Sensing method and sensing system, and air conditioning device having the same
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Solution Overview
Problem
The existing technology for air conditioning control using thermal image sensors lacks confirmation of recognition precision, leading to inefficient air conditioning operations due to low recognition accuracy.
Innovation Solution
A sensing method and system that acquires thermal images, identifies objects within the image, adds identification information, and allows user feedback to improve recognition precision, incorporating a processor for acquiring, identifying, presenting, and accepting responses to thermal images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If thermal image sensors are used for air conditioning control, then energy conservation and comfortable air conditioning can be achieved, but recognition precision is low leading to inefficient operations
Solution Approach 1:
The system displays the thermal image to the user and accepts feedback responses about the recognition results. This feedback loop allows the system to learn from user corrections and improve recognition precision over time, directly addressing the low accuracy problem while maintaining operational efficiency.
Solution Approach 2:
The system performs preliminary object identification and displays results before final air conditioning control decisions are made. This preliminary action allows users to verify and correct recognition results, ensuring higher accuracy in the final control decisions without significantly delaying the air conditioning response.
2Extent of automation
If automated object identification is implemented, then air conditioning control can be automated, but recognition accuracy is insufficient
Solution Approach 1:
The system maintains automated operation while incorporating user feedback to correct identification errors. The processor automatically adjusts recognition algorithms based on user responses, preserving automation benefits while progressively improving identification accuracy through learned corrections.
Solution Approach 2:
The system automatically learns from user feedback and improves its own recognition capabilities without requiring manual reconfiguration. The processor self-adjusts identification parameters based on accumulated feedback, enabling the system to serve itself while improving accuracy over time.
3Measurement precision
If user feedback mechanism is added, then recognition precision can be improved, but system complexity increases
Solution Approach 1:
The display device serves multiple functions: it displays thermal images for user review, presents recognition results for verification, and acts as an input interface for user feedback. This multi-functionality reduces the need for separate dedicated components, minimizing system complexity while enabling accuracy improvement through feedback.
Solution Approach 2:
The feedback collection function is merged with the existing display interface. The same display device that shows thermal images also collects user responses, eliminating the need for separate feedback input hardware and reducing overall system complexity while maintaining improved recognition capabilities.
Data Source
AI summary
A sensing method includes acquiring a thermal image of an object space, identifying an object within the object space included in the thermal image, based on the acquired thermal image, presenting to a user the thermal image to which information, indicating identification results of the identifying, has been added, and accepting a response as to the presented thermal image to which the information has been added. And at least one of the acquiring, the identifying, the presenting, and the accepting is performed by a processor.