Read the indicator (meter) value using CNN regression with pre-trained AlexNet
https://github.com/mathworks/Read-the-indicator-value-using-Deep-Learning
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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
Citar como
Takuji Fukumoto (2026). Read the indicator value using Deep Learning (https://github.com/mathworks/Read-the-indicator-value-using-Deep-Learning/releases/tag/1.0.1), GitHub. Recuperado .
Agradecimientos
Inspirado por: Deep Learning Toolbox Model for AlexNet Network
Información general
- Versión 1.0.1 (5,46 MB)
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Ver licencia en GitHub
Compatibilidad con la versión de MATLAB
- Compatible con R2019a
Compatibilidad con las plataformas
- Windows
- macOS
- Linux
| Versión | Publicado | Notas de la versión | Action |
|---|---|---|---|
| 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 |