| Project Overview | Design a flow detection sensor using non-intrusive (no need to cut into water pipe) technology to detect water flow. Must be able to detect a range of flow from nominal amount (a fast drip) to a large flow amount. Must be able to communicate via WiFi. Must be cost effective. We have successfully accomplished this using a very expensive ultrasonic sensor, but cost is too high. |
| Company | Corserva |
| Department(s) | Mechanical Engineering, Computer Science, Electrical and Computer Engineering |
| Faculty Advisor(s) | Younggil Park, Onur Toker, Feng-Jen Yang |
| Students | Colton Frear, Nicholas Shattuck, Joshua Baldwin, Cameron Brantley, Logan Brown, Lindsey Gerberich, Joshua Mahan, Sheldon Taylor |
| Project Overview | Design a small locator beacon for assisted living residents that will assist in locating them within the facility. Open authorized doors using BLE technology. Provide a manual button that the resident can press that would indicate they need “non-emergency” assistance. Pressing the button would show their location on the property and text/email support staff to respond. Must be small and have a long battery life. The goal is to make the chipset small enough to fit in a simple wearable or perhaps even embedded in jewelry, etc. |
| Company | Corserva |
| Department(s) | Computer Science, Electrical and Computer Engineering |
| Faculty Advisor(s) | Doga Demirel, Onur Toker |
| Students | Caleb Shepard, Matthew Gould, Casey Dixon, Yogi Schlesinger, Osaki Pokima, Connor Broyles, Jeremy Meritt, Matthew Llarena, Zachary Peltzer |
| Project Overview | Design an in-room control unit that can interface with most IoT devices (wired or wireless) used in the hospitality industry. This could include door locks, thermostats, lighting controllers, smart outlets and switches, occupancy sensors, etc. The device should be multi-communication capable (BLE, ZigBee, WiFi, Cat 6, etc.). Must be easily programmable. Must be cost efficient and easy to install. Must be secure. |
| Company | Corserva |
| Department(s) | Computer Science, Electrical and Computer Engineering |
| Faculty Advisor(s) | Onur Toker, Doga Demirel |
| Students | Robert Malory, Daniel Brewer, Jackson Potts, Robert Burzynski, Jeremy Didier, Robert Maloy, Cameron Perpall, Djuan Gayle, Logan Carlson |
| Project Overview | Design a kiosk for hotels that will allow guests to check in automatically without having to go to a front desk. Should use facial recognition as primary form of recognizing the guest, but without storing any personal identifying information (PII) on the device itself. Must be able to automatically issue room key cards once guest identification has been verified. Must be able to integrate with the property management system (PMS) and the lock manufacturer software to issue keys. |
| Company | Corserva |
| Department(s) | Computer Science, Electrical and Computer Engineering |
| Faculty Advisor(s) | Onur Toker, Feng-Jen Yang |
| Students | Julion Donelson, Quinn Donoho, Jeffrey Krakowiak, Leon Lu, Ronald Varela, Drake Perkins, Nathan Latchaw |
| Project Overview | Design and build a functional planetary rover using a limited number of parts and control through existing open source software. |
| Company | Florida Space Institute |
| Department(s) | Mechanical Engineering, Computer Science, Electrical and Computer Engineering |
| Faculty Advisor(s) | Younggil Park, Onur Toker, Feng-Jen Yang |
| Students | Gabriel Gamet, Jackie Langston, Marshal Tobias, Purcell Anderson, Skyler Batteiger, Derek Apgar, Edward Davis, Adam Ghaffarian, Lauren Krajewski, Thomas Williams, Blake Bryant, Caleb Bucklin, Justin Crampton, Stefan Smoke |
| Project Overview | Examine existing data and look for trends and methods for additional data collection to assist in building a model for predicting health outcomes based on social determinants. |
| Company | Lakeland Regional Health |
| Department(s) | Data Science and Business Analytics |
| Faculty Advisor(s) | Sravani Vadlamani, Reinaldo Sanchez-Arias |
| Students | Matthew Santalla, Antonio Sheldon, Megan Morano, Ryan Dean, River Anderson |
