Deploying ML Models on Edge Devices



Conclusion

In conclusion, as we wrap up this course, we've taken you on an exhilarating journey into the realm of deploying machine learning models using the Arduino Nano 33 BLE Sense and Open MV Cam H7.
We began by introducing you to the essential hardware components, equipping you with the knowledge needed for this exciting adventure.
Along the way, we've guided you in building foundational machine learning models, ensuring you have a comprehensive grasp of the entire process.
As you embark on your exploration of deploying machine learning models on edge devices, we encourage you to consider the exciting addition of object detection to your toolkit.
This enhancement not only enriches your camera trap application but also allows you to gather valuable data on animal size and the presence of multiple animals within a single frame. With these expanded capabilities, your journey in the world of edge-based machine learning becomes even more dynamic and promising.



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