Part 6/10:
However, the Raspberry Pi's performance limitations often become apparent during AI processing tasks. Although the standard YOLO model can perform basic detection, its efficiency can be significantly improved by using optimized models designed for less powerful hardware. This is where the addition of an AI processing unit becomes a game-changer, allowing developers to leverage deeper machine learning capabilities.
Expanding with the AI Processing Unit
One of the most significant updates to the Raspberry Pi ecosystem is the ability to add an AI Processing Unit directly. Once the dedicated hardware is connected, users can transition from CPU-bound tasks to offloading AI computations, drastically improving frame rates and processing power.