Machine Vision Showcase + Final Project Kickoff

Today

  • Machine Vision Showcase
  • Final Project Kick-Off

For Next Time

  • Turn in your Machine Vision Project, due on Wednesday November 12th at 7PM
  • Complete YOGA Phase 1 by Friday 14th at 7PM.
    • Note: please consider this assignment before class on Thursday to help with the team formation and project proposal phase.
  • Review the Final Project Documents.
    • Thursday in-class we will have time for team formation and project proposal development
    • Project proposals will be due Monday November 17th at 1PM (before class) to be reviewed with you in class.
    • Milestone 1 will be due Sunday November 23rd at 7PM
    • Milestone 2 will be due Monday December 8th at 7PM
    • The Final Project will be due Tuesday December 16th at 7PM
  • Consider whether there is feedback you’d like to share about the class

Machine Vision Showcase

The day has arrived – the conclusion of our Machine Vision unit! We will be dividing between rooms to cover everyone’s work. You can view the final slides for Room 1 and Room 2 at the hyperlinks.

Final Project Kick-Off

Tday we’ll be kicking off the Final Project! Some changes from the machine vision unit:

  • The project teams can be up to 5 folks for this assignment
  • There will be 7 class periods dedicated for this project (excluding this one) – 3.5 in-class weeks + Thanksgiving week + the “final events” week
    • All the final materials for this project will be due December 16th at 7PM which is evening of the day of our final event.
    • Beyond the typical demo + code + write-up, you are also asked to create a project portfolio website and prepare two milestone check-ins for this project
  • You are welcome to explore any topic(s) of interest for this project, building on your previous projects or projects in other classes (if building on projects from other classes, do be clear about this in your proposal)
  • The project should very much focus on a robotic system – while I won’t require integration with the Neatos specifically, use of datasets generated from real-platforms or use of other robots is highly encouraged.
    • An implication on this requirement is that most projects will be written as ROS packages.