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, 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.

Systems, devices and methods, etc., that overcome one or more problems associated with high-speed monitoring of large numbers/volumes of postal articles of postal articles for dangerous materials and contaminants. Such monitoring can be more economic, practical, efficient and/or effective. The monitoring systems, methods, etc., herein provide positive pressure clean air passing through an interrogation zone in interrogation zone housing, through which suspect postal articles are pass to provide sampled air, which in turn is analyzed optically to detect dangerous materials such as illicit biologicals or chemicals and to identify the source envelope (or other postal article) to within a few envelopes.

A modular system provides automated legacy drill cutting samples digitization. The system includes a central processing unit, at least one robotic arm, a conveyor, and a retractable stand. The robotic arm, which is controlled by the central processing unit, opens drill cutting samples already bagged and stored in a laboratory. The conveyor transports the drill cutting samples between a plurality of stations that include an extractor, a digitizer, and a packager. The extractor extracts the drill cutting samples; the digitizer performs a plurality of measurements on the extracted samples using one or more measuring sensors attached to the retractable stand; and the packager labels and packs the extracted samples into a collection box.