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2019 Spring

Semester Short

Real-Time Photovoltaic Cell Monitoring and Data Acquisition and Manipulation System

The Solar Monitoring Project aims to acquire, analyze, and display solar panel information from photovoltaic cells atop the EERC. In addition to displaying voltage, current, and power data in real time in Dr. Santoso’s lab, the data will be stored on a public web server for easy access. 
The Solar Monitoring Project is significant because it allows for previously unattainable information to be gathered in the lab. The information can be used to analyze different load behaviors and explore the advantages of implementing maximum power point tracking for a photovoltaic load.

Polychaete Worm Bio-Inspired Robot

Team H10 presents a novel soft robot design based on the anatomy of the Polychaete worm. The goal of this project was to demonstrate the potential of a soft robotic design to traverse over a variety of terrains. The novelty of Team H10's idea utilizes the material properties of shape-memory wires to imitate the worm’s repeating muscular structure, and a Central Pattern Generator (CPG) algorithm to mimic the crawling and burrowing gaits of the Polychaete species. A new frame design is also introduced to accommodate the shape-memory wire configuration.

Sound Steer

Harman International is a global speaker company that has developed a “sound steering” technology to send speaker output to people in a room directly rather than blanketing an entire room. Therefore, they have tasked our team with finding a solution for tracking people. Consequently, our project consists of two novel ways to detect and track people in an indoor environment. Our first solution utilizes light detection and ranging technology, better known as LiDAR.

Augmented Reality in the Great Outdoors

By seamlessly overlaying virtual content with real-world scenes, augmented reality (AR) provides new and improved experiences for navigation and entertainment. Current outdoor AR applications typically rely on smartphones with GPS and camera-based computer vision. For this project, we have created a proof of concept of a next-generation outdoor AR system that broadens the areas of applicability for this technology.

A Neck-Based Wearable for Real-Time Dietary Activity Detection

Many health-related studies rely on human memory to document when and what a person has eaten. Gaps in human memory and purposeful omissions make it difficult for researchers and doctors to reach accurate conclusions about their patients’ lifestyles. Our project focuses on the development of a neck-based wearable that keeps track of a user’s eating periods throughout the day. The purpose of creating a wearable that automatically collects and analyzes eating data is to yield data of higher accuracy and integrity than that obtained by self-reporting.

Feather: The Pressure Relief Cushion

Two out of three spinal cord injury patients develop pressure ulcers, leading to $150,000 in hospital costs per operation and ultimately taking the lives of 60,000 Americans annually. Prolonged contact and pressure caused by sitting on a wheelchair leaves patients at high-risk to develop pressure ulcers. Our solution, the Feather Cushion, is a smart cushion that alleviates areas of high pressure. Unlike other available options which have to be custom made, our cushion system is designed to fit any standard wheelchair and is easily accessible via our app.

Autonomous UAV Navigation with Radar in GPS Denied Scenarios

Our project is a research initiative sponsored by Dr. Nuria Gonzalez- Prelcic that aims to deliver a system that uses a radar sensor to assist in autonomous drone navigation, specifically in Global Positioning System (GPS) denied scenarios. The usage of radar over camera provides several advantages including lighter computation and functionality in low visibility. We developed this project with the Robotics Operating System (ROS), which can be used to control a wide range of robotics in the real world and in simulation.

Automated Smartphone Tracking Camera

QBRK is an intelligent cinematography system for smartphones consisting of a deep learning based software application and a proprietary hardware device. Our mission is to reduce the cost and technical skill barrier necessary to achieve professional quality video by implementing an object tracking camera rig that allows the user to apply a variety of stylistic filming modes to capture professional quality video.

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