Tag Archives: OpenCV

Nandu’s lockdown Raspberry Pi robot project

Post Syndicated from Ashley Whittaker original https://www.raspberrypi.org/blog/nandus-lockdown-raspberry-pi-robot-project/

Nandu Vadakkath was inspired by a line-following robot built (literally) entirely from salvage materials that could wait patiently and purchase beer for its maker in Tamil Nadu, India. So he set about making his own, but with the goal of making it capable of slightly more sophisticated tasks.

“Robot, can you play a song?”

Hardware

Robot comes when called, and recognises you as its special human

Software

Nandu had ambitious plans for his robot: navigation, speech and listening, recognition, and much more were on the list of things he wanted it to do. And in order to make it do everything he wanted, he incorporated a lot of software, including:

Robot shares Nandu’s astrological chart
  • Python 3
  • virtualenv, a tool for creating isolating virtual Python environments
  • the OpenCV open source computer vision library
  • the spaCy open source natural language processing library
  • the TensorFlow open source machine learning platform
  • Haar cascade algorithms for object detection
  • A ResNet neural network with the COCO dataset for object detection
  • DeepSpeech, an open source speech-to-text engine
  • eSpeak NG, an open source speech synthesiser
  • The MySQL database service

So how did Nandu go about trying to make the robot do some of the things on his wishlist?

Context and intents engine

The engine uses spaCy to analyse sentences, classify all the elements it identifies, and store all this information in a MySQL database. When the robot encounters a sentence with a series of possible corresponding actions, it weighs them to see what the most likely context is, based on sentences it has previously encountered.

Getting to know you

The robot has been trained to follow Nandu around but it can get to know other people too. When it meets a new person, it takes a series of photos and processes them in the background, so it learns to remember them.

Nandu's home made robot
There she blows!

Speech

Nandu didn’t like the thought of a basic robotic voice, so he searched high and low until he came across the MBROLA UK English voice. Have a listen in the videos above!

Object and people detection

The robot has an excellent group photo function: it looks for a person, calculates the distance between the top of their head and the top of the frame, then tilts the camera until this distance is about 60 pixels. This is a lot more effort than some human photographers put into getting all of everyone’s heads into the frame.

Nandu has created a YouTube channel for his robot companion, so be sure to keep up with its progress!

The post Nandu’s lockdown Raspberry Pi robot project appeared first on Raspberry Pi.

Raspberry Pi retro player

Post Syndicated from Ashley Whittaker original https://www.raspberrypi.org/blog/raspberry-pi-retro-player/

We found this project at TeCoEd and we loved the combination of an OLED display housed inside a retro Argus slide viewer. It uses a Raspberry Pi 3 with Python and OpenCV to pull out single frames from a video and write them to the display in real time.​

TeCoEd names this creation the Raspberry Pi Retro Player, or RPRP, or – rather neatly – RP squared. The Argus viewer, he tells us, was a charity-shop find that cost just 50p.  It sat collecting dust for a few years until he came across an OLED setup guide on hackster.io, which inspired the birth of the RPRP.

Timelapse of the build and walk-through of the code

At the heart of the project is a Raspberry Pi 3 which is running a Python program that uses the OpenCV computer vision library.  The code takes a video clip and breaks it down into individual frames. Then it resizes each frame and converts it to black and white, before writing it to the OLED display. The viewer sees the video play in pleasingly retro monochrome on the slide viewer.

Tiny but cute, like us!

TeCoEd ran into some frustrating problems with the OLED display, which, he discovered, uses the SH1106 driver, rather than the standard SH1306 driver that the Adafruit CircuitPython library expects. Many OLED displays use the SH1306 driver, but it turns out that cheaper displays like the one in this project use the SH1106. He has made a video to spare other makers this particular throw-it-all-in-the-bin moment.

Tutorial for using the SH1106 driver for cheap OLED displays

If you’d like to try this build for yourself, here’s all the code and setup advice on GitHub.

Wiring diagram

TeCoEd is, as ever, our favourite kind of maker – the sharing kind! He has collated everything you’ll need to get to grips with OpenCV, connecting the SH1106 OLED screen over I2C, and more. He’s even told us where we can buy the OLED board.

The post Raspberry Pi retro player appeared first on Raspberry Pi.

