Accession Number:

AD1132142

Title:

Experience-Based Recommendations For Face Recognition

Descriptive Note:

[Technical Report, Technical Paper]

Corporate Author:

MITRE CORP

Personal Author(s):

• Blackburn, Duane

Report Date:

2020-01-01

Pagination or Media Count:

4

Abstract:

Face recognition is one of the most powerful and misunderstood technologies in modern times. It can help determine or help verify identity and then link that identity to specific times, locations, activities, and other persons present. In the hands of trained and experienced experts it is properly and successfully used every day to make us safer.

Descriptors:

• civil rights
• law
• systems engineering
• congress
• recognition
• best practices
• system of systems
• training
• accuracy
• algorithms
• artificial intelligence
• complex systems
• governments
• identities
• intelligent systems
• computer access control
• engineering
• human-machine systems
• law enforcement
• president (united states)

Subject Categories:

• Human Factors Engineering and Man Machine Systems
• Cybernetics

Distribution Statement:

[A, Approved For Public Release]