Embedded Vision

Machine-Learning-Based Perception on a Tiny, Low-Power FPGA

Hoon Choi, Fellow at Lattice Semiconductor, presents the “Machine-Learning-Based Perception on a Tiny, Low-Power FPGA” tutorial.
April 19, 2021

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.

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