项目作者: malakar-soham

项目描述 :
Detecting Faults and Measuring Severity in Welding using Radiographic Images
高级语言: Python
项目地址: git://github.com/malakar-soham/cnn-in-welding.git
创建时间: 2020-07-10T06:40:22Z
项目社区:https://github.com/malakar-soham/cnn-in-welding

开源协议:

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Detecting Welding Defects in Steel Plates using Computer Vision Algorithms

In practice, it is practically impossible to obtain a perfect weld and, in most circumstances, it is not necessary to provide the adequate service functions required. However early detection and segregation is always preferred to mishaps.

Using our algorithms, we can easily detect faults in welding by the images and also measure the severity of each fault precisely. This will further help in faster image recognition and avoid adverse situations from arising. It was found, using Convolutional Neural Networks algorithm and U-Net architecture making the process much more efficient. Resulting in an accuracy of 98.3% by the end of the work.

The following is one such sample:

Raw Input:

img

Ground Truth:

img

Sample Output:

img

To better understand the project click @malakar_soham/detecting-welding-defects-in-steel-plates-using-computer-vision-algorithms-98b1fb0da5e9">here

Co-Authors

Soham Malakar:
GitHub | LinkedIn

Swastik Malakar:
Github | LinkedIn