Data & Analytics: Transportation OCR
Description
DEA needs a reliable, accurate way to identify the cartel or other organization associated with a seized drug exhibit.
Detailed example
The technology can "fingerprint" drug seizures of various forms (e.g. packaging, powder, pills). The output is a series of best matches for experienced DEA personnel to evaluate for possible matches to associated organizations or details from previously collected drug seizures.
AI / analytics pattern
Classical/Predictive Machine Learning: Models trained on data to make predictions or classifications based on identified patterns or relationships.
Automation level / stage
a) Pre-deployment – The use case is in a development or acquisition status.
Expected benefit
AI capabilities can enable DEA to identify cartels or others organizations associated with drug seizures. This could improve DEA's understanding of drug trends.
Audit / financial statement impact
Does not produce an output that serves as a principal basis for decisions or actions with legal, material, binding, or significant effect on any of the individuals or entities identified in OMB-25-21.
Controls / human review
ATO: Not reported; PIA: Not published