| Project Overview | Surgical instrument tracking is a mandatory requirement that ensures patient safety. Studies show that retained surgical instruments occur in 1 out of every 5500 surgeries with the annual cost estimated to be around $2.4 billion. Having an effective system to ensure that 100% of all items entering the OR are accounted for would improve patient outcomes and reduce health care costs. Image detection to track which instruments entered the operating room and which instruments have been accounted for once the surgery is complete will reduce the human error of logging and counting instruments and also avoid the need to scan the patient when discrepancies arise. Additional benefits to tracking surgical device usage would be the rich statistics on usage during various procedures to monitor surgical techniques and their associated outcomes. |
| Company | Lakeland Regional Health |
| Department(s) | Computer Science |
| Faculty Advisor(s) | Doga Demirel |
| Students | Alexander Maier, James Miller, Christopher Attar, Raphael Henrich, John Ellis |
| Project Overview | Synapse Connect is a digital platform created so those in Florida’s innovation communities can easily find what they need and share what they have. The hypothesis is that when people are looking for something, they want to find results based on one or more factors including: their specific need, an industry, a geographic location, affinity (like university), a skill set and/or a business stage. Similar to Yelp, people may look for a need (restaurant), an industry (pizza), a geographic location (downtown Tampa), and a business stage (dollar amount of the meal). The platform experience begins by having users self-identify as one or more of the key partners in the innovation community: entrepreneur, investor, talent, entrepreneurial support organization, innovation enabler (service provider), corporation, government, or educational institution. Each of those members of the community at some point or another require easy connection to another of those groups, and not just anyone – the right one. First, users should be able to identify their talents, skills and assets to the community. This should enable others to “find” them when searching for something specific. Second, users should be able to present a need or opportunity, if they have one. For example, they may be looking for a job, a partner with a particular skillset to assist on a project, investor, etc. The platform should enable users to clearly state what they’re looking for and for those who may be able to fill that need to become aware of their request, and then automatically pair like matches or suggest those close to it. Finally, the platform should be a place for ongoing community conversation where innovators can initiate or participate in meaningful discussions, share ideas, and build community. In its beta state, Synapse Connect ended up as more of a directory that was difficult to use and truly find value. There are other web platforms or mobile applications where bits and pieces of Synapse Connect are prevalent, however they either serve another geography or do not provide the full visibility into the community. This interface is intended to be made for users in the state of Florida. Synapse is asking the students of Florida Polytechnic University to brainstorm and ultimately develop ways to make the platform easy to use, engaging, and deeply valuable to drive people to come back and make it a part of their daily lives. |
| Company | Synapse |
| Department(s) | Computer Science |
| Faculty Advisor(s) | Doga Demirel |
| Students | Jonathan Weber, Aharon Fajardo, Alexander Alvarado, Aaron Lynn, Nathan Rabideau |
| Project Overview | Collect current bottling line statistics and perform a redesign and optimization to increase production and reduce downtime. |
| Company | Refresco |
| Department(s) | Data Science and Business Analytics, Computer Science |
| Faculty Advisor(s) | Sravani Vadlamani, Reinaldo Sanchez-Arias |
| Students | Owen Dostie, Zachary Rodencal, Hunter Porter, Jeremy Slack, Thomas Varas |
| Project Overview | Collect current bottling line statistics and perform a redesign and optimization to increase production and reduce downtime. |
| Company | Refresco |
| Department(s) | Data Science and Business Analytics |
| Faculty Advisor(s) | Sravani Vadlamani, Reinaldo Sanchez-Arias |
| Students | Travonte Williams, Felipe Martins, Richard Conn, Antonio Ramon Varela Alvarez, Juan Segarra |
