Raspberry Pi 3

51 Articles

The Sensor Array That Grew Into A Robot Cat

March 6, 2018 by 32 Comments

Human brains evolved to pay extra attention to anything that resembles a face. (Scientific term: “facial pareidolia”) [Rongzhong Li] built a robot sensor array with multiple emitters and receivers augmenting a Raspberry Pi camera in the center. When he looked at his sensor array, he saw the face of a cat looking back at him. This started his years-long Petoi OpenCat project to build a feline-inspired body to go with the face.

While the name of the project signals [Rhongzhong]’s eventual intention, he has yet to release project details to the open-source community. But by reading his project page and scrutinizing his YouTube videos (a recent one is embedded below) we can decipher some details. Motion comes via hobby remote-control servos orchestrated by an Arduino. Higher-level functions such as awareness of environment and Alexa integration are handled by a Raspberry Pi 3.

The secret (for now) sauce are the mechanical parts that tie them all together. From impact-absorption spring integrated into the upper leg to how its wrists/ankles articulate. [Rongzhong] believes the current iteration is far too difficult to build and he wants to simplify construction before release. And while we don’t have much information on the software, the sensor array that started it all implies some level of sensor fusion capabilities.

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DIY Text-to-Speech With Raspberry Pi

March 2, 2018 by 10 Comments

We can almost count on our eyesight to fail with age, maybe even past the point of correction. It’s a pretty big flaw if you ask us. So, how can a person with aging eyes hope to continue reading the printed word?

There are plenty of commercial document readers available that convert text to speech, but they’re expensive. Most require a smart phone and/or an internet connection. That might not be as big of an issue for future generations of failing eyes, but we’re not there yet. In the meantime, we have small, cheap computers and plenty of open source software to turn them into document readers.

[rgrokett] built a RaspPi text reader to help an aging parent maintain their independence. In the process, he made a good soup-to-nuts guide to building one. It couldn’t be easier to use—just place the document under the camera and push the button. A Python script makes the Pi take a picture of the text. Then it uses Tesseract OCR to convert the image to plain text, and runs the text through a speech synthesis engine which reads it aloud. The reader is on as long as it’s plugged in, so it’s ready to work at the push of a button. We can probably all appreciate such a low-hassle design. Be sure to check out the demo after the break.

If you wanted to use this to read books, you’d still have to turn the pages yourself. Here’s a BrickPi reader that solves that one.

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PipeCam: Shallow-Water Exploration With Raspberry Pi

February 27, 2018 by 14 Comments

In what began as a personal challenge he issued to himself, [Fred] is in the process of building an underwater camera that’s capable of long-term photography in shallow waters. He’d like it to last about five hours on a charge while taking a photo every five minutes. Ideally, it will be as cheap as possible and constructed from readily available parts. Solving the cheap/available equation would theoretically make the camera easily to replicate, which is the third major requirement.

[Fred] has recently made great strides, both in the circuitry and the capsule design. The latest version uses a Raspberry Pi 3 with a V2 camera module and runs on a 12 V, 2.4 Ah rechargeable lead-acid battery. Everything is mounted on a piece of hardboard that slides into a 110mm piece of PVC. At one end, the camera looks out through a 10mm  acrylic lens fixed into a heavy-duty PVC fitting, and a DS1307 RTC provides a handy clock for shooting time lapses. With a friend’s help, he pressure-tested the housing and found that it can withstand 4 bar without leaking. He is still doing dry tests and trying hard to resist the urge to throw it in the water.

PipeCam is a work in progress, and [Fred] has many ideas for improvements. He’d like to add an Arduino to govern the battery use and provide its vital signs back to the Pi, and add an LDR to decide whether there’s enough light to warrant turning the Pi on to take pictures.

PVC is great for custom capsule building. But if you want to get started with underwater photography a little faster and want to build something instead of just buying a GoPro, try sealing your camera in something that’s already watertight.

Overclock Your Raspberry Pi The Right Way

January 16, 2018 by 28 Comments

The Raspberry Pi came upon us as an educational platform. A credit card sized computer capable of running Linux from a micro SD card, the Raspberry Pi has proven useful for far more than just education. It has made its way into every nook and cranny of the hacker world. There are some cases, however, where it might be a bit slow or seem a bit under powered. One way of speeding the Raspi up is to overclock it.

