Air Quality Index Crystal

Micropython Air Quality Index Crystal from Andrew L Rogers on Vimeo.

In November 2018 California experienced the Camp Fire, the most devastating wildfire to date. Smoke from the fire drifted and lingered in San Francisco, creating a hazardous environment. The EPA ranks the air quality with the Air Quality Index, a value that ranges from 0 – 500. San Francisco often stays in the ‘good’ range of 0-50, but during the Camp Fire was in the ‘very-unhealthy’ range over 271. Schools and businesses canceled activities and government officials are encouraging residents to shelter indoors and wear NIOSH N95 respirator masks when outdoors.

As we increasingly deal with the impact of global climate change it seemed appropriate to create a visualization of the AQI, so I can determine if I need to wear a mask before heading outdoors. Fortunately, the EPA has an API for checking the current AQI by zipcode at airnowapi.org. Additionally, the EPA has assigned colors for the different ranges and provides specific hexidecimal color codes for each.

This project checks the AQI at a regular interval and adjusts the color of a series of LEDS. The project is fit inside a selenite crystal lamp because it diffuses the colors and looks really cool.

View the project on GitHub

SRVY

A Physical Like/Dislike Questionnaire for Non-Profits

SRVY uses a screen to pose a visitor a question and then records their response using two physical buttons that correspond to two different values (Like, Dislike). The response is recorded in a SQLite3 database. On a daily basis SRVY generates a series of charts and reports which are automatically uploaded to a Dropbox application. Questions can be appended on a daily basis by editing a .CSV file also located in the Dropbox account.

The intended audience is smaller art non-profits such as museums, theaters, and community art centers. The goal is to provide a low-cost and customizable tool that will allow organizations to track audience engagement and determine metrics of success with little daily upkeep.

View the project on GitHub