Read the indicator value using Deep Learning

Read the indicator (meter) value using CNN regression with pre-trained AlexNet
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Actualizado 25 dic 2020

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 (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. Recuperado .

Compatibilidad con la versión de MATLAB
Se creó con R2019a
Compatible con R2019a
Compatibilidad con las plataformas
Windows macOS Linux
Categorías
Más información sobre Image Data Workflows en Help Center y MATLAB Answers.
Agradecimientos

Inspirado por: Deep Learning Toolbox Model for AlexNet Network

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Versión Publicado Notas de la versión
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

Para consultar o notificar algún problema sobre este complemento de GitHub, visite el repositorio de GitHub.
Para consultar o notificar algún problema sobre este complemento de GitHub, visite el repositorio de GitHub.