25 results about "Industrial imaging" patented technology

The invention provides a mobile phone shell defect detection method and system based on industrial vision, relates to the field of defect detection, and aims to suppress background noise interference through image noise reduction and image enhancement preprocessing on the basis of high-resolution industrial imaging and combine complementary feature extraction of a gradient direction histogram and a cavity convolutional network. And the local structure characterization capability of the tiny defects is enhanced. Further introducing Capsule Networks to dynamically model a spatial geometrical relationship of mobile phone shell state semantics, and utilizing an attention-driven cross-modal refined global interaction feature interaction mechanism to realize fine-grained alignment and coupling association between texture distribution features and semantic state features of the mobile phone shell, and finally, through an intelligent classification decision module, performing classification on the mobile phone shell state semantics. Various low-contrast and sub-pixel-level defect types under the complex texture background are accurately recognized, and the detection sensitivity and the algorithm robustness are synchronously improved.

The invention discloses a high-precision industrial CT imaging system geometric parameter correction method and system, and the method comprises the steps: 1, enabling a die body to be disposed at the center of a rotary table of an actual cone beam CT, and enabling the distance between a jth mark point in the die body and a selected mark point in a space coordinate system to be Dreal; step 2, determining actual projection data (vij, wij) of the jth mark point at the ith sampling angle under the local coordinate system of the detector; step 3, acquiring predicted projection data (vi (zeta j), wi (zeta j)) of a jth mark point at an ith sampling angle under a local coordinate system of the detector in a circular track cone beam mode; 4, a mean square error between (vij, wij) and (vi (zeta j), wi (zeta j)) is set as a target function, the optimal geometric parameter vector of the jth mark point is obtained, and the geometric parameter vector comprises the distance Drec between the jth mark point and the selected mark point in the space coordinate system and the distance sod between the ray source and the center of the rotary table; and step 5, using the Dreal, the Drec and the sod to obtain the correction distance sreal of the jth mark point and the selected mark point in the space coordinate system.

1. The name of the product of this design: industrial camera. 2. Purpose of this design product: for industrial imaging. Especially suitable for fabric imaging in industrial fabric inspection. 3. The design highlights of this design product are: the design highlight of Design 1 is the combination of shape and color; the design highlight of Design 2 is the shape. 4. The picture or photo that best illustrates the key points of the design: Design 1 Stereoscopic drawing 1. 5. Designate Design 2 as the base design. 6. The design 1 claimed in this application includes color.

1. Name of the designed product: industrial camera. 2. Use of the designed product: the product is used for industrial imaging and is suitable for product quality inspection. 3. Design points of the designed product: in shape. 4. Picture or photo that best indicates the design points: perspective view 1.

Disclosed herein is a circularity-invariant method for accurately determining the perimeter of a particle in a digital image. Conventional pixel-based perimeter estimation methods overestimate curved boundaries due to rigid assignment of diagonal pixel distances (√2), leading to errors in circularity and derived shape parameters. The disclosed method segments the particle, identifies boundary pixels, classifies them as orthogonal or diagonal, and applies an adaptive corrective factor defined as 1 + (D / X × 0.414), where D is the number of diagonal pixels and X is the total boundary pixels. This adjustment mitigates systematic overestimation, ensuring accurate, rotation-invariant perimeter estimation. The method improves calculation of circularity, convexity and high sensitivity circularity (HSC). It is computationally efficient, resolution-independent, and suitable for integration into industrial imaging workflows across materials science, pharmaceuticals, and biomedical applications.

The application provides an industrial CT image coupling artifact multi-scale generative adversarial network correction method, and belongs to the field of digital image processing. The method aims at the problem that image degradation caused by the coupling of various artifacts in industrial CT imaging is difficult to correct effectively, and provides a multi-scale generative adversarial network correction method. The feature pyramid structure is used to help the network capture more comprehensive artifact feature information, and a multi-scale discriminator is used to build a generative adversarial network framework, so that the generated artifact-removed image is clearer and more real. The method has strong coupling artifact correction capability, and can better restore the detail information of the image, thereby ensuring the accuracy of the geometric size and contour edge of the part in the CT image.

1. Name of the designed product: industrial camera. 2. Use of the designed product: the product is used for industrial imaging and is suitable for product quality inspection. 3. Design points of the designed product: in shape. 4. Picture or photo that best indicates the design points: perspective view 1.

