Disclosed herein are systems and methods for analyzing one or more package. In an embodiment, disclosed is a method comprising determining, by a sensor component of a package analysis device comprising a processor that executes computer executable components stored in a memory and the memory that stores computer executable components, a presence of a package and a set of dimensions of the package and extracting, by an image capturing component of the package analysis device, a set of image data from a package label based on a determined presence of the package.

A mail processing system utilizes a conveyor to shingle or de-shingle mailpieces as they move through the processing system and utilizes belts to move the mailpieces. A first shingling conveyor moves a first mailpiece to overlap with a second mailpiece to create shingled mailpieces. A second shingling conveyor moves a first mailpiece away from a second mailpiece to de-shingle them to create singulated mailpieces. A camera takes images of the mailpieces in the conveyor and image analysis software is used to determine dimensional aspects of the mailpieces that are used to control the belt speeds to move mailpieces with respect to each other. A mail processing system may include a mail processing station that scans addresses, applies postage and/or weighs the mailpieces. Mail may be de-shingled prior to being weighed and then re-shingled for subsequent processing, or mail may be shingled prior to passing through a scale if weighing is not necessary.

A camera (10) is provided for the detection of objects (48) moved through a detection zone that has an image sensor (18) for recording image data, a reception optics (16) having an adjustable diaphragm (17), and a control and evaluation unit (38) to read the image data and to set the diaphragm (17), In this respect, the control and evaluation unit (38) is furthermore configured to set the diaphragm (17) per object (48) such that the object (48) is recorded in a depth of field range.

An apparatus is disclosed which is configured to perform or control obtaining or causing obtaining at least one image of at least a part of an object; obtaining or causing obtaining information representative of a distance between at least one feature of the object present in the image and at least one reference feature of the object present in the image; generating or causing generating a string of characters based on the obtained information, the string of characters comprising at least a first portion representative of the distance between the at least one feature of the object present in the image and the at least one reference feature of the object present in the image; associating or causing associating information representing the string of characters with process information of the object.

In one aspect, a computerized method useful for dynamic location-based virtualized mail services includes the step of determining an identity of a user receiving a physical mail. The method includes the step of determining a location of the user. The method includes the step of determining a set of delivery locations within a specified distance of the user's current location. The method includes the step of communicating, via an electronic message, the delivery location to the user's mobile device.

The present disclosure relates to a system and method for extracting a region of interest from a captured image of an item. The system may include a reader configured to capture an image of an item having a computer readable code positioned thereon. The system may also include a processor in data communication with the reader and configured to generate captured image data, the captured data comprising binary image data and identify a first pixel region representing the computer readable code from the binarized image data. The processor may be further configured to remove a second pixel region other than the first pixel region from the binarized image data and store or process only first binarized image data representing the first pixel region.

The present disclosure relates to a system and method for extracting a region of interest from a captured image of an item. The system may include a reader configured to capture an image of an item having a computer readable code positioned thereon. The system may also include a processor in data communication with the reader and configured to generate captured image data, the captured data comprising binary image data and identify a first pixel region representing the computer readable code from the binarized image data. The processor may be further configured to remove a second pixel region other than the first pixel region from the binarized image data and store or process only first binarized image data representing the first pixel region.

The method of matching digital images of the same article in a data processor unit comprises the steps of: transforming each digital image of an article into a local divergence topographic map of the luminance gradient vector field; detecting singularities or extrema of local divergence in the luminance gradient vector field, such singularities corresponding to points of interest in said digital image; and, for each detected point of interest, encoding the values for the singularity of the gradient field that are located on a plurality of concentric rings centered on the point of interest so as to derive a digital data vector (210); and transforming said vector into a digital hash key (220) by means of a family of hash functions of the cosine Locality-Sensitive Hashing (LSH) type.

The method of matching digital images of the same article in a data processor unit comprises the steps of: transforming each digital image of an article into a local divergence topographic map of the luminance gradient vector field; detecting singularities or extrema of local divergence in the luminance gradient vector field, such singularities corresponding to points of interest in said digital image; and, for each detected point of interest, encoding the values for the singularity of the gradient field that are located on a plurality of concentric rings centered on the point of interest so as to derive a digital data vector (210); and transforming said vector into a digital hash key (220) by means of a family of hash functions of the cosine Locality-Sensitive Hashing (LSH) type.

An apparatus is disclosed which is configured to perform or control obtaining or causing obtaining at least one image of at least a part of an object; obtaining or causing obtaining information representative of a distance between at least one feature of the object present in the image and at least one reference feature of the object present in the image; generating or causing generating a string of characters based on the obtained information, the string of characters comprising at least a first portion representative of the distance between the at least one feature of the object present in the image and the at least one reference feature of the object present in the image; associating or causing associating information representing the string of characters with process information of the object.