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Title:
FAULT LOCATING PLATFORM BASED ON FACIAL FEATURE ANALYSIS
Document Type and Number:
WIPO Patent Application WO/2024/066129
Kind Code:
A1
Abstract:
The present invention relates to a fault locating platform based on facial feature analysis. The platform comprises: a data capturing device, which is arranged at a cloud server end and is used for capturing a picture that is currently acquired by a surveillance camera mechanism; an information analysis device, which is used for, on the basis of each multi-component value corresponding to each pixel point in the currently acquired picture and the total number of pixel units used by the surveillance camera mechanism, intelligently analyzing an aperture value, an ISO value and a shutter speed value used when the currently acquired picture is acquired; and an error identification device, which is used for determining whether a sensor for recording the aperture, the ISO or the shutter speed fails. By means of the present invention, a sensor fault parsing mechanism based on a feedforward neural network is designed at a cloud end, such that each camera parameter corresponding to picture content acquired in real time is intelligently parsed on the basis of the picture content acquired in real time and the total number of effective pixel units of a surveillance camera mechanism, thereby realizing intelligent determination on whether a local sensor of the surveillance camera mechanism fails.

Inventors:
ZHENG XIAOHAN (CN)
Application Number:
PCT/CN2023/070625
Publication Date:
April 04, 2024
Filing Date:
January 05, 2023
Export Citation:
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Assignee:
ZHENG XIAOHAN (CN)
International Classes:
H04N17/06
Domestic Patent References:
WO2014148161A12014-09-25
Foreign References:
JP2011137916A2011-07-14
CN106791420A2017-05-31
JPH1127704A1999-01-29
JP2013083864A2013-05-09
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