2018-2019

    The purpose of this project is to make an efficient projected musical interface. This will allow the user to interact with multiple instruments such as a piano or drum-pad. All of this will be observed through machine vision technology in order to detect human interaction with the specific key being pressed or interacted with.

Collision avoidance is a popular option for motorized vehicles. A system in place would decrease the probability of human error in collisions and provide a safer flow of transportation. As technology exceeds human expectations, autonomous vehicles will soon emerge and become readily available to the masses. An avoidance system onboard autonomous vehicles that detects when another object is nearby can decrease the overall number of collisions.

Our project pertains to the establishment of a WiFi Mesh Communications system to serve as a proof of concept which will be applied to the Antarctic Ross Ice-Shelf ANtenna Neutrino Array (ARIANNA) System. The primary goal of this communication system is to enable transmission and reception of data between antennas in an array such that information may be transmitted along a determined path to a base station.

This project aims to build a fixed-wing unmanned aerial vehicle (UAV) that could autonomously complete a series of flight missions including avoiding obstacles, image capture and recognition, and dropping payloads. This is a multidisciplinary project. Students and faculty from both engineering school and ICS work closely together to integrate all the mechanics, avionics and software parts into a system and make it fly. The project will compete in the 2019 AUVSI SUAS competition.

The EVSE Smart Charging System is an engineering project that aims to tackle the mass adoption of Electric Vehicles (EVs) as the standard for transportation for California, causing load on the grid to worsen. Aiming to align with the California Zero Net Energy goal by 2020, this project approaches the mass transition through the angles of the user, utility, and the state.

This project will solve an important problem in environmental monitoring, simplifying the task of collecting data in hard to reach locations on a body of water. Autonomous data systems can produce much greater amounts of data, more often, over a larger area than conventional approaches. The project is interdisciplinary, requiring skills in hardware, computer engineering, telecommunications, control systems, and sensors.

Construction companies often overestimate or underestimate the amount of materials needed for construction. This costs the company money in extra delivery fees and unused material. Our project aims to solve this problem by accurately outputting the quantity of materials needed and the associated cost through an image of the building’s framing schematic. In order to achieve this goal, we are using a convolutional neural network to train a model to recognize key features such as walls, windows, doors, and posts.

Our technology will be a dual component system that combines both negative pressure wound therapy and micro-nanobubble technology. With both technologies, our product will provide a steady stream of super-oxygenated fluid to irrigate and aerate the wound through a foam dressing while simultaneously acting as a vacuum to suck up all the debris, fluid, and infected tissue in and around the wound into a waste collection system.

Our project is the f/m electrocardiography monitoring. The product is a non invasive fetal and maternal ECG signal transmitter that transmit real time signals via bluetooth to a android device where it will extract the signals received into the maternal and fetus heart rates. We’re currently picking up from where our TA left off and is working on improving the current design to be capable of producing 3 different channels for monitoring the maternal or fetus health.

We are providing a cheaper and more convenient way to help patients deal with their communication issues in the late stage of ALS by using eye-tracking system to capture motions and process them to understandable instructions and supporting them with a friendly graphical user interface that allow user to construct text messages or select stored customized messages for their daily demands.

In addition, we are dedicating to support social welfare by selling our products at affordable price and making our project as a non-profit, open source platform.

Checking for homework and assignment deadlines is an integral part of students' everyday life. However, navigating through the many UCI websites can be difficult and time-consuming. PETR, our personalized school assistant device, aims to solve this issue by simplifying the process via simple voice commands that can navigate the websites for you.

This project will solve an important problem in environmental monitoring, simplifying the task of collecting data in hard to reach locations on a body of water. Autonomous data systems can produce much greater amounts of data, more often, over a larger area than conventional approaches. The project is interdisciplinary, requiring skills in hardware, computer engineering, telecommunications, control systems, and sensors.

The goal for this project is to design a beehive monitoring system by analyzing the sound frequencies emitted by the beehives using DSP principles. An autonomous drone will fly from beehive to beehive using image recognition to identify them. The sound samples will be processed and the results sent to a main computer.

iPill is an automated pill dispensing system that utilizes modern technology to create a stable, safe, and secure patient aid device. Our project aims to solve problems related to prescription drugs abuse, as well as provide assistance to patients in terms of organizing their medication schedules. 

