Read the indicator value using Deep Learning

版本 1.0.1 (5.5 MB) 作者: Takuji Fukumoto
Read the indicator (meter) value using CNN regression with pre-trained AlexNet
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更新时间 2020/12/25
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In factories and other workplaces, there are many scenes where people read the meter value visually. If you work for it for long time, you get stressed and human error can occur. You may try rules-based image processing. but it is not easy to create a robust algorithm that can handle any environment.

In this sample code, the meter value obtained by the camera is predicted using deep learning regression.
I customized the pre-trained CNN network (AlexNet) for regression and applied the model into the task to read meter values.

You can get the pretrained AlexNet here.
https://jp.mathworks.com/matlabcentral/fileexchange/59133-deep-learning-toolbox-model-for-alexnet-network

[Keyward]
Image processing・Computer Vision・Deep Learning・CNN・Deep Learning・Machine Learning・Regression・Transfer learning

引用格式

Takuji Fukumoto (2024). Read the indicator value using Deep Learning (https://github.com/mathworks/Read-the-indicator-value-using-Deep-Learning/releases/tag/1.0.1), GitHub. 检索时间: .

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创建方式 R2019a
兼容 R2019a
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版本 已发布 发行说明
1.0.1

See release notes for this release on GitHub: https://github.com/mathworks/Read-the-indicator-value-using-Deep-Learning/releases/tag/1.0.1
1.0.0

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要查看或报告此来自 GitHub 的附加功能中的问题，请访问其 GitHub 仓库。