I've been tinkering with my smart home for well over a decade, so it's rare that I come across anything that feels truly new. Sometimes, however, I find ideas that I've not seen before, and it's always a breath of fresh air. Quite literally, in the case of one of these projects.
My phone is constantly bombarded with notifications. I try to limit them as much as possible, but even so, they quickly become easy to ignore. Sometimes, Home Assistant needs to alert me about something important, such as a water leak being detected, and these are notifications I really don't want to miss. There are several methods I use to make notifications almost impossible to miss.
Standby mode is both a blessing and a curse. Fast startup times and background processes are convenient, but have you ever stopped to ask how much these services are worth to you per year?
As predominantly indoor creatures, it’s important to maintain a healthy habitat for the hacker. [Kishan Pratap Singh] designed a clever solution in AirSense, an ESP32-powered air filter.
If you’re thinking of cleaning the air in your environment, you might also want to know some properties about the air coming out of the filter. AirSense measures PM2.5 dust concentration, Air Quality Index (AQI), temperature, humidity, and atmospheric pressure. The various sensors are mounted along the exhaust path of the filter, which lets your know what kind of air it’s pumping out.
The system drives a 150 mm exhaust fan mounted in a 3D printed cap that pulls air through a cylindrical Xiaomi HEPA filter inside a perforated metal trash can enclosure. The ESP32 and an LCD readout of the environmental data also live in the cap, giving the device a sleek look. While [Singh] chose to run the filter continuously, we wonder if it might be interesting to set it up to only filter the air if air quality drops below a certain level to conserve power, especially if you’re on a time-of-use power plan. That would require redesigning the sensor assembly (or running the unit in reverse), so maybe it’s over-complicating things?
We’ve seen the Xiaomi Air purifier filter mentioned before, but under the auspices of hacking it’s filter DRM, an open source air filter designed by [Naomi Wu], and even an ESP32 pressed into service to plug an air purifier into Home Assistant.
In an ideal world, the role of technology would be to make all of our lives easier. And although all the ads suddenly appearing in our smart TVs and gaming systems might make it seem otherwise, some technology can still improve our lives if we work hard at it. For [Cian], that meant training a neural network to read his gas meter so he wouldn’t have to do it himself.
The root issue here is twofold, first that [Cian]’s gas company hasn’t upgraded their own technology to modern, remote-readable meters, and second that the meter can’t be read by a gas employee because it’s hidden in the depths of [Cian]’s basement. This latter fact requires him to delve into Moria-like depths to get to the meter, so the solution here was to place a Raspberry Pi in this location instead. With a camera pointed at the meter, it’s not quite capable of discerning digits on its own so a neural network was trained in order to get accurate readings of the dial. And, finally, since the machine is networked already [Cian] set it up to automatically notify the gas company of its reading so he is now completely out of the loop.
For automating tedious tasks like these, the Raspberry Pi with something like OpenCV as a computer vision tool is a fairly mature platform for light machine learning duties like these. We’ve seen license plate readers as well as neighborhood traffic surveys built on these platforms to help automate human labor away, making our lives easier one single-board computer at a time.
Smart bulbs are a common gateway into the world of smart home devices. Setting one up is as simple as screwing in a light bulb, and you get instant results with the ability to turn your lights on and off remotely, change the brightness, and even use different colors with the right bulbs. Smart bulbs aren't always the best solution to every problem, however.
If you don’t have sensors hidden all over your house, do you really have a smart home? These devices make it possible to use all sorts of useful automations and alerts, from turning on lights to avoiding thousands of dollars worth of damage.
Ring video doorbells are a popular choice as they're relatively affordable and simple to set up and use. The problem is that to use the best features of a Ring doorbell, such as accessing your video history, you need to pay for a subscription. If you don't want to keep paying to use a device you already bought, there is another option.
I spend a lot of time at my desk in my home office, and I use my smart speaker multiple times during the day. I wanted a more reliable way to interact with my voice assistant, so I decided to go old school and add a phone to my desk.
Water leak sensors are the smart home upgrade for everyone. Whether you live in a house or apartment, own or rent, these tiny devices can save you money and hassle.
I have a lot of smart home automations that can sometimes feel like magic. I still get a small thrill when I sit down in the reading chair in the living room, and the lamp next to the chair turns on automatically. While some automations can feel like magic, there are plenty of Home Assistant projects that can replicate actual magic.
I use local LLMs for multiple purposes, including stripping personal information from documents before I upload them to Claude or ChatGPT and generating a daily RSS digest for my Kindle. Despite the slow performance of even the smaller LLMs on my hardware, I use them for a number of things in my smart home.
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Back in the 1990s IBM had a pretty sizeable presence in the PC market, including its rather spiffy Aptiva series of PCs. Naturally their PCs had to feature heavily in another consumer-related thing that was popular in the 1990s, being smart home automation in the form of IBM Home Director. Recently [Ionic1k] took a look at this blast from the past, starting with one of the original IBM commercials.
At its core it used the same X10 protocol that similar solutions from RadioShack and others used, with many modules and packages you could get to use with it. You could also get a more bespoke installation performed at your home to move beyond mere X10, which some people are still finding when they’re buying a house.
Since this uses powerline communication, it required no wires to be run, just the requisite modules to be plugged into a power outlet, with the video demonstrating the basic setup and installation. The PC itself is plugged into the control module via the serial port, from which the Home Director control software can be used to create a configuration and control the state of connected modules.
Although X10 has the same issues as any kind of powerline communication, overall it seems like a very nice system, with a wide range of modules and absolutely easy to set up even for a casual Windows user.
Sold by German DIY store OBI, the OBI Energy Tracker is a €15 set of two devices, one of which you essentially stick on top of your existing electricity meter. This then allows for electricity usage to be measured and tracked, with the data sent to the second, gateway device. This latter cloud-bound device is linked to an OBI account via the heyOBI app. This correspondingly called for the gateway device to be reverse-engineered and freed from its cloud-based shackles, a task that [Aaron Christophel] happily took upon himself.
The whole process is also covered in two videos, with the first providing all the essentials on reprovisioning the original firmware for a local MQTT server in English, while the second, German-language video focuses on custom firmware for the ESP32-C3 inside of the gateway device.
Inside the reader device is a Cortex-M0+-based BAT32G135 MCU that communicates with the meter via its IR protocol. This is then communicated via 868 MHz LoRa to the gateway device that will be placed somewhere within Wi-Fi reach by the user. Inside this latter device is as mentioned the ESP32-C3, which by default runs firmware that communicates via secure MQTT with an AWS cloud instance for the typical cloud-based shenanigans.
The aforementioned reprovisioning option doesn’t require firmware flashing, just a handful of steps to follow. This involves fetching the 32-bit TEA key, generating your own PKI, running your own MQTTS-capable broker and having the provided Python script handle the rest from there.
Flashing custom firmware is the other option, with straightforward UART/JTAG reflashing sadly disabled by the manufacturer. With the effort required here you could perhaps argue that simply connecting the reader device to a custom gateway device might be a lot easier, especially if you already have a LoRa transceiver and associated hardware.
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