touch sensing function, and the infrared sensing device captures three-dimensional action information of a user through an emitter and a receiver which are arranged in a matrix mode. The problems that a traditional display device is poor in interaction experience and single in display effect are solved, natural and smooth long-distance human body action interaction and immersive visual experience are achieved, and the system is suitable for many fields such as science and technology exhibition, commercial exhibition and intelligent education.

The invention provides a light generating system (1000) comprising (i) a plurality of light sources (110,120, . . .), (ii) a first luminescent material (210), and (iii) a second luminescent material (220), wherein: (a) a first light source (110) is configured to generate first light source light (111) having one or more wavelengths in the blue wavelength range and having a first centroid wavelength (λC1), wherein the first light source (110) is a laser; (b) the first luminescent material (210) is configured to convert at least part of the first light source light (111) into first luminescent material light (211) having one or more wavelengths in the green and / or yellow wavelength range; (c) a second light source (120) is configured to generate second light source light (121) having one or more wavelengths in the yellow and / or orange wavelength range and having a second centroid wavelength (λC2), wherein λC2>λC1; wherein the second light source (120) is a superluminescent diode; (d) the second luminescent material (220) is configured to convert at least part of the second light source light (121) into second luminescent material light (221) having one or more wavelengths in the orange and / or red wavelength range; and (e) in an operational mode the light generating system (1000) is configured to generate system light (1001) comprising the first luminescent material light (211) and the second luminescent material light (221).

The invention discloses a low-illumination image enhancement method combining multi-channel parallel attention and cross fusion, and relates to the field of photoelectric display. In order to solve the problems of high model complexity, brightness and color gamut information coupling, artifact fusion and the like in low-illumination image enhancement, the invention provides a lightweight low-illumination image enhancement network, brightness and chrominance information are separated in a YCbCr color space, brightness structure features are extracted through a lightweight denoising module and a multi-head attention mechanism, and a low-illumination image is obtained. And a multi-channel parallel attention module (MCPA) is designed to enhance the chromaticity context modeling capability. According to the invention, a brightness-guided cross fusion module (LCA) is introduced, and cooperative enhancement of the structure and the color is realized through joint channel-space attention optimization. According to the method, a relatively high image quality index is obtained on multi-class public low-illumination data, meanwhile, the parameter quantity and the calculation quantity are remarkably reduced, and the method is suitable for edge device deployment. According to the method, color cast and fusion artifacts can be effectively inhibited, and the consistency of structural details and colors is improved.

The invention relates to an artificial intelligence image processing method. The method comprises the following steps: S1, data reading: reading historical image data and a to-be-processed image from a storage medium; s2, data screening: according to statistical analysis of historical image data, determining an image feature needing to be screened as a first image feature, obtaining an interval corresponding to the first image feature, if a first feature value of the preprocessed to-be-processed image data accords with the interval, carrying out screening, and otherwise, transmitting to the next step; s3, data enhancement and synthesis: performing data enhancement operation on the remaining images, and synthesizing new image data by using a generative adversarial network; and S4, brightness level division and label mapping: converting the color image into a gray level image, calculating an average gray level value of the gray level image, and dividing the image into low brightness, medium brightness and high brightness levels according to comparison between the gray level value of each pixel point and the average gray level value.

The invention relates to the technical field of optical films, and discloses a high-brightness peep-proof film, which comprises: a substrate layer, which is prepared from polyethylene glycol terephthalate or polycarbonate with the light transmittance of 90% or more; the pattern layer is arranged on one side of the base material layer and comprises light transmitting parts and shielding parts which are alternately arranged; the perovskite quantum dot light-emitting layer is embedded into the light-transmitting part and is used for converting incident light into high-color-purity light; the self-repairing layer covers the surface of the pattern layer and comprises an optical adhesive layer of microcapsules; wherein the light incident surface side surface of the shielding part forms a circle, and the curvature radius is 5-100 [mu] m. CsPbX quantum dots are modified through oleic acid and octadecylamine double ligands, the luminous efficiency and stability are remarkably improved through surface defect passivation and energy level regulation and control, the monodispersity of quantum dot dispersion liquid is achieved, the quantum dot dispersion liquid is embedded into a light transmitting part through an ink-jet printing technology, and the forward light and wide color gamut effects of the peep-proof film are enhanced.