AI REDGIO 5.0 Open Hardware Platform: Difference between revisions
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The main proof of concept to validate the progress of this task has been performed through the successful integration of a rudimentary artificial intelligence (AI) model on the Open Hardware Platform, with the ESP32 development board as the basis. | The main proof of concept to validate the progress of this task has been performed through the successful integration of a rudimentary artificial intelligence (AI) model on the Open Hardware Platform, with the ESP32 development board as the basis. | ||
This example is a proof of concept and is an example of developing AI models for manufacturing by using an artificial intelligence model to make air quality predictions on the data that a sensor would send via MQTT, as shown in the following Figure | This example is a proof of concept and is an example of developing AI models for manufacturing by using an artificial intelligence model to make air quality predictions on the data that a sensor would send via MQTT, as shown in the following Figure: | ||
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Revision as of 08:05, 13 November 2023
A page that serves as a basic template for the asset pages
Asset Description
The Open Hardware Platform for Embedded Artificial Intelligence and AI-at-the-Edge represents a significant advancement in technology and artificial intelligence (AI). This platform is based on open hardware, which allows users and developers to modify and enhance hardware according to their specific needs. The Open Hardware Platform for Embedded AI and AI-at-the-Edge have a wide range of applications; it can be used in autonomous drones for image processing and real-time decision-making, in personal assistance devices for voice recognition and real-time interaction, or industrial sensors for monitoring and independent decision making.
AI at the Edge with the AI REDGIO 5.0 Open Hardware Platform: Proof-of-Concept
The main proof of concept to validate the progress of this task has been performed through the successful integration of a rudimentary artificial intelligence (AI) model on the Open Hardware Platform, with the ESP32 development board as the basis. This example is a proof of concept and is an example of developing AI models for manufacturing by using an artificial intelligence model to make air quality predictions on the data that a sensor would send via MQTT, as shown in the following Figure:
To achieve this, the first step is to generate an artificial intelligence model that is capable of making the necessary predictions. In the context of the current example, the model used is an AI model designed and developed as a tailor-made tool to predict air quality parameters. Going deeper, its capabilities extend to predicting the concentration of ozone (O3) that could be observed in the next hour. This prediction is based on a comprehensive analysis of reported values of particulate matter such as PM10 and PM2.5, gases such as nitrogen dioxide (NO2), sulphur dioxide (SO2), ozone (O3) and carbon monoxide (CO). Once the phases of data preparation, model training and model generation and optimisation have been passed, the last two steps, generate the Open Hardware code, compilation and finally the deployment on hardware, are still to be tested on real Open Hardware.
Features
| Feature | Description |
|---|---|
| Example | Example |
| Example | Example |
| Example | Example |
Usage Walkthrough
Purpose of Bunch 1 of Steps
- Bunch 1 - Step 1
- Bunch 1 - Step 2
Purpose of Bunch 2 of Steps
- Bunch 2 - Step 1
- Bunch 2 - Step 1 - Substep 1
- Bunch 2 - Step 1 - Substep 2
External Resources
- Created by [HOPU]
- Contact [email]