Pressure Mapping Position Monitoring for Reliable AIT Screening
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Solution Overview
Problem
Existing security screening technologies, such as Automatic Threat Recognition (ATR) systems, are compromised by passengers not following TSA stance protocols, leading to inadequate threat detection and potential security risks.
Innovation Solution
Implementing a pressure mapping system that monitors passengers' stance balance and weight distribution using Commercial Off The Shelf (COTS) sensors to ensure proper footing before and during scanning, adjusting the system's thresholds for various improper stance scenarios and providing real-time feedback to security personnel.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If AIT scanning is performed without monitoring passenger stance, then screening speed is maintained, but detection reliability deteriorates due to improper stance protocols
Solution Approach 1:
The system performs preliminary monitoring of passenger stance and balance before the AIT scanning begins. Pressure sensors detect and evaluate the passenger's foot position and weight distribution in advance, ensuring proper stance is achieved before the actual scanning operation starts.
Solution Approach 2:
Pressure mapping sensors serve as an intermediary between the passenger and the AIT scanning system. These sensors monitor and verify the passenger's stance quality, acting as a mediator that ensures the scanning conditions are met before the main scanning process occurs.
2Measurement precision
If pressure mapping monitoring is added to verify stance, then screening quality improves, but processing time increases
Solution Approach 1:
The system automatically monitors and evaluates passenger stance using pressure sensors without requiring manual intervention or visual inspection by security personnel. The automated detection and verification process reduces the time that would otherwise be spent on manual stance assessment.
Solution Approach 2:
The system replaces manual visual assessment of passenger stance with automated pressure sensor monitoring. The mechanical/electronic sensing system objectively measures and evaluates stance parameters, eliminating the need for human observers to visually assess and judge passenger positioning.
3Reliability
If multiple monitoring stages are implemented, then detection accuracy improves, but system complexity increases
Solution Approach 1:
The monitoring function is segmented into distinct stages: pre-checkpoint monitoring for baseline data collection, pre-scanning monitoring for stance verification, and scanning monitoring for continuous validation. Each stage uses pressure sensors to monitor specific aspects of passenger stance at different points in the screening process.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enhances the reliability of security screening by ensuring stable foot balance and weight distribution, thereby improving the quality of ATR scans and reducing the need for unnecessary secondary screenings.
Implementation Method 1
performing a pre-checkpoint monitoring of a stance of the individual as the individual's stance to collect baseline data including weight distribution and balance of the individual as the individual's weight distribution and balance
Data Source
AI summary
In an example, a monitoring method for screening an individual, the monitoring method comprising: performing a pre-checkpoint monitoring of a stance of the individual as the individual's stance to collect baseline data including weight distribution and balance of the individual as the individual's weight distribution and balance; performing a pre-scanning monitoring of the individual's stance at a scanning system at a checkpoint to collect pre-scanning monitoring data prior to scanning the individual by the scanning system; and comparing the pre-scanning monitoring data with the baseline data to determine whether the pre-scanning monitoring data falls below a pre-scanning threshold with respect to the baseline data, the individual resetting the individual's stance at the scanning system until the pre-scanning monitoring data is below the pre-scanning threshold with respect to the baseline data before scanning the individual at the scanning system.