A projection instruction device includes a processor and a memory that specifies each of a plurality of packages and store package specifying information including information related to a destination of each of the packages in a factory. The projection instruction device generates a first projection image for instructing conveyance of the received package to a first destination that is a storage place based on the package specifying information for each package, instructs the image projection device to project the first projection image, in a case that the package specifying information for each package stored in the memory indicates a second destination, generates a second projection image for instructing conveyance of the package to the second destination, and instructs the image projection device to project the second projection image.

Computer-implemented systems and methods for optimizing sorting and loading of packages are disclosed. An exemplary system includes a memory storing instructions and may include at least one processor configured to execute the instructions. The system may perform operations including receiving data comprising a plurality of package identifiers associated with a plurality of packages. The operations may include determining a plurality of block areas associated with delivery locations for the plurality of packages. The operations may further include determining a delivery route by determining a first set of routes, determining optimal combinations of the inputs for each set of routes and determining a shortest route associated with the optimal combinations. The operations may include determining an order in which to load each of the packages into a delivery vehicle. The operations may further include generating instructions for causing a device to display a visual representation of the loading order.

Embodiments described herein relate to hardware and software for waste item detection and recognition, along with an education or feedback system. Embodiments described herein use artificial intelligence, which embodies machine learning and computer vision, to detect waste items and generate feedback to nudge the user to dispose the waste items into appropriate receptacles while generating smart operational insights of a designated premise.

Systems, methods, and devices for designating a location for a delivery item that is being sorted by an operator. The operator scans the delivery address of the item using a scanner having a particular attribute, such as being painted red. Using delivery address along with an identifier for the scanner that was used, the system determines a sort output location for the item, identifies a designator (e.g. a specific color, such as red) that corresponds to the scanner, and identifies an indicator device (e.g., a multicolor LED device) that corresponds to the sort output location. The system then commands the indicator device to present or display the designator. For example, the indicator device may be commanded to illuminate a LED to give off red light. The operator of the red scanner then places the item at the location corresponding to the red light designator.

Systems, methods, and devices for designating a location for a delivery item that is being sorted by an operator. The operator scans the delivery address of the item using a particular scanner. Using the delivery address and other information from the scanner that was used, the system determines a sort output location for the item and identifies an indicator device (e.g., an LED device) that corresponds to the sort output location. The system then commands the indicator device to present or display a designator. For example, the indicator device may be commanded to illuminate a light, such as an LED. The operator of the scanner then places the item at the location corresponding to the illuminated light designator.

A semi-autonomous processing system for processing objects is disclosed. The semi-autonomous processing system includes an input conveyance system for moving objects to a presentation area, a perception system including perception units that are directed toward a detection area for providing perception data regarding an object in the presentation area, at least two transport systems, each of which is adapted to receive the object and move the object in either of reciprocal directions, and a manual workstation area between the perception area the at least two transport systems.

A method and apparatus are provided for sorting or retrieving items to/from a plurality of destinations areas. The items are loaded onto one of a plurality of independently controlled delivery vehicles. The delivery vehicles follow a path to/from the destination areas, which are positioned along the path. Once at the appropriate destination area, an item is transferred between the delivery vehicle and the destination area.

Embodiments described herein relate to hardware and software for waste item detection and recognition, along with an education or feedback system. Embodiments described herein use artificial intelligence, which embodies machine learning and computer vision, to detect waste items and generate feedback to nudge the user to dispose the waste items into appropriate receptacles while generating smart operational insights of a designated premise.

An apparatus that facilitates the manual sorting of objects is disclosed. The apparatus includes a display surface having a surface that can be selectively illuminated and that is adapted for receiving the objects. An identification reader reads identification information stored on the objects. A controller causes an area on the display surface corresponding to one of the objects to be illuminated based on the identification information and indicates a location to which the illuminated object is to be moved. In one aspect of the invention, the display surface includes an area adapted for positioning a receiver for the objects. The display surface provides an indication of a position in the receiver at which the one of the objects is to be placed.

A semi-autonomous processing system for processing objects is disclosed. The semi-autonomous processing system includes an input conveyance system for moving objects to a presentation area, a perception system including perception units that are directed toward a detection area for providing perception data regarding an object in the presentation area, at least two transport systems, each of which is adapted to receive the object and move the object in either of reciprocal directions, and a manual workstation area between the perception area the at least two transport systems.