The invention relates to the technical field of industrial imaging systems, in particular to an imaging module and an imaging system for a TBM (tunnel boring machine). The module comprises an image acquisition module, a transmission and storage module, an image analysis module, a main control module and a power supply module, the transmission storage module is used for receiving and storing the image data; the image analysis module is used for reading or receiving the image data for resolving and analyzing; the main control module is connected with the image acquisition module, the transmission storage module and the image analysis module; the main control module is used for realizing imaging processing control of each module in the imaging module; the power supply module is used for realizing energy supply support of each module in the imaging module; the image acquisition module, the transmission and storage module, the image analysis module, the main control module and the power supply module are all packaged in the packaging cabin. The module can stably run for a long time in a high-dust, high-humidity and high-vibration environment.

The invention relates to the field of industrial imaging and illumination, provides a light source parameter measurement method, and particularly relates to a light source irradiance measurement method and system and a radiation efficiency measurement method and system. The basic irradiance is calculated by using the camera, and the basic irradiance is updated and corrected based on the updated exposure time of the camera and the actual charge quantity, so that the accuracy of the finally obtained light source irradiance result is improved, and the deviation of the result is improved to be within + / -1% from + / -10%. And the method is suitable for light sources with various wavelengths, including visible light, ultraviolet light, infrared light and different types of light sources, and has a wider application range compared with a radiation illuminometer in the prior art.

The present invention relates to an industrial imaging posture adjustment system based on a large language model, comprising a fixing device, a manipulator device, a data acquisition module, a model training module, and an application module. By constructing a device, planning an imaging path, acquiring imaging data, and training a large model, the model is finally used to output a reference posture, and combined with manual fine-tuning, efficient and stable adjustment of the industrial imaging posture is achieved. The present invention obtains a large imaging posture model through training, and by inputting information about the object to be measured and defects, a reference posture is given, which greatly reduces the time consumption and instability of manual adjustment; by obtaining a reference posture, the time consumption of manual adjustment is reduced, time costs are saved, the requirements for operators are reduced, labor costs are saved, the stability of the effect is improved, and the imaging quality is improved.

The invention relates to an industrial imaging pose adjusting system based on a large language model. The industrial imaging pose adjusting system comprises a fixing device, a manipulator device, a data acquisition module, a model training module and an application module. Efficient and stable adjustment of the industrial imaging pose is realized by building a device, planning an imaging path, collecting imaging data, training a large model and finally utilizing the model to output a reference pose in combination with manual fine adjustment. According to the method, the large imaging pose model is obtained through training, and the reference pose is given by inputting the detected object and defect information, so that the time consumption and instability of manual adjustment are greatly reduced; by obtaining the reference pose, the time consumption of manual adjustment is reduced, the time cost is saved, the requirements for operators are reduced, the labor cost is saved, the stability of the effect is improved, and the imaging quality is improved.

1. Name of the product in this design: Industrial Camera. 2. Purpose of this design: As an industrial camera, used for industrial imaging. 3. The key design features of this product are the combination of shape and pattern. 4. The picture or photo that best illustrates the key design points: Design 1 3D diagram 1. 5. Design 1 is designated as the basic design.

The invention relates to an automatic exposure method for internal imaging of an aluminum casting hole in an industrial quality inspection scene in the technical field of industrial imaging. The automatic exposure method comprises the following steps: determining the maximum exposure time corresponding to an image average gray value meeting a detection requirement; determining an exposure time sampling interval; and performing interpolation polynomial fitting according to the maximum exposure time and the exposure time sampling interval. Compared with a conventional mode of determining exposure time in industrial AOI quality inspection, the method can save a lot of manpower work; the detection step length and the exposure time are decoupled, so that the method is more flexible; the method can adapt to the influence of the inner wall roughness and the bottom roughness caused by the abrasion of a machining tool on imaging to a certain extent.

