A system is provided for the identification and separation of heterogeneous material, the system comprising: a hyperspectral identification system for capturing spectra of material; a computer receiving and analyzing data from the hyperspectral identification system and selecting desired materials from the heterogeneous materials; and an ejection system, whereby the desired materials are ejected from the system.

A system is provided for the identification and separation of heterogeneous material, the system comprising: a hyperspectral identification system for capturing spectra of material; a computer receiving and analyzing data from the hyperspectral identification system and selecting desired materials from the heterogeneous materials; and an ejection system, whereby the desired materials are ejected from the system.

An apparatus for classifying materials utilizing a vision system, which may implement an artificial intelligence system in order to identify or classify each of the materials, which may then be separated from a heap in a scrap yard into separate groups, such as other heaps, based on such an identification or classification. The artificial intelligence system may utilize a neural network, and be previously trained to recognize and classify certain types of materials.

An apparatus for classifying materials utilizing a vision system, which may implement an artificial intelligence system in order to identify or classify each of the materials, which may then be separated from a heap in a scrap yard into separate groups, such as other heaps, based on such an identification or classification. The artificial intelligence system may utilize a neural network, and be previously trained to recognize and classify certain types of materials.

A machine vision system for automatically identifying and inspecting objects is disclosed, including composable vision-based recognition modules and a decision algorithm to perform the final determination on object type and quality. This vision system has been used to develop a Projectile Identification System and an Automated Tactical Ammunition Classification System. The technology can be used to create numerous other inspection and automated identification systems.

A machine vision system for automatically identifying and inspecting objects is disclosed, including composable vision-based recognition modules and a decision algorithm to perform the final determination on object type and quality. This vision system has been used to develop a Projectile Identification System and an Automated Tactical Ammunition Classification System. The technology can be used to create numerous other inspection and automated identification systems.

Method for detecting containers which have fallen over and/or are damaged in a container mass flow, wherein the containers in the container mass flow are transported vertically on a transporter, wherein the container mass flow is captured as an image data stream using at least one camera, and wherein the image data stream is evaluated by an image processing unit, wherein the image data stream is evaluated by the image processing unit using a deep neural network in order to detect and locate the containers which have fallen over and/or are damaged.

A die sorter tool may include a first conveyor, and a first lane to receive, from one or more load ports and via the first conveyor, a carrier with a set of dies. The die sorter tool may include a die flip module to receive the carrier from the first lane, manipulate one or more dies of the set of dies by changing orientations of the one or more dies, and return the one or more dies to the carrier after manipulating the one or more dies and without changing positions of the one or more dies within the carrier. The die sorter tool may include a second conveyor, and a second lane to receive, via the second conveyor, the carrier from the die flip module, and provide, via the first conveyor, the carrier to the one or more load ports.

In some embodiments, the present invention provides an exemplary system that includes a mechanism configured to create by a digital mailing services provider, DMSP, a recipient-specific handling information indicia and provide said recipient-specific handling information indicia to a recipient; a mechanism configured to allow the recipient to provide said handling information indicia in delivery address C/O line, on a mail item, thereby indicating to said service provider their desired handling route for the mail item so that a paper mail recipient to receive improved transmission of correspondence from said service provider via both paper and electronic channels solely via including said handling information indicia contained in the delivery address C/O line of the recipient's delivery address on the mail item.

A method and apparatus are provided for sorting items to form groups at respective sort destinations. A scanning station evaluates one or more characteristics of each item fed into the apparatus. The items are loaded onto one of a plurality of independently controlled delivery vehicles. The delivery vehicles are individually driven to sort destinations. Once at the appropriate sort destination, the delivery vehicle ejects the item to the sort destination and returns to receive another item to be delivered. A re-induction conveyor may be provided for receiving select items from the vehicles and conveying the items back to the input station for re-processing. Additionally, a controller is provided to control the movement of the vehicles based on a characteristic each item being delivered by each vehicle. When an item to be manually sorted is encountered, a visual alert aligned with a selected destination is activated until manual transfer is confirmed.