943results about How to "Guaranteed clarity" patented technology

The invention provides an AI-based three-light image type fire detector, and relates to the technical field of data processing, and the detector comprises a flame spectrum collection module which is used for obtaining multispectral image data of a monitoring area; the preprocessing module is used for preprocessing the multispectral image data to generate multispectral data; the feature extraction module is used for generating multidimensional feature data according to the multispectral data; the environmental condition acquisition module is used for acquiring environmental condition data of a monitoring area; the AI classification module is used for carrying out layer-by-layer analysis and classification processing on the multi-dimensional feature data by a multi-layer neural network model to generate a preliminary fire recognition result; the background adaptation module is used for receiving the preliminary fire recognition result and the environmental condition data and processing the preliminary fire recognition result to obtain fire recognition data; the alarm triggering module is used for receiving the fire identification data and judging whether a preset fire alarm condition is met or not; the method has a good detection effect.

The invention relates to the technical field of three-dimensional measurement, and discloses a structured light three-dimensional detection system, method and device based on optical phased array coding, the structured light three-dimensional detection system comprises an optical phased array module, an acquisition module and a control module, the control module is connected with the optical phased array module and the acquisition module, and the optical phased array module is connected with the acquisition module and the control module. The optical coding module is used for performing phase regulation and amplitude regulation on the optical signal based on a preset regulation instruction to generate an optical coding pattern, and projecting the optical coding pattern to the surface of the to-be-measured object, so that the to-be-measured object reflects the optical coding pattern to generate reflection coding light; the acquisition module is used for acquiring the reflection coding light to obtain a reflection coding pattern; and the control module is used for generating a preset regulation and control instruction, decoding the reflection coding pattern, extracting a coding value and calculating feature information of the to-be-measured object based on the coding value. The problem that the structure light source cannot be adjusted can be solved, and the flexibility and controllability of three-dimensional detection are improved.

The invention discloses a spoken English man-machine conversation interaction training method and system, and relates to the technical field of spoken English training, spoken English audio signals of a user are monitored in real time through a microphone, and the frequency spectrum information of the audio signals is refined into each frame of spectrogram and cepstrum coefficient feature vectors by using Fourier transform and feature extraction technologies; therefore, the voice signal characteristics of the user can be completely captured; three core dimensions of semantic similarity, grammatical structure similarity and fluency are incorporated into an evaluation model, a comprehensive oral English training evaluation system is formed, a text sequence is generated by analyzing a time sequence dependency relationship through a convolutional neural network, and the oral English training evaluation model of a deep learning technology is combined, so that the oral English training evaluation accuracy is improved. According to the method, the expressions of the user in the aspects of semantics, grammar and fluency can be accurately measured, the oral training level of the user can be comprehensively judged by the system by comparing the comprehensive evaluation coefficient with the preset qualified threshold value, and a personalized learning guide is provided according to a result.

The invention discloses a video monitoring method and device. The method comprises the following steps: at each acquisition moment, acquiring a video frame image of a pan-tilt camera in a current visual angle range; analyzing the video frame image by using a multi-target tracking algorithm to obtain a first position detection frame of each to-be-tracked object in the video frame image at the current acquisition moment and a first position prediction frame of each to-be-tracked object at the next acquisition moment; determining a target visual angle range comprising each first position detection frame and each first position prediction frame; and adjusting the current visual angle range of the PTZ camera to the target visual angle range by adjusting the rotation angle and / or the focal length of the PTZ camera. According to the invention, the technical problems of lack of flexibility in video acquisition by a camera and poor target tracking effect in a related video monitoring scheme are solved.

