Vision-in-the-loop Architecture

We need to perform Design-Space Exploration for a vision-in-the-loop setup which detects an object and keeps it in the middle of the frame. However, we need to take several topics into consideration:

• ARM on Raspberry Pi $vs$ ARM on DE10-Nano
• Lattice ICE40 $vs$ Cyclone 5
• Software $vs$ Hardware
• Integer $vs$ Floating point precision in the control loop
• Development time $vs$ performance
• Source quality (RAW / JPEG / $\dots$) $vs$ required processing power

The current questions we should have an answer to are:

1. The communication at the software side can be handled in different ways (polling, interrupts, etc) and how does this influence the performance?
2. Measure interesting details of the implementation (speed, overhead, resource usage, etc), which can be used later on.