Real-time Micro Air-quality Indexing via Image Analysis
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Solution Overview
Problem
Current air-quality monitoring systems provide only daily metrics for general regions, leaving users vulnerable to variable changes in air-quality throughout the day, as they do not offer real-time air-quality information.
Innovation Solution
A method and system that correlates image quality measures, such as sharpness or brightness, from images captured by recording devices to generate a micro air-quality index, which is then displayed to users, allowing for real-time air-quality assessment based on image analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If daily air-quality metrics for general regions are provided, then information availability is improved, but real-time accuracy and local specificity deteriorate
Solution Approach 1:
The patent replaces traditional mechanical air-quality monitoring systems with an optical-based image analysis system. By capturing images and analyzing their quality parameters (sharpness, brightness, contrast) to infer air-quality conditions, the system eliminates the need for complex sensor arrays and provides real-time, location-specific air-quality data without the limitations of conventional daily regional metrics.
Solution Approach 2:
The patent introduces image quality parameters as an intermediary to indirectly measure air-quality conditions. Instead of directly measuring air composition with sensors, the system uses visual characteristics of images (affected by air quality) as a proxy indicator, enabling real-time inference of air-quality metrics at specific locations.
2Area of stationary object
If general regional air-quality metrics are used, then data coverage is improved, but local specificity and temporal resolution deteriorate
Solution Approach 1:
The patent segments the broad regional air-quality measurement into localized micro-environment assessments. By analyzing images captured at specific locations and times, the system provides granular, location-specific air-quality data that can change dynamically, eliminating the time delay inherent in daily regional averages while maintaining comprehensive coverage through widespread image collection.
Solution Approach 2:
The patent adds temporal and spatial dimensions to air-quality measurement by capturing images at multiple times and locations. This transforms static daily regional metrics into dynamic, multi-dimensional data that reflects real-time conditions across different areas, providing both local specificity and temporal resolution simultaneously.
Data Source
AI summary
A first image may be received by a processor. The processor may identify an image quality measure of which to evaluate the first image. The processor may compare the first image to one or more images. The processor may generate a first image quality score for the first image based on the comparing. The processor may convert the first image quality score into a first micro air-quality index. The processor may transmit the first micro air-quality index to a recording device. Additionally, a recording device may capture a first image. The recording device may send the first image to a database that may include a model associated with an image quality measure. The recording device may receive a first micro air-quality index associated with the image quality measure. The recording device may rearrange a display of the first image to display the first micro air-quality index.