A 1:150th scale model of the USS Alaska (CB-01) powered by a Raspberry Pi 3. It is capable of propulsion and self-guidance. It also features a compressed air system and functional turrets to propel biodegradable airsoft rounds at targets. Painted with her Atlantic camouflage color scheme.
The 3rd iteration of a remotely controlled submersible vehicle powered by a Raspberry Pi 2. The motivation behind this project is to create a platform that can be used to explore underwater environments in search of aquatic life despite a lack of in-situ observations via baited sampling. The Mk.3 unit maximized the use of off-the-shelf hardware to minimize the printing requirements.
Identify intruders and alert residents of possible threats
Aggregate and display information on an unobtrusive display.
The Python Open Computer Vision module aids in both functions. OpenCV constructs a digital model of scene and uses mathematical operations to assess the threat posed by any motion. If a threat is detected when the residents are asleep or not home, an alert will be issued and pictures of the intruder will be automatically uploaded to the cloud.
One should never leave the safety of indoors during a lightning storm. This web-based project uses Augmented Reality methods to let users explore hazardous thunderstorms in the Washington, DC metro area without ever leaving the safety and comfort of home.
It uses a Python fork of the MINDEngine geoinformatics framework to create custom views of Lightning Mapping Array data on demand in real time so users can see the lightning developing all around them.
The true power of the Weather Archive is the server-side software that manages and displays the requested imagery. It is a highly-efficient geoinformatics engine built to take advantage of geoscience standards and convecntions. It is light enough to run on a Raspberry Pi 2, yet powerful enough to let the user decide exactly what plots they wish to create.