We have developed a thermoelectric powered water leak detection and alert system for use with gas water heaters. Our system is designed to operate indefinitely using the pilot light as a power source.

The scope of this project is to design, fabricate, and test a highly efficient buck/boost converter to be used in a capacitive deionization process, which converts salt water to pure water. The project entails Spice simulations of various architectures, component selection, schematic and layout design, soldering/assembly, and testing. We demonstrate in our project that we’re able to achieve overall efficiencies greater than 85% on multiple designs.

This project uses machine learning and CSI data from transmitted signals in a line of sight and non line of sight setting to differentiate objects. The purpose of this was to give proof of concept that machine learning could be used to assist millimeter waves in applications where they had to travel around corners. Millimeter waves are weak penetrators and therefore need assistance in order for use outside of line of sight applications.

Electric Vehicle Emergency Solar Charger

Developing a safe and low-cost method for delivering power to an automotive fuel pump with readily available components using pulse width modulation.

Advances in technology increasingly improves our daily lives. Segments of the same technology, however, have been overlooked. Our vision includes devices that are truly wireless and not tethered to a charging station.

Team 38 worked for General Dynamics Mission Systems (GDMS) to develop a small, very low-cost radar system test bench for eventual use aboard drones. Using novel processing and imaging methods, the team uses a Synthetic Aperture Radar (SAR) like approach to electronically detect objects and image them. This technology can be further expanded to small, cheap drone systems for a variety of important applications.

Team Looking Glass has created a Blind Spot Detection System for the Forward A-Pillars of a car. A camera captures a video stream, while an on-board computer processes the images onto two displays on the inside of the pillar, such that the driver can see through the pillar as if it wasn’t there. Ultrasonic sensors and object detection tracking provide appropriate visual and audio warnings when an object is detected in the blindspot.

The MusicalArtBot is an electromechanical machine that interprets music into visual art. The important aspects of music, including pitch and rhythm, are used to directly design the drawings. The goal of this project is to combine music and visual art into an immersive experience and encourage engineering ideas.

Team Undefined has created an smart outlet with power line communication. The outlet is designed to measure power through an outlet and to take user input to control other smart outlets via household powerlines. This system was designed with the idea of minimizing rolling blackouts by allowing power companies to view/regulate high power consumption loads on a power grid.

This project utilizes relays and multiple sensors to detect a fault within the system. The configuration will be changed via the relays to identify which solar panel is exhibiting a fault. With machine learning code, the type of fault will be detected and shown to the owner through a graphical user interface.

This project aims to improve wireless millimeter wave communication by utilizing computer vision to sustain high signal strength for high mobility end users (drones, vehicles, people). Using beamforming, the 5G (60Ghz) RF signal can be steered towards the intended target to be able to support very large data throughput.

Build an automated gardening system controlled by a Raspberry Pi microcontroller. As part of the automated gardening system build a fully functioning and automatic irrigation, shade/solar tracking, and weed detection subsystems. The use of automation provides the user with the least amount of required interfacing to bring a plant from seed to harvest.

Many technologies exist to improve reliability and resiliency of the electric grid; however, few can be utilized in conjunction with existing (or planned) distributed generation (DG). Team 16 has successfully created a technology that can interface bidirectionally with both a substation and a DG site to automatically operate reclosers to both detect and isolate a fault while simultaneously sectionalizing the rest of the line to keep power flowing where the DG can accommodate it. This technology can be used to create a more resilient grid, and help keep the lights going and going and going.

The goal of our project was to design and build an indirect calorimetry box to assist with diabetes and obesity research. Indirect calorimetry calculates the heat that living organisms produce by measuring their production of carbon dioxide and their consumption of oxygen. The indirect calorimetry device functions as the lid of a rat cage, making use of gas sensors, Arduino microcontrollers, and a program/GUI written in Python.

We have designed a Solar powered cooler. The Sun Cooler has custom built power and cooling systems, with Bluetooth capabilities. We use peltier cooling to chill the inside of the cooler.

ThermalArc is a waste heat recovery system using thermoelectric generators. This system is designed to reclaim wasted thermal energy through conduction and coverts it to electricity. The resulting DC power is then stored in a backup battery for an array of convenient uses on and off the vehicle.

KinesioTech developed an insole that communicates via Bluetooth with an application on a smart device. The insole uses pressure sensors to gather weight bearing asymmetry (WBA) and gait data in real time, which is used to generate continuous feedback during use and to create a daily report for assessment by a PT or other medical professional. The main priority of this project was to create a design that could run seamlessly for the user while providing patients and clinicians with a comfortable, affordable, performance-based solution to address WBA.

Our project is a carbon monoxide security system. We are building a system that fights against Carbon monoxide leakage, and that will alarm the homeowners and the authorities of the leakage. Carbon monoxide is a very dangerous compound, so we are building this system so that it can be used in every household, and to keep people safe from Carbon monoxide poisoning

Our team project was to construct a precision ozone generator. The team has been able to produce high concentrations of ozone in precise spots, and is marketing the product as a spot cleanser. The product is demonstrated via stain removal, however it can be useful for many different applications.