| Project Overview | The FRS Dome is psychomotor skills device used for training robotic surgery techniques. It was constructed to test seven tasks of manual dexterity, which trains over 16 psychomotor skills specific to robotic surgery. These skills include simulated knot tying, suture handling, wrist articulation, cutting, A-traumatic handling, dissection, and more. The current standard of evaluation for this device is completed by a subject matter expert (i.e., surgeon or robotic trainer) physically marking errors and metrics on a paper list for each exercise. The goal of this project is to turn the original dome into a “smarter dome.” Specifically, the we wish to develop a semi built-in assessment, such as sensors that can measure force and touch. In addition to incorporating sensors for feedback, the team is tasked with evaluating real-time video of users completing these exercises to develop an automated process to analyze the surgical practice to aid in identifying objects, actions, and quality of performance. |
| Company | AdventHealth |
| Department(s) | Mechanical Engineering, Computer Science, Electrical and Computer Engineering |
| Faculty Advisor(s) | Matt Bohm, Onur Toker, Doga Demirel |
| Students | Nicolette Fournelis, Zachary Unson, Austin Lubetkin, Ryan Birnie, Mitchell Stein, Tito Leadon, Jevon Erickson, Aaron Palmer, Ismael Lopez |
| Project Overview | OiGO allows patient, caregiver, and professional to collaborate in real-time “therapeutic alliance” to meet the user’s individual communication and behavioral needs. Initially, changes and customizations stay with each device. Our goal is to link devices that belong to a particular therapeutic alliance (special need user, caregiver, and professional) so that all members of that team are immediately aware of changes made by other members of that team. |
| Company | Bridges ACT |
| Department(s) | Computer Science |
| Faculty Advisor(s) | Feng-Jen Yang |
| Students | Chandler Holland,Connor Jack,Jacob Morris,James Rodriguez,Aimee Wright |
| Project Overview | A remote/app-controlled device that automatically climbs a palm tree and can be controlled to trim fronds. |
| Company | Palm Trim |
| Department(s) | Mechanical Engineering, Computer Science, Electrical and Computer Engineering |
| Faculty Advisor(s) | Matt Bohm, Onur Toker, Feng-Jen Yang |
| Students | Andres Regalado, Edward Shynski, Mc Ben Joe Charles, Kevin Burgos Susana, Ronald Geis, James Holland, Austin O’Neil, Kaitlyn Scheppa, Gregory Willard, Dominic Lentini, Kendon Ricketts, Liam Flaherty, Ronaldo Mendoza |
| Project Overview | Generate a model and concept for an extendable truck bed that is compatible with current manufacturing techniques. The truck bed should be able to accommodate a regular-size golf cart with the tailgate closed. |
| Company | Rod z |
| Department(s) | Mechanical Engineering |
| Faculty Advisor(s) | Younggil Park |
| Students | Dorian Alberti, Harley Thompson, Joseph Mau, Leshin Varghese, Patrick Maloney |
| Project Overview | Invasive aquatic plant species infect many Polk County lakes. Bok Tower Gardens has requested a robotic system that floats in the water and collects weeds (via cutting below the water line or pulling the weeds up whole). |
| Company | Bok Tower Gardens |
| Department(s) | Mechanical Engineering, Computer Science, Electrical and Computer Engineering |
| Faculty Advisor(s) | Younggil Park, Onur Toker, Feng-Jen Yang |
| Students | Alexander Thurston, Nicholas Poimboeuf, Ryan Bressette, Lauren Czech, Ramon Morales, Andrew Ryan, William Woodham, Alberto Garabatos Tormo, Dylan Gonzalez |
| Project Overview | Veritread is a heavy haul marketplace that connects customers in need of moving large items to carriers who can move those items. When transportation providers (trucking companies, freight brokers, freight forwarders, etc.) sign up with VeriTread to move loads on our site, someone has to manually vet them to ensure they have a legitimate company (checking their DOT number against the USDOT “safer” website and an insurance monitoring system) as well as verifying they are not a transportation provider we have had issues with in the past. We are looking to automate this process as well as being able to continually check the carriers already registered with us to verify they do not lose their DOT authorization to haul. |
| Company | VeriTread |
| Department(s) | Computer Science |
| Faculty Advisor(s) | Feng-Jen Yang |
| Students | Stephen Rodriguez, Max Saunders, Jeremy Wade, Orel Yoshia |
