77 results about "Visual contrast" patented technology

The invention discloses a traffic video question and answer method based on inter-frame difference, and the method comprises the steps: innovatively constructing an inter-frame difference extraction module on the basis of an image pre-training model based on the local abrupt change characteristic of a traffic video: effectively capturing the abrupt change characteristic of a moving target through the pixel-level difference calculation of adjacent frames; and designing a gating feature fusion mechanism, dynamically aligning spatial distribution of differential features and visual features on the basis of fusing problem features, and realizing collaborative characterization of static scenes and dynamic changes. In order to enhance cross-modal feature alignment, a hierarchical comparison learning strategy is provided: differential-visual feature comparison is implemented at a bottom layer to enhance local dynamic perception, and text-visual comparison is performed at a high layer to establish global semantic association. Experimental results show that the classification performance is improved on the basis of the SUTD-TrafficQA reference data set.

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

The invention relates to the technical field of image updating, in particular to a multi-modal image real-time updating method and system for temporal bone surgery. The method comprises the following steps: acquiring a real-time multi-modal image, performing pixel-by-pixel frequency domain reconstruction optimization, and constructing a frequency spectrum enhanced fusion image; performing reverse geometric transformation compensation on the spectrum enhancement fusion image to obtain a space alignment optimization image; performing real-time visual contrast enhancement on the space alignment optimization image, and constructing a visual enhancement image; carrying out inter-frame difference calculation on the vision enhanced image, carrying out real-time increment updating optimization, and constructing an increment updating image sequence; and performing multi-level cache rendering management and parallel execution based on the incremental updating image sequence. The temporal bone surgery safety and efficiency are improved through real-time and efficient image updating.

The invention discloses a character interaction detection method based on multi-granularity context aggregation and occlusion reconstruction, and the method comprises the steps: extracting multi-scale features through a Swin Transform, and carrying out the modeling of long-range dependence through a deformable encoder; the features pass through a texture-local collaborative enhancement module, and in combination with texture covariance enhancement and a gating local attention mechanism, discrimination is improved, and background interference is suppressed. The decoder generates an instance query and bounding box prediction. For the occlusion problem, a space adapter is introduced to extract multi-granularity features, and the semantics of an occluded area is restored through random erasure and residual gating in combination with an occlusion reconstruction module. In the interactive reasoning stage, fusing reconstructed features and query to construct interactive global embedding, and analyzing a character-action-object relationship; and meanwhile, CLIP text semantic embedding is introduced as classification initialization, and semantic alignment is optimized by combining visual contrast loss. According to the method, the robustness of feature representation and shielding is enhanced, and the detection precision and semantic consistency in a complex scene are improved.

The embodiment of the invention relates to a page component processing method and device, equipment and a storage medium, and the method comprises the steps: after a playing operation for a first video is received, if the brightness change intensity indicated by the brightness information of the first video is determined to be greater than preset change intensity, according to the brightness value of each video frame in the first video, determining that the brightness change intensity is greater than the preset change intensity; and determining the background transparency value of the target page component on the corresponding video frame, and controlling the visual contrast between the target page component and the video frame. And displaying a target page component on a video picture of the video frame according to the background transparency value. According to the method and the device, the transparency value of the background color displayed on the video frame by the target page component can be determined according to the brightness value of the video frame of the video with relatively high brightness change intensity, so that the visual contrast of the target page component and the video picture is controlled; the information displayed on the target page component is efficiently transmitted to a user in a scene that the user plays a video.

A synthetic image device comprises an array of line focusing elements and an image layer (20) having linearly extending cells The image layer is positioned at a distance relative to the array of line focusing elements such that a limited part of the image layer becomes visible when the image layer is viewed through the array of line focusing elements. Each cell comprises at least two sub-cells, provided side-by-side in a transverse direction (T). The sub-cells of the image layer have individual visual-contrast creating items in patterns (21) forming sub-images. Composed images, each associated with a set composed by one sub-image from each cell, are visible from different viewing angles in the transverse direction. Within overlap areas (42E-G), an average pattern density of the visual-contrast creating items in at least two sub-cells giving rise to the overlapping composed images is less than a complete coverage.

