EECS

A cloud-deployed, functioning telemetry tracking of an unmanned vehicle and controlling it in waypoint mode through a web-app deployed on AWS. User can register with our service and connect to multiple vehicles simultaneously. Our end goal is to fully deploy the CloudStation app and demo it on vehicles across the globe.

Our project is open-source, check out our GitHub page here: https://github.com/CloudStationTeam

Our project is focused on the creation of a dynamic mesh network that is specifically implemented for networks with highly mobile nodes, for example drone swarms. This implementation is unique in its ability to reconfigure itself as necessary when devices and components of the network drop in and out of the network. This project is associated with Professor Marco Levorato's HYDRA project. 

For more information: https://github.com/ericcai9907/Dynamic-Network-Project-Documentation.

FiAR is an Augmented Reality (AR) helmet for firefighters that provides the ambient temperature, heart rate of the firefighter, GPS location of the firefighter, and radio communications.   

Our project goal is to design a simulation for the performance, primarily from the signal processing perspective, of a communication system that transmits WiFi to eight different aircraft in a given aircraft. In our project we calibrate for errors in phase and gain that arise from hardware inconsistencies by estimating the error and thermal noise. We then must shape our beams in order to minimize the interference each beam observes from the other beams. This is because they are all using the same carrier frequency. We also are designing an over the air real time calibration method that will be able to calibrate for hardware errors that arise over time due to deterioration. 

SmartFarmer is bringing Internet-of-Things to farms. Utilizing sensors and the Cloud, SmartFarmer is developing UwUPlants -- a hardware-as-a-service (HaaS) to monitor the state of users' farms. Utilizing microcontrollers and WiFi mesh networking, SmartFarmer aims to minimize data costs by linking multiple sensors to a single bridge node, where data can be streamlined and hardware complexity can be reduced on average. Various sensors are used to track farm vitals, such as soil moisture and local temperature, and those vitals are analyzed for users to view at a single dashboard. To see more details, please visit uwuplants.org

Mind your control is a multidisciplinary senior design project with the goal of helping paraplegic people control daily appliances. It uses EEG (electroencephalogram) signals from a headset to read a user's attention levels. These attention levels are then used to control a mobile application, which is, in turn, connect to daily appliance i.e a speaker, door, etc.

Whiteboards are generally considered to be an effective tool to assist in the educational and professional industries. With the advancement of technology, interactive whiteboards that use a projector as a screen and a board that registers user input have modernized the concept. However, traditional devices of this type tend to have a high cost, be limited by a fixed boardsize, and must be invasively installed using wall mounts. We created a cost-effective and portable alternative to conventional interactive whiteboards that can be used on many surfaces. By using small infrared sensors to calculate the position of the stylus, we remove the limitation of a predetermined board size, and by adhering to a wall temporarily, the board interface can be set up rapidly. The movement of the stylus in the board will be replicated on the computer.

Our project is called efficient deep racing via environmental contraining, our goal is to create a cost efficient yet high performance autonomous driving system by limiting the variables needed to process through using mario kart as the environment.

We are team Influence and our project is to detect the influenza virus via our model. The model is based on four different data parameters from human subjects: ECG, PPG, heart rate and body temperature. Our goal is to limit the spread of the flu by detecting early carriers and encourage better self-care if one is found with the influenza. As such, we will reduce the impact of the influenza by reducing its ability to spread from unknowing carriers. 

This project is about the Autonomous Vehicle, our goal is to build an autonomous car which it can avoid obstacles automatically, recognize and follow roads automatically, recognize traffic lights and signs automatically. In order to achieve the above requirements, we need the following materials: a modified RC car, battery, driver board, raspberry pi, lidar, and camera. Battery-powered, driver board can control moving and stop of car, raspberry pi used to control lidar and camera, lidar recognizes and avoids obstacles, and cameras are responsible for identifying traffic lights, signals and making vehicles follow the road. The reason for designing autonomous cars is because autonomous driving technology is the development direction of future driving modes. Mature applications of autonomous driving technology will bring more convenience to people's lives. At the end of the first quarter, we completed the movement and stop of the car as well as the lidar part as planned...

