Smart Water Supply Using Gesture Detection for Intuitive Flow Control
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Solution Overview
Problem
Conventional smart water heaters require users to perform specific gestures to control the water stream and adjust its amount, which is inconvenient and unintuitive.
Innovation Solution
A smart water supplying method and system that detects external objects using modules like infrared or depth cameras to estimate characteristic data, determining water supply signals to control the discharge of a real stream based on user gestures, allowing for intuitive adjustment of water flow and temperature.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If conventional smart water heater requires specific gestures to control water stream, then the control function is achieved, but the ease of operation deteriorates
Solution Approach 1:
The system automatically detects external objects and estimates their characteristic data (such as hand size, gesture type) without requiring users to perform specific predefined gestures. The water supply amount is automatically adjusted based on the detected characteristics, making the system self-adaptive and eliminating the need for complex gesture sequences.
Solution Approach 2:
The patent replaces mechanical gesture recognition systems with optical detection modules (such as depth cameras or infrared sensors) that can estimate characteristic data of external objects. This substitution enables more intuitive and diverse control methods while improving ease of operation.
2Adaptability or versatility
If conventional smart water heater cannot directly customize water amount, then the device complexity is reduced, but the adaptability deteriorates
Solution Approach 1:
The system dynamically adjusts the water supply amount based on real-time detection of external object characteristics. The control component continuously monitors detected characteristic data and automatically customizes the water discharge amount, enabling the system to adapt to different user needs without manual intervention.
Solution Approach 2:
The patent changes the control parameter from fixed gesture-based commands to continuous characteristic data estimation. By estimating parameters such as hand size, gesture type, and object distance, the system can directly customize the water supply amount to match user requirements, significantly improving adaptability.
3Loss of time
If additional gestures are required to adjust water amount, then the control precision is improved, but the loss of time increases
Solution Approach 1:
The system performs preliminary detection and estimation of external object characteristics before the user actually needs water. By continuously monitoring the detection range and estimating characteristic data in advance, the system is ready to immediately provide the appropriate water supply amount when needed, eliminating time loss associated with additional gestures.
Data Source
AI summary
The disclosure provides a smart water supplying method and a smart water supply. The method includes: detecting an external object to obtain a plurality of detection data; estimating at least one characteristic data of the external object according to the detection data; determining at least one water supplying signal according to the characteristic data of the external object; and providing a real stream according to the water supplying signal.