Aircraft Cargo Bay Monitoring for Theft and Damage Detection

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Solution Overview

Problem

Aircraft cargo compartments face challenges in identifying cargo theft and damage, which increases costs for shippers and consumers, poses safety risks, and damages aircraft and equipment.

Innovation Solution

An aircraft interface device monitors the cargo bay using cameras and motion sensors, processing image data with deep neural networks for event detection and classification, generating alarms for theft, and interfacing with on-ground infrastructure for analysis and synchronization.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If manual inspection methods are used to monitor cargo, then operational simplicity is maintained, but detection precision and response time deteriorate

Engineering Contradiction:

Improvetheft and damage detection precisionVSAvoidmonitoring system complexity

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The patent replaces manual mechanical inspection with an automated electronic monitoring system comprising cameras, motion sensors, and neural network-based image processing. This substitution enables continuous automated surveillance of the cargo bay, significantly improving detection precision for theft and damage events while eliminating the need for manual inspection resources.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The patent introduces an aircraft interface device as an intermediary between the cargo bay environment and the ground infrastructure. This device receives image data from cameras, processes it through neural networks locally, and communicates with ground-based systems for further analysis and alarm generation, thereby distributing system complexity across multiple levels.

Inventive Principle:

Principle #24Intermediary (Mediator)

2Reliability

If automated monitoring systems are deployed, then detection capability is improved, but system complexity increases

Engineering Contradiction:

Improvecargo security and safety reliabilityVSAvoidmonitoring system structure

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The patent segments the monitoring system into distinct functional modules: cameras for image capture, motion sensors for movement detection, an aircraft interface device for local processing and communication, and ground infrastructure for centralized analysis. This segmentation allows each component to be optimized independently while working together to provide reliable cargo security and safety monitoring.

Inventive Principle:

Principle #1Segmentation

3Speed

If continuous monitoring is implemented, then detection speed is improved, but energy consumption increases

Engineering Contradiction:

Improvetheft and damage detection speedVSAvoidcamera and sensor energy consumption

Core Design Contradiction:

SpeedVSUse of energy by moving object

Solution Approach 1:

The patent implements periodic motion detection followed by targeted image capture only when movement is detected. The motion sensors continuously monitor the cargo bay and trigger camera activation only upon detecting motion events, thereby maintaining fast detection response while significantly reducing the energy consumption associated with continuous camera operation.

Inventive Principle:

Principle #19Periodic action

Data Source

PatentEP4253255A1Systems and methods for identifying damage and theft in an aircraft cargo bay

Publication Date: 2023.10.04 GOODRICH CORP

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AI summary

A method for monitoring an aircraft cargo bay using an aircraft interface device may comprise receiving image data of a cargo bay of an aircraft. The method may further comprise detecting movement in the cargo bay, directing a camera to activate in response to that movement, and processing the captured image data. The aircraft interface device may include pre-trained neural network based algorithms configured for event classification. The method may further comprise generating an alarm based on a theft event classification and transmitting the alarm to an aircraft.