The invention discloses an industrial DR equipment automatic defect detection method and system based on deep learning, and relates to the technical field of industrial nondestructive testing, and the method comprises the steps: obtaining industrial DR imaging data of a to-be-detected workpiece under a predetermined imaging attitude, and constructing an original image set according to an imaging sequence; and for the industrial DR imaging data in the original image set, based on the change consistency of the pixel gray in the spatial neighborhood, executing spatial continuity analysis, forming an abnormal region in which the gray change is continuously distributed in the space, and determining the abnormal region as a continuous gray abnormal region. Spatial continuity analysis is carried out on industrial DR imaging data, a continuous gray abnormal area is formed and identified, and a main extension direction is further determined based on a spatial distribution form of the continuous gray abnormal area in an image coordinate system, so that directivity description parameters are introduced in an abnormal area level, and the accuracy of the abnormal area is improved. And the continuous gray-scale abnormal region is not processed only as a gray-scale abnormal object any more.

The utility model discloses an industrial CT imaging device. The industrial CT imaging device comprises a base, a first linear module, a second linear module, a third linear module and a first ray source. The first linear module is mounted on the base, the first linear module is provided with a first sliding table and a second sliding table which are located on the same sliding rail, the first sliding table is connected with a first driving part, and the second sliding table is connected with a second driving part; the second linear module is installed on the first sliding table and is in orthogonal connection with the first linear module on the horizontal projection plane, a rotary table is installed on the second linear module, and a clamping assembly is arranged on the rotary table; the third linear module is installed on the second sliding table and is parallel to the second linear module, a lifting module is installed on the third linear module, a support is installed on the lifting module, the support is provided with a plurality of assembling areas, and a ray detector is installed on one of the assembling areas; the first ray source is connected with the base, and the first ray source and the ray detector are distributed on the two opposite sides of the clamping assembly.

The application provides a kind of industrial CT scattering and beam hardening coupling artifact suppression method based on deep learning, belongs to the field of industrial CT image processing, for the problem that coupled artifacts cannot be accurately separated and corrected in industrial CT imaging, a beam hardening, scattering coupling artifact model based on real CT image artifact features is constructed, a simulated image and an actual image are mixed to construct a data set by a coupled model representation equation, and artifact suppression and image enhancement are completed by a long-short connection, structure doublet improved neural network, effectively removing multiple types of coupled artifacts and noise, this method is suitable for coupled artifact suppression of any complex structure actual CT image, and the practicability and generality of the method are better.

This invention relates to an in-situ high-temperature testing device, system, and method for liquid metal environments based on industrial CT. The device includes a column mounted on a base, with a clamp lifting mechanism and a clamp self-rotation mechanism on the column, capable of driving the sample on the clamp to complete up-and-down reciprocating motion and automatic rotation. The testing method includes: 1) sample installation; 2) sample heating; 3) sample fatigue testing; 4) sample rotational three-dimensional CT scanning; and 5) cyclic loading and continuous observation. This invention not only meets the requirements for high-temperature in-situ testing in liquid metal environments but also shortens the distance between the X-ray source and the sample, and improves the resolution of industrial CT imaging.

The invention provides a multi-scale generative adversarial network correction method for industrial CT image coupling artifacts, and belongs to the field of digital image processing. The invention provides a multi-scale generative adversarial network correction method aiming at the problem that image degradation caused by the coupling effect of multiple artifacts in industrial CT imaging is difficult to effectively correct, a feature pyramid structure is utilized to help a network to capture more comprehensive artifact feature information, and a multi-scale discriminator is matched to build a generative adversarial network framework, so that the image quality degradation is effectively corrected. And the generated artifact-removed image is clearer and more real. The method has strong coupling artifact correction capability, and can better restore detail information of the image, so that the accuracy of the geometric dimension and the contour edge of the part in the CT image is ensured.

The utility model relates to the technical field of industrial imaging equipment, and discloses industrial imaging equipment, which comprises an equipment body, a cleaning mechanism and an adjusting mechanism, and is characterized in that the top of the equipment body is fixedly connected with a mounting plate; the cleaning mechanism comprises a water tank, a water pump and a vertical rod, one end of the water tank is connected with the water pump, a water guide pipe is arranged at the other end of the water pump, a water spraying pipe is arranged at the end, away from the water pump, of the water guide pipe, and a nozzle is arranged on the left side of the water spraying pipe; a lifting groove is formed in the right side of the vertical rod, a first lead screw is movably arranged in the lifting groove, a lifting block is in threaded connection with the surface of the first lead screw, and a cleaning brush is fixedly connected with the right side of the lifting block. According to the industrial image equipment, the cleaning brush moves up and down for cleaning, and cleaning water is provided for the cleaning brush through the water guide pipe and the water spraying pipe, so that the lens surface of the equipment body is better cleaned.