The invention discloses a storage battery based on a two-dimensional code traceability function. The storage battery comprises a storage battery body, an exclusive two-dimensional code identifier, a cloud database, a special management APP and an intelligent polishing tool, the exclusive two-dimensional code identifier is printed through acid and alkali resistant UV ink, covers the polycarbonate transparent wear-resistant coating and is permanently fixed on the battery cover of the storage battery body, and the color of the two-dimensional code and the battery cover form obvious visual contrast; the exclusive two-dimensional code identifier is associated with a unique identity identifier, and the unique identity identifier and storage battery full life cycle data are bound and stored in a cloud database. According to the method, the data reading efficiency is improved, the full-life-cycle data association rate is improved, manual one-by-one retrieval is not needed, complete data of the battery from production to operation and maintenance can be directly obtained through code scanning, errors of data recording and querying are reduced, meanwhile, physical coating and encryption dual protection is adopted for the two-dimensional code, the tampering rate is decreased to 0, and the anti-fake capacity is remarkably improved.

The invention relates to the technical field of machining, in particular to a machining method of a support bearing, which comprises the following steps: after finish turning of the support bearing, sequentially carrying out rough grinding of an inner hole, accurate grinding of an outer circle and an end surface, accurate grinding of a large end surface by adopting a surface grinding machine, final accurate grinding of the inner hole and milling of an oil wedge surface. According to the method, the traditional process route of'reference in advance 'is changed, clamping scratches before final accurate grinding of the inner hole are effectively avoided, and the stability of the roughness of the large end face is guaranteed through surface contact machining of a surface grinding machine; and meanwhile, temporary coloring treatment is conducted on the large end face obtained after accurate grinding, a visual contrast layer easy to identify is formed, the problems of inner hole scratches, end face roughness fluctuation and machining reflection interference are effectively solved, and the machining quality, consistency and production efficiency of the supporting bearing are improved.

A synthetic image device (1) comprises an array (10) of line focusing elements (11), an image layer (20) having linear extending cells (22), and a coloured background layer assembly (25). A limited part of the image layer is visible through the array of line focusing elements. Each cell comprises at least three sub-cells (24A-C). The at least three sub-cells having individual visual- contrast creating patterns (21), forming sub-images. Composed images, associated with a set composed by one sub-image from each cell, are visible from different viewing angles. The composed images together present a movement effect. The coloured background layer assembly covers a surface facing away from the image layer. The background layer assembly has a first colouring (28A), visible through the image layer. The first colouring presents a colour varying over the extension of the background layer assembly in registry with movement effects. A producing method is also disclosed.

A method of providing a dark viewing mode with enhanced visual contrast includes evaluating the luminance and chroma of background colors, including highlight colors, of digital content prior to converting the digital content for the dark viewing mode to identify highlight colors having a luminance value that exceeds a luminance value threshold and a chroma value that exceeds a chroma value threshold. When a highlight color has luminance and chroma values that exceed the respective threshold values, the luminance value of the highlight color is clamped to a predetermined lower luminance value before converting the value for the dark viewing mode. The luminance value is converted for dark viewing mode by taking the opposite luminance value. As a result, the luminance value of the converted highlight color has a higher luminance value and greater luminance contrast with respect to the dark background in dark viewing mode.

The invention relates to the technical field of intelligent manufacturing, in particular to an intelligent manufacturing unit-oriented integrated industrial robot control system, which comprises an integrated control center, an initial interaction module, a task scheduling module, a dynamic collaboration module, a collaboration presentation module and an early warning response module, according to the method, identification, matching and testing of robot communication protocols are automatically completed, the equipment access time is remarkably shortened, meanwhile, it is ensured that all robots can stably complete data interaction, system access dead angles caused by protocol incompatibility are avoided, candidate equipment is screened based on production task requirements and the real-time states of the robots, and the production efficiency is improved. Meanwhile, the task execution error probability is reduced through multi-dimensional comprehensive evaluation and in combination with a load capacity deep screening robot, in addition, in the material grabbing link, center deviation is judged through visual comparison, re-grabbing or abnormal early warning is automatically triggered, production stagnation caused by material grabbing errors is reduced, along with reasonable path planning, the production efficiency is improved, and the production cost is reduced. And the robot driving path safety is ensured.

