The problem we are trying to solve is to create an educational tool for middle to high school students to display Endress+Hauser (E+H) sensors while also teaching about the Science Technology Engineering and Mathematics (STEM) Field. Educational aids like this are usually placed in museums or science centers and are location specific due to their large size. Our project is to make an educational device that integrates the Microbits kit and E+H sensors.

This project aims to simulate and train the designed hardware-based Spiking Neural Network (SNN) to get the optimized
synaptic weights for efficient and effective performance. We set up the simulation environment necessary for training using Python and Brian2, a Python library specialized for SNNs. The model was used to simulate the dynamic behavior of neurons and synapses to understand their interactions and overall network behavior. We applied a training algorithm to optimize the synaptic weights and improve network performance. 

This project centers on developing a low-power analog spiking neural network (SNN) to control an autonomous, line-following electric vehicle. The team first verified the behavior of a digital FPGA-based SNN, then replicated its function using a breadboard-based analog circuit. An Arduino was used to interpret spike frequency data from the SNN somas and convert it into motor control signals. The system responds in real time, directing the vehicle based on left and right neural activity. 

The main purpose of this project is to capture the motion of individuals using a camera interface and connect their movements to interactive on-screen art elements. Our project utilizes real-time motion tracking using the built-in ZED2i camera object detection model and works on making the user interface smooth and reducing system lag as much as possible. In addition, it has artistic motion recognition for use in shows and for personal use. Renee Murray, our client, wants a version that is ready for production and easy to use.

As a group of polytechnic students at Purdue, we aim to tackle the issue of limited ergonomics, accessibility, and effective exoskeleton designs for educational use. We would be interested to know whether our DIY exoskeleton can teach one of the courses at Purdue University under the curriculum of human factor and ergonomics.

Our solution functions as a backpack-like device that will be mounted between the shoulder blades of an alpaca. It is a multi-facted device that includes a microcontroller that can transmit accelerometer, temperature, and humidity data via LoRa. As well as a separate microcontroller that transmits GPS data via a Wi-Fi connection.  The microcontrollers are stored in a single enclosure that also houses a rechargeable battery pack and a solar booster board that are both being trickle-charged by a solar panel attached to the lid of our enclosure.

Throughout the duration of our capstone project, we as a team aim to utilize an existing 3D printer as a reference to create a bill of materials that allow for the easy purchase of parts with the intention of assembling a printer that matches the reference printer. Furthermore, we also aim to create a recipe that can be used as groundwork for future senior design groups to assemble these printers in the smart manufacturing lab.

A human powered vehicle is built every year by the Purdue Fluid Power Club to enter the National Fluid Power Association’s vehicle challenge. The team will focus on designing, building, and testing a pneumatic mechanism to engage and disengage a mechanical clutch necessary to activate the regenerative circuit of the human power vehicle. Additionally, the team will be responsible for developing a digital interface (HMI or similar) to control the functions of the vehicle and to read on-board diagnostics.

Throughout our project we would like to…

•Fabricate a life-size, 9-foot shark.

•Create a shark that will swim naturally using a pneumatically actuated tail to generate thrust controlled by a Proportion-Air MPV Pressure Regulator Manifold.

•Control the shark with “wired” controls, and tethered air.

AlGalCo is an Indiana-based hydrogen energy startup that is commercializing their patented "Hydrogen-on-Tap" (H.O.T.) system. By adding water to an aluminum alloy, their technology generates pure hydrogen on demand that can be used to power internal combustion engines. The exothermic reaction that takes place in AlGalCo's H.O.T. technology generates pure hydrogen gas and steam as products.