Abstract: A retail store self-checkout area may include a scanner configured to enable a shopper to scan items being purchased. A bagging area may be positioned at the scanner. A top-down facing camera positioned and oriented to image a shopping cart or basket at the self-checkout area and to generate image signals of the shopping cart or basket. A projector may be configured to project dynamically alterable illumination signals onto a surface visible to the shopper when at the self-checkout area to provide visual guidance information to the shopper. The projector may be a smart projector, and may be configured to be a top-down facing projector to illuminate a floor at the self-checkout area. A system controller may be configured to drive the projector (e.g., smart projector) and to process images captured by camera to identify errors or fraudulent behavior during a self-checkout process.

Abstract: A system and method of detecting an image of a template object in a captured image may include comparing, by a processor, an image model of an imaged template object to multiple locations, rotations, and scales in the captured image. The image model may be defined by multiple model base point sets derived from contours of the imaged template object, where each model base point set inclusive of a plurality of model base points that are positioned at corresponding locations associated with distinctive features of the imaged template object. Each corresponding model base point of the model base point sets may (i) be associated with respective layers and (ii) have an associated gradient vector. A determination may be made as to whether and where the image of the object described by the image model is located in the captured image.

Abstract: A system and method of detecting an image of a template object in a captured image may include comparing, by a processor, an image model of an imaged template object to multiple locations, rotations, and scales in the captured image. The image model may be defined by multiple model base point sets derived from contours of the imaged template object, where each model base point set inclusive of a plurality of model base points that are positioned at corresponding locations associated with distinctive features of the imaged template object. Each corresponding model base point of the model base point sets may (i) be associated with respective layers and (ii) have an associated gradient vector. A determination may be made as to whether and where the image of the object described by the image model is located in the captured image.