[Dmitry] has written up an excellent overclocking guide based upon Eltech’s write up on the subject. He takes it a bit further and applies the algorithm to both Raspi 2 and Raspi 3. You’ll need a beefier power supply, some heat sinks and fans – all stuff you probably have lying around on your workbench. Now there’s no excuse stopping you from ratcheting up the MHz and pushing your Pi to the limit!

We’ve seen several guides to overclocking the Raspi here on Hackaday, including the current record holder. Be sure to check out [dmitry’s] IO page for the overclocking details, and let us know of any new uses you’ve found by overclocking your Raspi in the comment below.

Distributed Air Quality Monitoring Via Taxi Fleet

November 20, 2017 by 11 Comments

When [James] moved to Lima, Peru, he brought his jogging habit with him. His morning jaunts to the coast involve crossing a few busy streets that are often occupied by old, smoke-belching diesel trucks. [James] noticed that his throat would tickle a bit when he got back home. A recent study linking air pollution to dementia risk made him wonder how cities could monitor air quality on a street-by-street basis, rather than relying on a few scattered stations. Lima has a lot of taxis, so why wire them up with sensors and monitor the air quality in real-time?

This taxi data logger’s chief purpose is collect airborne particulate counts and illustrate the pollution level with a Google Maps overlay. [James] used a light-scattering particle sensor and a Raspi 3 to send the data to the cloud via Android Things. Since the Pi only has one native UART, [James] used it for the particle sensor and connected the data-heavy GPS module through an FTDI serial adapter. There’s also a GPS to locate the cab and a temperature/humidity/pressure sensor to get a fuller environmental picture.

Take a ride past the break to go on the walk through, and stick around for the testing video if you want to drive around Lima for a bit. Interested in monitoring your own personal air quality? Here’s a DIY version that uses a dust sensor.

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Blast From The Past With Space Station PROM Reader

November 9, 2017 by 11 Comments

The Ursa Major Space Station SST282 is a dinosaur of a digital reverb.  Okay, so maybe 1978 isn’t ancient yet, but it is getting to the point where one has to worry about the possibility of component failure.  At least that’s what [Obsoletetechnology] thought when they created a backup of its memory contents.

As can be seen from some of Hackaday’s previous articles, a part does not have to be an older one to fail.  However, there is no such thing as being too paranoid when it comes to older parts reaching their lifetime.  Especially when there is valuable memory involved.  Each bit of PROM memory is locked by a fuse on its location grid to store permanent data.  To be able to read this and collect the respective data, a Raspberry Pi 3 PROM reader was created.

The SST282 uses 3 TTL-level 74xx series Schottky PROM memories on board that hold RAM lookup tables.  In the case that these failed, all of the subsequent information would be lost since there are no surviving memory dumps online.  Fortunately we are interested only in gathering their contents, so the PROM reader schematic is fairly rudimentary.  The chip’s address and data buses connect to a Pi’s GPIO header, and the only other thing to note is a 74LS541 TTL level shifter that converts the Pi’s 3.3V output to the PROM’s 5V TTL level.

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Haunting A Smart Mirror With Hue And Alexa

October 28, 2017 by 1 Comment

So, your smart mirror has been running for a while, but Halloween is coming up and you want to come up with some cool Halloween stuff to display on the mirror. If you’re looking for ideas, check out [Ben Eagan]’s cool Haunted Smart Mirror which connects the mirror via a Raspberry Pi with Amazon Alexa and Phillips Hue lighting.

[Ben] points to another of his blog pages for those readers interested in the nuances of setting up Alexa with a smart mirror, while concentrating on communication with the Hue bridge and creating the setup for a new Alexa command in this post. Dealing with the Phillips Hue API seems fairly straightforward: Get the IP address of your Hue bridge from your router and the ID of your lights from the Hue app and you’re set to send commands via HTTP. [Ben] includes a Python script to make the lights flicker, which you can modify for your own lights as you wish. Once that’s done, you’ll need to set up the intent that Alexa listens for, and then modify the AWS lambda function that sends commands to the Pi. When the command shows up in the queue on the Pi, any commands [Ben] wants to play are fired off – in this case, a video is played and the Hue lights start to flicker.

There’s no mention of security in the article, so that may be worth a little attention with Alexa and the Hue, but with Halloween coming up fast even if you haven’t built a magic mirror yet, if you’ve got Hue lights, this would be a great, quick, Halloween idea. Especially if you could combine it with your outside lights so that Trick-or-Treaters can join in on the fun. Maybe you’d prefer looking up passing planes using Alexa? Or how about getting your fish to talk?

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