Human-Machine Teaming App for Operational Performance Enhancement

Millions of mail packages and luggage of passengers arriving at ports of entry from international locations represent significant entry pathways of concern for the accidental or intentional introduction of transboundary infectious diseases and pests. Each year, approximately 2,480 agricultural specialists inspect 400 million pieces of mail, 432 million checked bags, and 1.6 billion carry-on bags that enter the U.S. through 192 air, land, and maritime ports of entry. During this inspection process, in the Fiscal Year 2021, agriculture specialists conducted 630,150 positive passenger inspections. The increasing volume of packages and luggage that needs inspection with the same number of personnel exacerbates performance pressures to detect potentially illegal and unsafe products.

At Orion Integrated Biosciences, we are advancing the development of Human-Machine-Tools that can enhance operational efficiency. Human-machine teaming (HMT) is an emerging field of A.I. research that seeks to solve operational uncertainties generated by the performance degradation of a human operator and machine failures or errors and compensate for them concerning mission goal accomplishment. Orion Integrated Biosciences Inc’s HMT architecture has four main components: 1) Human to Machine Transformation, 2) Machine to Human Transformation, 3) Multidimensional Data Fusion, and 4) Data-driven Decision-Making. HMT interface employs machine learning, artificial neural networks, and deep learning techniques for training, tuning, and testing in one-directional to bi-directional loops that improve the algorithm’s performance in detecting known and unknown biothreats.