| Project Overview | Transportation has become the largest offender of CO2 emissions in our country, surpassing energy. We know that burning fossil fuels is a major contributor to the warming of our planet. The Paris Agreement, drafted in 2015 and Kyoto Protocol, signed in 1997, both worked within the framework of the United Nations Framework Convention on Climate Change (UNFCC) to address the emissions of greenhouse gases, CO2 being primary. These agreements worked within a timeframe that sought compliance prior to 2050. We now know our climate is warming much more quickly and it can be considered a crisis. Our economy runs on goods being shipped to customers and consumers via trucking. Through technology, CO2 emissions are being reduced, however this still leaves a substantial amount being released into the atmosphere. This won’t change rapidly but there is a viable solution if we expect the industry to clean up its CO2 pollution by offsetting its emissions through the purchase of carbon certificates, verified credits of sequestered carbon. |
| Company | VeriTread |
| Department(s) | Computer Science, Data Science and Business Analytics |
| Faculty Advisor(s) | Doga Demirel, Sravani Vadlamani, Reinaldo Sanchez-Arias, Feng-Jen Yang |
| Students | Caden Raymond, Joshua Tschuor, Nicholas Lane, Nicholas Springett, Pete Carter, Joshua Gallagher, Jonathan Hopper, Lee Oester |
| Project Overview | Design and develop and augmented reality tour of Florida Poly for potential students and their families. |
| Company | Florida Polytechnic University |
| Department(s) | Computer Science |
| Faculty Advisor(s) | Doga Demirel |
| Students | Gervonte Fowler, Esme Vazquez, Logan Crosby, Jacob Barker |
| Project Overview | Design and develop an augmented reality tour of Florida Poly for the general public. |
| Company | Florida Polytechnic University |
| Department(s) | Computer Science |
| Faculty Advisor(s) | Doga Demirel |
| Students | Jesse Colkmire, Douglas Burnside, Michael Walen, Christina Thomas, Andrew Diaz |
| Project Overview | Examine methods to demonstrate a hyper effective heat exchanger for use in household HVAC systems. |
| Company | EnergyID |
| Department(s) | Mechanical Engineering |
| Faculty Advisor(s) | Younggil Park |
| Students | Ethan Benford, Ezequiel Soleto, Kelsey Marin, Angel Sarmiento |
| Project Overview | Upgrade the controls and mechanics of an existing concrete smoothing machine such that it can be operated remotely and use vision to “track” the quality of the concrete operation |
| Company | L to L Masonry |
| Department(s) | Mechanical Engineering, Computer Science, Electrical and Computer Engineering |
| Faculty Advisor(s) | Matt Bohm, Onur Toker, Feng-Jen Yang |
| Students | Cadreeo Hudson, Hugh Leonard, Ryan Perez, Matthew Campbell, Kyle Conway, Kyle Dean, Tanner Graham, Joseph Guminski, Justin Powers, Lukas Merklein, Vinicius Seixas |
| Project Overview | Create an application that can help visualize and personalize our menu based on menu item attributes (calories, nutrition, etc.) as well as recommendations that we are calculating for known and unknown guests. This would be more focused on the UI/UX to determine the best way to show the menu to our guests. |
| Company | Red Lobster |
| Department(s) | Computer Science |
| Faculty Advisor(s) | Doga Demirel |
| Students | Richard Cruz, Cameron Broyles, Michael Perez, Daniel Ben-Zaken, Ethan Felder |
| Project Overview | VR/AR application for training our internal restaurant employees. Areas could include: how to plate entrees, what side items go with the entrees (lemons, cocktail sauce, butter, tartar sauce, etc.). Including some element of gamification to help keep employees engaged would be ideal. |
| Company | Red Lobster |
| Department(s) | Computer Science |
| Faculty Advisor(s) | Doga Demirel |
| Students | James Dials, Gabriel Escobar, Nicholas Henning, Joseph Barbee, Albert Khoury |
| Project Overview | Create a system capable of gathering customer input via a web interface and then intelligently building a recommended sales plan. Given a set of historical sales by store x week x UPC the team will build a web-based application which will interview an end user on their sales goals. These goals will then be used to create an annual sales plan. The grain of the user input and the desired sales plan will not match, which is where the complexity occurs, e.g. the user will supply goals by product category by region, but the desired sales plan must be created at a store/SKU grain. This project would involve building a web survey tool for end user input, a database to store the historical sales, and intelligent foresting algorithm, an output file with the sales plan. |
