The Goal is...
to connect all the sources of information from our houses to the lighting system to produce a dynamic home environment where information is streamed to the users through a noninvasive and disrupted channel and, this way, avoiding a chain of human micro mental interruptions, like the ones that we have during all day produced by the mobile apps notifications and/or wall panels sounds or blinks and that causes anxiety, stress, and human disconnection.
Since time is short, the challenge of the prototype is to try to stream the room temperature to the room lighting system (one room only). If the room contains a white ambiance bulb then the intensity will increase or decrease based on configured rules but, if the room has a color ambiance bulb then the color will be switching based on the same rules.
How?
The Nerves app that is going to be developed and deployed on a raspberry pi, will be collecting the room temperature and, based on some rules, communicating to the Hue bridge through the local interface to change either the intensity or the color of the bulb of that room.
Notes
More information will be added as it goes...
Looking for hackers with the skills:
This project is part of:
Hack Week 18
Activity
Comments
Be the first to comment!
Similar Projects
Build a Single Camera 3D Scanner (Photogrammetry). by lparkin
Description
I want to see how fast I can develop a single-camera (pi camera module v3) rig with a stepper motor controlling a turntable that rotates the model being scanned. The trick here is not to be super fancy with 100's of sensors and data inputs, quite the opposite. I want to see how accurate I can scan objects into 3D-printable models using only a camera and as many fixed and known parameters as possible.
Speed to be augmented with agentic AI coding companion. As it stands, I have a 3D printer, pretty much all the electronics I need.
Goals
- Design and print working/workable camera rig
- Design and print working/workable turntable (considering printing my own cylinder-style bearings as well)
- Assemble rig components into MVP assembly
- Develop application that can hook into existing tools, or leverage a library like openCV, to process 2D images into a 3D model.
- Iterate until models are good enough to 3D print.
Resources
- https://www.instructables.com/3D-scanning-Photogrammetry-with-a-rotating-platfor/
- https://www.instructables.com/3d-Scan-Anything-Using-Just-a-Camera/
- https://www.instructables.com/Build-a-DIY-Desktop-3d-Scanner-With-Infinite-Resol/
- https://www.instructables.com/3D-Laser-Scanning-DIY/