Put open source to work
July 16–17, 2018: Training & Tutorials
July 18–19, 2018: Conference
Portland, OR
Rob Reilly

Rob Reilly
Independent Consultant, Writer, and Speaker, Rob "drtorq" Reilly

@robreilly

Rob “Dr. Torq” Reilly is an independent consultant, writer, and speaker specializing in Linux, physical computing, hardware hacking, the tech media, and the DIY/Maker movement. He provides a variety of engineering and business services to individual clients and companies. As a veteran “how-to” guy, Dr. Torq has authored hundreds of feature-length articles for top-tier tech media and print outlets and presented tech talks at conferences and industry venues such as OSCON, FETC, Fossettcon and the Embedded Systems Conference. His Off-the-Shelf Hacker column runs weekly on thenewstack.io. Rob holds a BS in mechanical technology from Purdue University. He first used the Unix command line in 1981. Contact him at doc@drtorq.com or 407-718-3274.

Sessions

11:00am11:40am Thursday, July 19, 2018
Edge computing
Location: E146
Level: Intermediate
Rob Reilly (Rob "drtorq" Reilly)
Average rating: **...
(2.00, 2 ratings)
Rob Reilly demonstrates how to combine Linux, physical computing, and practical application into an attention-grabbing, steampunk-themed, wearable conference badge. Rob walks you through the motivation, idea generation, research, prototyping, build, challenges, and use. And watch for it: he'll wear the badge into the session and then use it to run his tech-talk slide presentation. Read more.
4:15pm4:55pm Thursday, July 19, 2018
Artificial intelligence
Location: D137/138
Level: Beginner
Rob Reilly (Rob "drtorq" Reilly)
Average rating: ****.
(4.00, 3 ratings)
Rob Reilly explains how he brought Hedley, his robotic skull, to life. Hedley uses a JeVois smart machine vision sensor and artificial intelligence algorithms (developed by Laurent Itti) to track subjects as they move around in the skull's field of view. Come meet Hedley and learn about the latest developments in open source sensors, AI algorithms, and Linux-based physical computing. Read more.