Exploring WebAR/AR.JS/MindARJS/ModelViewerJS/8thWall) and Polycam (large data usage)

Exploring WebAR/AR.JS/MindARJS/ModelViewerJS/8thWall) and Polycam (large data usage)
Tech used: WebAR, AR.JS, MindARJS, ModelViewerJS, 8thWall, Polycam View Case Study Repository Link

Exploring and understanding mechanical displays.

Using AlfaZeta mechanical 7 segment displays.
Tech used: Processing, RS-485 View Case Study Repository Link

Motion activated CCT LED stair lighting that changes color temperature based on the time of day.

I am designing a stair lighting controller (Arduino based) that uses NTP to get the current time and a lighting algorithm to determine the best color temperature for the time of day.
Tech used: Arduino, Design, Electronics, Blender, Rust View Case Study Repository Link

An interactive light installation in my home controlled via React Site / Twitch chat / YouTube chat.

I designed, and promoted an interactive light instlation in my home that raised $225 for Feeding America, had 220 individual active users (those that sent a command), and 2093 Twitch live views (310 via Twitch and 895 from external sources).
Tech used: ReactJS, NodeJS, Python with Selenium, OpenFrameworks 11 (C++ Creative Coding Framework), Arduino(C++), MongoDB, Redis, Arduino Uno, Elgato Camlink, Canva, Figma View Case Study Repository Link

For Hack Upstate’s 2020 virtual Hackathon I created “Is My Mail Here Yet?”. I also came in 2nd place.

I wanted to be notified when a mail truck came around so I created a script with OpenCV/TensorFlow that detected when a UPS/Fedex truck arrived. This app sent me an email when it detected it.
Tech used: TensorFlow, OpenCV, Python View Case Study Repository Link

These are experiments from taking classes via Codame. These are running in The Force an online GLSL shader live coding platform.

I created these glsl animations that used my webcam as an input.
Tech used: GLSL View Case Study Repository Link

An interactive installation that explores smart cities and radical transparency.

For my computer science capstone project, I created an IoT installation with the goal of making smart technology tangible and less intimidating to the public, for the Innovation Office at the City of Syracuse, (a small, start-up-like office in City government). The sensors were connected to two Arduinos, connected to a Raspberry Pi, via USB running an openFrameworks desktop application that visualized their distance to the sensors on addressable LED strips, via a FadeCandy. The project integrated IoT elements by sending that distance data to an AWS DynamoDB database and NodeJS website, on Heroku, using a Python script that sent the data it received from openFrameworks via a UDP socket. That project forced me to learn how to communicate complicated computer science ideas to a non-technical audience via a series of posters and illustrations for each piece of hardware.
Tech used: ReactJS, NodeJS, Python with Selenium, OpenFrameworks 11 (C++ Creative Coding Framework), Arduino(C++), MongoDB, Redis, Arduino Uno, Elgato Camlink, Canva, Figma View Case Study Repository Link

A static implmentation of an R-lang KPI dashboard using Bootstrap, ChartJS and Bootstrap (as well as D3.js.

For an internship at the Syracuse Accountability Performance and Innovation ( Innovation team / iTeam) I was tasked with porting the current dashboard to something besides its current state of being 5+ individual R (R lang – data analysis language) scripts that would render the website. The goal was to make it easier to update the site. My implementation relied on hosting the site on Github pages, using ChartJS to create the graphs due to using SVGs it had a lighter performance hit than D3 based charting libraries.
Tech used: View Case Study Repository Link

I produced a proof of concept snow plow mapping website for The City of Syracuse.

I produced a proof of concept snow plow mapping website for The City of Syracuse. Syracuse is one of the snowiest cities on record within the United States. Given this fact, it was deemed important that the residents of Syracuse should be able to see when their streets were plowed. Earlier in 2018 the Office of Accountability, Performance, and Innovation held a Civic Hackathon in partnership with Syracuse University’s iSchool to find insights on plow data. This project was a continuation of the mission of that hackathon to tackle our snow problem. Also, the snow plow mapping tool would decrease the number of calls coming through to Cityline saying a street was not plowed. The City of Syracuse’s snow plow mapping application is an in-house project, created by me (Edward Deaver, IV), a computer science intern with the City.
Tech used: Python, JavaScript, RabbitMQ, Tile38, Verizon Fleet Management API, AWS DynamoDB, S3, EC2 View Case Study Repository Link