Hoon Choi, Fellow at Lattice Semiconductor, presented the “Machine-Learning-Based Perception on a Tiny, Low-Power FPGA” tutorial at the September 2020 Embedded Vision Summit.
In this tutorial, Choi presents a set of machine-learning-based perception solutions that his company implemented on a tiny (5.4 mm2 package), low-power FPGA. These solutions include hand gesture classification, human detection and counting, local face identification, location feature extraction, front-facing human detection and shoulder surfing detection, among others.
To view the rest of the 2020 Embedded Vision Summit videos, visit https://www.edge-ai-vision.com/september-2020-embedded-vision-summit-replay/.
Register for the 2021 Embedded Vision Summit here.