Lettuce Grow Together is an automated plant grower system built to simplify home gardening for everyone. Watering and lighting are connected to Arduino units and automatically controlled with a Raspberry Pi. A simple user interface is also available for manual overrides and keeping notes.

Industrial scale power generation from low temperature thermal gradients has seen an uptick in success due to developments such as the organic Rankine cycle, Kalina cycle, feedwater regeneration, and combined heat and power. Using this technology, Team Thermos developed a potential renewable energy source that can deliver reliable energy to a consumer. This includes comparing a consumer grade solar thermal collector to Team Thermos’s asphalt collector prototype, both coupled with the team’s lowside pump driver and sensor system for the hardware build. A simulated power plant featuring different working fluids was built to complete the residential Solar Thermal Power Plant system.

The purpose of this project was to successfully integrate a rotation stage into a ISAR system and prove the concept that ISAR applications can be used to scan the surface of a tire. This system can scan the surface of a tire and produce an image with a resolution down to millimeters of the tires surface.

The objective is to prevent rear end collisions by introducing an aftermarket bolt-on product to alert drivers to unsafe conditions. This will be a system that is mounted around the license plate of a vehicle which actively monitors the velocity and distance of trailing vehicles. When an unsafe condition is detected, an LED light strip and programmable messages would flash, alerting the trailing vehicle that it is approaching in an unsafe manner.

The Dexcom line of continuous glucose monitors (CGM) has a very limited communication range which causes it's users to be attached to their phone or lose critical data. Team 11 has created a range extender for these CGMs that relays the data from the sensor & transmitter to the user's smart phone using the Bluetooth Low Energy (BLE) protocol.

We have chosen the Solar District Cup 2021 as our capstone project. It challenged us to design and model an optimized distributed energy system for a campus district. The system integrates a solar and battery storage across groups of campus buildings served by a common electrical distribution feeder. This video is a short demonstration of how we engaged across the engineering, urban planning, and finance disciplines to reimagine how energy is generated, managed, and used in a district.

The H2phOton is a small-scale, solar powered, water desalination plant with an integrated smartphone application and battery backup. This is designed for use in residences to make use of the underground brackish (salty) water stores that are abundant in drought affected areas.

Team Aegis was tasked by the company Moog Broad Reach with developing a method for protecting non-volatile memories against radiation effects. It was decided that an FPGA could be used to mitigate the effects of single-event upsets. Therefore, Aegis developed a Verilog Reed-Solomon error-correcting code that is both highly efficient and highly parameterized.

CFD Research Corporation tasked our team to design a receiver RF interrogator to detect changes in the frequency response of a sensor. The purpose of the interrogator is to send a signal to a remote, passive sensor in order to wirelessly obtain measurements based on the reflected signal. Among other things, this technology can have applications in the biomedical field such as determining radiation dosing received by a patient.

Our Team’s Augmented Reality Non-Line-of-Site project sought to develop a system utilizing millimeter waves and an Augmented Reality headset to see around corners and doorways in an indoor environment. The project is not completed, however we have completed and documented crucial steps required for further development of this project by future teams. These steps include, but aren’t limited too: developing a TCP server to share data between the radar and the headset, loading a Unity client on the headset, and documenting the inner workings of the project.

Team PureMasks explores the creation of a new face mask that utilizes electrostatic properties and improved supply chain awareness to create a mask that meets the current medical and public demand for better face masks. These masks intend to address concerns over humidity, liquid resistance, and breathability while still being easily manufactured or reusable.

The SIMPS for ATE is a power supply, function generator, and signal measurement suite on a single, compact PCB for applications in test engineering, university labs, and hobby electronics. The SIMPS testing suite includes a LabView user interface for device configuration and data post-processing making the SIMPS easy to use for beginners and applicable to more advanced applications.

We have built a generic framework and tailored it to manage remote SDR nodes from a centralized controller. By implementing a discovery/pruning process and a messaging protocol, the framework is able to locate and query these SDR nodes and send commands to modify their properties or put them in transmit and/or receive mode. The framework can be easily adapted to orchestrate all sorts of node types ranging from transceivers to IoT devices.

Welcome to the U.S. Department of Energy Solar District Cup Collegiate Design Competition! 3.2MW - Solar PV + Battery Storage System design for the distribution energy system at The University of Nebraska, Lincoln.

The goal of Team 24’s capstone project was to design, build, and test prototypes of an RF interrogator for detecting changes in the resonant frequency of a radiation sensor. Through the exploration of these designs one potential application is condition monitoring of radiation exposure of patients receiving brachytherapy, where currently dose determination is done via models and algorithms rather than direct measurement. Specifically, our team developed and sent to be manufactured a PCB board of the receiver half of the transceiver subsystem with collaboration with the other receiver team and wrote peak detection algorithms for detecting radiation induced resonant frequency changes in a sensor.

