Customs and Border Protection is continuing to work on developing algorithmic systems to conduct automated inspections of vehicles at the border, with the providers of these systems still in the ...

Anomaly detection is the process of identifying events or patterns that differ from expected behavior. Anomaly detection can range from simple outlier detection to complex machine learning algorithms ...

On behalf of U.S Customs and Border Protection (CBP) Non-Intrusive Inspection (NII) Division, this Special Notice is to inform vendors of a Virtual Industry Day that CBP will be hosting on January ...

Anomaly detection in the context of data science is detecting a data sample that is out of the ordinary and does not fit into the general data pattern (or an outlier). This deviation can result from a ...