Abstract: A method, device and computer program product that monitor situations. The method includes: processing information indicative of an occurrence of events to detect, in response to a current rule set, an occurrence of at least one situation that belongs to a situation set; wherein at least one rule sub-set out of the rule set defines at least one relationship between events that should occur within a lifespan; receiving a request to update a first rule; updating the first rule to provide a first updated rule while continuing to detect an occurrence of situations not affected by the update of the first rule.

Abstract: A method, device and computer program product that monitor situations. The method includes: processing information indicative of an occurrence of events to detect, in response to a current rule set, an occurrence of at least one situation that belongs to a situation set; wherein at least one rule sub-set out of the rule set defines at least one relationship between events that should occur within a lifespan; receiving a request to update a first rule; updating the first rule to provide a first updated rule while continuing to detect an occurrence of situations not affected by the update of the first rule.

Abstract: Situation detection systems and methods are provided, in which the capabilities of standard event stores and relational systems are enhanced by augmented event-oriented algebraic operators. Rules involving the event-oriented operators are combined with conventional relational algebraic techniques, and applied to an event database in order to detect more complex patterns, indicative of composite events or situations.

Abstract: The present invention is directed to a system and method for processing data in which inputs of a plurality of records including respective entries in a first field and in a second field are received. At least some of the records are processed so as to find a relation between the entries in the first and second fields in the at least some of the records. One of the records comprising first and second entries in the first and second fields respectively is selected. Thereafter, the first and second entries are compared to the relation in order to verify the first and second entries.

Abstract: The present invention is directed to a system and method for processing data in which inputs of a plurality of records including respective entries in a first field and in a second field are received. At least some of the records are processed so as to find a relation between the entries in the first and second fields in the at least some of the records. One of the records comprising first and second entries in the first and second fields respectively is selected. Thereafter, the first and second entries are compared to the relation in order to verify the first and second entries.

Abstract: The invention locates address indicia on digitized images of mail pieces by dividing the mail piece images into blocks; identifying rows of blocks that are adjacent along a first direction and that have similar defined image features by comparing such image features within adjacent blocks; assembling at least some of the identified rows of blocks that are adjacent along a second direction perpendicular to the first direction into address block candidate regions; and selecting the address block by scoring the various address block candidate regions on the basis of defined criteria. The criteria initially score the candidate regions based on closeness to the center of the rectangle and then reduce this initial score if an edge of the region is close to an edge of the image, the region contains a small or very high number of text rows, or the aspect ratio between the width and height of the region is high.

Abstract: Image processing apparatus is disclosed for locating labels on images of parcels comprising: means to generate and store in digital form an image of the parcel comprising pixels arranged in rows and columns; classification logic for classifying each pixel as either a label pixel, a background pixel or neither, based on the pixel color; segmentation logic for reclassifying each pixel as either label or background based on its original classification and the classification of pixels in its neighborhood; and identification logic for identifying the boundaries of regions in which all pixels are classified as label pixels.