Siemens Industry, Inc.

Siemens Logistics LLC

Korber Supply Chain LLC

John M Zatopek

Abdul Hamid Salemizadeh

A system for removing unstable articles from an automated processing stream includes an automated processing stream with a plurality of processing units including a flow diverter and configured to carry a stream of articles, a vision system, and a control system interfacing with the automated processing stream and the vision system, wherein the vision system is configured to detect positions of an article and to transmit position data to the control system, and wherein the control system is configured, through operation of a processor, to determine an expected position of the article based on a first detected position, compare the expected position to a second detected position of the article, determine a deviation of the second detected position from the expected position, and control the flow diverter to divert the article based on the deviation.

Detection and removal of unstable parcel mail from an automated processing stream

Computerized system, method, and processor-executable code, as may be executed by an artificial intelligence-based system, for carrying out an autonomous process are provided. Disclosed embodiments may be used to autonomously screen in real-time mailable or shippable items being conveyed through an item processing system to identify item candidates for content inspection and/or testing to check for prohibited and/or restricted content (e.g., contraband) prior to item sortation and distribution for delivery to recipients. Disclosed embodiments make effective use of algorithms involving machine vision, machine learning, and data-intensive and/or sensor-driven tasks.

Computerized system, method and processor-executable code to autonomously screen mailable items to identify candidate items for content inspection or testing

A parcel processing system and method. A method includes inducting a plurality of parcels in a non-machinable parcel stream by a non-machinable parcel processing system. The method includes recording physical characteristics of each of the parcels. The method includes comparing the recorded physical characteristics of each parcel to machinable requirements. The method includes identifying machinable parcels based on the comparison. The method includes sorting the identified machinable parcels to an automation discharge. The method includes transporting all non-machinable parcels to workstations, by the non-machinable parcel processing system, for manual processing.

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Arlington, TX, United States of America

John M Zatopek