Marcus Hurt's Projects

Environmental Sensor Array

Project Duration: January 2024 - Present

• Developed an environmental sensor array to monitor and analyze key environmental factors such as temperature, humidity, air quality, etc.
• Utilized Arduino and Raspberry Pi for data collection and analysis, incorporating Python for data processing and Node.js for the backend.
• Project is open for contributions and further development on GitHub.

Thrust Vector Controlled (TVC) Hopper

August 2022 - December 2022

• Created a Thrust Vector Controlled hopper powered by an Electric Ducted Fan (EDF)
• Designed and tested power and flight computer PCBs to achieve flight with altitude and attitude control
• Developed control and telemetry TCP server hosted on a Raspberry Pi

Forest Health Sensor Project

August 2021 - December 2021

• Created embedded sensor array to monitor and track forest health including forest fires
• Monitored CO2 levels, temperature, and GPS location with I2C-connected sensors
• Implemented cloud communications via LTE and LoRa feather modules using UART
• Relayed data from arrays to a central hub using LoRa modules
• Demonstrated ability to expand sensor connections over SPI, I2C, or UART

Autonomous Quadcopter Project

August 2018 – December 2018

• Led a four-person team programming an autonomous quadcopter to navigate obstacles
• Implemented Autonomous navigation using PID controls, Ardupilot and Mission Planner