Use Hand Gesture detection to enable smart IoT devices – The hand gesture detection reference design enables systems to detect open hand / closed hand gestures using compact Convolutional Neural Network (CNN) running on the iCE40 UltraPlus FPGA. Designers can retrain the same network with an updated training model using the deep learning framework, Caffe to detect any hand gesture of interest.
Ultra Low Power Consumption enables new applications – Systems can now enable artificial intelligence with an always-on image sensor, while consuming less than 3.3 mW of average active power.
Production-priced in a tiny package – The complete inference engine is implemented in the 5.5 mm2 iCE40 UltraPlus-5K FPGA and works with various popular image sensors. The reference design’s functionality has been validated with Himax’s HM01B0 low cost / power image sensor.