Abstract:
An inventory system can include radio frequency identification (RFID) tags and RFID tuners that can be brought into interacting proximity with one another to provide input or other information about the location or other condition of movable elements within the inventory system. For example, interactions of RFID tags and RFID tuners at different locations within an inventory system may be utilized to associate a container or other movable object with particular receiving surfaces at particular points in time to facilitate identification of the whereabouts of the container or other movable object.
Abstract:
Disclosed are various embodiments for coordination of autonomous vehicles in a roadway. A roadway management system can generate lane configurations for a roadway or a portion of the roadway. The roadway management system can determine the direction of travel for lanes in a roadway and direct autonomous automobiles to enter the roadway in a particular lane.
Abstract:
An inventory system can include radio frequency identification (RFID) tags and RFID tuners that can be brought into interacting proximity with one another to provide input or other information about the location or other condition of movable elements within the inventory system. For example, a closed or at least partially open state of a drawer can be determined based on signals from an RFID tag when the RFID tag and a corresponding RFID tuner are mounted on opposing faces of the drawer and a compartment that receives the drawer.
Abstract:
Disclosed are various embodiments for obtaining environmental data and operational data from autonomous vehicles in a roadway. A vehicle state of the autonomous vehicles can be updated using data that is obtained from nearby vehicles or other vehicles that are on the roadway. The roadway management system can also generate updates to the vehicle state based upon data obtained from sources external to autonomous vehicles.
Abstract:
This disclosure describes a device and system for verifying the content of items in a bin of an inventory holder within a materials handling facility. In some implementations, a bin content verification apparatus may be positioned within the materials handling facility and configured to capture images of inventory holders that include bins as the inventory holders are moved past the apparatus by mobile drive units. The images may be processed to determine whether the content included in the bins has changed since the last time images of the bins were captured. A determination may also be made as to whether a change to the bin content was expected and, if so, if the determined change corresponds with the expected change.
Abstract:
A system for acquiring images includes a photographing machine. The photographing machine includes a base, a carrier coupled to the base, a camera coupled to the carrier, a camera positioning system, and a background panel coupled to the carrier. The camera can take photographs of an object when the object is in a target zone. The camera positioning system moves the carrier to position the camera and to point the camera at the target zone. When the carrier is moved to position the camera, at least a portion of the background panel moves such that at least a portion of the background panel maintains a position opposite the camera relative to the target zone.
Abstract:
This disclosure describes a device and system for verifying the content of items in a bin within a materials handling facility. In some implementations, a bin content verification apparatus may pass by one or more bins and capture images of those bins. The images may be processed to determine whether the content included in the bins has changed since the last time images of the bins were captured. A determination may also be made as to whether a change to the bin content was expected and, if so, if the determined change corresponds with the expected change.
Abstract:
Disclosed are various embodiments for non-mechanical assistance for autonomous vehicles. An unknown environmental condition may be detected that affects a navigation of the autonomous vehicle. A passenger and/or other source may be presented an inquiry requesting identification of the unknown environmental condition. A response to the inquiry may be used as an input by the vehicle control system in determining appropriate navigation of the autonomous vehicle.
Abstract:
A suitable imaging device for capturing images of an object or an area of interest may be automatically selected based on information regarding the locations and/or other operational properties of a plurality of imaging devices, and a location of the object or the area of interest. One or more geometric models of the fields of view of the imaging devices may be generated, and whether the object or the area of interest falls within one or more of the fields of view may be determined using such models. Where multiple imaging devices may include the object or the area of interest, within a field of view, the imaging device having the most suitable image, e.g., the largest or highest resolution image of the object or the area of interest, may be selected.
Abstract:
Imaging data regarding an interior portion of a storage vessel may be obtained from an imaging device (e.g., a digital camera or depth sensor) and interpreted in order to identify an available volume within the storage vessel. Where the imaging data includes an image of an interior of the storage vessel, an area of one or more contiguous spaces of a rear face of the storage vessel may be identified from the image and multiplied by a depth of the storage vessel in order to estimate the available volume. Where the imaging data includes a depth profile of the interior, the depth profile may be processed in order to estimate the available volume. Once an available volume has been estimated, the capacity of the available volume to accommodate one or more additional items may be determined, and information regarding the capacity may be provided to a user.