The invention provides a college student classroom automatic sign-in method and system based on multi-frame focusing enhancement and adaptive panoramic stitching, and relates to the field of intelligent classroom management. According to the method, a multi-frame focusing enhancement technology is utilized, multi-frame images with different focal lengths are fused, a clear high-quality image is generated, and the problem of focusing difficulty possibly occurring in a large classroom environment is solved. No matter which area the student sits in, it can be ensured that the system captures high-quality image data, and the recognition accuracy is ensured. Besides, the method introduces an adaptive panoramic stitching technology to cover the whole classroom, and adaptive panoramic stitching is carried out on the images of different blocks, so that large-range image coverage can be realized, even a camera with a small visual angle can obtain a complete classroom panorama through the stitching technology, all students can be ensured to be monitored, and the method is suitable for popularization and application. The problem that the visual angle of a single camera is limited is solved.

The invention relates to an image transmission method and device based on layered coding and a storage medium, and the method comprises the steps: a coding unit receives a YUV444 format image, carries out the transcoding and chroma extraction, and obtains a basic coding layer and a chroma enhancement layer; the transmission unit uses the basic coding layer and the chroma enhancement layer as independent coding streams and sends the coding streams to a decoding unit; a decoding unit receives and decodes the basic coding layer coding stream and the chroma enhancement layer coding stream to obtain a basic image and a color enhancement image; the decoding unit reconstructs the base image and the color enhanced image into a YUV444 format image. According to the image transmission method based on layered coding, the problem of YUV420 color distortion is solved by independently transmitting chroma high-frequency information.

The invention relates to a cover plate with graphene heating films, and belongs to the technical field of cover plates, the cover plate comprises a transparent cover plate body and two graphene heating films, the two graphene heating films are arranged on the lower side surface of the transparent cover plate body, and a visible area is formed between the two graphene heating films. Through the arrangement of the graphene heating film, when mist or condensation is attached to the inner side face of the transparent cover plate body, the graphene heating film can generate a large amount of heat, so that the inner side face of the transparent cover plate body is rapidly heated, water vapor on the inner side face of the transparent cover plate body is evaporated, and the definition of the transparent cover plate body is guaranteed; and the observation effect on the internal condition of the cable trench is improved.

The invention relates to the technical field of underwater image enhancement processing, in particular to a pyramid network-based underwater image dynamic enhancement method and application, and the method comprises the steps: decomposing an input underwater image into layered image groups; using a deterministic color mapping network to convert the low-frequency layer input image into a low-frequency layer output image; using a double convolution attention module to obtain enhanced input features; using a packet expansion feedforward network to obtain a pixel-by-pixel mask; performing operation on the enhanced input features and step-by-step pixel masks to obtain high-frequency components; and reconstructing the low-frequency layer output image and the high-frequency component by using a Laplacian pyramid network to obtain an enhanced output underwater image. In conclusion, the underwater image can be dynamically enhanced, the adaptability is high, the method is suitable for various water bodies, color distortion can be effectively corrected, noise introduction is restrained, more image details can be reserved, and the underwater image has better visibility and higher recognition degree.

The invention belongs to the field of CT image processing, and particularly relates to a CT image reconstruction method and device for improving 3D Gaussian splashing and a CT system. The method comprises the following steps: acquiring multiple frames of two-dimensional X-ray images; performing three-dimensional reconstruction on each frame of two-dimensional X-ray image to generate three-dimensional point cloud data and camera position information; according to the three-dimensional point cloud data of each frame of two-dimensional X-ray image and the camera position information, generating a two-dimensional plane of each frame of two-dimensional X-ray image by using 3D Gaussian splashing; performing adaptive rasterization processing on the data projected to the two-dimensional plane to generate two-dimensional image data; and performing adaptive rendering processing on the rasterized two-dimensional image data to generate a CT reconstructed image. The method does not need to carry out depth sorting, does not need to depend on a large-scale annotation data set, can effectively suppress noise, reduce artifacts and maintain the edge and detail definition of the image, has efficient reconstruction performance, and is suitable for rapid and high-quality reconstruction of low-dose CT imaging.