DSLR Motion Capture with Raspberry Pi and OpenCV

Post Syndicated from Ashley Whittaker original https://www.raspberrypi.org/blog/dslr-motion-capture-with-raspberry-pi-and-opencv/

One of our favourite makers, Pi & Chips (AKA David Pride), wanted to see if they could trigger a DSLR camera to take pictures by using motion detection with OpenCV on Raspberry Pi.

You could certainly do this with a Raspberry Pi High Quality Camera, but David wanted to try with his swanky new Lumix camera. As well as a Raspberry Pi and whichever camera you’re using, you’ll also need a remote control. David sourced a cheap one from Amazon, since he knew full well he was going to be… breaking it a bit.

Breaking the remote a bit

When it came to the “breaking” part, David explains: “I was hoping to be able to just re-solder some connectors to the button but it was a dual function button depending on depth of press. I therefore got a set of probes out and traced which pins on the chip were responsible for the actual shutter release and then *carefully* managed to add two fine wires.”

Further breaking

Next, David added Dupont cables to the ends of the wires to allow access to the breadboard, holding the cables in place with a blob of hot glue. Then a very simple circuit using an NPN transistor to switch via GPIO gave remote control of the camera from Python.

Raspberry Pi on the right, working together with the remote control’s innards on the left

David then added OpenCV to the mix, using this tutorial on PyImageSearch. He took the basic motion detection script and added a tiny hack to trigger the GPIO when motion was detected.

He needed to add a delay to the start of the script so he could position stuff, or himself, in front of the camera with time to spare. Got to think of those angles.

David concludes: “The camera was set to fully manual and to a really nice fast shutter speed. There is almost no delay at all between motion being detected and the Lumix actually taking pictures, I was really surprised how instantaneous it was.”

The whole setup mounted on a tripod ready to play

Here are some of the visuals captured by this Raspberry Pi-powered project…

Take a look at some more of David’s projects over at Pi & Chips.

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This clock really, really doesn’t want to tell you the time

Post Syndicated from Ashley Whittaker original https://www.raspberrypi.org/blog/this-clock-really-really-doesnt-want-to-tell-you-the-time/

What’s worse than a clock that doesn’t work? One that makes an “unbearably loud screeching noise” every minute of every day is a strong contender.

That was the aural nightmare facing YouTuber Burke McCabe. But rather than just fix the problem, he decided, in true Raspberry Pi community fashion, to go one step further. Because why not?

The inventor of the clock holds it with the back facing the camera to show us how it works and is looking down at it.

Burke showing YouTube viewers his invention

On the back of the clock, alongside the built-in mechanism controlling the clock’s arms, Burke added a Raspberry Pi to control a motor, which he hooked up to a webcam. The webcam was programmed using open computer vision library OpenCV to detect whenever a human face comes into view. Why would a clock need to know when someone looks at it? We’ll come to that.

First up, more on how that webcam works. OpenCV detects when a pair of eyes is in view of the webcam for three consecutive frames. You have to be really looking at it, not just passing it – that is, you have to be trying to tell the time. When this happens, the Raspberry Pi rotates the attached motor 180 degrees and back again.

But why? Well:

A clock that falls off the wall when you look at it

hello #invention #robot #raspberrypi

Burke has created a clock which, when you look at it to tell the time, falls off the wall.

We know: you want your own. So do we. Thankfully, Burke responded to calls in the comments on his original video for a more detailed technical walkthrough, and, boy, did he deliver.

How I made A clock that falls off the wall when you look at it

I dunno why I sounded depressed in this video Original Video – https://www.youtube.com/watch?v=R3HUuf6LGQE&t=41s The Code – https://github.com/SmothDragon/Fa…

In his walkthrough video, you get a good look at Burke’s entire setup, including extra batteries to make sure your Raspberry Pi gets enough juice, advice on how to get to grips with the code, and even the slots your different coloured wires need to go in. And so very, very much duct tape. Who’s going to start a GoFundMe to get Burke the glue gun sticks he so desperately needs? And hit subscribe for his YouTube channel while you’re at it!

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Take the Wizarding World of Harry Potter home with you

Post Syndicated from Alex Bate original https://www.raspberrypi.org/blog/take-the-wizarding-world-of-harry-potter-home-with-you/

If you’ve visited the Wizarding World of Harry Potter and found yourself in possession of an interactive magic wand as a souvenir, then you’ll no doubt be wondering by now, “What do I do with it at home though?”

