Unlock instant, AI-driven research and patent intelligence for your innovation.

Picture fault diagnosis method, device and system

A fault diagnosis and image technology, applied in neural learning methods, image communication, television, etc., can solve the problem of low image accuracy

Active Publication Date: 2020-06-02
HANGZHOU HIKVISION DIGITAL TECH
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the accuracy of fault detection on images is currently low.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Picture fault diagnosis method, device and system
  • Picture fault diagnosis method, device and system
  • Picture fault diagnosis method, device and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0051] Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the following exemplary embodiments do not represent all implementations consistent with this application. Rather, they are merely examples of apparatuses and methods consistent with aspects of the present application as recited in the appended claims.

[0052] Cameras can be used to shoot videos and are widely used in many fields. For example, cameras can be used for video surveillance in the field of surveillance. For example, cameras can be deployed in surveillance scenarios such as roads, buildings, or stations, and the cameras can capture video of the surveillance scenario, send the video to the control center, and play the video i...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention relates to a picture fault diagnosis method, device and system, and belongs to the field of video monitoring. The method comprises the following steps: carrying out fault detection on Mto-be-detected pictures to obtain N candidate fault pictures, wherein M is an integer larger than 0, and N is an integer larger than 0 and smaller than or equal to M; sequentially inputting the N candidate fault pictures into a first deep learning network for secondary detection, and obtaining a detection result of the candidate fault picture, wherein the detection result is whether the candidatefault picture is a fault picture or a normal picture, and the first deep learning network is used for detecting whether the input candidate fault picture is a fault picture. According to the method disclosed in the invention, picture detection precision can be improved.

Description

technical field [0001] The present application relates to the field of video surveillance, in particular to a method, device and system for fault diagnosis of pictures. Background technique [0002] With the development of technology and the improvement of social and economic levels, more and more cameras are applied to monitoring scenarios such as roads, buildings, and stations. During the long-term use of the camera, malfunctions such as blurring, snow spots, abnormal brightness, and color cast may occur due to man-made damage or other physical factors. [0003] At present, the fault detection can be performed on the pictures taken by the camera. When fault pictures are detected from the pictures taken by the camera, and the number of fault pictures reaches a certain number, the fault of the camera can be determined. However, the accuracy of fault detection on images is currently low. Contents of the invention [0004] In order to improve the accuracy of fault detectio...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): H04N17/00G06N3/04G06N3/08
CPCH04N17/002G06N3/08G06N3/045
Inventor 黄崇基
Owner HANGZHOU HIKVISION DIGITAL TECH