The invention discloses an image acquisition method and system for a dual-wavelength circular polarization camera, and the method comprises the steps: setting two independent nanosecond pulse laser sources, and respectively transmitting lasers with different wavelengths; respectively carrying out left-hand circular polarization and right-hand circular polarization treatment on the two lasers; integrating the two nanosecond pulse laser beams subjected to circular polarization treatment into one beam, wherein the two beams are completely overlapped and are coaxial; the integrated nanosecond pulse laser beams are irradiated to a target object, and reflected light is collected through a double-spectrum camera to form two images with different wavelengths; and distributing weights for the image according to the importance of the polarization information, and generating a comprehensive image by adopting an image fusion technology. According to the image acquisition method and system of the dual-wavelength circular polarization camera, two independent nanosecond pulse laser sources are arranged to emit short-wavelength laser and long-wavelength laser respectively, the two beams of laser are subjected to left-handed and right-handed circular polarization processing and then integrated into one beam, and efficient imaging in a complex environment is achieved.

The invention discloses a crack measuring device for a lead-in optical cable, and relates to the field of visual inspection, and the crack measuring device comprises a box body, a U-shaped plate and a camera which are arranged in the box body, an optical cable penetrating through the box body, two protection boxes, a double-shaft motor and a preprocessing mechanism, inclined mounting plates are fixed to the tops and the bottoms of the outer walls of one sides of the two side plates through screws, cameras are installed on the faces, close to the optical cable, of the four mounting plates, the preprocessing mechanism is composed of a cleaning assembly and a wiping assembly, the cleaning assembly is used for cleaning dust and oil stains on the surface of the optical cable, and the wiping assembly is used for wiping water stains left after cleaning; the cleaning assembly comprises two semi-ring-shaped plates and two brush plates, the two wiping assemblies are arranged in the two protection boxes respectively, and each wiping assembly comprises two semi-ring-shaped wiping plates and two pull ropes. Dust and oil stains on the surface of an optical cable can be cleaned, so that the shooting definition of a follow-up camera is ensured; the dryness of the surface of the cleaned optical cable is ensured, the problems of image blurring and light reflection caused by the cleaning liquid are avoided, and the accuracy of crack recognition is improved.

The invention discloses a simulation waveform data processing method and device, equipment, a medium and a product, and the method comprises the steps: obtaining generated target waveform data, and carrying out the hierarchical processing according to a preset picture zooming level, and obtaining a plurality of hierarchical pictures; performing segmentation processing on the target waveform data according to a preset time period segmentation rule to obtain segmented data; in response to a waveform loading request sent by a client, extracting a target layered image and target segmented data contained in the waveform loading request, and obtaining a matched associated layered image and associated segmented data; and sending the target layered image and the target segmented data to the client, and continuing to send the associated layered image and the associated segmented data to the client so as to meet the requirements of the client in advance. According to the method, the waveform data are preprocessed in a layered and segmented mode, the image definition during display of different levels is ensured, the transmission data volume in unit time is reduced through an associated data advanced sending mechanism, and the real-time waveform rendering efficiency and the user experience are improved.

The invention discloses a low-light image enhancement method, system and device, and a storage medium, relates to the technical field of computer vision, and solves the problems of non-uniform illumination distribution and difficult denoising in an image restoration process in an existing illumination mapping technology. Respectively obtaining a low-frequency image of the low-illumination image and a high-frequency image of the low-illumination image based on the low-illumination image; obtaining a low-frequency image of the enhanced low-illumination image based on the low-frequency image of the low-illumination image; obtaining a high-frequency image of the enhanced low-illumination image based on the high-frequency image of the low-illumination image; obtaining an enhanced image based on the low-frequency image of the enhanced low-illumination image and the high-frequency image of the low-illumination image; designing a loss function based on the enhanced image, and training a frequency decomposition network model, a low-frequency path illumination adjustment network model and a high-frequency path illumination adjustment network model; and performing the operation on the low-illumination image to obtain a final enhanced image.

