Image Analysis System for Rain Gear Detection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Users often face uncertainty when deciding whether to carry rain gear based solely on weather information, leading to inappropriate decisions due to inaccurate perception of rain intensity.
Innovation Solution
An information providing system that acquires and analyzes images from network cameras to determine if individuals are carrying rain gear, generating situation information that is displayed on user terminals, allowing users to make more informed decisions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If weather information alone is used to determine rain gear necessity, then the system remains simple, but the accuracy of decision-making deteriorates
Solution Approach 1:
The patent introduces an intermediary system consisting of cameras, image analysis algorithms, and situation information generation components. This intermediary translates complex visual scene data into simplified situation information (e.g., 'rain likely', 'rain unlikely') that can be easily consumed by users, thereby improving decision accuracy without requiring users to directly process complex image data
Solution Approach 2:
The patent replaces the traditional mechanical/weather-based decision system with an information processing system that uses image capture, computer vision algorithms, and automated analysis. This substitution enables more accurate rain gear recommendations by analyzing actual outdoor conditions and pedestrian behavior patterns rather than relying solely on weather forecasts
2Loss of information
If image analysis is added to weather information, then decision accuracy improves, but information processing complexity increases
Solution Approach 1:
The patent extracts only the most relevant features from complex image data, such as the presence of open umbrellas, raincoats, or other rain gear indicators. By focusing on specific discriminative features rather than processing all image data, the system reduces computational complexity while maintaining high information completeness for rain gear decision-making
Solution Approach 2:
The patent segments the image analysis task into distinct components: detecting pedestrians, identifying rain gear objects, analyzing their states (e.g., umbrella open/closed), and synthesizing situation information. This segmentation allows each component to be processed independently and efficiently, reducing overall system complexity
3Reliability
If situation information from image analysis is provided, then user decision-making improves, but data acquisition and processing time increases
Solution Approach 1:
The patent performs preliminary actions by continuously capturing images and pre-processing them to identify rain gear patterns and pedestrian behaviors in advance. The system maintains a buffer of analyzed situation information ready for immediate retrieval, reducing the time required to provide reliable recommendations when users query the system
Solution Approach 2:
The patent implements continuous image capture and analysis operations, ensuring that situation information is constantly updated and maintained. This continuous processing eliminates gaps in data availability and reduces the effective response time by keeping the system in a ready state, thereby maintaining high reliability without significant time loss
Data Source
AI summary
An information providing system 10 includes an acquiring unit 210 that acquires an image captured by an imaging unit (a camera 100-1, a camera 100-2, and a camera 100-3) via a network, an analyzing unit 220 that analyzes the image to generate at least situation information indicating whether a captured person carries a rain gear, and a display control unit 240 and 320 that displays the situation information on a user terminal.