FDM 3D Printer Automation Cell (Personal Project)

Pictured below is my FDM 3D Printer Automation Cell. The purpose of this project is to simulate a lights-out manufacturing environment by allowing the printer to be loaded and unloaded without intervention.

This system is controlled by a Beckhoff PLC which is programmed in Structured Text. At the completion of a print the main linear stage will move over to the printer, grab the build plate, move it to an empty pallet pool slot, grab a fresh build plate from the other pallet pool slot, place it on the printer, and allow for a new print to begin.

Bayesian Optimization Based HSV tuner (Personal Project)

Developed a computer vision project using OpenCV and Bayesian Optimization to tune HSV color bounds for detecting a green target in images. Implemented masking and contour detection to isolate the target, calculate its area, and compare it to a known reference. Designed an inverse loss function so the Bayesian optimizer could iteratively navigate a 6-dimensional parameter space, improving detection accuracy over successive iterations.

The contour formed poorly outlines the green portion of the image and is the result of poorly tuned HSV parameters.

The contour formed cleanly outlines the green portion of the image and is the result of well-tuned HSV parameters.

Under Water ROV (Team Project)

The project below is a submersible ROV my team and I made for Orange Coast College Marine Science Students to conduct research in Newport Harbor. This ROV was designed with the intent of carrying sensors to monitor water parameters as well as a water sample collector.

I was responsible for leading a team of 8 students to design and build this ROV. Additionally, I designed the heavy configuration frame pictured below and created a manufacturing plan so we could feasibly produce multiple configurations.