Machine vision that uses artificial intelligence (AI) is omnipresent in today’s industries and products, including transportation, medical diagnosis, search engines, shopping, marketing, autonomous vehicles, social media, remote sensing, and many more. Computer vision-based techniques can be used to solve large scale problems - problems that are out of reach of human capability given their complexity to both models and solve. We’ll take these concepts and apply them to Nuvietown: Farm Edition, a scaled-down futuristic mini-farm. This Summer, we will focus our efforts around AI for Nuvietown’s agriculture and food systems. We will use GPS guidance, sensors, robotics, autonomous vehicles, control systems, automated hardware, algorithms for creating efficient routing, survey instruments, and investigate single-robot and multi-robot behaviors. We will also explore precision agriculture and automation solutions for small farms.
In this studio, we’ll begin by discussing what it means to have machine intelligence. We’ll go deep into exploring computer vision algorithms via lane detection, image processing with OpenCV, an intro to linear algebra, as well as simple robotics. Get ready to dive into deeper learning, and apply it hands-on in Nuvietown: Farm Edition!
Machine Learning (AI, Deep Learning, Neural Networks)
Physics (Electricity, Magnetism)
Robotics (Arduino, Sensors, Actuators)
- Enrolling students must be any of the following:
- High School Student
- Post-High School Gap Year Student
- Students must have prior programming experience