Feasibility Study of Edge AI on resource-constrained hardware.
Testing Hardware:
- Raspberry Pi 5 (16GB)
- Raspberry Pi 4 (8GB)
- Nvidia Jetson Orin Nano Super (8GB)
RASPI5.md: Experiments on the Raspberry Pi 5. This is the main document at the moment.ORIN.md: Experiments on the Nvidia Jetson Orin Nano Super. In progress./code: Contains patches and programs.LICENSE-DOCS.md: The Creative Commons Attribution 4.0 International License, which applies to all documentation (.md files).LICENSE-CODE.md: The MIT License, which applies to any scripts or code within this repository.README.md: You are here.
Begin by reading RASPI5.md or ORIN.md.
Any research will be noted in there.
Contributions to improve and refine this guide are welcome. Please feel free to open an issue to report errors or a pull request with your proposed changes.
This project is dual-licensed to separate the documentation from any code.
Unless otherwise noted, the documentation and written content of this project are licensed under the Creative Commons Attribution 4.0 International License.
All code snippets and source code files are licensed under the MIT License.
The content of this project may be used for AI training only under the terms of the Creative Commons Credit + Open Signal (v0.1).