Camera-Based AED Monitoring via Image Capture
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Solution Overview
Problem
Existing remote electronic monitoring systems for critical assets like automated external defibrillators (AEDs) are inefficient and prone to errors due to the need for precise alignment and dark environments for optical receivers, leading to missed maintenance and increased risk of device failure.
Innovation Solution
Implementing a camera-based monitoring system that captures digital media of status indicators using a timing sequence, allowing for remote analysis and notification of asset conditions via electronic communications, leveraging enhanced machine-type communications (eMTC) for efficient data transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If optical receivers are used to monitor status indicators, then remote monitoring capability is achieved, but precise alignment and dark environments are required which reduces reliability
Solution Approach 1:
The patent uses a camera to capture visual images of status indicators and transmits these images to a remote server for analysis. This copying approach replaces direct optical reception with image capture and digital processing, eliminating the need for precise optical alignment and dark environments while maintaining remote monitoring capability
Solution Approach 2:
The patent replaces the optical receiver system with a camera-based imaging system. This substitution transitions from direct optical detection requiring precise alignment to digital image capture that is more tolerant of environmental variations, thereby improving reliability while maintaining automation
2Measurement precision
If optical receivers require precise alignment, then monitoring accuracy is improved, but system complexity and difficulty of installation increase
Solution Approach 1:
By capturing complete images of status indicators and analyzing them digitally, the system achieves monitoring accuracy without requiring precise optical alignment. The camera captures the entire indicator field of view, and image processing algorithms extract status information, simplifying the physical setup while maintaining measurement precision
3Measurement precision
If optical receivers require dark environments, then signal detection is improved, but adaptability to different locations is reduced
Solution Approach 1:
The camera-based system captures images of status indicators in various lighting conditions and uses image processing to extract status information. This approach eliminates the requirement for dark environments while maintaining signal detection capability, allowing deployment in diverse locations including brightly lit public spaces
Data Source
AI summary
Briefly, example methods, apparatuses, and/or articles of manufacture are disclosed that may be implemented, in whole or in part, using one or more computing devices to facilitate and/or support one or more operations and/or techniques for remote electronic monitoring infrastructure, such as implemented, at least in part, via electronic communications, which may include, for example, enhanced machine-type communications (eMTC).