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Excrement analysis and early warning system based on computer vision and intelligent closestool

A computer vision and early warning system technology, applied in computing, image analysis, biological neural network model, etc., can solve the problems of inconvenience, lack of stool analysis and monitoring, easy leakage of user privacy, etc., to achieve privacy protection, high degree of automation, avoid mistakes Triggered effect

Pending Publication Date: 2022-04-08
宁波峰誉科技有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, there is currently no product for analysis and monitoring of feces
In addition, in order to realize part of the monitoring function, the current smart toilet needs to install a camera on the toilet seat or toilet lid, which is easy to leak user privacy
[0003] This shows that above-mentioned existing intelligent toilet obviously still has inconvenience and defect in structure, method and use, and urgently needs to be further improved

Method used

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  • Excrement analysis and early warning system based on computer vision and intelligent closestool
  • Excrement analysis and early warning system based on computer vision and intelligent closestool
  • Excrement analysis and early warning system based on computer vision and intelligent closestool

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Embodiment Construction

[0034] Combining computer vision and Internet of Things technology, the present invention provides a computer vision-based excrement analysis and early warning system for health monitoring, such as figure 1 As shown, it includes a data acquisition system 1 , an image data analysis system 2 , a machine learning training system 3 and a health data storage and analysis system 4 . in:

[0035] The data acquisition system 1 includes an image data acquisition module, and the image data acquisition module mainly uses a camera installed in the smart toilet to automatically collect images inside the toilet; in order to protect privacy, the camera in this embodiment adopts a special installation position and installation angle ,Cooperate figure 2 , 3 As shown, the camera 101 is installed on the bottom of the smart toilet rear seat 102, on the left and / or right side of the spray bar 103, and faces the inner wall of the toilet and the vicinity of the drain hole 104; through this settin...

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PUM

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Abstract

The invention discloses an excrement analysis and early warning system based on computer vision and an intelligent closestool comprising the excrement analysis and early warning system. The excrement analysis and early warning system comprises a data acquisition system, an image data analysis system, a machine learning training system and a health data storage and analysis system, the data acquisition system performs automatic image acquisition on the interior of the closestool by adopting a camera mounted in the intelligent closestool; the image data analysis system is used for receiving the image and sending the image to the machine learning training system for filing; a neural network model pre-constructed by the machine learning training system is used for analyzing the image to obtain an image analysis result of Bristmas classification containing excrement, and then the image analysis result is transmitted to the health data storage and analysis system; and the health data storage and analysis system is used for storing the image analysis result, carrying out long-time dimension analysis and early warning, and meanwhile, can be inquired by a user. The method can be used for health monitoring, has high automation degree and accurate analysis capability, and can protect user privacy.

Description

technical field [0001] The invention relates to the field of intelligent toilets, in particular to a computer vision-based excrement analysis and early warning system and an intelligent toilet. Background technique [0002] With the application of smart home appliances and health concepts in the smart toilet industry. In recent years, there have been some products that can automatically monitor physical health indicators and give user feedback. For example, a smart toilet with analysis and monitoring functions for indicators such as urine, heartbeat, and weight. However, there is currently no product for analysis and monitoring of feces. In addition, in order to realize some monitoring functions of smart toilets at present, cameras need to be installed on the toilet seat or toilet lid, which easily leaks user privacy. [0003] This shows that above-mentioned existing intelligent toilet obviously still has inconvenience and defect in structure, method and use, and urgently...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06F21/60G06F21/62G06N3/04G06N3/08E03D9/00E03D5/10
Inventor 闫雪峰赵亮源洪
Owner 宁波峰誉科技有限公司
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