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Accession Number:

AD1132102

Title:

Experience-Based Recommendations for Face Recognition

Author Organization(s):

• Mitre Corporation

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. In examples such as fighting child pornography, screening at major security events, and enabling the integrity of international border crossings, face recognition has been a successful tool in identifying suspicious actors intent on harming others or breaking laws. Simpler versions are also being used for personal electronics, access control, and time/attendance applications.

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:

• face recognition

SubjectCategory:

• Mathematical and Computer Sciences

Communities of Interest:

• Biomedical

Distribution Statement:

Approved For Public Release

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