Voice-Controlled Smart Home From The Foundation Up

Smart homes are becoming an increasingly popular way to automate one’s home, whether it’s turning on lights, closing blinds, or even feeding pets. But the commercial offerings often rely on an internet connection to reach servers in order to work, which invites a lot of privacy concerns for a large percentage of us as well as being inconvenient when the internet is down. Essentially the only way to have a privacy-respecting, self-sufficient smart home is to build one on your own from the ground up, which is exactly what [Xasin] has done with this project.

This build is based on ESP32 modules with a Raspberry Pi as a hub, but it’s not as simple as a MQTT implementation. Not only does the self-contained home automation setup not rely on any outside services, but a failure of the central Pi server will not impact the nodes either as they are configured to continue operating independently even without central control. This allows for a robust home automation implementation without a single point of failure, and also includes some other features that are helpful as well including voice control, all while retaining a core design philosophy that makes it relatively easy to build.

Not only is the build technologically impressive for its standalone capabilities and its elimination of privacy concerns, but [Xasin] also did an excellent job with the physical design as well, adding plenty of RGB and a hexagonal enclosure that gives it a unique look wherever its is placed. If you’re renting right now or otherwise unable to interface any automation with your current home, be sure to take a look at some projects that do home automation without making any permanent changes.

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Using A Laser To Blast Away A Bayer Array

A Bayer array, or Bayer filter, is what lets a digital camera take color photos. It’s an array of tiny color filters that sit on top of a camera’s CCD. The filter makes it so that each sub-pixel in the image sensor only sees red, green, or blue light. The Bayer filter is an elegant tool that gives us color digital photos, but what would you do if you wanted to remove one?

[Les Wright] has devised a way to remove the Bayer filter from the Raspberry Pi Camera. Along with filtering red, green, and blue light for their respective sensors, Bayer filters also greatly reduce the amount of UV and IR light that make it to the CCD sensor. [Les] uses the Raspberry Pi camera in his Pi-based Spectrometer, and he wants to remove the Bayer filter to improve and expand its sensitivity.

Of course, [Les] isn’t the first one to want to do this. Some have succeeded in physically scratching the filter off of the CCD, but because the Pi Camera has vital circuitry around the outside of the sensor, scratching the filter off would likely destroy the circuitry. Others have stripped it off using chemical means, so [Les] gave this a go and destroyed no small number of cameras in his attempt to strip the filter off with solvents like DMSO, brake fluid, and industrial paint stripper.

A look at the CCD, halfway through the process.

Inspired by techniques used in industry, [Les] eventually tried to use a several-kW nitrogen laser to burn off the filter (which seems appropriate given his experience with lasers). He built a rig that raster scans the laser across the sensor using stepper motors to drive micrometer bases. A USB microscope was included to allow progress to be monitored, and you can see a change in the sensor’s appearance as the filter is removed.

After blasting off the Bayer filter, [Les] plugged his improved camera into his home-built spectrometer and pointed it outside. The new camera gives the spectrometer much more uniform sensitivity and allows [Les] to see further into the IR and UV bands. The spectrometer can even detect the Fraunhofer lines—subtle dips in the sun’s spectrum from absorption by molecules in the atmosphere.

This is incredible for a DIY setup and instrument, and we can’t wait to see what [Les] does next to improve his measurements. If your spectrometry needs are more mass than visual, take a look at this home-built mass spectrometer. Home spectrometers aren’t just for examining light spectra—they can also be used to judge the ripeness of fruit!

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SBITX: Hackable HF SDR For The Raspberry Pi

Cheap, easy to use SDR dongles are an immensely powerful tool for learning about radio technology. However, building your own SDR is not something too many hackers are confident to tackle. [Ashhar Farhan, VU2ESE] hopes to change this with the sBITX, a hackable HF SDR transceiver designed around the Raspberry Pi.

[Ashhar] introduced the project in talk at the virtual “Four Days In May” annual conference of the QRP Amateur Radio Club International. Watch the full talk in the video after the break. He first goes over the available open source SDR radios, and then delves into his design decisions for the sBITX. One of the primary goals of the project was to lower the barrier of entry. To do this, he chose the Raspberry Pi as base, and wrote C code that that anyone who has done a bit of Arduino programming should be able to understand and modify. The hardware is designed to be as simple as possible. On the receive side, a simple superheterodyne architecture is used to feed a 25 kHz wide slice of RF spectrum to an audio codec, which send the digitized audio to the Raspberry Pi. The signal is then demodulated in software using FFT. For transmit, the signal is generated in software, and then upconverted to the desired RF frequency. [Ashhar] also created a GUI for the 7″ Raspberry Pi screen.

At the moment the sBITX is still in the development stage, information is spread between the video after the break, it’s accompanying PDF, the GitHub repo, and a thread on the BITX20 group.