| Company | Accelerated Analytics |
| Department(s) | Data Science and Business Analytics, Computer Science |
| Faculty Advisor(s) | Sravani Vadlamani, Reinaldo Sanchez-Arias, Feng-Jen Yang |
| Students | Ethan Bard, Tyler Francis, Calvin Genzlinger, Omar Montesinos, Mitchel Pienias, Haily Reinhardt, Alexander Uchman |
| Project Overview | Mobile app refinement for the Pikes Peak or Bust Rodeo. Update the Pikes Peak or Bust Rodeo’s mobile app by implementing push notifications and automating contestant and score details. |
| Company | Microsoft |
| Department(s) | Computer Science, Data Science and Business Analytics |
| Faculty Advisor(s) | Sravani Vadlamani, Reinaldo Sanchez-Arias, Doga Demirel |
| Students | Bryan Urias, Andres Hernandez-Ortega, Steve Zhao, Christopher James, Zoe Sewell, Ethan Tunnicliffe, Gabriel Mantini |
| Project Overview | Improving an individual’s mental health through a mobile application using deep learning for personalized recommendations, and gamification elements to encourage progress. Additionally, taking feedback from all users to potentially discover new strategies for mental health improvement based on the most successful routines, habits, and pathways our users take. |
| Company | Smarter Ventures |
| Department(s) | Computer Science |
| Faculty Advisor(s) | Feng-Jen Yang |
| Students | James Cowgill III, Elijah Luckey, Joshua Swonger, Quinton Vasile |
| Project Overview | Improving an individual’s mental health through a mobile application using deep learning for personalized recommendations, and gamification elements to encourage progress. Additionally, taking feedback from all users to potentially discover new strategies for mental health improvement based on the most successful routines, habits, and pathways our users take. |
| Company | Smarter Ventures |
| Department(s) | Computer Science |
| Faculty Advisor(s) | Feng-Jen Yang |
| Students | Nicolee Brown, Emma Dibble, James Floyd, Austin Park, Elliott Wert |
| Project Overview | Create a smart retractable dog leash that looks and works more like a typical leash. Improved safety features such as automatic tension adjustment as the leash comes near full extension. See document. |
| Company | Smart Leash |
| Department(s) | Mechanical Engineering, Data Science and Business Analytics |
| Faculty Advisor(s) | Younggil Park, Sravani Vadlamani, Reinaldo Sanchez-Arias |
| Students | Devan Cantrall, Lucas Henry, Zachary Elmer, Lucille Bridges, Elton Campbell |
| Project Overview | Explore robotic autonomous mowing for industrial/campus types settings. Expand on current robotic mowing technologies to include vision landmark recognition to correct GPS positions for accurate mowing. |
| Company | Florida Polytechnic University |
| Department(s) | Mechanical Engineering, Computer Science, Electrical and Computer Engineering |
| Faculty Advisor(s) | Matt Bohm, Onur Toker, Feng-Jen Yang |
| Students | Emily Stitt, Adam Tarbox, Elizabeth Baker, Zachary Delgado, Austin Hinkle, Elizabeth James, Srushti Patel, Gage Rome, Gabrielle Simms, Justin Krum, Nisha Patel, Thomas Bryant |
| Project Overview | Investigate, generate a data acquisition/collect data, perform FEA analysis, and design recommendations for high performance “Jump” water skis to help spur an innovate manufacturing method. Milestones will be geared to provide quick feedback to the sponsor about basic perceived issues while modeling and simulation efforts continue. Knowledge of FEA/composites/materials/impact forces are beneficial to the project. |
| Company | Flyman |
| Department(s) | Mechanical Engineering |
| Faculty Advisor(s) | Younggil Park |
| Students | Alan Souto, Geoffrey Doback, Noah Poimboeuf, Sean Goins, Troy Hair |
| Project Overview | As part of our platform we have multiple interconnected multimedia artifacts such as videos, presentation slides, scientific articles, and website artifacts. This project aims to create and/or improve the interaction of these artifacts. For instance, there are various types of figures and graphs in a scientific paper that someone may query about but these graphs usually are in an image format that is human-readable but not machine-interpretable. The mining and discovery of such artifacts as well as connecting them with others (e.g, a page in the corresponding journal article referring to it, a video in our database talking about that artifact, etc.) is one of the main tasks of the project in addition to storing, transforming, and presenting this information in a suitable manner. |
