Image Analysis on Compact Low-Powered Machines

World Maker Faire New York 2018

September 22nd-23rd

Presentation Robotics

In solving a victim recognition simulation presented by the RoboCup Junior Rescue Maze Competition, we developed an innovative compact hardware solution along with a custom designed letter-recognition algorithm, capable of running with high speed performance on low cost and small sized devices.

Image Analysis on Compact Low-Powered Machines project image
Ethan Wu Maker Picture

Ethan Wu

Ethan Wu is a rising 11th grader at the Bridgewater-Raritan High School. He has been doing robotics since he was in 6th grade. He loves just about anything computers-related, including web design, algorithms programming, CGI art, Linux, and Mechatronics. He started to make his own PCB and found new enjoyment in embedded system programming since 8th grade.

https://thebeings.netlify.com/
Daniel Xue Maker Picture

Daniel Xue

Daniel Xue is a rising 10th grader at the Montgomery High School in NJ. He has been learning about programming and robotics since he was in 6th grade. He loves just about anything computers-related, especially in algorithms, computer science, and mechatronics. Over the years, he's enjoyed participating in various computer and robotics related activities, including USACO, RoboCupJunior, and more.

https://thebeings.netlify.com/
Categories: Robotics, Arduino, Artificial Intelligence, Microcontrollers, Young Makers

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