Barrierless Passenger Transit Gating With 3D Shape Tracking

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Solution Overview

Problem

Current passenger transit systems at airports are expensive, complex, and intrusive due to mechanical barriers, while airport authorities seek secure yet cost-effective solutions for passenger control.

Innovation Solution

A barrierless passenger transit system using 3D sensor technology for passenger identification and tracking, employing audio and visual feedback, which validates passenger transit through multiple gates without physical barriers, reducing the need for manual agents.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If traditional mechanical barrier gates are used for passenger control, then security and passenger control are improved, but device complexity and cost increase significantly

Engineering Contradiction:

Improvepassenger control securityVSAvoidgate mechanical components

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The patent replaces mechanical barrier gates with an optical-based 3D sensing and recognition system. Overhead 3D cameras capture passenger images, and software algorithms analyze body shape, posture, and gait to validate transit authorization, eliminating complex mechanical components while maintaining security control

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system creates a digital 3D model (copy) of the passenger's body shape and characteristics from overhead camera images. This digital replica is then analyzed and compared against authorized passenger profiles to determine transit validity, replacing the need for physical barrier mechanisms

Inventive Principle:

Principle #26Copying

2Reliability

If mechanical barrier gates are deployed, then passenger transit control is improved, but operating costs and agent requirements increase

Engineering Contradiction:

Improvetransit controlVSAvoidoperating costs

Core Design Contradiction:

ReliabilityVSLoss of energy

Solution Approach 1:

The system enables automated self-validation of passenger transit using overhead 3D cameras and recognition algorithms. The system independently captures images, analyzes body shape and posture, verifies authorization status, and controls gate activation without requiring manual agent intervention, thereby reducing operational costs

Inventive Principle:

Principle #25Self-service

3Reliability

If conventional gates with physical barriers are used, then security validation is improved, but passenger experience deteriorates due to intrusiveness

Engineering Contradiction:

Improvesecurity validationVSAvoidpassenger experience

Core Design Contradiction:

ReliabilityVSEase of operation

Solution Approach 1:

Instead of using ground-level barriers that obstruct and intrude on passengers, the system inverts the approach by using overhead 3D cameras to capture images from above. This allows security validation to occur without physical obstacles in the passenger's path, maintaining both security and ease of passage

Inventive Principle:

Principle #13The other way round (Inversion)

4Device complexity

If barrierless gates with 3D sensing are used, then device complexity and cost are reduced, but difficulty of detecting fraud and tailgating increases

Engineering Contradiction:

Improvegate systemVSAvoidfraud detection

Core Design Contradiction:

Device complexityVSDifficulty of detecting and measuring

Solution Approach 1:

The system dynamically analyzes multiple changing parameters of passenger movement including body shape contours, posture angles, gait patterns, and movement velocity. By continuously monitoring these dynamic characteristics throughout the transit process, the system can detect anomalies indicating fraud or tailgating without requiring complex additional hardware

Inventive Principle:

Principle #15Dynamics

Data Source

PatentEP4618051A1Passenger transit validation and gating system and method

Publication Date: 2025.09.17 AMADEUS SAS

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AI summary

Passenger transit validation and gating for passenger transit from a non-restricted area to a restricted area at a plurality of barrierless gates comprises: identifying a passenger at a passenger identification touchpoint (200) and generating passenger identification data including a passenger face recognition model (230); performing handover of the passenger identification data to a passenger tracking subsystem (300, 400, 500); recognizing the passenger in the passenger tracking subsystem using 3D image data captured by a 3D camera and the passenger face recognition model, and generating a shape recognition model for the passenger; tracking the passenger along a path through a plurality of tracking zones with the 3D camera using the shape recognition model. Transit validation for the passenger is by analyzing the passenger's shape relative to the passenger shape recognition model, wherein the passenger shape recognition model is modified with the passenger's path through the tracking zones. In response to the transit validation passenger feedback and supervision signals (600) are generated which indicate whether transit at the barrierless gate is allowed or denied. (Fig. 2)