The utility model discloses an electric vehicle hub motor appearance detection device based on a computer vision system, which comprises a conveying mechanism, a carrier, a camera module, a light source module and a computer system, the carrier is connected to the conveying mechanism and can move along the surface of the conveying mechanism, the carrier is used for placing and fixing a hub motor to be detected, and the camera module is connected to the camera module. A rack is fixedly connected above the conveying mechanism, the camera module, the light source module and the computer system are all connected to the rack, the camera module is used for shooting and identifying a hub motor, the light source module is used for illuminating the hub motor, and the computer system is connected with and controls the camera module and the light source module. The camera module can automatically detect and judge the problems of omission, deformation and the like of laser etching characters of products by using an OCR technology, and judges whether the problems of omission of oil seal installation, reverse installation of oil seal, missed installation of screws, valve hole dislocation after assembly of a hub and a side cover and the like exist or not by using a visual comparison technology, so that omission and misjudgment caused by manual inspection are completely eradicated.

The invention relates to the technical field of packaging bag production and detection, and discloses a packaging bag defect visual inspection system and a method thereof. The visual shooting unit is used for shooting and collecting the target graph appearance of a specific area, the area formed by the #-shaped structure is used for being compared with the area of a packaging bag, the edge comparison module is used for visually comparing the boundary dimension deviation of the packaging bag and adjusting the detection area, and the conveying module is used for conveying the packaging bag to the detection area. The conveying belt of the conveying module is used for providing supporting conditions during packaging bag detection. According to the packaging bag thickness detection device, the broken and leaked area of the defective packaging bag is used, the contact roller is in direct rolling contact with the packaging bag, the supporting laser sensor is used for measuring and calculating generated height difference data, if the height difference data exceed the thickness size of the packaging bag, the packaging bag is judged as a defective product, and therefore uniform detection of the thickness of the packaging bag is achieved; and bubbles or uneven surfaces are avoided after heat sealing.

This invention relates to the field of welding inspection technology, and specifically to a method and system for detecting welding defects. The method includes: acquiring a depth map of a workpiece weld; performing adaptive pseudo-color encoding on the depth map to obtain a pseudo-color image, wherein a lookup table is constructed based on the cumulative distribution function of the depth map, and depth values ​​are mapped to color values ​​through the lookup table; calculating pixel-level normal vectors based on the depth map, and performing illumination rendering on the pseudo-color image according to the pixel-level normal vectors to obtain a rendered image; inputting the rendered image into a defect detection network, and outputting defect detection results. This invention, by constructing a lookup table based on the cumulative distribution function of the depth map for adaptive pseudo-color encoding, can automatically adjust the color mapping relationship according to the actual depth distribution of each depth map, making different depth values ​​visually present a more uniform and obvious color difference, effectively improving the visual contrast and feature representation of the depth map.

The present application relates to the field of intelligent control and photoelectric detection of aviation obstruction light, in particular to an aviation obstruction light adaptive dimming system based on wireless networking; the system comprises an environment sensing module, a feature coupling module, a control solving module and an adaptive driving module; the ambient light intensity value, the background environment color temperature value and the space scattering evaluation value are collected, the multi-dimensional light feature coupling compensation coefficient is solved, the background environment light comprehensive interference value is corrected and generated, and the target light source effective light intensity and its ratio are set as the dynamic ambient light signal-to-noise ratio; then the preset visual compensation model is input, the visual saliency maintenance index is solved and the dimming control instruction is generated, the driving current and the pulse duty cycle are adjusted, so that the visual contrast of the target light source is maintained within the preset safety interval, the present application can ensure the long-distance warning and recognition ability, suppress the near-distance glare and halo aggravation, and take into account the warning effect, thermal stability and device life.

The invention discloses a galaxy form classification method and system based on asymmetric cross-modal momentum contrast learning, and belongs to the technical field of image classification, and the system comprises a visual encoder which extracts image features and stores the image features in a momentum feature queue; the text encoder is used for encoding the text information to generate initial text embedding; the dynamic text embedding projection layer is used for embedding the initial text into the projection to obtain a text projection; the classification head is used for predicting a galaxy form classification result; the processing module is used for calculating total loss including visual contrast loss and cross-modal alignment loss, and updating model parameters of the visual encoder, the dynamic text embedding projection layer and the classification head by using the total loss; for the total loss, the weighted weight of the visual contrast loss is greater than the cross-modal alignment loss. According to the method, asymmetric interaction of images and texts can be realized, text information is effectively fused in a visual dominant galaxy classification task, the classification precision is improved, and resource consumption is optimized.

