Barrierless Passenger Transit Validation With 3D Tracking
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Solution Overview
Problem
Current passenger transit gates at airports are expensive, complex, and invasive due to mechanical barriers, while airport authorities seek secure yet cost-effective solutions for passenger control.
Innovation Solution
A barrierless gate system using 3D sensor technology for passenger transit validation, employing 3D cameras to track and validate passengers through multiple gates without physical barriers, ensuring security against fraud and tailgating, and reducing the need for manual agents.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional mechanical barriers are used for passenger control, then security control is improved, but device complexity and cost increase
Solution Approach 1:
The patent replaces mechanical barriers with an automated system using 3D cameras, sensors, and computer vision to detect and control passenger flow. The system uses overhead cameras to capture 3D images of passengers, processes this data to identify unauthorized attempts, and automatically controls barrier gates without mechanical intrusion, thereby reducing complexity while maintaining security.
Solution Approach 2:
The patent introduces an intermediary control system that includes sensors, cameras, and processing units between the passenger and the physical barrier. This intermediary system detects passenger presence, validates authorization, and controls barrier activation, eliminating the need for direct mechanical interaction and reducing system complexity.
2Reliability
If traditional mechanical barriers are used for passenger control, then security control is improved, but cost increases
Solution Approach 1:
The patent replaces expensive mechanical barrier systems with a more cost-effective automated system using standard 3D cameras, sensors, and software processing. This substitution reduces hardware costs, eliminates complex mechanical components, and lowers maintenance requirements while maintaining security control effectiveness.
Solution Approach 2:
The patent creates a digital copy of the passenger through 3D imaging and facial recognition models, replacing the need for physical mechanical barriers. This digital representation allows for secure identification and tracking without requiring expensive physical infrastructure, reducing overall system cost.
3Reliability
If traditional mechanical barriers are used for passenger control, then security control is improved, but passenger experience deteriorates
Solution Approach 1:
The patent replaces intrusive mechanical barriers with a contactless automated system using 3D cameras and sensors. Passengers are detected and validated through optical fields rather than physical contact, eliminating the intrusive experience of traditional barriers while maintaining security control.
Solution Approach 2:
The system performs automatic passenger detection, identification, and validation without requiring manual intervention or physical interaction with barriers. The automated system handles security control independently, improving passenger experience by eliminating manual operations and physical contact requirements.
Data Source
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 and generating passenger identification data including a passenger face recognition model; performing handover of the passenger identification data to a passenger tracking subsystem; 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 are generated which indicate whether transit at the barrierless gate is allowed or denied.