AI-Based Electronic Status Detector for AED Readiness
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing methods for monitoring the electronic status of critical assets like Automated External Defibrillators (AEDs) are inadequate, often leading to unnoticed errors and potential failures when needed most.
Innovation Solution
A system utilizing a trained computing network, including neural networks, for analyzing and monitoring the electronic circuitry and functionality of AEDs, leveraging artificial intelligence and machine learning to assess the status of visible electronic indicators such as LEDs and LCDs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If periodic physical inspections are performed, then battery replacement and basic maintenance can be ensured, but electronic circuitry errors and functional failures remain undetected
Solution Approach 1:
The patent replaces manual physical inspection methods with an automated electronic status detection system. The system captures images of electronic indicators (LEDs, LCD displays) and processes them through image recognition algorithms to automatically assess device status, eliminating the need for manual checking while improving detection capability for electronic failures.
Solution Approach 2:
The patent introduces an intermediary system consisting of a camera, image processing unit, and status assessment algorithm. This intermediary chain bridges the gap between the electronic device's internal state and human operators, automatically translating electronic indicator states into actionable status assessments without requiring direct manual inspection of electronic components.
2Extent of automation
If manual inspection methods are used, then simple monitoring is possible, but continuous automated monitoring of electronic status cannot be achieved
Solution Approach 1:
The patent makes the monitoring system multi-functional by having a single camera-based system perform multiple tasks: capturing images of electronic indicators, processing images through recognition algorithms, assessing device status, and generating maintenance alerts. This consolidates what would otherwise require multiple separate monitoring mechanisms into one unified automated system.
3Loss of information
If visible electronic indicators are used to display status, then device condition can be communicated, but subtle or complex electronic failures may not be properly interpreted
Solution Approach 1:
The patent creates a visual copy of the electronic indicator state through camera imaging. Instead of requiring direct interpretation of electronic signals or complex display outputs, the system captures an image copy of the indicator and uses image recognition algorithms to interpret the status, making complex electronic states more accessible and reducing information loss through standardized visual representation.
Data Source
AI summary
An electronic status determination system may electronically capture digital media with respect to electronic circuitry and/or functionality of an electronic device being remotely monitored via a camera functionality of the system, and may store the captured digital media in a memory. The system may evaluate, such as in connection with one or more neural networks trained on a data set comprising the digital media, for example, to determine a status of the electronic device. The determined status of the electronic device may be communicated electronically via a communications network, such as to one or more additional computing devices, which may include a remote server device.