These days, I find myself doing a great deal of Typescript, C#, Java, and the more prevalent web technologies such as Angular, Node.js, JQuery, and so forth. As a certified insomniac, technophile, and programming addict, I spend a good deal of time working on projects for myself while learning new languages and technologies. Recently, I've begun to dig deeper into languages and technologies such as Xamarin (IOS, Android, Windows apps), Microsoft's Service Fabric, and Windows 10 IoT.
My current Raspberry PI project is a Parking Assistant, written in Python. The hardware components of which consists of:
As you can see from the "Completed Enclosure" image above, my printer had some trouble with the large surface area. So, I'll need to do some reprinting. I think that my print bed has become somewhat warped, either that or I royally screwed up the leveling.
But, Dave!, you protest,These things already exist and are fairly cheap!! You're correct. However, there's no satisfaction in buying what I can create :) Besides, this was a good project to learn Python with. Not to mention, I can customize it to the gills - the distances, behaviors, display messages, etc. Sure, this has taken a few weeks to put together, but I've had a blast doing it.
Below are the articles that I used as reference material for the various circuits:
I'm a huge fan of home automation and have been working with technologies such as X10 for a long time now. A few years ago, I started upgrading my system to use newer technology such as Wink and smart sensors. So far, I am not a fan of having to maintain an internet connection to send out commands to a central server just to receive them back at my Wink Hub, but they are making more and more commands locally available and that is a good thing.
Just a few weeks ago, as my 2019 summer vacation drew to a close, I installed a Z-Wave plug for the pool pump and a Z-Wave controller for the outside garage. I've been working on hooking these new devices into Heather - my latest attempt at an automation assistant - so that she can control when the pump goes on based on the weather, current water level, time of day, and so forth. Also, the plan is for Heather to detect when I am arriving home and have her automatically open my garage for me when I'm in range (yes, the pinnacle of lazy). I've also been incorporating a good deal of APIs into her core (e.g., Honeywell TotalConnect). The plans are many, the work is much, but time is never seemingly on my side.
Heather is the third generation of voice-based automation assistants I've created over the years. I started with Colossus around 2004/2005-ish (yes, the name was inspired by the book/movie). I wrote the first version in Delphi Pascal - but soon moved on to Java. Colossus used X10 as the automation technology and utilized many of the burgeoning APIs of the time (e.g., some of Amazon's APIs to retrieve song/artist information, various weather services, etc.). Eventually I scrapped it all and started rewrote a good portion of Colossus in C# - it was a great learning exercise since so many features were in play (e.g., audio, video, voice recognition, etc.). At the same time, I moved away from Microsoft's default speech synthesis voices over to CereProc's smooth voices. The voice I selected was Heather - so it only seemed right to rename Colossus to Heather. This latest version is a hybrid of Node/TypeScript and C#.
My current Xamarin project is a rewrite of a Windows Universal Platform (UWP) project that I completed some months ago (see: inset image), that I run on my Windows 10 IoT Raspberry PI II Model B (RPI) that is currently sitting on my "Task Desk" in my home office. The app isn't meant to provide me with anything other than a quick visual of how the cryptocurrencies I've subscribed to are doing. There's a small heat strip on the top that indicates the trend of the recent price polls, as well as a simple, label-less line chart to show me the overall movement of the currency.