Automatic visual fact extraction

摘要

By evaluating readily available facts regarding an object, an item may be identified, or one or more characteristics of the item may be determined, and a destination for the item may be selected. An extraction module including a depth sensor may capture depth imaging data regarding the item, which may then be processed in order to estimate one or more dimensions of the item, and an appropriate container or storage area for the item may be selected. Additionally, the extraction module may further include a scale for determining a mass of the item, or digital cameras for capturing one or more images of the item. The images of the item may be analyzed in order to interpret any markings, labels or identifiers disposed on the item, and a destination for the item may be selected based on the mass, the analyzed images or the depth imaging data.

主权项

1. A visual fact extraction system comprising:
an extraction module including a depth sensor mounted to a frame, wherein the extraction module defines an imaging region adapted to receive an object therein, and wherein the depth sensor is configured to capture depth imaging data from the imaging region; and a computing device in communication with the depth sensor, wherein the computing device is configured to at least:
capture baseline depth imaging data from the imaging region using the depth sensor, wherein the baseline depth imaging data comprises information regarding distances between the depth sensor and the imaging region without an object therein;receive an object at the imaging region;capture depth imaging data from the imaging region using the depth sensor, wherein the depth imaging data comprises information regarding distances between the depth sensor and the imaging region with the object therein;generate net depth imaging data based at least in part on the baseline depth imaging data and the depth imaging data, wherein the net depth imaging data comprises a plurality of pixels corresponding to the imaging region;estimate a first dimension of the object based at least in part on the net depth imaging data;determine a two-dimensional size of at least one of the plurality of pixels based at least in part on the first dimension;identify a portion of the plurality of pixels corresponding to the object;estimate a second dimension of the object based at least in part on the two-dimensional size and the portion of the pixels;estimate a third dimension of the object based at least in part on the two-dimensional size and the portion of the pixels; andselect a container for the object based at least in part on the first dimension, the second dimension and the third dimension.