Systems and methods of associating data to an item being transported by a conveying system are disclosed. The item and data associated with the item are received at a first zone of the conveying system. The data is stored in a first computer-readable storage medium associated with the first zone. The item is transported to a second zone of the conveying system, and the data stored in the first computer-readable storage medium is transferred to a second computer-readable storage medium associated with the second zone.

Systems and methods of associating data to an item being transported by a conveying system are disclosed. The item and data associated with the item are received at a first zone of the conveying system. The data is stored in a first computer-readable storage medium associated with the first zone. The item is transported to a second zone of the conveying system, and the data stored in the first computer-readable storage medium is transferred to a second computer-readable storage medium associated with the second zone.

The invention relates to a method for analysing defects in transformer laminations using an inspection system, and to an inspection system (24), wherein the inspection system comprises a detection unit (26), a conveyance device (27) and a processing device, wherein the detection unit includes an optical detecting device (31), wherein the conveyance device is used to continuously transport a plurality of transformer laminations (25) relative to the detecting device, wherein the detecting device is arranged transversely, preferably orthogonally, to a direction of movement of a transformer lamination, wherein a velocity of movement of a transformer lamination relative to the detecting device is measured via a measurement device (40) of the detection unit, wherein an image of a contour of a transformer lamination is captured with the detecting device, wherein images of a transformer lamination are assembled into a combined image of the transformer lamination via the processing device while considering the velocity of movement of the transformer lamination, wherein a shape of the transformer lamination is determined on the basis of the combined image via the processing device.

The invention relates to a method for analysing defects in transformer laminations using an inspection system, and to an inspection system (24), wherein the inspection system comprises a detection unit (26), a conveyance device (27) and a processing device, wherein the detection unit includes an optical detecting device (31), wherein the conveyance device is used to continuously transport a plurality of transformer laminations (25) relative to the detecting device, wherein the detecting device is arranged transversely, preferably orthogonally, to a direction of movement of a transformer lamination, wherein a velocity of movement of a transformer lamination relative to the detecting device is measured via a measurement device (40) of the detection unit, wherein an image of a contour of a transformer lamination is captured with the detecting device, wherein images of a transformer lamination are assembled into a combined image of the transformer lamination via the processing device while considering the velocity of movement of the transformer lamination, wherein a shape of the transformer lamination is determined on the basis of the combined image via the processing device.

An automatic identification and classification production line for mobile terminal liquid crystal display (LCD) screens includes a size and posture identification adjustment part, a model identification part, and a classification storage device. The size and posture identification adjustment part can transport a mobile terminal LCD screen, identify front and back surfaces of the mobile terminal LCD screen, size of the mobile terminal LCD screen, and orientation of the mobile terminal LCD screen, and adjust the front surface of the mobile terminal LCD screen to face up and the orientation of the mobile terminal LCD screen to be the same as the transportation direction during transportation. The model identification part transports the mobile terminal LCD screen after adjustment of the posture, and identifies model of the mobile terminal LCD screen according to the size during transportation. The classification storage device classifies and stores mobile terminal LCD screens according to different models.

Systems and methods for classifying and sorting materials in order to produce a collection of materials that are composed of a particular chemical composition in the aggregate. The system may utilize a vision system and one or more sensor systems, which may implement a machine learning system in order to identify or classify each of the materials. The sorting is then performed as a function of the classifications.

A material sorting system sorts materials utilizing multiple stages of classification and sorting, including a vision system that implements a machine learning system in order to identify or classify each of the materials, and Laser Induced Breakdown Spectroscopy to perform a subsequent classification and sorting of the remaining materials.

Systems and methods of associating data to an item being transported by a conveying system are disclosed. The item and data associated with the item are received at a first zone of the conveying system. The data is stored in a first computer-readable storage medium associated with the first zone. The item is transported to a second zone of the conveying system, and the data stored in the first computer-readable storage medium is transferred to a second computer-readable storage medium associated with the second zone.

Systems and methods of associating data to an item being transported by a conveying system are disclosed. The item and data associated with the item are received at a first zone of the conveying system. The data is stored in a first computer-readable storage medium associated with the first zone. The item is transported to a second zone of the conveying system, and the data stored in the first computer-readable storage medium is transferred to a second computer-readable storage medium associated with the second zone.

Systems and methods for classifying and sorting of plastic materials utilizing a vision system and one or more sensor systems, which may implement a machine learning system in order to identify or classify each of the materials, which may then be sorted into separate groups based on such an identification or classification.