Abstract: Radiographic imaging, or X-ray imaging, may be used to identify information regarding the contents of a container or other sealed object without having to open the container or the sealed object. One or more visual analyses of radiographic images may identify items within a container, or a condition of such items, as well as the portions or amounts of the contents of the container that correspond to air or dunnage. Additionally, a radiographic image may be projected onto an external surface of a container, or rendered within an augmented reality device or wearable computer device, thereby providing information regarding the contents of the container to a worker or other personnel within a vicinity of the container.

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: Visual task feedback for workstations in a materials handling facility may be implemented. Image data of a workstation surface may be obtained from image sensors. The image data may be evaluated with regard to the performance of an item-handling task at the workstation. The evaluation of the image data may identify items located on the workstation surface, determine a current state of the item-handling task, or recognize an agent gesture at the workstation. Based, at least in part on the evaluation, one or more visual task cues may be selected to project onto the workstation surface. The projection of the selected visual task cues onto the workstation surface may then be directed.

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: Digital media files that are captured using one or more imaging devices and stored in one or more data stores may be compressed, modified or disposed of based on business value scores associated with such files. The business value scores may be generated on any available information that may be known or determined regarding the contents of such files, including records of activity occurring within a vicinity of the imaging devices, or data obtained through an analysis of such files. Moreover, the business value scores may be altered on any basis, including according to one or more functions, and the compression, modification or disposal of such files may be altered accordingly.

Abstract: Visual task feedback for workstations in a materials handling facility may be implemented. Image data of a workstation surface may be obtained from image sensors. The image data may be evaluated with regard to the performance of an item-handling task at the workstation. The evaluation of the image data may identify items located on the workstation surface, determine a current state of the item-handling task, or recognize an agent gesture at the workstation. Based, at least in part on the evaluation, one or more visual task cues may be selected to project onto the workstation surface. The projection of the selected visual task cues onto the workstation surface may then be directed.

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: 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.

Abstract: Visual task feedback for workstations in a materials handling facility may be implemented. Image data of a workstation surface may be obtained from image sensors. The image data may be evaluated with regard to the performance of an item-handling task at the workstation. The evaluation of the image data may identify items located on the workstation surface, determine a current state of the item-handling task, or recognize an agent gesture at the workstation. Based, at least in part on the evaluation, one or more visual task cues may be selected to project onto the workstation surface. The projection of the selected visual task cues onto the workstation surface may then be directed.

Abstract: Described are techniques for storing and retrieving items using a robotic manipulator. Images depicting a human interacting with an item, sensor data from sensors instrumenting the human or item, data regarding physical characteristics of the item, and constraint data relating to the robotic manipulator may be used to generate one or more configurations for the robotic manipulator. Points of contact and force vectors of the configurations may correspond to the points of contact and force vectors determined from the images and sensor data.

Abstract: An inventory system has inventory pods that are freely and independently moved about a facility and include inventory holders having dynamically reconfigurable storage bins. For various operating scenarios, the components of the inventory system are directed to dynamically reconfigure the storage bins, thereby maintaining efficient product density amongst the inventory holders and permitting the use of automated equipment to manipulate inventory items stored in the inventory pods. One or more inventory pods may be used with lifting modules and picking modules to dynamically reconfigure the storage bins as inventory items are added to and removed from the inventory holders.

Abstract: Visual task feedback for workstations in a materials handling facility may be implemented. Image data of a workstation surface may be obtained from image sensors. The image data may be evaluated with regard to the performance of an item-handling task at the workstation. The evaluation of the image data may identify items located on the workstation surface, determine a current state of the item-handling task, or recognize an agent gesture at the workstation. Based, at least in part on the evaluation, one or more visual task cues may be selected to project onto the workstation surface. The projection of the selected visual task cues onto the workstation surface may then be directed.

Abstract: An inventory system has inventory pods that are freely and independently moved about a facility and include inventory holders having dynamically reconfigurable storage bins. For various operating scenarios, the components of the inventory system are directed to dynamically reconfigure the storage bins, thereby maintaining efficient product density amongst the inventory holders and permitting the use of automated equipment to manipulate inventory items stored in the inventory pods. One or more inventory pods may be used with lifting modules and picking modules to dynamically reconfigure the storage bins as inventory items are added to and removed from the inventory holders.

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: Some examples include using an inventory tracking device to track the addition of inventory items to an inventory holder of an inventory system or removal of inventory items from the inventory holder. The inventory holder may include one or more trays to store one or more inventory items, with each tray including one or more bins that may be defined by dividers on the tray. The inventory tracking device may use inventory holder configuration data that identifies locations of the bins to determine that the inventory item was added to or removed from a particular bin of the inventory holder.

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.