Project Daredevil is a technology meant to aid people who are visually impaired to allow them more hands-free independence. The goal is to use cameras to take videos and process the video in real time to detect objects. With the detection of objects, we also need to inform the user how far away detected objects are, and we do this by using depth detection. In order to accomplish this we incorporate dual camera technology, OpenCV, YOLO, and Tensorflow. The results are a working prototype of a device that can detect images and their depth to give feedback to the user.

The motivation behind this project is to eliminate the amount of time that a driver is distracted. This will be done through sound and visual on-board LEDs. Furthermore, the system will monitor the state of a driver and forward statistics to an online site or mobile application. This information is meant to alert concerned parties of the current user’s driving state in real-time

Many travelers struggle to carry luggages, often hampered by holding other belongings such as documents, bags, and etc. Carried away, our autnomous luggage, solves this issue by following the user/owner. This alleviates the stress of carrying multiple objects. The autonomous luggage follows the user through their phone and has sensors to avoid hitting people/objects. 

People do forget stuff. Various objects are put into places like cupboards, bookcases, and refrigerators but never get retrieved because their positions are too far behind the eyesight. Then, things become forgotten and wasted and duplicated items are bought.

This project consists of a smart object tracking system that can be applied to embedded devices to digitalize containers like shelves and refrigerators. By using a hybrid model of traditional edge-detection algorithm and novel neural network, the system can first record the category of any inbound or outbound object, then update its positional information efficiently. After uploading all information to a remote server, user can then use a mobile application to check the storage anytime with Internet connection.

Currently, the system is deployed on a Nvidia Jetson Nano development board with a IMX 219 camera of 8MP and 160 FOV attaches to it. The Jetson Nano is running with Linux operation...

UCI has a dedicated GPS application, known as ZotFinder, that works similar to conventional GPS applications, such as Google Maps. However, one fundamental problem this application contains is the lack of indoor mapping, which could prove problematic when traversing difficult-to-find indoor locations, such as classrooms and offices. Our goal with ZotFinder 2.0 is to solve this aforementioned problem and create an application that can navigate not only outdoor locations, but also indoor classrooms throughout UCI using modern technological trends, namely augmented reality. 

According to figures from the State of California Department of Finance, the State of California is projected to reach a population of 45 million by the 2030s. Meanwhile, whether at home or at work, technology will continue to become a more integral part of everyday life. As a result, loads on energy grids will worsen and the increase in population in the United States’ center of technology will amplify this effect. Especially after switching to time-of-use (TOU) pricing, energy service providers may be forced to charge customers, including residential homes, higher prices for energy use during peak hours due to an increase in energy demand and production. Its impact on the environment would involve the potential rise in carbon emissions depending on the availability of renewable energy sources. For both residential and business consumers, it may be difficult to determine specific areas or devices for which to charge usage patterns...

The robot will be given a set of randomly generated GPS locations. After autonomously traveling to a location, it will orient itself towards its origin point and raise a target for 5 seconds. During this time, the robot will detect if the target is shot during this time. Afterward, it will continue to travel to every other location and perform the same targeting procedure until it arrives back at the origin.

Our project is about Smart Lock that uses facial recognition and EEG signal to unlock the door lock. By applying machine learning and regression techniques, we will be able to process the data making it a database, and therefore people should be able to unlock it although EEG signal is different at seconds for every individual.

With the emergence of the MR (Mixed Reality) concept in the 1990’s, MR has been subject of intense research.  One outcome of this research is the realization that MR environments can be used in the development of games for the purpose of enhancing gameplay experiences.  These approaches, however, often center around the use of AR (Augmented Reality) headsets which convey visual information directly from the virtual environment to the physical.  An alternate method of conveying information is the usage of theatre practices to guide participants in the MR environment through the experience. By utilizing physical props embedded with wearable IoT (Internet-of-Things) devices and vocal guidance such as backleading for subjects to interact with a virtual environment, researchers can develop new methodology for MR gameplay.