While the wand was great for setting off window displays at the park itself, it now sits dusty and forgotten upon a shelf. But it still has life left in it — let Jasmeet Singh show you how.

Real Working Harry Potter Wand With Computer Vision and ML

A few months back my brother visited Japan and had real wizarding experience in the Wizarding World of Harry Potter at the Universal Studios made possible through the technology of Computer Vision. At the Wizarding World of Harry Potter in Universal Studios the tourists can perform “real magic” at certain locations(where the motion capture system is installed) using specially made wands with retro-reflective beads at the tip.

How do Harry Potter interactive wands work?

The interactive displays at Universal Studios’ Wizarding World of Harry Potter have infrared cameras in place, which are ready to read the correct movements of retroflector-tipped wands. Move your wand in the right way, and the cameras will recognise your spell and set window displays in motion. Oooooo…magic!

How do I know this? Thanks to William Osman and Allen Pan, who used this Wizarding World technology to turn cheap hot dogs into their own unique wands! Those boys…

Hacking Wands at Harry Potter World

How to make your very own mostly-functional interactive wand. Please don’t ban me from Universal Studios. Links on my blog: http://www.williamosman.com/2017/12/hacking-harry-potter-wands.html Allen’s Channel: https://www.youtube.com/channel/UCVS89U86PwqzNkK2qYNbk5A Support us on Patreon: https://www.patreon.com/williamosman Website: http://www.williamosman.com/ Facebook: https://www.facebook.com/williamosmanscience/ InstaHam: https://www.instagram.com/crabsandscience/ CameraManJohn: http://www.johnwillner.com/

For his Raspberry Pi-enabled wand project, Jasmeet took that same Wizarding World concept to create a desktop storage box that opens and closes in response to the correct flicks of a wand.

A simple night vision camera can be used as our camera for motion capture as they also blast out infrared light which is not visible to humans but can be clearly seen with a camera that has no infrared filter.

So, the video stream from the camera is fed into a Raspberry Pi which has a Python program running OpenCV which is used for detecting, isolating and tracking the wand tip. Then we use SVM (Simple Vector Machine) algorithm of machine learning to recognize the pattern drawn and accordingly control the GPIOs of the raspberry pi to perform some activities.

For more information on the project, including all the code needed to get started, head over to hackster.io to find Jasmeet’s full tutorial.

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Playback your favourite records with Plynth

Post Syndicated from Alex Bate original https://www.raspberrypi.org/blog/playback-your-favourite-records-with-plynth/

Use album artwork to trigger playback of your favourite music with Plynth, the Raspberry Pi–powered, camera-enhanced record stand.

Plynth Demo

This is “Plynth Demo” by Plynth on Vimeo, the home for high quality videos and the people who love them.

Record playback with Plynth

Plynth uses a Raspberry Pi and Pi Camera Module to identify cover artwork and play the respective album on your sound system, via your preferred streaming service or digital library.

As the project’s website explains, using Plynth is pretty simple. Just:

  • Place a n LP, CD, tape, VHS, DVD, piece of artwork – anything, really – onto Plynth
  • Plynth uses its built-in camera to scan and identify the work
  • Plynth starts streaming your music on your connected speakers or home stereo system

As for Plynth’s innards? The stand houses a Raspberry Pi 3B+ and Camera Module, and relies on “a combination of the Google Vision API and OpenCV, which is great because there’s a lot of documentation online for both of them”, states the project creator, sp_cecamp, on Reddit.

Other uses

Some of you may wonder why you wouldn’t have your records with your record player and, as such, use that record player to play those records. If you are one of these people, then consider, for example, the beautiful Damien Rice LP I own that tragically broke during a recent house move. While I can no longer play the LP, its artwork is still worthy of a place on my record shelf, and with Plynth I can still play the album as well.

In addition, instead of album artwork to play an album, you could use photographs, doodles, or type to play curated playlists, or, as mentioned on the website, DVDs to play the movies soundtrack, or CDs to correctly select the right disc in a disc changer.

Convinced or not, I think what we can all agree on is that Plynth is a good-looking bit of kit, and at Pi Towers look forward to seeing where they project leads.

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Build a security camera with Raspberry Pi and OpenCV

Post Syndicated from Alex Bate original https://www.raspberrypi.org/blog/raspberry-pi-security-camera-opencv/

Tired of opening the refrigerator only to find that your favourite snack is missing? Get video evidence of sneaky fridge thieves sent to your phone, with Adrian Rosebeck’s Raspberry Pi security camera project.