The goal of our project was to investigate compression methods for communications waveforms. Our program creates sample waveforms to model those this would ultimately be used for. The data is digitally processed and modulated, compressed using different algorithms, and the performance is evaluated based on various metrics.

This is a program we’re developing for TriState Generation and Transmission Association, it’s a Python program that helps their company decide how much solar, wind, batteries, gas, and so on they should put at a given location. It has a user interface that allows the user to input an Excel sheet of weather conditions or gas prices, and say a wind farm size, and so on, and then spits out how much megawatt output of wind and/or batteries or whatever else they will get given the input variables and conditions at the site. The program tries to find, using graphs of the derivatives, the exact amount of megawatts where say wind stops being actually useful, i.e. are they paying for capacity that’s not actually going to be used, and compares all of the options available with plentiful graphs.

The goal of this project was to design a process in which foundaries can utilize to detect faults in IC's that have been tampered with. The tool used in this process and what will be highlighted in the demonstration is a machine learning code trained on clean and passed circuits.

This project sought to improve the trust of consumers towards autonomous vehicles. This attempt was made by trying to improve the safety features of autonomous vehicles, so that people would be more inclined to buy one or use a self driving ride share service.

Team 4 "ICU" designed, built, and fielded a radar system with the intention of detecting drone incursions into customer airspaces. Using the Blue Ocean Strategy of business, Team 4 "ICU" leverages unserved and underserved markets in government, military, law enforcement, and private interests. The radar system is a Frequency Modulated Continuous Wave (FMCW) linearly swept "chirp" radar which relies primarily on difference mixing rather than timing to determine target range.

Neural networks have huge model sizes and massive computation costs, and we will use 4-bit values to reduce model size, computation cost, and accuracy degradation due to model compression. Team 47 goal is to use an FPGA to efficiently perform classification of MNIST Handwritten Digit images while showing improved. We will draw handwritten digits while tracking model size, computation cost, and 95% accuracy on DE0-CV.

Team 27 senior design project entails the creation of a transmitter device for a RF interrogator that emits a frequency modulated chirp signal in the range of 5.4 to 6.2 GHz, as well as the design of 3 frequency selective surfaces operating at 5.4, 5.8, and 6.2 GHz. The frequency selective surfaces reflect the transmitted signal into an amplitude modulated signal to be analyzed by the receiver team. Real world applications for this project include biomedical sensing of objects such as specific polymers which would give insight into the tagged targets Ph levels, respiration, and body temperature.

Teams at Arizona State and Northern Arizona Universities are developing metallic dendrites and the accompanying blockchain to be used as food tags to prevent counterfeiting and limit the effects of food contamination on America’s produce supply chain. Our Senior Capstone team has been tasked with testing the evolving iterations of metallic dendrites to ensure durability and readability. Our team has gathered information from experts of the produce supply chain to simulate the various use environments of fruits and vegetables as they make their way from harvest to consumer.

The goal of this project was to design a system in which a hydro-generator would be attached to the main water line of a house in order to produce power whenever water was being used. This would provide a supplementary power source which would offset electricity costs for the owner. A small scale proof of concept was used to collect data in order to choose components for a full system.

Thousands of sea turtles drown every year as a result of getting caught in fishing nets. To help conserve the endangered sea turtle population, we teamed up with a larger research group at ASU to develop smart nets to prevent these lives from being lost.

Our objective was to bring something new and exciting to the home improvement industry. Our idea takes a twist on the rising of voice command items in the market by tying in a holographic visual.

The designed solar thermal heating system was built and installed on a rural home accessible to the target community. The final project deliverable was a “how to” manual for the community to build and install their own solar thermal heating system on their homes and learn from our mistakes. The manual has been left with the community for community members to begin implementing on their own.

To create a touchless elevator experience we replaced elevator push buttons with relays and implemented real time facial detection for social distancing. This involves wireless communication between raspberry pis and has the potential ability to be integrated into any standard elevator system. The purpose of this project is to prevent spread of illness between patrons.

The Bat Pack is a portable power solution that can act as both a primary power source and generation station or as a battery backup in the event of a power outage. It has multiple output levels that range from 5V USB to 110VAC. The battery pack is designed to provide 250 Wh of energy storage with a volume of 145 cubic inches and weighing 5 pounds.

COVID-19 monitoring system (Monsys20) is an integrated sensor-oriented system, designed to monitor interior environments like classrooms, and provide a cleanliness level indication for the users. Monsys20 will monitor the room by using five different kinds of features: Detecting body temp, Showing frequency of Desk usage after last sanitizing, Counting the number of people in a room, Detecting coughing/sneezing, Detecting body temp & room temperature.