A compression state measuring method is adapted to measure a compressed state of a compressed object compressed by a compressing object. First, at least one image of a first surface region of the compressed object not covered by the compressing object is captured. A first strain distribution value of the first surface region is obtained according to the at least one image. At least one strain distribution function is obtained according to the first strain distribution value. A second strain distribution value of a second surface region of the compressed object covered by the compressing object is obtained according to the at least one strain distribution function.

The disclosure discloses an online detection method of circular weft knitting stripe defects based on a gray gradient method, and belongs to the technical field of textile product detection. The method provides a defect detection and positioning method based on the gray gradient method. Before the detection on a new product, only a model needs to be trained to obtain stripe defect feature images with different stitch types and different stitch densities, and the detection is directly performed in a subsequent process. Defects can be fast and accurately recognized, and a cam position causing the stripe defects can be calculated according to a quantity of shot images between the feature images and a marked image, courses in which marks in the marked image are located, courses in which defects in a defect image are located, and machine operation parameters. Moreover, a defect detection device required by the disclosure can be modified on an original circular knitting machine, so the detection cost is reduced.

One embodiment can provide a system and method for determining joinder points on to-be-joined fabric pieces. During operation, the system captures an image comprising the to-be-joined fabric pieces; identifies to-be-joined edges, respectively, on the fabric pieces; for each edge, computes a curve that substantially fits the edge; and determines the joinder points on the edge based on the computed curve. Variance of distance between two consecutive joinder points on the edge is within a predetermined value.

An example system is described herein. The example system may include an inspection device comprising at least one image capture device, the at least one image capture device configured to capture a reference image of a sheet part. Additionally, the example system may include a processing unit configured to identify at least one primary point in the reference image and identify at least one secondary point in a mask image. The processing unit may transform the mask image based on the at least one primary point and the at least one secondary point. The processing unit may apply the transformed mask image to the reference image to identify an inspection region within the reference image, process the inspection region of the reference image to determine the quality of the sheet part, and output information indicative of the quality of the sheet part.

A method for detecting a surface defect, a method for training model, an apparatus, a device, and a medium, are provided. The method includes: inputting a surface image of the article for detection into a defect detection model to perform a defect detection, and acquiring a defect detection result output by the defect detection model; inputting a surface image of a defective article determined to be defective into an image discrimination model based on the defect detection result to determine whether the surface image of the defective article is defective, wherein the image discrimination model is a trained generative adversarial networks model, and the generative adversarial networks model is obtained by training using a surface image of a defect-free good article; and adjusting the defect detection result of the surface image of the defective article according to a determination result of the image discrimination model.

Systems for providing efficient manufacturing of paper, sheet, and/or box products of varying size and structure, often with pre-applied print (“pre-print”), are provided herein. Efficient customer ordering/tracking, job aggregation, print imposition, corrugator planning, and tracking and adjustments throughout the manufacturing process are contemplated. A reel editor is configured to edit the roll based on waste and/or errors that occurred during various manufacturing processes (e.g., during printing). A control plan defining what is on each roll of printed web product may be updated after editing. Depending on the configuration, the reel editor may be integrated with various manufacturing components. The reel editor may be configured to determine if there is enough waste on the roll to even making editing worthwhile, such as based on desired quality of the images, customer requirements, different price points, among other possible factors.

A method of detecting defects in a composite structure includes applying heat to a surface of a composite structure. Thermographic images or frames captured by a moving camera may be utilized to corm temporally aligned images that include temperature data (pixels) from a plurality of frames, wherein the pixels comprise data captured at a simple (uniform) time delay from the time at which heat was applied. The temporally aligned thermographic data for the surface region may include variations due to differences in thermal transients caused by defects in the composite structure. The variations in the thermographic data may be utilized to detect one or more defects in the composite structure.

A laundry washing machine and method automate the selection of various operational settings for a wash cycle based in part on color composition data collected from a load of articles using a color detection sensor. In some instances, the capture of color composition data is triggered by detected weight changes sensed by a weight sensor as the load of articles is added to a wash tub, and is based in part on the detection of a stable weight in the wash tub for at least a predetermined duration. In addition, in some instances, color compensation data may be used to characterize a load of articles based in part on a color decision algorithm that assigns pixels in the color compensation data to different color categories.

A laundry washing machine and method detect the presence of outlier articles in a load of articles added to a wash tub based in part on color composition data collected from the load of articles using a color detection sensor. In some instances, color composition data may be used to generate an alert to a user to notify the user that an outlier article is potentially present in the load, and in some instances, color compensation data may be used to modify a load type selection to account for the presence of an outlier article in the load.

A laundry washing machine and method adapt the operation of a laundry washing machine for a particular installation environment using a calibration process that may be performed at installation and/or at various times thereafter to determine one or more operational settings used to control the operation of the laundry washing machine. A calibration process, for example, may determine one or more of an ambient light characteristic, a water supply pressure, and an empty wash tub weight to generate one or more operational settings used by a controller of a laundry washing machine.