In this project-based class, students will learn to: (1) build a simple imaging system using the arducam (or similar camera); (2) apply simple and not-so-simple image processing algorithms to your images; (3) build a simple machine-learning algorithm to recognize (classify) objects; and (4) explore unconventional cameras such as lens-free cameras, multi-spectral cameras, depth cameras, etc. The students are expected to work in small teams, and will need to purchase arducam (or similar low cost) camera modules. Prior knowledge of python or matlab (or something similar) is expected. The class is offered in a hybrid format, where meetings in the instructor’s lab and synchronized meetings on zoom will be interspersed throughout the semester. All resources, required code, documentation, papers will be provided. There is no single textbook.

This class is a combination of lectures, project work and independent study.

All student teams are expected to complete a technical (journal quality) paper to be submitted for peer review at the end of the semester.