Robotic Baggage Swabbing With Spatial Reference Localization
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Solution Overview
Problem
Current security screening processes at airports are inefficient as they require manual intervention by Bomb Appraisal Officers (BAOs) to handle baggage items detected with potential explosives or hazardous materials, leading to schedule and availability burdens.
Innovation Solution
A robotic system that includes a transport bin with machine-readable spatial reference frame markings, allowing for robotic opening and inspection of baggage items using articulated robotic arms and machine vision, enabling precise localization and swabbing of objects-of-interest (OOIs) based on electromagnetic scanning and machine vision data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual intervention by Bomb Appraisal Officers is used to handle suspect baggage, then security inspection can be performed, but schedule and availability burdens increase and efficiency decreases
Solution Approach 1:
The robotic system performs self-service by autonomously executing the complete inspection workflow including baggage transport, opening, swabbing, and analysis without requiring human Bomb Appraisal Officers to manually handle each suspect baggage item. The system serves itself by integrating all necessary functions in one automated platform.
Solution Approach 2:
The patent replaces the manual mechanical system of Bomb Appraisal Officers physically handling baggage with an automated robotic system that uses robotic arms, conveyors, and automated swabbing mechanisms to perform the same security inspection functions without human physical intervention.
2Ease of operation
If robotic arms perform extensive movements to access objects in baggage, then inspection can be performed, but non-productive movement time increases
Solution Approach 1:
The system performs preliminary actions by pre-positioning the robotic arm and pre-planning the inspection path based on electromagnetic scanning data that identifies object locations before the actual swabbing operation. This allows the robotic arm to move directly to target positions without unnecessary exploratory movements.
Solution Approach 2:
The system uses feedback from electromagnetic scanning and machine vision systems to continuously monitor and adjust robotic arm positioning. The scanning systems provide real-time information about object locations, allowing the robotic arm to optimize its movement path and avoid non-productive movements.
3Ease of operation
If baggage content is shifted during inspection, then objects can be accessed, but unnecessary shifting increases inspection time
Solution Approach 1:
The system replaces mechanical manipulation of baggage contents with automated swabbing mechanisms that can reach and sample objects without physically moving or shifting baggage items. The robotic arm positions the swab precisely at the target location based on scanning data, eliminating the need for manual content shifting.
4Measurement precision
If precise localization of objects is achieved using spatial reference frames, then swabbing accuracy improves, but system complexity increases
Solution Approach 1:
The spatial reference frame marking acts as an intermediary element that bridges the electromagnetic scanning system and the robotic positioning system. This simple visual marker provides a common coordinate reference that allows precise localization without requiring complex direct integration between the scanning and robotic control systems.
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
This system reduces the time wasted on non-productive movements of robotic arms and minimizes unnecessary baggage content shifting, enabling efficient handling and inspection of suspect baggage items, thereby enhancing security screening efficiency and reducing the burden on security personnel.
Implementation Method 1
receiving from an electromagnetic scanning a transport bin and an object-of-interest (OOI) geometric position information
Implementation Method 2
machine vision detecting of the spatial reference frame marking
Data Source
AI summary
Systems and methods are described, and an example system includes a transport bin configured to carry a baggage item and having spatial reference frame marking detectable by electromagnetic scan and by machine vision. The system includes a robotic arm apparatus at an inspection area, and includes a switched path baggage conveyor that, responsive to electromagnetic scan detection of an object-of-interest (OOI) within the baggage item, conveys the transport bin to the inspection area. The electromagnetic scan generates OOI geometric position information indicating geometric position of the OOI relative to the spatial reference frame marking. The robotic arm apparatus, responsive to receiving the transport bin, uses machine vision to detect orientation of the spatial reference frame marking, then translates OOI geometric position information to local reference frame, for robotic opening of the baggage item, and robotic accessing and contact swab testing on the OOI.