Abstract: A mobile device is capable of being carried by a user and directed at a target object. The mobile device may implement a system to dimension the target object. The system, by way of the mobile device, may image the target object to and receive a 3D image stream, including one or more frames. Each frame may include a plurality of points, where each point has an associated depth value. Based on the depth value of the plurality of points, the system, by way of the mobile device, may determine one or more dimensions of the target object.

Abstract: A wearable augmented reality (AR) device (e.g., virtual reality (VR), mixed reality (MR) device is disclosed. The wearable device communicates with a system for volume dimensioning via two-dimensional (2D)/three-dimensional (3D) sensor fusion. The AR device display to the user a two-dimensional (2D) image stream of a field of view (FOV) including target objects and 3D imaging data of the FOV including point clouds of each target object within the FOV. Target objects are identified by correlating the 2D and 3D image streams and generating a holographic model of the target object overlaid on the video stream, with adjustable surface, edge, and vertex guides. Precise dimensions and unique object identifiers of the target object are determined and decoded and displayed to the user via the wearable device; the user may manipulate or adjust the display via gestures or commands detectable by the wearable device.

Abstract: A system for volume dimensioning via two-dimensional (2D)/three-dimensional (3D) sensor fusion, based in a tablet, phablet, or like mobile device, is disclosed. The mobile device includes a 2D imager for capturing an image stream of its field of view (FOV), the FOV including target objects. The mobile device includes a 3D imager for collecting 3D imaging data of the FOV including point clouds of each target object within the FOV. Processors of the mobile device positively identify a particular target object by correlating the 2D and 3D image streams and generating a holographic model of the target object overlaid on the video stream, with adjustable surface, edge, and vertex guides. The processors determine the precise dimensions of the target object by measuring the holographic model, and detect and decode object identifiers (2D or 3D) on the surface of the target object to acquire and supplement object data.

Abstract: A system and related methods for volume dimensioning may be implemented by a smartphone, pad, tablet, or similar mobile computing device configured with a three-dimensional imaging system. The system may recognize the edges and corners of an object and infer its dimensions, from which a volume and dimensional weight can be calculated. The system may utilize the determined dimensions to allocate shipping resources to most efficiently and safely transport a shipment through a supply chain, assess damage to an object, assess the compliance of carry-on baggage to size requirements, and quickly assess the stocking of a retailer's and a competitor's products.