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Hyperspectral indoor monitoring method based on deep learning, device and equipment

A deep learning and hyperspectral technology, applied in sanitary equipment for toilets, water supply equipment, chemistry, etc., can solve problems such as threats to human health, inability to effectively kill bacteria, etc., and achieve the effect of ensuring safety

Active Publication Date: 2019-09-20
HEREN KEJI SHENZHEN LLC
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  • Abstract
  • Description
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AI Technical Summary

Problems solved by technology

[0005] Based on this, in order to solve the technical problem that the sterilization methods in the prior art cannot effectively kill bacteria and pose a threat to human health to a certain extent, a hyperspectral indoor monitoring method based on deep learning is proposed.

Method used

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  • Hyperspectral indoor monitoring method based on deep learning, device and equipment
  • Hyperspectral indoor monitoring method based on deep learning, device and equipment
  • Hyperspectral indoor monitoring method based on deep learning, device and equipment

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Experimental program
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Embodiment approach

[0119] As an optional implementation, the sterilizing device also includes:

[0120] The obtaining module 605 is used to obtain the harmful bacteria area after the recognition module recognizes the bacteria image based on the artificial neural network model and obtains the bacteria recognition result;

[0121] The first judging module 606 is used to judge whether there are people in the harmful bacteria area;

[0122] The first judging module 606 is also used for judging whether the harmful bacteria area is an area with frequent human activities if there are no people in the harmful bacteria area;

[0123] The determining module 603 is specifically used to determine the radiation intensity value of the ultraviolet light of the LED ultraviolet sterilizing device according to the bacteria identification result when the first judging module 606 judges that the harmful bacteria area belongs to an area with frequent human activities .

[0124] As an optional implementation, the s...

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Abstract

Embodiments of the invention disclose a hyperspectral indoor monitoring method based on deep learning, which comprises: acquiring images of bacteria in a scene to be detected through a hyperspectral camera; recognizing the images of the bacteria through an artificial neural network model to obtain bacteria recognition results; determining radiation intensity of ultraviolet of an LED ultraviolet sterilizing device according to the bacteria recognition results; controlling the LED ultraviolet sterilizing device to kill bacteria with the radiation intensity. The hyperspectral indoor monitoring method based on deep learning is suitable for killing harmful bacteria effectively and can also ensure human health safety.

Description

technical field [0001] The present invention relates to the technical field of intelligent equipment, in particular to a deep learning-based hyperspectral indoor monitoring method, device and equipment. Background technique [0002] As people's requirements for sanitary conditions in their residences are increasing day by day, people's awareness of indoor sterilization is becoming stronger and stronger. [0003] The currently used sterilization methods mainly include natural ventilation, chemical agent spray, and sunlight sterilization. There are many drawbacks in the above traditional sterilization methods. For example, open windows for ventilation, which cannot completely eliminate harmful bacteria, and has high requirements on the weather; another example is chemical agent spray, the chemical composition of the spray fungicide will pose potential hazards to human health; Ultraviolet rays have a good bactericidal effect, but require a sunny outdoor environment, and canno...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61L2/10A61L2/22A61L2/24A61L2/26
CPCA61L2/10A61L2/22A61L2/24A61L2/26A61L2202/14A61L2202/16A61L2202/25
Inventor 王永力舒远王星泽
Owner HEREN KEJI SHENZHEN LLC
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