Aircraft IFE Installation Verification Using Machine Vision and OCR
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Solution Overview
Problem
Conventional methods for verifying the installation of in-flight entertainment devices in aircraft are time-consuming and prone to human error, requiring manual confirmation of device positions and connections, which can lead to malfunctions and passenger inconvenience.
Innovation Solution
A machine vision-assisted verification system using a computing device and a reader device to digitally obtain and compare the actual and stored identities of IFE devices, determining correct installation and wiring through network topology-based IP addresses and optical character recognition.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual verification methods are used to confirm IFE device installation, then human operators can visually confirm device positions and connections, but the process becomes time-consuming and labor-intensive
Solution Approach 1:
The patent replaces manual mechanical verification processes with an automated optical inspection system using machine vision technology. The system captures images of IFE devices and uses computer algorithms to automatically identify device positions, read serial numbers, and verify connections, eliminating the need for operators to manually inspect each device while significantly reducing verification time and increasing accuracy.
Solution Approach 2:
The system enables the verification process to perform itself automatically without human intervention. The machine vision system autonomously captures images, processes them through optical character recognition software, compares captured serial numbers with the bill of materials, and generates verification reports, allowing the verification function to serve itself rather than requiring operator attention.
2Reliability
If operators manually compare part numbers and serial numbers of IFE devices, then installation verification can be performed, but human error may be introduced
Solution Approach 1:
The patent replaces error-prone manual comparison operations with automated optical character recognition and computer-based image processing. The machine vision system captures images of device labels and connections, uses software to automatically read and compare serial numbers with the bill of materials, and eliminates human cognitive errors while maintaining verification reliability.
Solution Approach 2:
The system creates digital copies of device identification information through image capture and optical character recognition. Instead of manually reading and comparing physical labels, the system generates digital representations of serial numbers and device identifiers, which can be automatically compared against the bill of materials database, reducing errors while managing system complexity through software automation.
3Ease of operation
If visual confirmation via displays is used for IFE devices with associated displays, then device position can be confirmed, but additional time is required to download and initialize graphical software stacks
Solution Approach 1:
The patent extracts the identification information directly from physical device labels and serial number tags visible on the IFE devices themselves, rather than requiring the device software displays to be initialized. The machine vision system captures images of these physical identifiers, eliminating the need to download and run graphical software stacks while maintaining ease of device identification.
Solution Approach 2:
The system performs identification based on pre-existing physical labels and serial numbers that are already present on the devices during installation, rather than waiting for software to be loaded and displays to be initialized. This preliminary action of capturing physical identifiers immediately eliminates software initialization delays while maintaining operational ease.
4Reliability
If conventional manual verification methods are used, then operators can test audio output and data transfer, but the process requires significant manual intervention and is prone to error
Solution Approach 1:
The patent replaces manual testing operations with automated machine vision-based optical inspection. The system captures images of device connections, reads serial numbers automatically, and verifies installation against the bill of materials through computer processing, eliminating manual intervention while increasing both reliability and verification throughput through automation and parallel processing capabilities.
Solution Approach 2:
The verification system performs self-service by autonomously capturing images, processing them through optical character recognition, comparing results with the bill of materials, and generating verification reports without requiring operator intervention for each device test, thereby improving both reliability and productivity through automated self-execution of the verification process.
Data Source
AI summary
Systems, devices, and methods for aircraft in-flight entertainment (IFE) devices installation verification are disclosed herein. In some implementations, a verification system includes a computing device that can operably connect to multiple IFE devices and a reader device. Each IFE device can report its own stored identity to the computing device, and the computing device can determine the position of each IFE device based on a network topology-based network address assigned to each IFE device. The reader device can obtain and communicate, to the computing device, actual identities and expected installation positions of the IFE devices. The verification system can then compare, for each position, the actual identity, which indicates which IFE device should be installed in that position, against the reported stored identity, which indicates which IFE device has been installed in that position. The verification system can display, on a graphical user interface, the comparison.