Intelligent TSA Screening System Logical Linkage of Travelers and Belongings for Loss Prevention and TSA Operation Optimization

Authors: 
Evgeny Shevtsov, Roman Tuchak, Yevgeni Tsirulnik, Andrei Khaitas, Srija Ganguly

Abstract:
The proposed invention comprises a TSA screening system with two top-down cameras strategically placed at the entry and exit points of the x-ray conveyor belt. Using computer vision, the system detects and tracks items placed on the conveyor belt, identifies travelers associated with these items, and provides alerts to prevent forgotten items or unauthorized item removal.

Background:
The transportation security process involves screening travelers and their belongings using x-ray machines at airport security checkpoints. However, items are frequently left behind or mistakenly picked up by other travelers, causing inconvenience to passengers and operational inefficiencies for airport authorities. Existing solutions fail to effectively prevent such issues while maintaining an efficient flow of travelers.

This invention addresses these challenges by providing a system that uses cameras and computer vision to logically link travelers with their belongings, ensuring all items are accounted for and reducing errors during the screening process.

Description:

System Components:

1. Camera 1 (Entry Camera):
   • Positioned above the entry point of the x-ray conveyor belt.
   • Captures images or video of items placed directly on the conveyor belt or in plastic trays.
   • Identifies the traveler associated with these items using facial recognition or other visual features such as clothing, body shape, or movement patterns.
   • Creates a logical linkage between the traveler and their belongings based on captured features.
2. Camera 2 (Exit Camera):
   • Positioned above the exit point of the x-ray conveyor belt.
   • Tracks items exiting the x-ray machine and identifies the traveler collecting the items.
   • Cross-references the traveler’s identity with the logical linkage established by Camera 1.
3. Computer Vision and Processing Unit:
   • Employs AI-based object detection algorithms (e.g., YOLO, Faster R-CNN) to identify and track items.
   • Uses facial recognition or other biometric analysis to identify travelers and link them to their belongings.
   • Processes data in real-time to monitor traveler-item interactions.
4. Alert Mechanism:

Triggers alerts in the following cases:

4. • A traveler attempts to leave the area without collecting all linked belongings. b. A traveler picks up an item not linked to them, indicating a potential mistake or theft.
   • Alerts are communicated via visual displays, audio notifications, or mobile app notifications.
5. Event Log and Data Management:
   • Maintains a log of all detected items, traveler identities, and associated actions.
   • Enables airport authorities to resolve disputes or locate forgotten items efficiently.

Method of Operation:

1. Item and Traveler Identification at Entry:
   • As items are placed on the conveyor belt, Camera 1 detects and identifies each item using computer vision.
   • Simultaneously, the system identifies the traveler placing the items using facial recognition or/and visual attributes.
   • The processing unit creates a logical linkage between the traveler and their belongings.
2. Item and Traveler Monitoring at Exit:
   • After screening, Camera 2 tracks the items exiting the conveyor belt and monitors travelers collecting their belongings.
   • The system cross-references the collected items with the logical linkage established at entry.
3. Alert Triggering:
   • If items remain on the conveyor belt without being collected, upon traveler intends to leave the TSA area the system triggers an alert to notify the traveler and TSA personnel.
   • If a traveler picks up an item not linked to them, the system triggers an alert for potential unauthorized removal.
4. Post-Event Management:
   • The system logs all interactions for future reference.
   • Travelers can use this log to recover lost items or resolve disputes.

Advantages:

• Improves traveler experience by reducing stress caused by forgotten or misplaced items.
• Enhances airport operational efficiency by automating item tracking and reducing lost-and-found incidents.
• Strengthens security by preventing unauthorized removal of items.
• Scalable and adaptable to various security checkpoint environments.

Claims:

1. A system for reducing lost or misplaced items at TSA screening checkpoints, comprising:
   • A first camera positioned above the entry point of an x-ray conveyor belt to detect items placed for screening and identify associated travelers;
   • A second camera positioned above the exit point of the x-ray conveyor belt to track items and travelers after screening;
   • A processing unit to create a logical linkage between identified travelers and their belongings;
   • An alert mechanism to notify travelers and TSA personnel if items are left behind or picked up by unauthorized individuals.
2. A method for ensuring the collection of items by travelers at security checkpoints, comprising:
   • Detecting and identifying items and travelers at the entry point of an x-ray conveyor belt using computer vision;
   • Creating a logical linkage between travelers and their items;
   • Monitoring items and travelers at the exit point to verify collection consistency;
   • Triggering alerts for uncollected or mismatched items.
3. The system of claim 1, wherein the processing unit employs facial recognition or visual attribute matching to identify travelers.
4. The system of claim 1, wherein the alert mechanism communicates notifications via visual displays, audio signals, or mobile applications.

TGCS Reference 00408