View The Document

Accession Number:

AD1132142

Title:

Experience-Based Recommendations For Face Recognition

Author(s):

• Blackburn, Duane

Author Organization(s):

• MITRE CORP

Report Date:

2020-01-01

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.

Document Type:

Conference:

Journal:

Pages:

4

File Size:

0.99MB

Contracts:

Grants:

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)

Identifiers:

• biometric face recognition algorithms
• FACIAL ANALYTICS ALGORITHMS
• Information Privacy

SubjectCategory:

• Biotechnology
• Mathematical and Computer Sciences

Communities of Interest:

• Biomedical

Distribution Statement:

Approved For Public Release

View The Document