CSE 325 is a course at ASU where the main project is constructing a small autonomous car. In the class, students use lithium batteries as well as many components for their cars. Our project was to create a system that automates the exchange of used batteries and car parts for fresh ones.

Our goal for this project was to continue work from the previous team on building a working traffic simulator. Through the use of unity we built in more functionality and the ability to connect it to Viple, enabling it to be controlled remotely. After numerous new features and bug fixes, we are ready to push a beta version of our traffic simulator.

This project was meant to help the Agile Coaches within State Farm reduce the manual work they need to do daily. The idea was to create a web application that can be used to take surveys rather than paper copies. Along with this is reporting data about the surveys taken so it dos not need to be placed into an excel sheet and manually reviewed.

Our capstone group was tasked with designing, building, and programming an inverted pendulum control system for General Dynamics Mission Systems. This system maintains a pendulum rod in the upright inverted position by using a rotary encoder, stepper motor, and PID controller. Our project provides a visual platform for General Dynamics Mission Systems to display their software at trade shows.

The Passenger Arrival Analyzer includes a Python algorithm that utilizes TensorFlow and YOLO to scan an inputted video that originates from a camera at Terminal 4 in Phoenix Sky Harbor Airport. This algorithm detects and tracks individuals entering and leaving the TSA terminal lines, then these counts are exported at regular time intervals to a Comma Separated Values (CSV) formatted file. This file is used for data analysis, then characterizes and accounts for errors within the algorithm leading to results that more accurately emulate anticipated results.

An OBD-II Bluetooth unit and accompanying Android application to view diagnostic and car information. Data is read from a vehicle and displayed to Android device in real time.

The purpose of this project was the creation of a graphical user interface for the General Dynamics Mission Systems OKL4 Hypervisor software. This was done to combat the increasing complexity of implementing hypervisor systems using the command line interface and user-written XML files.

Showcase of our work on improving the overall computational capabilities of a program designed to analyze light-spectrum data and make predictions on the atmospheric composition of an exoplanet. Improvements to the program include parallel processing configuration with an NVIDIA Tesla v100 GPU, redesign for scalability, and attempts at reducing the amount of recopied data that is processed. Team consisted of Christian Quintana, Rebecca Martin, Ross Hill, and Sullivan Dupre.

Design and implement an API that allows data transfer between a host computer and FPGA card via the PCIe slot. Data transfer then can leave the card via different peripherals.

The Medical First Response Drone (MFRD) project is a vision to create a first wave of assistance in providing emergency services to people in distress in hard to reach locations. Our goal is to develop various types of payloads that can be useful in a variety of emergency situations, delivered by an autonomous flying drone. One of these payloads is a medical module which will allow the drone to maintain contact with first responders and continuously update officers and/or health workers on the condition of the person in distress.

Our project involved implementing AI capabilities into an AWS Jetbot DeepRacer robot. By using data training and installing various hardware components, the robot should gain the ability to navigate through tracks and obstacles on its own. It was tested during a hackathon as well as various simulations that we put it through.

Investigating ways to add cryptography to an FPGA board, specifically on the Zynq Ultrascale+ MPSoC. Converting the build process to Windows, and figuring out how to communicate between PS and PL layers. This would speed up future cryptographic solutions and increase the security of data being sent to and from computers.

Cloud storage app containerized with Docker using microservice architecture, deployed onto a kubernetes cluster, which was deployed onto (4) raspberry pi 4s!