DEEP- EVIoT Deep embedded vision using sparse convolutional neural networks

The main purpose of the project is to design and implement an heterogeneous platform consisting of multiple Low Power Graphic processors with deep learning algorithms acceleration capabilities. A software SDK for vision problems using optimized deep sparse coding techniques especially designed for the aforementioned platform will be provided. The significant benefits of the proposed deep eviot system extends to a very wide range of applications from industrial and surgical robotics to autonomous vehicles, smart security cameras and military applications.
Duration: 24 months
Timeline: 2019 – 2020
Project Types: National Research Projects
Funding Agency: Research and Innovation Strategies for Smart Specialisation (RIS3), Region of Western Greece, NSRF 2014-2020
ISI Scientific Coordinator: Dr. Aris S. Lalos