This project develops a predictive maintenance system for Bay 3030 in Purdue’s Dudley Smart Factory. Using IoT sensors, Kepware connectivity, and AWS cloud services, we collect real-time production data and visualize key performance metrics through an interactive QuickSight dashboard. An AI assistant, TROY, analyzes trends, explains anomalies, forecasts failures, and supports troubleshooting. Together, these tools provide a unified, data-driven solution that improves machine reliability, reduces downtime, and enhances operational efficiency.

This project is a dynamometer controller designed for the Formula SAE team to use on their custom engine dynamometer. In order to improve efficiency and accuracy, a PCB was designed to communicate with the Engine Control Unit and output stepper control signals to a stepper driver. This PCB uses an STM32 C-series microprocessor, has CAN bus communication via a CAN transceiver, has digital stepper control pins for step and direction, has 6x 12V tolerant digital input pins using a hex inverting buffer, and has 4x 5V analog sensors pins for additional analog sensor inputs.

This project will focus on developing a health monitoring device that will observe the bio-potentials of animals.  For the early stages, the primary subjects will be chickens. The device’s purpose with chickens is to observe their environment and behaviors and understand their contribution to keel bone breakage. This project will be a continuation of the same project by a previous team, picking up where they left off. The device must have a small form factor, similar to a smartwatch.

This project utilizes delay-and-sum beamforming techniques in conjunction with microphones and speakers to localize sound sources within a set enclosure surrounded by a microphone array. The purpose is to emulate a chicken coop, filtering out unnecessary noise to isolate chicken vocalizations that indicate upsets such as illness and then locate the chicken for peace of mind of the farmer.

The project will be designing and building an attachment for washing machines and dishwashers to
destroy the PVA from laundry and dishwashing pods. The method developed reacts the PVA
contaminated water with a UV activated catalyst. This method will be applied to an attachment that
will react to the expelled water from the machines before they reach the water sewers.

Schweitzer Engineering Labs is a company that specializes in many technologies, mainly in the energy field. The specific office for this project makes and distributes Coaxial communication cable and uses a 15-year-old custom cable pulling machine to wind said cable. The goal for this project is to have a new system that has high torque capabilities to pull the heavy-duty coaxial cables more efficiently and faster. The current machine has safety and ergonomic risks and is said to operate on an obsolete system.

The Asparagus Harvesting Robot is a collaborative capstone project between Purdue University and UTEC (Lima, Peru) focused on automating the harvest of green asparagus in Peruvian fields. The asparagus industry currently depends on slow, physically demanding manual labor that leads to worker fatigue, ergonomic injuries, rising labor costs, and inconsistent product quality.

The Atmospheric Redox Exchange Sensor Project, also known as the Wearable CO₂ Sensor Project, focuses on the development of a compact, head-mounted system designed to monitor atmospheric gas exchange with high precision. The system integrates client-supplied carbon dioxide (CO₂) sensors onto a printed circuit board (PCB) and wirelessly transmits real-time sensor data to a digital interface accessible via a computer or mobile device.