The invention relates to the technical field of remote sensing image processing, in particular to an ecological environment detection method and system based on a multispectral remote sensing fusion technology, and the method comprises the steps: collecting a multispectral remote sensing image of a target region; determining the foreground information rate of each pixel level in the remote sensing image of each wave band; calculating a distortion coefficient of the remote sensing image of each wave band; obtaining a relative loss coefficient of each pixel level in the remote sensing image of each wave band; dividing the remote sensing image of each wave band into superpixel blocks, and determining the wave band independence of each superpixel block in the remote sensing image of each wave band; screening candidate pixel points in each superpixel block, determining an atmospheric light value, and defogging the remote sensing image of each wave band in combination with a dark channel prior method; and performing ecological environment detection based on the remote sensing images of all wavebands after defogging. Therefore, the accuracy of ecological environment detection is improved.

The invention belongs to the technical field of streaming media video narrow-band transmission, and particularly discloses a video narrow-band transmission method and device under a bandwidth limited condition and electronic equipment, and the method comprises the steps that a transmitting end obtains a target video stream, and decodes the target video stream to obtain a high-resolution original image video stream; extracting structured information of a dynamic target in an original picture video stream picture; and obtaining the packet loss rate of the original picture video stream, carrying out quality reduction transcoding processing on the original picture video stream under the condition that the packet loss rate is greater than 0, generating a low-bit-rate video stream, and sending the low-bit-rate video stream after the quality reduction transcoding processing and the structured information to a receiving end, otherwise, directly sending the original picture video stream and the structured information to the receiving end. And when a receiving end receives the low-bit-rate video stream after quality reduction and transcoding, image amplification and image quality enhancement are carried out on the low-bit-rate video stream by using the structured information. According to the method, the problem of video packet loss and jamming during high-definition narrowband video transmission application can be avoided.

The invention relates to the technical field of picture rendering, in particular to a media picture rendering optimization method and system based on artificial intelligence. The method comprises the following steps: acquiring a terminal video stream; performing RGB format conversion on the terminal video stream to generate an RGB type frame image set; pixel partitioning is carried out on the RGB type frame image set, and RGB pixel matrix blocks are generated; performing color space acceleration conversion on the RGB pixel matrix block to generate a YUV cache data matrix; the YUV storage data matrix is sent to a DSP internal processing unit for key frame selection, and YUV key video frame data and YUV non-key video frame data are obtained; and performing intra-frame coding on the YUV key video frame data so as to generate YUV key frame coded data. According to the method, the media picture rendering efficiency is improved by optimizing data processing, transmission and rendering and combining user visual focus analysis.

The present invention relates to the technical field of automobile parts detection devices, specifically to an automobile parts detection platform, comprising a conveying device, a conveying belt is installed on the conveying device, a lifting and rotating control device is provided at the end of the conveying device, a turntable is installed on the lifting and rotating control device, a reinforcing beam is installed on the front end support frame of the conveying device, a conveying belt cleaning component is installed on the reinforcing beam, a rotating plate is hingedly connected to the side wall of the reinforcing beam by a cylindrical pin, a mounting plate frame is installed under the rotating plate, and a scraper is fixedly installed on the mounting plate frame by screws. The beneficial effects are as follows: a turntable and a camera are installed on the lifting and rotating control device of the present invention, and the turntable is made of transparent tempered glass, so that when in use, it is convenient for the upper and lower groups of cameras to take pictures of the front and back sides of the workpiece to be inspected, and at the same time, a scraper is arranged on the side wall of the reinforcing beam, so that the surface of the turntable can be conveniently cleaned by the scraper, thereby ensuring the light transmittance of the turntable.

The invention relates to the field of anorectal departments, and provides an anorectal postoperative endoscopic multifunctional examination device and an examination method thereof.The anorectal postoperative endoscopic multifunctional examination device comprises an insertion pipeline, a lens part is installed at the end of the insertion pipeline, an assembling boss is installed in the middle of the front end of the lens part, and a camera is installed at the front end of a convex head part of the assembling boss; a plurality of light supplementing lamps are installed on the outer side of the front end of the assembling boss at equal intervals, a radian transparent cover is installed on the outer side of the front end of the lens part, an inner carrying cylinder is installed in the lens part, a pulling assembly is arranged in the middle of the inner carrying cylinder in a sliding mode, hot air assemblies are installed at the top end and the bottom end of the inner carrying cylinder correspondingly, and a focusing assembly is installed on the radian transparent cover. During use, the pulling assembly, the hot air assembly and the focusing assembly are utilized, the problem of water mist condensation caused by light reflection, ghosting hot spots and temperature difference of the endoscope camera due to the transparent protective cover is avoided, and the imaging quality and the shooting reliability are improved.

