Facility apparatus control device and facility apparatus control method
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Solution Overview
Problem
Existing facility apparatus control systems cannot identify and provide suitable air-conditioning for multiple users in a space, as they rely on detecting a single user's location and cannot differentiate between individuals.
Innovation Solution
A facility apparatus control device with multiple image capturing units, a data-for-learning generating unit, a learning unit, a person detecting unit, and an apparatus control unit that captures and analyzes images to identify and learn features of individuals in one space and control facilities in another space based on matching features and locations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a single image capturing unit is used to detect user location, then the device complexity is reduced, but the ability to identify and differentiate multiple users is lost
Solution Approach 1:
The system divides the user identification task into multiple stages: first capturing images with multiple cameras, then segmenting the image data to extract individual user features, and finally identifying each user separately. This segmentation allows the system to handle multiple users while maintaining manageable system complexity
Solution Approach 2:
The system introduces an intermediary processing unit that receives images from multiple capturing units and performs feature extraction and comparison. This intermediary layer manages the complexity by handling the sophisticated image analysis tasks separately from the simple image capture function
2Measurement precision
If multiple image capturing units are used to identify multiple users, then the user identification accuracy is improved, but the device complexity increases
Solution Approach 1:
The system merges the functions of multiple image capturing units into a unified detection system that processes images together. By combining the captured images and processing them through shared feature extraction and comparison logic, the system achieves accurate multi-user identification without proportionally increasing overall system complexity
Solution Approach 2:
The image processing system is designed with universal functionality that can handle both single-user and multi-user scenarios using the same core algorithms. The feature extraction and comparison mechanisms work universally for any number of users, reducing the need for separate specialized systems
Data Source
AI summary
A facility apparatus control device includes: first and second image capturing units capturing images of first and second spaces; a data-for-learning generator generating location information on a person in the first space by analyzing a first image captured and extracting therefrom, an image of a range including the person in the first space; a learning unit learning, using the location information and a first extracted image extracted by the data-for-learning generator, a feature of the person in the first space and a staying location of the person in the first space; a person detector detecting a person in the second space by analyzing a second image captured and extracting therefrom, an image of a range including the detected person; and an apparatus controller controlling a facility apparatus installed in the first space using a second extracted image extracted by the person detector and a learned result of the learning unit.