[Ashar Farhan] is well known in the ham radio community for low cost radio designs like the BITX, and it’s successor, the μBITX. He also created the Antuino, an Arduino based antenna tester. Continue reading “SBITX: Hackable HF SDR For The Raspberry Pi”

Cablecam Is An Exercise In System Integration

Drones have become the standard for moving aerial camera platforms, but another option that sees use in the professional world are cable cameras. As an exercise in integrating mechanics, electronics, and software, [maxipalay] created his own Cablecam.

Cablecam is build around a pair of machined wood plates, with some pulleys and motor reduction gearing between them. A brushless hobby motor moves the platform along the rope/cable, driven a drone ESC. Since the ESC doesn’t have a reverse function, [maxipalay] used four relays controlled by an Arduino to swap around the connections of two of the motor wires to reverse direction. The main onboard controller is a Raspberry Pi, connected to a camera module mounted on a two-axis gimbal for stabilization. A GPS module was also added for positioning information on long cables.

The base station is built around an Nvidia Jetson Nano connected to a 7″ screen mounted in a plastic case. Video, telemetry and control signals are communicated using the open-source Wifibroadcast protocol. This uses off-the-shelf WiFi hardware in connectionless mode to broadcast UDP packets, and avoids the lengthy WiFi reconnection process every time a connection drops out. The motion of Cablecam can be controlled manually using a potentiometer on the control station, or use the machine vision capabilities of the Jetson to automatically track and follow people.

We’ve seen several cable robots over the years, including a solar-powered sensor platform that resembles a sloth.

Raspberry Pi Crammed Into Old Film Camera

If you wanted an expensive film camera when you were a kid, you are in luck. Used film SLRs are super cheap now that everyone wants digital cameras. Of course, in reality, you want a digital camera, too. So do what [befinitiv] did. Make a film cartridge out of a Raspberry Pi that can convert your camera to digital. (Video, embedded below.)

In theory, this sounds like a genius idea. The practical aspect isn’t perfect, though. For one thing, the small image sensor used means that the camera is zoomed in quite a bit. Also, the shutter button isn’t integrated, so the shutter is open all the time. You may think that doesn’t matter, but don’t forget that the way an SLR works means if the shutter is open, there’s no viewfinder.

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Cloud-Based Atari Gaming

While the Google Stadia may be the latest and greatest in the realm of cloud gaming, there are plenty of other ways to experience this new style of gameplay, especially if you’re willing to go a little retro. This project, for example, takes the Atari 2600 into the cloud for a nearly-complete gaming experience that is fully hosted in a server, including the video rendering.

[Michael Kohn] created this project mostly as a way to get more familiar with Kubernetes, a piece of open-source software which helps automate and deploy container-based applications. The setup runs on two Raspberry Pi 4s which can be accessed by pointing a browser at the correct IP address on his network, or by connecting to them via VNC. From there, the emulator runs a specific game called Space Revenge, chosen for its memory requirements and its lack of encumbrance of copyrights. There are some limitations in that the emulator he’s using doesn’t implement all of the Atari controls, and that the sound isn’t available through the remote desktop setup, but it’s impressive nonetheless

[Michael] also glosses over this part, but the Atari emulator was written by him “as quickly as possible” so he could focus on the Kubernetes setup. This is impressive in its own right, and of course he goes beyond this to show exactly how to set up the cloud-based system on his GitHub page as well. He also thinks there’s potential for a system like this to run an NES setup as well. If you’re looking for something a little more modern, though, it is possible to set up a cloud-based gaming system with a Nintendo Switch as well.

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Create Large Scale Domino Art With A Robot

Creating large domino art displays is a long and nerve-racking process, where bumping a single domino can mean starting from scratch. To automate the process of creating these displays, a team consisting of [Mark Rober], [John Luke], [Josh], and [Alex Baucom] built the Dominator, a robot capable of laying 100 000 dominos just over 24 hours. Video after the break.

[Mark Rober] had been toying with the idea for a few years, and the project finally for off the ground after [Mark] mentioned it in a talk he gave at the 2019 Bay Area Maker Faire. To pull it off, the team created an entire domino laying system, including an automated loading station, a precision indoor positioning system, and the robot itself. The robot is built around a frame of aluminum extrusions, riding on three omnidirectional wheels driven by precision servo motors. A large tray mounted to the front of the robot can hold and release 300 dominos at a time. The primary controller is a Raspberry Pi 4, which receives positioning information from a Marvelmind indoor positioning system and a downward-facing IR camera that looks for reflective markers on the floor. The loading system uses a conveyor system to feed the different colored dominos to an industrial Kuka robot that drops them down a grid of tubes that can hold multiple layers at once.

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