Stereo Camera Gateway Traversal Detection
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Solution Overview
Problem
The existing Multi-Sensor Gateway (MSG) system faces challenges in efficiently screening patrons for dangerous objects due to the requirement of passing through gates at a specific rate, as physical queuing systems can negatively impact the patron experience, and previous visual detection methods using monocular cameras lack spatial awareness and accuracy in identifying gate traversal planes.
Innovation Solution
The system employs a stereo camera system with onboard AI processing for real-time threat detection, utilizing a pair of pillars and peripherals like cameras and accelerometers to enhance spatial awareness and provide alerts, enabling effective throughput management and improved security without relying on external servers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a physical queuing system is implemented to control gate traversal rate, then screening performance is improved, but patron experience deteriorates
Solution Approach 1:
The patent replaces physical queuing mechanisms with an automated visual detection system using stereo cameras and AI processing to monitor and control gate traversal rates, eliminating the need for physical queue management while maintaining screening performance
Solution Approach 2:
The system enables self-monitoring and self-regulation of gate traversal through automated detection, where the system itself tracks traversal rates and provides insights without requiring external physical queue management intervention
2Device complexity
If a monocular camera is used for visual detection, then device complexity is reduced, but measurement precision and spatial awareness deteriorate
Solution Approach 1:
The patent transitions from 2D monocular vision to 3D stereo vision, adding the depth dimension to enable accurate spatial judgment and gate traversal plane identification while maintaining manageable system complexity through automated processing
3Measurement precision
If automated gate traversal plane identification is implemented, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent replaces manual or post-hoc analysis methods with automated computer vision algorithms that process stereo camera data in real-time to identify gate traversal planes, reducing manual intervention while managing computational complexity through optimized processing
Data Source
AI summary
A system and method of visual detection for a multi-sensor gateway using a stereo camera system. The system consists of two pillars and a stereo camera that build a gateway for patrons to pass through. Threat detection relies on artificial intelligence to analyze the sensors' data and assess the presence of a threat. The AI is performed on an edge device contained within the gateway. The gateway can consist of a number of peripherals that enhance the sensing capability of the gateway, such as a camera, or an accelerometer; or provide the security guard with information around alerts and threat locations such as with displays or audible alerts or manage the operations such as displays to control throughput.