The application discloses a kind of cross-scale, multi-mode, visual biological detection device and detection method, belong to biological detection technical field, including: X-ray fluorescence imaging module, mechanical spectroscopy adhesion monitoring module, signal integration processing module.X-ray fluorescence imaging module is used for the acquisition, optimization, coding and identification of biological sample blue, green, red and near-infrared color pattern, mechanical spectroscopy adhesion monitoring module is used for real-time, dynamic monitoring and recording to biological sample active adhesion, through the collaborative processing analysis of X-ray optical signal and mechanical spectroscopy signal of the biological sample to be measured, realize the fluorescence visual of biological sample morphology, structure component and the accurate acquisition of biological activity data, for the research and application of cross-scale, multi-mode, visual contrast agent of mechanical spectroscopy and X-ray excited fluorescence imaging provides equipment support, promote its development optimization and conversion application in biomedical field such as inflammation infection, malignant disease, tumor diagnosis.

The utility model relates to a fogging out-of-focus composite lens and a pair of frame glasses with the fogging out-of-focus composite lens, and belongs to the field of out-of-focus lenses. A fogging out-of-focus composite lens comprises: a lens substrate; a plurality of out-of-focus micro lens groups, wherein the plurality of out-of-focus micro lens groups are sequentially nested on the surface of one side of the lens substrate from inside to outside; the plurality of groups of annular fogging defocus areas are arranged on the surface of the other side of the lens base body, and the orthographic projection of each group of annular fogging defocus areas is located between the two connected groups of defocus micro lens groups. The structure of the lens is optimized, and thousands of light scattering micro points exist from the edge to the center of the lens. And the visual contrast of each distance is reduced. The fogging out-of-focus technology effectively reduces'extension 'signals sent by the eyes to the brain, so that the growth of the ocular axis is delayed. Due to the design of scattered light, when the user uses the eyes for a long time, the visual pressure is relieved, the eyes feel more comfortable, and common visual fatigue and dry feeling are reduced.

The invention provides an aim point display method and device, electronic equipment and a storage medium. The method comprises the steps that an aim point graph is displayed on a display picture of an application program in an overlapped mode; acquiring a background image of an area where the aim point graph is located in real time, and extracting color features of the background image; determining a target color according to the color features and a preset color processing strategy, wherein the target color is used for forming visual contrast between the aim point graph and the background image; and updating and displaying the aim point graph by using the target color. According to the scheme, the color of the aim point can be adaptively adjusted along with the change of the background in real time, so that the aim point can be kept clear and distinguishable by forming strong visual contrast with the background in any complex game scene, and the aiming accuracy and the game experience are remarkably improved.

The invention discloses a nickel-cobalt ion extraction visual contrast detection method and an extract liquid detection device, the detection method comprises the following steps: a sampling pump pumps an extract liquid in an extraction tank into a sampling pipeline, a concentration sensor of the sampling pipeline obtains the total concentration of the extracted extract liquid, and the concentration information is transmitted to a terminal; the visual detection camera adjusts the exposure time according to the total concentration of the extracted extraction liquid, photographs and samples the extracted extraction liquid in the sampling pipeline, and then transmits a photographed and sampled picture to the terminal; the color distinguishing module performs color value analysis and decomposition on the RGB color of the extracted extraction liquid picture; and comparing the RGB value of the picture of the extracted extraction liquid with the RGB value of the standard sample of the nickel-cobalt mixed solution under different concentrations to obtain the concentration value of the nickel-cobalt ions in the extracted extraction liquid. According to the detection method provided by the invention, the extraction degree can be accurately and timely fed back, the continuity of the production process is ensured, and the extraction efficiency is improved.

