A load scanning apparatus for taking physical measurements from a load. The load scanning apparatus has a scanning robot including a plurality of sensors arranged in an array spanning substantially across at least one load dimension in a first direction. The array of sensors moves together in a second direction, in a scanning plane. The plurality of sensors are configured to take images of the load from the scanning plane, and are configured to capture distance information about the distance of said load from the scanning plane.

In an embodiment an apparatus includes an image acquisition device with at least one camera, the image acquisition device configured to acquire a multi-line section of a recording region and an evaluation device configured to process at least two sub-areas of the multi-line section as one strip image each and compare at least two strip images of a test pattern to each other in a validation mode to check whether deviations of the strip images are detected.

In an embodiment an apparatus includes an image acquisition device with at least one camera, the image acquisition device configured to acquire a multi-line section of a recording region and an evaluation device configured to process at least two sub-areas of the multi-line section as one strip image each and compare at least two strip images of a test pattern to each other in a validation mode to check whether deviations of the strip images are detected.

The current invention concerns determining a fiber composition of a textile sample. The sample is irradiated with near infrared (NIR) light. Reflected NIR light from the sample is captured. A vector of spectral values is determined based on the captured light. The vector is input to a deep neural network (DNN). The DNN comprises a sequence of layers of nodes, in particular an input layer, at least two intermediate layers, and an output layer. The nodes of successive layers of the sequence are interconnected via weighted edges. The DNN outputs for each of a plurality of fiber material types a numerical relative composition amount.

The present disclosure provides embodiments of methods, systems, and apparatuses for detecting wet spots on machined surfaces of wood workpieces. Images of laser spots on a workpiece may be processed to determine area and aspect ratio values of the laser spots. Wet spots may be detected on the workpiece based at least on the area and aspect ratio values, and optionally based in part on color image data. A facility may use wet spot detection in grade determination and/or to classify wood pieces as ‘wet’ or ‘dry’ for the determination of appropriate drying conditions.

A method and system for production of layered wood products employs local and independently operating robotic panel assembly cells including one or more veneer handling robots, one or more core handling robots, and one or more glue application robots to produce stacks of layered wood product panels locally near the pressing stations. Consequently, the stacks of layered wood product panels are independently built at, or near, the location of the pressing stations. This eliminates the need for traditional panel conveyors, traditional layered wood product panel assembly layup lines, and stack press delivery lines. This, in turn, eliminates thousands of moving parts and dozens of people from the layered wood product production process.

The invention relates to an apparatus for inspecting printed images for a printing or finishing machine with continuously moving printed products with an image detection device (3) with at least one camera (7), which is set up to detect a multi-line section of a recording region (5). In accordance with the invention, the device is characterized by an evaluation device (8) which is set up to process at least two partial areas of the multi-line section as one strip image each, and has a validation mode in which at least two strip images of a test image are compared with each other to check whether deviations of the strip images are detected. In a method according to the invention for validating the inspection algorithms, a stencil (20; 40) is placed in a recording region (5) of the device (1) for print image inspection, at least two multi-line strip images are acquired and compared with each other to determine whether deviations between a first and a second pattern are detected.

The invention relates to an apparatus for inspecting printed images for a printing or finishing machine with continuously moving printed products with an image detection device (3) with at least one camera (7), which is set up to detect a multi-line section of a recording region (5). In accordance with the invention, the device is characterized by an evaluation device (8) which is set up to process at least two partial areas of the multi-line section as one strip image each, and has a validation mode in which at least two strip images of a test image are compared with each other to check whether deviations of the strip images are detected. In a method according to the invention for validating the inspection algorithms, a stencil (20; 40) is placed in a recording region (5) of the device (1) for print image inspection, at least two multi-line strip images are acquired and compared with each other to determine whether deviations between a first and a second pattern are detected.

A method of and device for testing and a scale for evaluating a textile for use in an article of clothing constructed of the textile. The method comprises positioning a textile sample within a path of a generated beam of light and measuring the amount of photons absorbed when the light is transmitted through the sample. The amount of light transmitted through the sample is compared to a standardized scale for evaluating the amount of coverage provided by the sample for the textiles fitness for use in the article of clothing. The articles of clothing may be articles of swimwear, athletic wear, or athleisure wear.

An apparatus for treating a mat of mineral fibers moving along a plane and a run direction, by detection and elimination of localized defects, includes a first transport member, a second transport member positioned after the first transport member in the run direction and separated therefrom in the run direction by a treatment zone, a device for detecting localized defects in the mat of mineral fibers, upstream of the treatment zone in the run direction, and in the treatment zone, a device for eliminating defects suitable for eliminating, in-line, a defect detected by the detection device by eliminating the portion of mat containing it.