This shoe sole is designed for people who suffers from low back pain. This is an alternative way to monitor patient’s standing, walking and running posture for medical testing, which can be used not only at the hospital, but anywhere else. Data would starts to be collected once the patient put it on, and there is no limitation for the patients as of wearing it like a pair of normal shoes. Data collected in the shoe sole would be sent to the patient’s smartphone directly, at the sametime if needed, would also be sent to the physician through the internet.

"True Reflection" is a revolutionary new smart mirror that allows people to virtually try on different accessories by talking to the mirror. Accessories are worn by overlaying the products onto the user’s face. The underlying technology beneath this concept is the use of computer vision and voice activation.

Our Team is Measuring 3-Phase Power by designing and building a circuit using the ADE 9078 Chip and ICE40 FPGA board. 

The objective of this project is to develop an automated way to utilize a homes energy sources and storage to either to maximize the price savings or to maximize the use of green energy. This will help homeowners to save more from their solar and battery systems and to make their energy usage more green than it already is.

Introduction: With the growth of the number of vehicles ownership worldwide, parking brings people a lot of trouble every day. Thus, we designed a system that could be deployed on any vehicles to help drivers find available parking spots in advance before entering a busy parking lot. Our system used the drone to acquire live video stream and applied computer vision algorithm to detect available parking spots. Navigation result would be displayed by a mobile app.

Ventus is a smart ventilation or climate control system that can control the thermostat and the temperature of each room by regulating airflow via the air conditioning vent. Each room can have its own desired temperature and is maintained using a machine learning algorithm. By leveraging the power of Google Firebase mobile platform, each smart vent can be remotely and securely controlled from anywhere in the world with an easy to use Android app.

www.projectventusuci.com

Have you ever imagined that cars can actually drive for you? Check our project out. Our projects designed a fully autonomous vehicle that could drive you to the destination.   The only thing the user needs to do is to input the destination in our User-Interface, and it is also able to dodge obstacles as it drives you there. Hope you would enjoy your time on our autonomous car.

The goal of this project is to create an innovative and portable charging device that is able to use Photovoltaic (PV) cells to convert energy of sunlight into electricity. This device will connect to EV Vehicles and deliver enough energy to produce a range of 5 - 8 miles. The layouts will consist of a housing of panels that pull out to expose trays that contain PV cells. Socket Programming as well as a Rasp Pi connected to an LCD is used to monitor trends of energy produced by the PowerHouse device.

Over the past several decades, there has been much effort placed into making cars safer and more fuel efficient. However, the next big automobile innovation that many tech companies and the entire automobile industry is working on are self-driving cars. The main drive behind this is eliminating human error in car related accidents, increasing fuel efficiency, and to make advancements in transportation technology. Companies such as Waymo have made vast progress in autonomous car technology and are expecting to release their self-driving vehicles to the public by 2020.

The purpose of this text to braille project is to design a device that will allow visually-impaired people to read text from books, newspapers, and handwritten letters.

The objective of this project is to measure current along power lines and other power monitoring applications. This device projects polarized light in the presence of a magnetic field near an electrical system. Based on how the light interacts with a magnetic field, data on the amount of electrical current that created the magnetic field can be obtained and sent to a remote device. 

This is the currently developed optical setup for the device:

Team Lithium will continue to design and implement new iterations for the FSAE Electric Race Car student design competition held every year in Lincoln, Nebraska. This project contains the development of the Electrical Vehicle Safety system as well as the improvement in the High Voltage Batteries and DC Motor system. The new designs of the tractive and controls system will be assembled onto the previous version of the race car including changes in the PCB components, Low Voltage and High Voltage Batteries, and the potential swap from Brushed to Brushless DC motors.

Watchdog is an RPI-based security system that utilizes a sensor array, a face detection camera with video and picture capturing ability, a door lock motor, a web server with a neural network backend and user interface frontend, and any PC to function as door mechanism that is convenient for the user as well as environmentally friendly.

Lemillion will process textbooks, other course material, and the student exam results to provide a variety of information to students and teachers. By automating many of the basic tasks as well as generating additional learning materials and detailed statistics, Lemillion can help instructors improve students’ ability to learn

Our project involves designing a portable small cell unit that operates at low power and with adjustable bandwidth. The module will be at a size that is small enough to operate at full power and transport to locations such as rural regions, overcrowded areas, and disaster zones.

We will be creating a fully autonomous vehicle. The importance of creating an affordable vehicle is important to the widespread adoption We will be implementing this project by using Haar Cascades object detection model. These models will be the backbone for the autonomous funcitonality of the project.