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.

The invention relates to a method and an apparatus for easily determining the composition of plastic waste that has been pressed into bales. Here, the proportion of plastic on at least one surface of a bale is determined with the aid of an NIR spectrum and, optionally, an image from a visual system. In a preferred embodiment, the proportion of plastic of a bale is determined on a plurality of sides of a bale. This increases the accuracy of the method. By way of the method according to the invention and the apparatus according to the invention, it is consequently possible to undertake a quality control of plastic waste that has been pressed into bales, which quality control is fast, reproducible and documentable.

Modulable system for identifying and certifying garments, suitable to analyze a garment or an accessory inside a tunnel in which a common movement mechanism transports the garments. The tunnel has image capturing devices, light source and a common automatic gripping mechanism. Each garment has an identification device recognized by an identification sensor in the tunnel. The analysis is performed by software and includes: identification, by associating the garment with a wearer; entry, in which the garment is introduced inside the tunnel; acquisition of the images, in which image capturing devices take at least one pair of photographs; analysis, in which the software analyzes the images; assessment, in which the common dedicated software processes the data and indicates whether the garment meets the pre-set parameters; saving in a memory; sorting the approved garments from those that have been rejected. The assessment parameters are changeable through a special adjustment device.

Systems and methods for classifying materials utilizing 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. The machine learning system may utilize a neural network, and be previously trained to recognize and classify certain types of materials.

A system and method for dismantling components of electronic media electronic storage devices such as hard disk drives, solid state drives and hybrid hard drives. The components are dismantled in a nondestructive manner so as to be capable of reuse. First devices loosen the various components of the storage device, Second devices are provided for removing components from the storage device. A holding chassis receives the storage device, and moves the storage device for engagement with the first and second devices. A mechanism may be provided for destroying the data containing portion of the electric storage device when it is removed from the storage device. A database of information concerning past and current storage devices including their configurations, component locations and screw/fastener locations is provided along with a scanning system for retrieving information about the storage device being introduced into the system. The scanned information and information from the database is used to control and position the first and second devices and holding chassis.

A stand-alone inspection apparatus inspects documents printed on a cut sheet, and includes: a sheet feeder capable of setting the documents in a sorted state; a sorting detector that detects the sorted state of the documents; an image reader that reads an image of the documents; an inspection part that inspects the documents on the basis of the read image; and a sheet ejector that ejects the inspected documents, wherein in a case where the documents in the sorted state are set in the sheet feeder, the sheet ejector ejects the documents in a state equivalent to the sorted state detected by the sorting detector.

A food processing device comprising a conveyor, a processor configured for receiving image data representing images of the food items, and a plurality of workstations arranged along the conveyor system. The avoid time consuming processing of food items, the processor is configured to provide a processing indicator which indicates whether the food items need further processing or not and the device comprises an identification structure configured to identify food items which are selected for further processing such that they are distinguished from food items not being selected for further processing based on the processing indicator.

The present application discloses a system, a method, and a computer system for detecting objects that require special handling. The method includes (i) receiving image data from one or more cameras associated with a source conveyor configured to convey items to a pick location, (ii) determining, based at least in part on the image data, that an item requiring special handling has entered the source conveyor, and (iii) providing an output indicating that the item requiring special handling has been detected.

A high-speed method and system for inspecting and sorting a stream of unidentified mixed parts are provided. The system includes a pair of inspection stations each of which includes a vision-based robotic subsystem including a robot configured to pick up a self-supporting part and place the part on a fixtureless rotary stage. A second subsystem optically measures a profile and features of the part during part rotation. A processor is operable to compare the profile and features of the part with the profile and corresponding features of stored templates to identify a matching template. A mechanism including a part sorter directs unidentified parts and parts having an unacceptable geometric dimension or defect to a reject part area and directs identified parts having acceptable geometrical dimensions and no significant defects to good part areas.

A device is disclosed which includes a processor, a screen, and either or both of a camera and a microphone. The device may receive input related to a waste item, identify the waste item, classify a disposal type for the waste item, and provide a suggestion for disposing of the waste item.