A totally transparent glass jar, intended for containing foodstuffs, with a substantially cylindrical shape; the midsection is characterized by a smooth, continuous and cylindrical surface; the surface delineates a visually neutral area, which enhances, by contrast, the three-dimensional elements located both in the upper and in the lower parts; the underside is characterized by a decorative peripheral band, which consists of four horizontal annular ribs, that extend all around the entire circumference, circularly; a further peripheral decorative band is located symmetrically, at the top, just below the jar neck; this band consists of four horizontal annular ribs, which are identical in number, proportions and arrangement to those of the lower band; all the ribs – both in the upper and in the lower parts - have a purely aesthetic function; the jar neck is narrower than the body and has oblique helical ribs; the open part of the jar is circular and has a regular rim; the individual character of the design arises from: the symmetrical repetition of the decorative bands; the visual contrast between the bands and the smooth cylindrical midsection; and the proportional balance between the body, the decorative bands and the neck; all the reflections and shadows caused by the lights, shown in all reproductions of design No. 1, are disclaimed from the application for registration of design; the No. “22” and the wording “720 ml” shown on the bottom view, are also disclaimed from the application for registration of design; fig. No. 1.1 is a front view of the product; fig. No. 1.2 is a perspective view of the product; fig. No. 1.3 is a further perspective view of the product; fig. No. 1.4 is a bottom view of the product; fig. No. 1.5 is an enlarged view that shows the decorative peripheral band in the underside, which consists of four horizontal annular ribs that extend all around the entire circumference, circularly; fig. No. 1.6 is a top view of the product, which shows its open upper part; fig. No. 1.7 is an enlarged view that shows the decorative band just below the jar neck, which consists of four horizontal annular ribs, identical in number, proportions and arrangement to those of the lower band.

The present invention discloses a method for tracking a target for autonomous aerial refueling of a UAV based on a falcon-like visual twin network: 1. Multi-scale feature extraction based on the contrast sensitivity mechanism and adaptive focusing mechanism of the falcon-like vision; 2. Similarity calculation and feature fusion based on the bifoveal visual interaction mechanism of the falcon-like vision; 3. Classification and regression loss function design based on the perceptual competition and decision-making mechanism of the superior colliculus pathway of the falcon-like vision; 4. Training the falcon-like visual twin tracking network and outputting classification loss and regression loss; 5. Testing and evaluating the falcon-like visual twin tracking network. The present invention can adapt to various complex environments and changes in the size of the UAV's appearance; can efficiently fuse multi-scale spatial features and focus on the most significant areas; can maximize tracking stability and improve the success rate and safety of autonomous aerial refueling of the UAV; the training strategy is adapted to the complex autonomous aerial refueling environment of the UAV; the feature extraction and fusion are efficient, robust and generalizable, and require less training data.

The invention belongs to the field of image processing, and discloses an underwater image quality evaluation method and system based on visual contrastive analysis and brightness-chrominance statistical learning, which enable non-reference quality evaluation to have class reference capability by generating a pseudo original image corresponding to a distorted image to be detected, and remarkably improve the effectiveness of quality difference measurement. By comparing and analyzing the pseudo original image and the distorted image to obtain the first perception quality difference feature, the real perception change of underwater distortion can be described, and the accuracy of perception difference measurement is improved. Second perception quality difference features are calculated based on the similarity of the two, so that the evaluation model can comprehensively consider the structural consistency and the detail degradation degree, and the final quality judgment is more fit for the visual perception rule. According to the method, the accuracy and robustness of no-reference underwater image quality evaluation are greatly improved, and the method is suitable for more engineering application scenes.

Described are various embodiments of a contrast-enhancing staining system and method. In one embodiment, a method is described for enhancing contrast in an image of a substrate surface between regions of said substrate having different charge carrier characteristics. The method comprises exposing said substrate to a staining precursor comprising an oxidant; directing microwave electromagnetic radiation at the substrate, said microwave electromagnetic radiation enhancing a reaction rate of said oxidant reacting into a deposition material, said reaction rate being related to the charge carrier characteristics of a proximal region; and acquiring an image of said substrate surface indicating a visual contrast between each of said regions based on differential deposition of the deposition material therebetween.

This paper describes a double-sided aspherical diffractive multifocal lens and a method for manufacturing and designing such a lens in the field of ophthalmology. The lens includes optics comprising an aspherical front surface and an aspherical rear surface. Multiple concentric diffractive multifocal regions are designed on one of the two surfaces. The other surface may include a toric surface component. Compared to a single-sided aspherical lens, the double-sided aspherical surface design improves the modulation transfer function (MTF) of the lens-eye combination by reducing aberrations and enhancing visual contrast. The surface with multiple concentric diffractive multifocal regions produces near-focal, intermediate-focal, and far-focal points. The phase order of the diffractive annular lens region is shaped into a sinusoidal distribution.

