Security Screening
AI-powered real-time passenger threat detection using millimeter-wave and CT imaging
Business impact
- Throughput — Faster passenger processing increases the number of screened individuals per hour
- Security screening accuracy — AI detection reduces false alarms and missed threats improving safety
- Operational efficiency — Targeted rescans and real-time alerts optimize resource allocation and reduce delays
Data requirements
- Millimeter-wave scanner data (Image) — Captures detailed body scans to detect concealed objects
- Computed tomography baggage scans (Image) — Provides 3D images for automated threat identification in luggage
- Security personnel feedback (Text) — Used to refine AI threat detection algorithms and reduce false positives
AI methods and techniques
- Predictive AI — Predicts potential threats based on scan data patterns and historical incidents
- Generative AI — Generates avatar visualizations highlighting suspicious areas for operator review
AI models and model families
GPT-4, Custom CNN models for image recognition, Transformer-based threat detection models
Industries
Real-world evidence
1 documented case study on record.
Companies using this: Fraport AG.
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