Security Screening

AI supports airport security screening by matching identity documents to live traveler photos and by detecting threats in walk-through scanners.

Business impact

• Throughput — DFW says the walk-through scanner supports high-volume throughput during peak times such as shift changes.
• Bottlenecks — The walk-through system is intended to reduce screening bottlenecks.
• Alarm rates — Rohde & Schwarz says the scanner is designed to decrease alarm rates.
• Walk-through scanners installed for employee screening — DFW installed up to 12 scanners for employee screening in restricted areas.

Data requirements

• Identity documents (image) — TSA scans driver’s license and passport images from traveler credentials.
• Live traveler photo (image) — CAT-2 uses a camera to capture a live photograph for comparison.
• Flight and prescreening information (tabular) — CAT-2 retrieves flight and prescreening information during the screening process.
• Security screening sensor data (sensor) — The walk-through scanner uses mmWave sensing to detect threats.

AI methods and techniques

• Facial matching — TSA uses a facial matching algorithm to compare a live traveler photo with the photo on the identity document.
• Machine learning — Rohde & Schwarz pairs mmWave screening with AI and ML to detect threats in walk-through screening.

Industries

Real-world evidence

2 documented case studies on record.

Companies using this: Transportation Security Administration (TSA), Dallas Fort Worth International Airport.