Dendritic Identifiers are a new technology that aim to address the need in the supply chain for a low cost solution to counterfeiting while maintaining a high degree of security. This product has been in development by previous groups, and we intend to improve upon this goods identifier with the addition of constellation verification. This improvement adds an additional layer of security by adding a set of points distinctive of each individual dendrite.

The solar powered charging station is a way to help organize people’s electric scooters and make sure they are fully charged. The project focuses on charging the electric scooter by a fast-charging battery charger circuit with constant current and constant voltage. The charger circuit also has adjustable charging parameters.

Modern methods of handling plastic waste through recycling have existed for decades but lack of sustainable infrastructure has prevented any meaningful, widespread recycling. Our project models a sustainable solution: a rapidly deployable recycling factory housed in a storage container using solar and battery storage to meet energy demands. This solution will help divert waste streams during the aftermath of natural disasters and provide local communities an alternative method of turning their plastics into usable end-products.

The goal of Team 13 was to design a device that would reduce the sound of household appliances by designing a system through our knowledge, skills, and abilities that were gained through our time at ASU's electrical engineering program.

Distributed Energy Resources (DERs) are small power generation systems that are installed at homes and businesses in the low-voltage distribution grid. A grocery store in Austin, TX plans to install a 1.2 MW natural gas turbine DER on an existing Austin Energy (AE) distribution feeder. This project uses computer modeling and analysis to evaluate the impact of the proposed DER and potential future DER installations on the feeder's fault current and protection relay operation.

This project created an automated test bench that will perform tests on chips and generate reports using the gathered data. All the code for the test bench is done in LabView.

This project is about characterizing the performance of commercial off the shelf (COTS) micro-SD cards under various total ionizing dosages (TID) from a gamma radiation source. Four different brands were chosen and the highest TID was 20 krad(Si).

Current irrigation systems do not monitor if the system is operating nominally. If there is a leak, the only method of detection is either visually seeing a water puddle in the yard or receiving a high-water bill from the utility company. Team Water Geyser through project Poseidon has implemented a method of detection that will notify the user in real-time of a leak using flow meters, solenoid valves, and circuits that are always monitoring water usage. If a leak is detected, the system will notify the user instantly of the abnormal condition and be able to turn off the water with a press of a button. This will minimize the water loss due to a leak and allow the user to locate and repair a leak in an irrigation system.

Large capacitors inside CTM Magentics' harmonic filters dominate system load at system startup and shut down. The designed PCB board will keep these capacitors out-of-the-loop at low load currents to reduce harmonic distortion (inefficiencies) sent back into the grid.

Team SDR for New Dream presents Software Defined Range Radar using a relatively cheap SDR (Adalm-Pluto). Includes two seamless and interactive modes (Pulse Radar and FMCW Radar) to demonstrate the design. The design validation is demonstrated through measuring the length of various known cable lengths.

The Sun Devil Environmental Group is developing an environmental controller for use in all sizes of growing projects ranging from hobbyists looking to grow vegetables, fruits, and herbs at home to large scale indoor farming. We aim to enable gardeners and farmers with technical automation and monitoring through the use of a scalable and affordable product unlike anything on the market today.

This project is the design and build of a two-wheeled, automated, self-balancing and obstacle-avoiding robot. It showcases the implementation of control system design.

A deployable camera system capable of capturing extended exposure photos of the night sky for analysis on the effects of light pollution. The system requires minimal operator intervention, autonomous daily operation, and solar recharge capabilities.

The objective of this project was to train a deep learning neural network to perform object detection and deploy the model with optimization to the low-power, low-cost NVIDIA Jetson Nano.

The goal of smart chutes is to create a drone with the ability of variable descent. With this ability the goal is to be able to descend fast enough before making contact with a possible obstacle.

The goal of this project was to design and build a portable solar panel mounting and control system. That when combined with a solar concentrator will generate enough power to meet the needs of target customers while maintaining a small footprint.

Designing a low-cost Radio Frequency Spectrometry solution for Cubesats.

OpenPV is a free web-application which simulates the annual generation of residential photovoltaic systems (Solar Panels). Providing average homeowners with estimated financial benefits via a series of interactive tools based on certain customizable parameters including roof-area, geographic location, and current monthly energy bills. The web-app is accessible here: https://openpv-simsolar.herokuapp.com/

This project entails a Seizure Prediction framework utilizing Reservoir Computing that was trained with brain signal data (EEG). The reservoir can detect the “pre-ictal” state preceding a seizure to aid in future seizure detection work.

The hot car monitor is a device that has the capabilities to detect a child or pet left in a hot car. The device works by using multiple sensors and a camera, it will then send a picture and vehicle information to the owner of the car including GPS location.

Team 10 Source Location identification is using a consumer over the counter gas sensor to identify the location of a gas or substance leak. The source of the leak is identified by using 14 sensors on a neutral environment test chamber. Triangulation algorithm is used to find the source of the detection.

The team has developed a system that quickly, easily and accurately measures the temperature coefficient of semiconductor devices at a low cost.

This project consists of a posture correction sensor that utilizes force sensitive resistors, vibrational motors, and an Arduino Due to record and analyze the weight distribution of a seated user and provide feedback to them when their posture is unbalanced.

This project seeks to mitigate the reduced video quality from data compression due to bandwidth limits, which hinders the transmission of emotional information. The team utilizes Gaussian blurring filtering and machine learning facial recognition to apply selective compression to a prerecorded video. The end result is a modified video that compresses the background and preserves important emotional information.

Our project aims to address the condition of the potable water system in a local metropolis by developing a Design Package for the City of Phoenix to use on their potable water distribution system, focusing on the Electrical Power Distribution, Instrumentation and Controls, and Process Systems.

Automatic moisture monitoring and watering system for a backyard.

Aqualife is a solar powered water filtration system. The system filters dirty water through use of sensors and reverse osmosis. The system is powered by two 12V batteries that can be recharged by accompanying solar panels through Maximum Power Point Tracking.

The demand for renewable energy is increasing and can create significant challenges for the existing electrical network. Team Solar Integration is proposing a community scale photovoltaic and energy storage system that will enable utilities to increase their renewable energy generation without the need for costly infrastructure upgrades. Our proposed solution will be tailored to historical energy use observed in similar neighborhoods which allows for a system design that creates a more stable and predictable demand profile for the utility while supplying a significant amount of the neighborhood's energy needs.

This project aims to convert voltages (specifically in electric vehicles) more efficiently and cost-effectively. The team developed a GaN Buck Converter using an FPGA whose load can be varied to provide DC power to different components inside the car for various in-vehicle experiences.