GitHub / raosswald / MapMyAir
MapMyAir is a proof of concept system to visualize and predict air quality in your local neighborhood. MapMyAir uses the LoRaWAN(proprietary low-power wide-area network) to collect air quality metrics with custom hardware. The custom hardware is moved around your local area and collects data about the air. The collected data is formatted and forwarded to ThingSpeak after being transmitted over LoRaWAN, then pulled from a ThingSpeak Channel to a custom client GUI application. This system was deployed at the University at Buffalo's North Campus.
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/raosswald%2FMapMyAir
PURL: pkg:github/raosswald/MapMyAir
Stars: 0
Forks: 1
Open issues: 0
License: None
Language: HTML
Size: 2.78 MB
Dependencies parsed at: Pending
Created at: almost 4 years ago
Updated at: over 3 years ago
Pushed at: over 3 years ago
Last synced at: over 2 years ago
Topics: knn-classification, leaflet, lorawan, pyqt5, teensy36, thingspeak