Room Imaging Control for Triggered Contamination Response
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Solution Overview
Problem
Conventional infection control methods in spaces like medical surgical rooms are inadequate for timely detection of contamination events, especially when personnel are absent, leading to potential exposure and damage.
Innovation Solution
A contamination control system using imaging devices and a processor to detect triggering events like sneezes, coughs, and sanitization violations, track contamination spread, and initiate reaction events such as disinfection or alerts based on image comparisons.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If continuous monitoring of the room is performed to detect contamination events, then detection reliability is improved, but energy consumption increases
Solution Approach 1:
The system performs image capture at periodic intervals rather than continuously, with the processor comparing successive images to detect changes. This periodic monitoring approach maintains contamination detection capability while significantly reducing energy consumption compared to continuous operation.
Solution Approach 2:
The system captures a reference image of the room before contamination events occur, establishing a baseline for comparison. This preliminary action enables the system to detect contamination by comparing subsequent images against the reference, improving detection reliability without requiring continuous active monitoring.
2Measurement precision
If image comparison is performed for every captured frame to detect contamination, then measurement precision is improved, but computational load increases
Solution Approach 1:
The system performs full image comparison only when triggering events are detected, rather than comparing every captured frame. This partial action approach maintains detection precision for critical events while reducing computational load by skipping comparisons during normal conditions.
Solution Approach 2:
The reference image is captured and stored in advance, serving as a pre-prepared comparison baseline. This preliminary action allows the system to quickly compare against the reference when needed, improving detection precision without requiring complex real-time processing for every frame.
3Reliability
If the system responds to all detected changes with reaction events, then response completeness is improved, but device complexity increases
Solution Approach 1:
The system applies different response strategies based on the type and severity of detected contamination. Not all changes trigger the same reaction events - the system selectively initiates appropriate responses based on the specific contamination scenario, maintaining response completeness while reducing unnecessary complexity.
Solution Approach 2:
The system initiates reaction events selectively based on the significance of detected changes, rather than responding to every minor variation. This partial action approach ensures complete response to critical contamination events while avoiding unnecessary complexity from over-responsive behavior.
Data Source
AI summary
A contamination control system includes a processor; and a non-transitory, processor readable storage medium communicatively coupled to the processor, the non-transitory, processor readable storage medium including one or more instructions stored thereon that, when executed, cause the processor to: scan a room to obtain a reference image; detect occurrence of one or more triggering events based on one or more contamination identification processes; rescan the room to obtain a second image to determine a region of interest of contamination; compare the second image to the reference image; determine a change between the second image and the reference image; and control initiation of one or more reaction events.