The invention discloses an image measuring instrument with an auxiliary positioning function, and relates to the technical field of image measurement, the image measuring instrument comprises a placing frame and further comprises a positioning device, a placing hole is formed in the front side of the placing frame, a light supplementing device is arranged on the inner wall of the placing hole, a fixing rod is fixedly installed on the inner wall of the placing frame, and the positioning device is arranged on the fixing rod. Displacement equipment is slidably mounted on the circumferential surface of the fixing rod, image measurement equipment is arranged on the front side of the displacement equipment, a placement frame is fixedly mounted at the bottom of the inner wall of the placement frame, and the positioning device comprises a positioning groove, an electric push rod, a push plate, a supporting groove, a supporting rod, a supporting plate, a protection groove, a hollow block and a sliding block. The hollow block is limited by the sliding block, so that the push plate cannot continuously move in the direction close to the positioning groove, scraping and indentation on the surface of the workpiece can be reduced through reasonable clamping force, it can be ensured that the workpiece is kept at the stable position in the measuring process, and displacement or inclination caused by improper clamping is avoided.

The invention discloses a comprehensive cable monitoring device based on multiple sensors, and relates to the technical field of cable detection, the comprehensive cable monitoring device comprises a robot body, a rectangular box is arranged on the top surface of the robot body, an electric telescopic rod is arranged in the rectangular box, a mounting plate is arranged at the movable end of the electric telescopic rod, and a detection piece is arranged at the front end of the top surface of the mounting plate; a baffle is fixedly connected to one side face of the movable plate. A rectangular groove is formed in the top surface of the movable plate, a movable rod is slidably arranged in the rectangular groove, and a strip-shaped broom is arranged at the top of the movable rod; an electric push rod is arranged on the top surface of the mounting plate; a driving mechanism is arranged at the movable end of the electric push rod; through the use of the driving mechanism, the strip-shaped brooms reciprocate on the surface of the cable, dust on the surface of the cable is cleaned, it is avoided that heat dissipation of the cable is affected by dust covering of the cable, and safe operation of the cable is facilitated; meanwhile, the surface of the cable is prevented from being shielded by dust, so that the corrosion condition of the surface of the cable can be clearly observed.

The utility model discloses an out-of-focus and dot matrix composite lens for myopia control, which comprises a lens main body, a correction area, a central optical correction area, a central out-of-focus prevention and control area and a peripheral out-of-focus prevention and control area are arranged in the lens main body, and dot matrix areas are arranged in gaps of the central out-of-focus prevention and control area and the peripheral out-of-focus prevention and control area. And an out-of-focus transition area is arranged between the central optical correction area and the central out-of-focus prevention and control area. Compared with the prior art, the utility model has the advantages that the diameter of the optical correction area is reduced to 8mm, so that the defocus imaging effect is closer to the central area beside the retina macular fovea center, the prevention and control effect is enhanced, the transition area is added in the optical correction area, the initial wearing comfort is improved, the correction area and the transition area are converted more naturally, and the defocus ratio is close to 1: 1; the fusion mechanism of the visual center of the brain is fully utilized, the defocusing effect is ensured, and the definition and the contrast sensitivity required by daily life and learning are also ensured.