The invention discloses an image classification method and device for mining a semantic relationship by using a large language model, relates to the technical field of image processing, and can improve the recognition and clustering of images of unknown categories. According to the scheme, the method comprises the following steps: acquiring a training sample set, wherein the training sample set comprises a plurality of first images with labeled categories and a plurality of second images with unlabeled categories; for the labeled categories, generating semantic description of each category in multiple dimensions by using a large language model; based on the semantic description of each category, determining semantic relevancy between the semantics of each category and the semantics of other categories to obtain a semantic relevancy matrix; constructing a target semantic visual contrast loss function based on the semantic relevancy matrix, the feature vector of the first image and the temperature coefficient; and embedding the target semantic visual contrast loss function into an original loss function of the GCD task to obtain a target GCD task, and identifying and clustering the images in the training sample set by using the target GCD task.

The application discloses an aerosol generating article and a device used in cooperation with the aerosol generating article. The aerosol generating article is provided with a trigger part. The aerosol generating device comprises a recognition unit. The recognition unit comprises a moving assembly movable between a first position and a second position and a recognition element. The recognition element can recognize whether the moving assembly is in the first position or in the second position. When the aerosol generating article is received in the aerosol generating device, the trigger part makes the moving assembly in a preset position. At this time, the recognition element outputs a recognition signal to make the aerosol generating device heat the aerosol generating article. The preset position is the first position or the second position. Compared with the existing optical recognition or handheld external device recognition, the scheme adopts mechanical movement to trigger the recognition element, does not involve complicated visual comparison or external equipment, is simple to recognize, and reduces the cost of the device.

An edge device can include a processing device, an image sensor, and a memory having instructions that are executable by the processing device for causing the processing device to perform operations. The processing device can receive, from the image sensor, an image of an environment. The processing device can determine a visibility measure corresponding to the environment by determining a dark channel of the image, determining, based on the dark channel of the image, a transmission map of the image, and determining, based on the transmission map, a visual contrast of the image. The processing device can generate information corresponding to the visibility measure.

The application relates to the technical field of intelligent control, and discloses a kind of ultra-low power consumption micro-LED visible light intensity self-adaptive regulation and control method and system, the method includes obtaining analog light intensity signal and obtaining ambient light intensity value by smoothing processing;Calculate the light intensity change rate, if it exceeds dynamic threshold, mark the environment state and output the light intensity difference value;According to state matching control parameter, with difference value quantization mapping generates preliminary adjustment instruction, combines basic brightness to calculate target light intensity;Calculate the actual and target deviation after executing the instruction, and obtain the light intensity control signal by iterative correction;If power consumption is over limit, then optimize signal amplitude;Input drive circuit analyzes and synthesizes pulse current, excites pixel to emit light and converges to obtain adjustment data;Calculate visual contrast, if it is lower than threshold, then re-adjust the change rate to realize closed loop refining, improve light intensity regulation accuracy.This method can improve the real-time sensing ability of ambient light.

The invention relates to the technical field of liquid crystal batteries, and particularly discloses a preparation process of a high-gloss frame with batch teeth. The preparation process comprises the following steps: providing a base material, pre-treating, stamping to form a frame prototype with a tooth surface and a highlight surface, polishing the highlight surface, processing grooves and nick textures on the tooth surface, grinding the tooth surface by adopting a special deburring mechanism, and post-treating. The method is characterized in that the steps of highlight surface polishing, batch tooth surface forming and deburring are integrated on the same clamping station to be continuously completed, and the machining precision is ensured; the deburring mechanism drives the soft polishing wheel to do closed rectangular track motion in a plane parallel to the tooth surface through a motion structure, so that any point of the tooth surface is subjected to at least two times of grinding in opposite directions, efficient deburring is achieved, and ridges are smooth and uniform. The manufactured frame has the mirror surface effect of a highlight surface and the unique diffuse reflection texture of a screwdriver tooth surface, the visual contrast is strong, the touch feeling is smooth, and wear resistance and corrosion resistance are achieved.