[lucas.alvarez96]

So you want to replace the Jetson TK1, a full SoC featuring a NVIDIA Kepler GPU with 192 CUDA cores, a 2.32GHz ARM quad-core Cortex-A15 CPU, 2GB of DDR3 RAM, 16GB eMMC besides countless peripherals all for $192 market price for an OpenMV cam with a 180MHz processor, 2 MB flash memory, 256 kB RAM and the limitation of only programming with Micro Python at a $70 market price?

I mean I get where you're coming from with the concern on setting up such a complex system on the Jetson, but in my 4 seasons of competition, I've never felt that FIRST has had the need to simplify any aspect of the competition. After the incredible projects we've seen released by the community in the last years (Cheesy Vision and their path planner, the 971 state machines, this year's OpenCV vision code for a driver station and many more), I believe that the best path for students and mentors involved in the control system for their teams should be adopting the greatest and latest in tech from the industry. Students in general have shown their fierce interest in using these technologies and I think that limiting their exposure to fields such as computer vision or embedded computing with these products, which implement tech such as Micro Python for getting to the rookie users in the market, will severely limit the learning possibilities for them.