Hand Gesture detection in smart IoT devices – This demo uses artificial intelligence (AI) to implement hand gesture detection algorithm. FPGAs have parallel data processing ability, making them more power efficient at such tasks compared to a microprocessor.
Always-on, local intelligence improves security – Designing AI to the network edge with an iCE40 UltraPlus FPGA can dramatically lower power consumption for always-on operation while reducing response time. Keeping processing local also improves security.
Compact CNN in a tiny FPGA – The Lattice inference engine with VGG like CNN architecture is implemented in a 48-pin QFN package on a low cost UPduino 2.0 board.