Abstract: Novel modular smart management devices in the form of drop safes include the modular components of a chassis, door and technology cabinet. The drop safes enable retailers to make cash deposits quickly and safely within or near their own facilities. Various technology, including RFID readers, RFID tags, and other equipment allow the drop safes to identify each deposited bag. Employees utilize specialized apps on their mobile devices to facilitate deposit creation and other tasks. Novel methodologies for accessing the drop safes for emptying employ single-use, time-expiration type authorization codes along with other security measures to minimize risk and to provide other benefits. Novel structures along with methodologies for replacing, on-site, modular components with auto-detection of functionality during initialization and re-initialization enables for efficient replacement and upgrading of components, including the upgrading of safes to provide additional functionality.

Abstract: A method for rectifying misalignment in a stereoscopic display system (140) comprises: providing a pair of input images to an image processor (120); creating an image source displacement map for the pair of input images; obtaining a display displacement map (150); and applying the image source displacement map and the display displacement map to the pair of input images to create a rectified stereoscopic image pair.

Abstract: A digital image processing method detects facial features in a digital image. This method includes the steps of detecting iris pixels in the image, clustering the iris pixels, and selecting at least one of the following schemes to identify eye positions: applying geometric reasoning to detect eye positions using the iris pixel clusters; applying a summation of squared difference method using the iris pixel clusters to detect eye positions; and applying a summation of squared difference method to detect eye positions from the pixels in the image. The method applied to identify eye positions is selected on the basis of the number of iris pixel clusters, and the facial features are located using the identified eye positions.

Abstract: In a method, computer program, and system a dental target, such as a tooth, is located within a digital dental image. A reference object that was placed in the patient's mouth is segmented within a digital dental image to provide a segmented reference. The reference object has a predetermined size dimension. A window is segmented in the dental image at the position of the dental target. The segmented reference defines the relative size and location of the window, prior to the segmenting of the window.