Abstract

Real-time Edge Computing Deployment on Railway Applications (Presented by RailVision)

The train world is going through a massive change in order to increase safety and efficiency. One of the ways to do that is by increasing digitalization and implementing more intelligent systems for safety, maintenance and efficient operation to pave the way for autonomous train operating. RailVision company is a pioneer of implementing AI/DL technologies into this market and already involved in revolutionary projects deploying this technology. In this talk we will show a safety-related train application with maintenance capabilities that uses edge computing. Real-time considerations will be presented as a part of an overall view of deep learning implementation in a system. The connection between the training phase through optimization to the inference will also be discussed. Demos of edge computing capabilities will be presented.


Session No: SIL8151
Speaker: Shahar Hania
Type:

Sponsored Sessions and NVIDIA Talks

Date: Thursday - October 18, 2018 04:00 PM - 04:25 PM
Location: Hall H
Topics: Deep Learning and AI, Autonomous Vehicle Technologies
Industry: Automotive / Transportation

The train world is going through a massive change in order to increase safety and efficiency. One of the ways to do that is by increasing digitalization and implementing more intelligent systems for safety, maintenance and efficient operation to pave the way for autonomous train operating. RailVision company is a pioneer of implementing AI/DL technologies into this market and already involved in revolutionary projects deploying this technology. In this talk we will show a safety-related train application with maintenance capabilities that uses edge computing. Real-time considerations will be presented as a part of an overall view of deep learning implementation in a system. The connection between the training phase through optimization to the inference will also be discussed. Demos of edge computing capabilities will be presented.