Described are systems, methods, and apparatus for managing the movement of inventory items within a materials handling facility using rollable containers and a gravity feed conveyance system. Inventory items are placed in the rollable containers and are routed to different locations within the materials handling facility along the gravity feed conveyance system, through use of gravitational forces that cause the rollable containers to roll. By using gravity to route inventory items within the materials handling facility, the energy and power requirements for the materials handling facility are reduced, which reduces overhead costs and which is better for the environment.

Systems and methods for classifying and sorting of dark colored and/or black-colored plastic materials utilizing a vision system or one or more sensor systems implemented with one or more medium wavelength infrared cameras whereby the captured image data is process within 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.

Sorting systems and methods for large quantities of items in industrial processes are described. The systems, devices and methods are for receiving, sorting and removing items dynamically. A first group of items, such as letters or other mail pieces, are injected by a belt into a pocket to a form a first stack, and a divider is extended near the first stack. The divider allows for a second group of items to either be injected to form a second stack behind the divider, or to be diverted and injected into another pocket. The first stack can be removed while the second group is being injected.

Sorting systems and methods for large quantities of items in industrial processes are described. The systems, devices and methods are for receiving, sorting and removing items dynamically. A first group of items, such as letters or other mail pieces, are injected by a belt into a pocket to a form a first stack, and a divider is extended near the first stack. The divider allows for a second group of items to either be injected to form a second stack behind the divider, or to be diverted and injected into another pocket. The first stack can be removed while the second group is being injected.

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.

A material sorting system sorts materials utilizing an x-ray fluorescence and/or a vision system that implements a machine learning system in order to identify or classify each of the materials, which are then sorted into separate groups based on such an identification or classification determining that the materials are composed of either wrought aluminum, extruded aluminum, or cast aluminum. The system is capable of sorting between cast aluminum alloys and also between wrought aluminum alloys.

A checkout terminal, and method of using, having a goods receiving area for receiving goods, a goods recording area for recording the data of the goods, and a goods dispensing area for dispensing the goods. The checkout terminal further has a control unit configured for controlling the operation of the checkout terminal. The goods dispensing area has a first packing trough which is configured for temporarily collecting the goods. A goods transport means is configured for transporting the goods along a direction of transport form the goods receiving area via the goods recording area toward the first packing trough of the goods dispensing area. The goods recording area having a goods recording device having a scanner, which is configured for scanning a respective scannable identifier of the goods, located within a goods recording volume of the goods recording area and for providing a scanning result signal.

A material sorting system sorts materials utilizing an x-ray fluorescence and/or a vision system that implements a machine learning system in order to identify or classify each of the materials, which are then sorted into separate groups based on such an identification or classification determining that the materials are composed of either wrought aluminum, extruded aluminum, or cast aluminum. The system is capable of sorting between cast aluminum alloys and also between wrought aluminum alloys.

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.

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.