Artificial intelligence-based air conditioner
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional AI-based air-conditioners lack the ability to identify and adjust settings based on individual users within a space, leading to inefficient power usage as they consider only temperature differences between indoor and outdoor spaces without accounting for the number or location of internal members.
Innovation Solution
An AI-based air-conditioner equipped with a communication unit and processor that recognizes member data from images, acquires operation data, and autonomously adjusts settings based on individual preferences, using machine learning algorithms to optimize energy consumption and convenience by distinguishing members through face shape, body shape, voice, biometric information, and environment data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If the air-conditioner controls operation based on collective indoor and outdoor temperature without distinguishing individual members, then the control system remains simple, but power loss cannot be effectively reduced because individual user needs and locations are ignored
Solution Approach 1:
The patent segments the control system by identifying and distinguishing individual members within the indoor space using image recognition technology. Each member is detected, identified, and tracked separately, allowing the air-conditioner to provide personalized temperature control for each individual rather than collective control, thereby reducing overall power consumption while adapting to specific user needs.
Solution Approach 2:
The air-conditioner autonomously identifies members through image acquisition devices, automatically tracks their locations and movements, and independently adjusts temperature settings based on detected member presence and characteristics without requiring manual input or complex user interaction,实现ing self-service operation that reduces energy waste.
2Ease of operation
If the air-conditioner uses image recognition and member identification technologies to automatically adjust settings for each individual, then convenience and energy efficiency improve, but the device complexity increases due to additional sensors and processing requirements
Solution Approach 1:
The air-conditioner integrates multiple functions including image acquisition, member identification, location tracking, and automatic temperature control into a single system. The processor handles both image processing for member recognition and environmental control decisions, making the device multi-functional and reducing the need for separate dedicated systems for each function.
Solution Approach 2:
The patent introduces an image acquisition device as an intermediary component that captures visual data of members, which is then processed by the processor to identify and track individuals. This intermediary approach enables automatic member recognition without requiring direct complex interaction between the air-conditioner and users, simplifying the overall system architecture while maintaining advanced functionality.
Data Source
AI summary
An artificial intelligence (AI)-based air conditioner can include a communication unit and a processor. The communication can receive an image including member data from an image acquisition device, where the member data are associated with one or more different members of a member group and are used to distinguish the members from each other. The processor can recognize the member data from the received image, acquire operation data including operation conditions of the air conditioner, which are desired by the members, based on the recognized member data, store member information including the member data and the operation data in a database, analyze the operation conditions of the air conditioner, which are desired by the members, with respect to each member based on the member information corresponding to the member group stored in the database, and autonomously driving the air conditioner for the different members based on the analyzed operation conditions.