One major hurdle of non-visualized MR experiences is successfully conveying information between the virtual and physical environments.  To remedy this problem, game designers and developers...

Teacher's Pet is a tool for automated formative assessment and comprehension analysis. Its design goal is to improve communication, understanding, and education in classroom or corporate training settings with a low-cost and innovative solution leveraging natural language processing (NLP) algorithms, embedded systems, and serverless cloud computing. 

The Handheld Automatic Guitar Tuner is a device that automatically turns the string's tuning peg to the desired frequency. The device will utilize signal processing techniques to filter noise from the string vibration frequency. The information from the device will then be relayed to the users through a mobile application, which provides a user-friendly interface.

As part of the UCI Solar Car team, this project seeks to design a control system for the powertrain of a solar powered vehicle. Running at 96V, the powertrain is composed of a 4 squared meter solar array, a 5kWh lithium ion battery pack, and a 2HP DC brushless motor. The control system that is being designed will enable the driver to shut the vehicle on/off,  apply cruise control, or change the direction of the vehicle's motion. Furthermore, the control system will feature several emergency shutdowns and a telemetry system. The latter will measure and then display important vehicle data to the driver. This will allow the driver to maintain an efficient driving style. 

D.R.I.P.

Python Script that imports OpenCV's open software library to apply facial/eye detection in order to process the video frame and put on articles and accessories onto the user through the mirror. Testing/Development has been done on our team's local machines, but the final presentation is set to be run on our raspberry pi 4. 

We are team MALD and our project is to design a motorized brace to help with joint movement. Our brace will used to help bedridden patients prevent pressure sores from forming due to being immobile for a long period of time. Our aim is to provide comfort for people that can not help themselves.

Project Scarecrow is a smart scarecrow that uses the Google Coral Development Board to perform objection detection without a cloud. See our attatched report for more information!

The Antarctica Ross Ice-Shelf ANtenna Neutrino Array (ARIANNA) is a neutrino detector located in Antarctica.  The neutrino detector works by amplifying weak radio frequency signals generated by neutrino-ice molecule interactions. However, the current amplifier board used by ARIANNA is no longer in production and needs to be redesigned. The goal of our project is the replication and enhancement of the low noise amplifier currently used by the ARIANNA collaboration.

The project is aimed towards making the business class experience more comfortable and satisfactory for the passengers which in turn would be revenue-generating for airlines. Based on research, using technology in passengers’ cabins would improve satisfaction rate of passengers. One technology that can be added to make the cabin systems easier to use is the voice recognition system.This would make interactions with entertainment and seat systems a lot easier. In addition to the fact that it is more convenient, it is useful for passengers with disabilities. If a passenger is unable to type or push buttons to make a request, he/she can do that through the voice recognition system.

Our project goal is to construct a voice recognition device specifically designed for business class passengers to easily interact with their IFE System/respective environment. This device would be able to recognize and translate speech into text, intelligibly process this information and...

The purpose behind this project is to build an autonomous RC car that can do the following: (1)  navigate through lanes, (2) detect objects, and (3) respond to those objects with the appropriate action such as stopping at a red light. 

Students waste time finding study spaces before finding one with adequate space. Currently, there is no efficient way to track real-time occupancy of rooms. 

CrowdVision aims to count the number of people in an image taken by a Raspberry Pi, and makes this data available to students in an easy-to-use web app.

GitHub: https://github.com/jens321/CrowdVision

Humans aren't perfect and neither are irrigation systems. With large areas of land to oversee, farm owners could set their irrigation system to over or under water at certain spots without even realizing. The RSMR was made to help recognize these issues easier and quicker. Inspired by Disney's Wall-E, the RSMR will traverse on its own in hopes to save the world by taking care of what is left of nature. In this case, the RSMR is here to take care of plants and the environment by showing potential areas where water conservation can be improved. Our team's goal is to make helping the planet a little easier.