The application relates to the field of industrial imaging and lighting, and relates to a light source parameter measurement method, in particular to a light source radiation illuminance measurement method, a radiation efficiency measurement method and a system. A camera is used to calculate basic radiation illuminance, and the basic radiation illuminance is updated and corrected based on an updated exposure time of the camera and an actual charge amount, so that the accuracy of the finally obtained light source radiation illuminance result is improved, and the deviation of the result is improved from + / - 10% to within + / - 1%. The method is suitable for light sources of various wavelengths, including visible light, ultraviolet and infrared, and different types of light sources, and has a wider range of use compared with the radiation illuminance meter in the prior art.

1. Name of the product in this design: Industrial Imaging Equipment. 2. Purpose of this design: for ultra-high-definition image detection. 3. The key design features of this product are the combination of shape and pattern. 4. The image or photograph that best illustrates the design's key points: a 3D model.

The invention provides an industrial CT (Computed Tomography) pose parameter calibration method based on a microsphere motif, which relates to the field of industrial CT imaging and comprises the following calibration steps: acquiring perspective images of the microsphere motif at different positions; extracting circle center coordinates of a microsphere projection circle in the perspective image; calculating the coordinates of two projection points on the rotating shaft according to the circle center coordinates of the projection circle so as to calibrate the in-plane deflection angle of the detector; establishing a mathematical relationship model among pose parameters, model body parameters and projection image coordinates, and calibrating the distance between a radiation source and a rotating shaft of a rotating table and the distance between the radiation source and a detector; and establishing a mathematical relationship model among the circle center coordinates of the projection circle of the sphere a, the offset of the detector and the parameters of the industrial CT system, and realizing the calculation of the offset of the detector. The rotary table does not need to be rotated by too many angles, the influence of the motion error of the rotary table on the calibration result is avoided, and meanwhile the machining difficulty of the die body is reduced.

The application relates to the field of industrial imaging, and particularly discloses an industrial CT / DR detection device, which comprises a detection unit and a workpiece loading unit, the workpiece loading unit comprises a moving trolley, a first limiting support frame, a first sliding table and a second limiting support frame slidably installed on the first sliding table, the first limiting support frame is fixedly installed on the moving trolley, the detection unit comprises a radiation part, a detection part and a sliding part for driving the radiation part and the detection part, and the radiation part and the detection part are opposite to the first limiting support frame or the second limiting support frame. The radiation part and the detection part can be matched with the sliding part, the setting of the sliding part can provide guidance for the movement of the radiation part and the detection part, the radiation part and the detection part are opposite to the workpiece, and meanwhile, the installation and dismounting of the workpiece are facilitated when the radiation part and the detection part are not opposite to the workpiece, so that the detection of the workpiece is more convenient and fast.

1. Name of the designed product: industrial camera. 2. Use of the designed product: for industrial imaging. 3. Design points of the designed product: the design points of design 1 and design 3 lie in the combination of shape and color, the design points of design 2 and design 4 lie in shape. 4. Picture or photo best indicating the design points: design 1 perspective view 1. 5. Design 2 is designated as the basic design. 6. Design 1 and design 3 require protection of color.

The application discloses a high-precision industrial CT imaging system geometric parameter correction method and system, which comprises the following steps: step 1, a phantom is arranged at the center of a rotating table of an actual cone beam CT, the distance between a jth marker point in the phantom and a selected marker point is D real in a space coordinate system; step 2, actual projection data (v ij ,w ij ) of the jth marker point at an ith sampling angle in a detector local coordinate system is determined; step 3, predicted projection data (v i (ζ j ),w i (ζ j )) of the jth marker point at the ith sampling angle in the detector local coordinate system in a circular trajectory cone beam mode is obtained; step 4, the mean square error between (v ij ,w ij ) and (v i (ζ j ),w i (ζ j )) is set as a target function, and an optimal geometric parameter vector of the jth marker point is obtained, wherein the geometric parameter vector comprises the distance D rec between the jth marker point and the selected marker point in the space coordinate system and the distance sod between a ray source and the center of the rotating table; and step 5, the corrected distance sod real between the jth marker point and the selected marker point in the space coordinate system is obtained by using D rec , D real and sod.