Patent Document ID: 7895144
Application ID: 11971405

Base Claim:
1. A risk assessment method comprising: receiving, by an inference engine within a computing system, first sensor cohort data associated with a first cohort, said first cohort located within a pre/post security area within an airport; receiving, by said inference engine, first group technology inferences associated with said first cohort; generating, by said inference engine, first risk cohort inferences, said generating said first risk cohort inferences based on said first group technology inferences and said first sensor cohort data; receiving, by said inference engine, first inference data generated by said inference engine, said first inference data comprising a first plurality of inferences associated with said first cohort and a security perimeter surrounding said airport; receiving, by said inference engine, second inference data generated by said inference engine, said second inference data comprising a second of plurality of inferences associated with said first cohort and said pre/post security area within said airport; generating, by said inference engine, third inference data, said third inference data comprising a third plurality of inferences associated with said first cohort and said pre/post security area within said airport, wherein said generating said third inference data is based on said first risk cohort inferences, said first inference data, and said second inference data; generating, by said inference engine based on said third inference data, a first associated risk level score for said first cohort; and storing, by said computing system, said third inference data and said first associated risk level score.

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Claim 9:
9. The method of claim 1 , wherein said first sensor cohort data comprises data associated with a cohort selected from the group consisting of a retina detection cohort, a directional viewing cohort, a respiration cohort, a perspiration cohort, a pallor cohort, and a facial recognition cohort.