homegui VS sbts-install

FWIW, I had similar experiences twice:

First with IKEA when they changed the lights on-power-up behavior on upgrade. This resulted in a hub becoming a 25 euro cc2531 stick on raspberry pi + Zigbee2mqtt and HomeBridge for integration with HomeKit.

And the past February Apple decided my Apple TV 3 was not good enough for being a home hub, and botched the entire home in the process, while I was away.

So now the whole HomeKit nonsense is out and instead there is a lightweight Rust app with a simple text file config doing both the orchestration and providing the light html UI.

https://github.com/ayourtch/homegui - in case anybody finds it useful.

As a bonus the users in the household praise the new system being much more responsive..

I am missing “turn all the lights off when last person leaves”, and full editing the colors via GUI, but not enough to bother to implement it :-)

I started with a similar path a few years ago - IKEA smart home gear. The controller went away fairly quickly. I stayed for a long time on raspberry pi + Zigbee stick from DeConz + Apple home integration using homebridge.io.

Deconz felt a bit bloated/buggy, so I switched to using a cheap USB stick from aliexpress, and using zigbee2mqtt, which turned out to be a pretty good combination.

Unfortunately Apple decided (while I was on a business trip) that Apple TV 3 was no longer good enough as a home hub, so all of my soft switches stopped working...

As a result in a couple of days I wrote a quick MVP replacement in Rust, which has been working very nice for me, and the "user" (significant other) feedback was that it is now much more reliable and responsive.

Putting it here in case anyone finds it useful.

https://github.com/ayourtch/homegui

Back in 2011 I made a commercial product that ran on the earliest plug computers from global scale technologies. I only sold 20 of 'em and every single one of them was being returned with SD card corruption problems. I had to quickly pivot to keeping the rootfs read-only. I've been a fan ever since.

Incidentally, that early commercial product was a home security product with a very small amount of home automation. I released this into open source with a new name in 2021 and now runs on the Jetson series SBCs (https://github.com/hcfman/sbts-install). Except then including high end YOLO models as triggers.

Because it was intended to be a standalone product it supported https with a GUI wrapper around all of the certificate operations. This still exists in my open source version, making it easy to use self signed certificates for intra-device rest calls.

But I've kept and expanded upon the multi-partition memory overlayFS approach and the installation of this system first asks you to install the sbts-base system, which installs the multi-partition memory overlayFS so that other's can use this as their own base systems.

Is anyone else using the StalkedByTheState security system? It runs on Jetson SBCs and works with the full sized yolov6 and yolov7 models.

Super proactive detection and response

https://github.com/hcfman/sbts-install

I use StalkedByTheState (https://github.com/hcfman/sbts-install) with 15 cameras all being evaluated with an NVIDIA GPU with large model yolov6 and matches double checked with large yolov7. Practically never get a false positive in a complex environment and never get a miss. The port to the Orin series still needs to be completed though.

Sweet! If you are prepared to spend more for more GPU compute power from Jetson SBCs you could use larger models. I’m busy adding the

https://www.deepfaune.cnrs.fr/

model to my security system software

https://github.com/hcfman/sbts-install

It’s almost there but still have to finish the install scripts for the Orin series.

The deep fauna model can be used for all of France’s fauna which includes foxes and badgers (and wolves, bears, lynxes and more of course).

Nice that you should say that :) I also wrote a home automation system.

Well... actually, it's a kinda burglar alarm except it's focus is alerting way ahead of actually getting inside. I added home automation bits (minimal) just so one can elicit a real world response, but I do use it for minimal home automation (Lights, heating control and letting the chickens in and out).

I have yet to announce on on hacker news and so because I still have to write a bunch of documentation. It uses the latest state of the art computer vision triggering, currently yolov7 and I'm about to release support for yolov6. It's multimodel, so you can double check it's result with more than one model, even for specific parts of an image.

The architecture diagam and installation instructions are here:

https://github.com/hcfman/sbts-install

I actually, started writing this in 2008 and most of the current state in terms of the user interface were finished in 2012 but I only released it into open source last year really. In 2019 I add support for yolov3 and have been adding models even since.

It's written in Java and installs in just two commands on nvidia jetsons at the moment (Not in containers). The inference framework is a simple websocket based wrapper around other models so it's easy to add new models and that's written in python.

Well I finish the new release to introduce yolov6 and support for the seeed studios platforms I'll make an announcement on hacker news, note I still have a lot of work to do on documentation.