Intelligent closestool and image acquisition method and health monitoring method and system thereof

CN121865083APending Publication Date: 2026-04-14ROCA SANITARYWARE SUZHOU CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-12-31
Publication Date
2026-04-14

AI Technical Summary

Technical Problem

Existing smart toilets struggle to balance the complexity of user behavior and environmental conditions in their image acquisition process design, resulting in unstable image quality and affecting the accuracy of subsequent health monitoring.

Method used

By monitoring user behavior through pressure sensors and combining the dual triggering logic of liquid level and lighting environment, the system intelligently determines the best shooting time, uses a fill light to ensure the clarity of image acquisition, and uses low-resolution preview images to quickly judge the environmental conditions and perform high-resolution shooting when the conditions are met.

Benefits of technology

This ensured the clarity and stability of each collected excrement image, providing a reliable data foundation for subsequent health analysis and improving the accuracy and reliability of the analysis results.

✦ Generated by Eureka AI based on patent content.

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    Figure CN121865083A_ABST
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Abstract

The invention discloses a closestool and an image acquisition method and a health monitoring method and system thereof. The acquisition method comprises the following steps: acquiring a plurality of preview images of a liquid level area in the closestool in response to a seat leaving trigger signal of the intelligent closestool; determining the liquid level state in the closestool based on the pixel difference of the plurality of preview images; the liquid level state comprises liquid level calm or liquid level fluctuation; when the liquid level area is in a calm liquid level and the light environment where the liquid level area is located meets a preset condition, an image of excrement in the closestool is collected. According to the method, the optimal shooting opportunity is intelligently judged through dual condition trigger logic of'user behavior and environment state ', image blurring caused by liquid level fluctuation is avoided, it is ensured that an excrement image obtained each time has clear, stable and consistent visual quality, and a reliable data basis is provided for subsequent health analysis based on excrement.
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