Senior Design Day

Fire-Bot is an autonomous rover that can traverse and environment freely. It has two machine learning models on board that detects screams and people through smoke through IR. The rover allows firefighters to find people in danger faster and safer than blindly entering a building they are not familiar with.

The Fire-Bot Team will be responsible for the following: optimization if the ML models on Jetson Nanos from running on the CPU to their GPU, a depth camera and LiDAR subsystem will work in a parallel to enable the development of autonomous capabilities, and creation of a remote interface that displays optimized data through a GUI on a website via a local network.

This electrical engineering project is an electric field mill that will record real-time changes in atmospheric electrostatic fields in varying weather conditions to predict lightinng. It measures the electric field every second through a capacitor that is periodically exposed to the atmosphere. It must be built to withstand rainy weather and be able to record data for up to 24 hours at a time to an SD card.

The PenBot product is a small autonomous vehicle that moves precisely on a flat poster board or whiteboard surface while creating line drawings. The PenBot’s movement is software-controlled to first create simple shapes such as a circle, square, and triangle, and then progress to abstract, portrait, geometric and landscape drawings. The robot will be equipped with Wifi capabilities to allow for a digital user interface with drawings select and motion control features when it is not in its autonomous mode.

The Neuroergonomics project seeks to investigate how EEG data can be utilized to detect and predict cognitive fatigue in manual material handling workers. As the workforce progresses throughout their workday, the employees become physically and mentally fatigued which can affect their work performance. Using an electroencephalography (EEG) device, brain data can be recorded as s subject simulates a work task. Understanding when an employee becomes mentally fatigued and how this can affect their physical performance is crucial in improving productivity in repetitive tasks on a factory floor.

This Manufacturing Engineering project utilizes Solidworks to design and optimize an Atmospheric Water Generation (AWG) test platform using Peltier devices. Multiple configurations and heat transfer mechanisms are to be considered to produce the maximum amount of water using a minimum amount of electrical power. This semester, the team was focused on fabricating their device using a combination of machining and 3D printing based on the work conducted in the previous semester.