The utility model relates to the technical field of projection equipment, in particular to a projector, which comprises a shell, and a projection assembly, an air uniformizing structure and a cooling fan which are arranged on the shell, a containing cavity is formed in the shell, an air duct inlet communicated with the containing cavity is formed in the shell, and the projection assembly is arranged in the containing cavity; the air inlet end of the air uniformizing structure is connected with an air outlet of the cooling fan, and the air outlet end of the air uniformizing structure is connected with the air channel inlet. According to the projector provided by the embodiment of the invention, the air uniformizing structure is arranged between the cooling fan and the air duct inlet, so that airflow blown by the cooling fan passes through the air uniformizing structure and then enters the accommodating cavity of the shell to dissipate heat of the internal projection assembly, thereby enabling the airflow entering the accommodating cavity to be distributed more uniformly; the problem of poor local heat dissipation effect caused by non-uniform distribution of heat dissipation airflow in the existing projector can be effectively solved.

The invention provides a video recording method, a video recording device and electronic equipment. According to the method, whether the impact emission event occurs is determined through the sensor in the aiming emission equipment, and when it is determined that the impact emission event occurs, the current video frame rate of the video device in the aiming emission equipment is not the target frame rate required by the impact emission event, the current video frame rate of the video device is adjusted to be the target frame rate; the video recording device carries out video recording according to the target frame rate; and when the current video frame rate of the video recording device in the aiming emission equipment is the target frame rate required by the impact emission event, maintaining the video recording device to continue to carry out video recording according to the target frame rate, and under the condition of determining that the impact emission event occurs, adjusting the current video frame rate according to the relationship between the current video frame rate and the target frame rate so as to improve the video recording efficiency. And the power consumption is reduced under the condition of ensuring the video definition.

The utility model relates to self-cleaning monitoring equipment, belongs to the technical field of monitoring equipment, and provides the following technical scheme: the self-cleaning monitoring equipment comprises a mounting seat, a machine body movably connected to the mounting seat, a lens mounted on one side of the machine body, and a wiping assembly arranged at the bottom of the lens; the wiping assembly comprises a placing frame, the top of the placing frame is rotatably connected with a reciprocating screw rod, and the reciprocating screw rod is provided with a driving part used for driving and an abutting strip used for wiping the lens; a cleaning part and a control part are arranged on the placing frame, the control part controls the cleaning part to act, and dust on the surface of the lens is automatically treated. According to the utility model, the wiping assembly is connected to the outer wall of the bottom of the lens, so that the monitoring lens of the lens can be automatically wiped and cleaned, the risk of manual climbing and wiping can be avoided, the lens can be frequently wiped, the surface of the lens is always kept clean, and the monitoring definition of the lens is guaranteed.

The invention belongs to the field of geological research, and discloses a disintegration instrument capable of eliminating water turbidity in the loess disintegration process and a use method thereof, the disintegration instrument comprises a support, a transparent water tank, a camera and a data acquisition device; a water pump is arranged in the transparent water tank; a plurality of stacked filtering water tanks are arranged on the transparent water tank, a seepage hole-containing water pipe is arranged in the filtering water tank on the top layer, and one end of the seepage hole-containing water pipe is connected with a water outlet pipe arranged on a water outlet of the water pump; fully-paved filter cotton is arranged at the bottom of each filter water tank, every two adjacent layers of filter water tanks are connected through a bottom filter type drain pipe, a connected filter water return pipe is arranged on a water blowing port of the bottom filter type drain pipe of the filter water tank at the bottom layer, and the other end of the filter water return pipe is located in the transparent water tank; a tension sensor is arranged on the bracket, a connecting ring is arranged on the tension sensor, a filter screen for bearing a loess sample is arranged on the connecting ring, and the filter screen is positioned in the transparent water tank. And suspended sediment generated by the test can be effectively removed, and the accuracy of data is ensured.