| Company | Aggregate Intellect Inc. |
| Department(s) | Computer Science |
| Faculty Advisor(s) | Feng-Jen Yang |
| Students | Daniel Rentfro, Forrest Rock, Bria Smith, Gabriela Valdes |
| Project Overview | The objective of this project is to develop a software application that is usable on a Microsoft Windows platform for the data acquisition and management of wireless sensor data obtained in propulsion systems. The senior design team will work the Sensatek Engineering Team to document the current data acquisition, management, and reporting process. The sensor design team will work to streamline the instrumentation management process through the creation and implementation of a software application to more efficiently manage the data acquisition process. |
| Company | Sensatek |
| Department(s) | Computer Science |
| Faculty Advisor(s) | Feng-Jen Yang |
| Students | Andrew Falco, Samuel Gaskin, Delaney Jester, Stephen Miller |
| Project Overview | The objective of this project is to develop a proof of concept of a very low-profile wireless temperature sensing system that is used to measure temperature of a corrosive refrigerant coolant that is flowing within a turbo-compressor motor used in chillers and HVAC systems. The senior design team will design, prototype, and demonstrate hardware using commercial off the shelf (COTs) components while designing and prototyping a mobile application for wirelessly viewing temperature data within 10-30 feet away from electronics. |
| Company | Sensatek |
| Department(s) | Computer Science |
| Faculty Advisor(s) | Feng-Jen Yang |
| Students | David Nazef, Anthony Pacini, Sean Spurlock, Kyle Thomas |
| Project Overview | The objective of this project is to develop a proof of concept of a very low-profile wireless temperature sensing system that is used to measure temperature of a corrosive refrigerant coolant that is flowing within a turbo-compressor motor used in chillers and HVAC systems. The senior design team will design, prototype, and demonstrate hardware using commercial off the shelf (COTs) components while designing and prototyping a mobile application for wirelessly viewing temperature data within 10-30 feet away from electronics. |
| Company | Sensatek |
| Department(s) | Electrical and Computer Engineering |
| Faculty Advisor(s) | Onur Toker |
| Students | Joshua Santos, Troy Kelly, Vladislav Fomitchev |
| Project Overview | The objective of this project is to explore methods to digitally control modern brushless DC motors in an efficient manner. |
| Company | Florida Polytechnic University |
| Department(s) | Electrical and Computer Engineering |
| Faculty Advisor(s) | Onur Toker |
| Students | Donald Spoerr, Manuel Aviles, Sebastian Inzana, William Blanc |
| Project Overview | Develop a small laptop-based radar sensor capable of measuring Doppler, range, and forming synthetic aperture array images. |
| Company | Florida Polytechnic University |
| Department(s) | Electrical and Computer Engineering |
| Faculty Advisor(s) | Onur Toker |
| Students | Danylo Khodosevych, Keegan Sommer, Ruben Levy |
| Project Overview | The ideal product is a mobile automated power-washing arm that can quickly remove bugs from bumpers and windshields. With the rise of autonomous and aware vehicles, electronic systems need a clear view of the roadway. Any debris (love bugs) can quickly cause those systems to malfunction. The product needs to be mobile such that it can be positioned at rest stops in a dynamic fashion as swarms of bugs move to different areas. The robot will be vision enabled allowing it to automatically recognize the windshield and bumper and to clean just those portions of the vehicle. |
| Company | Omni Pressure Cleaning |
| Department(s) | Mechanical Engineering, Electrical and Computer Engineering, Computer Science |
| Faculty Advisor(s) | Onur Toker, Matt Bohm, Doga Demirel |
| Students | Dorian Alberti, Sean Goins, Logan Carlson, Djuan Gayle, Michael Perez, Cameron Perpall, Raphael Henrich |