The invention belongs to the technical field of monitoring equipment, and particularly relates to intelligent monitoring equipment based on the Internet of Things, the intelligent monitoring equipment comprises a mounting seat, an intelligent monitoring camera mounted on the bottom surface of the mounting seat and a glass cover arranged below the mounting seat, and a wind power transmission assembly is arranged below the glass cover; the banister brush can rotate in the direction perpendicular to the rotating direction of the glass cover in windy days, the effect of cleaning dust attached to the surface of the glass cover is achieved, the effect of enabling the glass cover to continue to rotate in windy and rainy days is achieved when rainwater is collected in rainy days, and the effect of conveniently scraping away rainwater on the surface of the glass cover is achieved; and cleaning of the surface of the glass cover by the banister brush is stopped in rainy days, dust attached to the inner wall of the water collecting box can be scoured, the effect of cleaning the surface of the glass cover is achieved through collected rainwater, and the shooting definition of the intelligent monitoring camera is guaranteed.

The invention provides a projection lamp and a vehicle. The projection lamp comprises a shell with a light emitting hole and a light emitting assembly. The light emitting assembly comprises a light source, a light mixing lens, a shading piece, a micro lens array and an outer lens arranged at a light emitting hole which are sequentially arranged in the light emitting direction; the number of the light sources is multiple, each light source can emit light of various different colors, the light mixing lens is provided with multiple dimming units, the multiple dimming units correspond to the multiple light sources in a one-to-one mode, and each dimming unit is provided with a light mixing part facing the corresponding light source and a light condensing part back to the corresponding light source; the shading piece is provided with a plurality of light emitting channels corresponding to the dimming units one to one. According to the projection lamp disclosed by the invention, the plurality of light sources and the light mixing lens which can emit light of various colors are arranged, so that the light of various colors is mixed and condensed by the light mixing lens and then correspondingly emitted through the plurality of light emitting channels on the shading piece, the micro-lens array and the outer lens; therefore, colorful dynamic patterns can be formed through projection.

The invention relates to the technical field of video signal compression, and particularly discloses a face video compression method and system based on key frame prediction, and the method comprises the steps: face video quality analysis, face video key frame extraction, face video compression, and face compressed video decompression and reconstruction. The method accurately evaluates the quality of a face initial video, deeply knows details and changes of extracted frame contents by analyzing feature data of each extracted frame, provides an accurate basis for subsequent key frame extraction, ensures that the extracted key frame can accurately reflect the changes in the video, and improves the accuracy of key frame extraction. Different compression codes are adopted for key frames and feature frames in the face video, compression resources are utilized more efficiently, meanwhile, the quality and definition of the video are guaranteed, and whether the final quality of the compressed face video reaches the expectation or not is judged by analyzing the feature data of the second face video, so that the face video quality is improved. And the quality and the effect of face video compression are ensured to meet expected requirements.

The invention provides an industrial product commodity picture generation method and system based on a large model picture processing method. The industrial product commodity picture generation method comprises the steps of obtaining an original industrial product commodity picture; preprocessing the original industrial product commodity picture stored in the object storage server to obtain the preprocessed original industrial product commodity picture; capturing the preprocessed original industrial goods pictures in the object storage server, storing the captured pictures to a kafka queue service, and asynchronously calling a large model to carry out parallel processing on the pictures in the kafka queue service to obtain processed pictures; whether the processed picture meets a preset quality requirement or not is judged, and when the preset quality requirement is met, the currently processed picture is regarded as an available finished picture and stored in an object storage server; and when the picture does not meet the preset requirement, calling the large model to perform repeated processing until the picture meeting the requirement is obtained.

The invention provides a vehicle-mounted camera attachment detection method, system and terminal, and the method comprises the steps: obtaining continuous video frames collected by a vehicle-mounted camera, and storing the continuous video frames in a frame list; preprocessing each video frame in the frame list; performing difference detection on all the preprocessed adjacent video frames, and identifying a pixel invariant region between the adjacent video frames based on a difference detection result; and carrying out multi-frame similarity comparison on the pixel invariant region to detect the existence of the attachment. The vehicle-mounted camera attachment detection speed and accuracy can be effectively improved, meanwhile, the requirement for computing resources is reduced, and the vehicle-mounted camera attachment detection method has the advantages of being high in detection precision, high in real-time performance, high in robustness, low in implementation cost, high in reliability and the like.