Building a Raspberry Pi security camera with OpenCV

Learn how to build a IoT + Raspberry Pi security camera using OpenCV and computer vision. Send TXT/MMS message notifications, images, and video clips when the security camera is triggered. Full tutorial (including code) here: https://www.pyimagesearch.com/2019/03/25/building-a-raspberry-pi-security-camera-with-opencv

Protecting hummus

Adrian loves hummus. And, as you can see from my author bio, so do I. So it wasn’t hard for me to relate to Adrian’s story about his college roommates often stealing his cherished chickpea dip.

Garlic dessert

“Of course, back then I wasn’t as familiar with computer vision and OpenCV as I am now,” he explains on his blog. “Had I known what I do at present, I would have built a Raspberry Pi security camera to capture the hummus heist in action!”

Raspberry Pi security camera

So, in homage to his time as an undergrad, Adrian decided to finally build that security camera for his fridge, despite now only needing to protect his hummus from his wife. And to build it, he opted to use OpenCV, a Raspberry Pi, and a Raspberry Pi Camera Module.

Adrian’s camera is an IoT project: it not only captures footage but also uses Twillo to send that footage, via a cloud service (AWS), to a smartphone.

Because the content of your fridge lives in the dark when you’re not inspecting it, the code for capturing video footage detects light and dark, and records everything that occurs between the fridge door opening and closing. “You could also deploy this inside a mailbox that opens/closes,” suggests Adrian.

Get the code and more

Adrian provides all the code for the project on his blog, pyimagesearch, with a full explanation of why each piece of code is used — thanks, Adrian!

For more from Adrian, check out his brilliant deep learning projects: a fully functional Pokémon Pokédex and Santa Detector.

The post Build a security camera with Raspberry Pi and OpenCV appeared first on Raspberry Pi.

Security updates for Monday

Post Syndicated from ris original https://lwn.net/Articles/755796/rss

Security updates have been issued by Debian (batik, cups, gitlab, ming, and xdg-utils), Fedora (dpdk, firefox, glibc, nodejs-deep-extend, strongswan, thunderbird, thunderbird-enigmail, wavpack, xdg-utils, and xen), Gentoo (ntp, rkhunter, and zsh), openSUSE (Chromium, GraphicsMagick, jasper, opencv, pdns, and wireshark), SUSE (jasper, java-1_7_1-ibm, krb5, libmodplug, and openstack-nova), and Ubuntu (thunderbird).

Security updates for Wednesday

Post Syndicated from ris original https://lwn.net/Articles/755386/rss

Security updates have been issued by CentOS (java-1.7.0-openjdk, java-1.8.0-openjdk, kernel, libvirt, and qemu-kvm), Debian (procps), Fedora (curl, mariadb, and procps-ng), Gentoo (samba, shadow, and virtualbox), openSUSE (opencv, openjpeg2, pdns, qemu, and wget), Oracle (java-1.8.0-openjdk and kernel), Red Hat (java-1.7.0-openjdk, java-1.8.0-openjdk, kernel, kernel-rt, libvirt, qemu-kvm, qemu-kvm-rhev, redhat-virtualization-host, and vdsm), Scientific Linux (java-1.7.0-openjdk, java-1.8.0-openjdk, kernel, libvirt, and qemu-kvm), Slackware (kernel, mozilla, and procps), SUSE (ghostscript-library, kernel, mariadb, python, qemu, and wget), and Ubuntu (linux-raspi2 and linux-raspi2, linux-snapdragon).

Security updates for Monday

Post Syndicated from ris original https://lwn.net/Articles/754430/rss

Security updates have been issued by Debian (tiff and tiff3), Fedora (glusterfs, kernel, libgxps, LibRaw, postgresql, seamonkey, webkit2gtk3, wget, and xen), Mageia (afflib, flash-player-plugin, imagemagick, qpdf, and transmission), openSUSE (Chromium, opencv, and xen), SUSE (kernel), and Ubuntu (firefox).

Own your own working Pokémon Pokédex!

Post Syndicated from Alex Bate original https://www.raspberrypi.org/blog/deep-learning-pokedex/

Squeal with delight as your inner Pokémon trainer witnesses the wonder of Adrian Rosebrock’s deep learning Pokédex.

Creating a real-life Pokedex with a Raspberry Pi, Python, and Deep Learning

This video demos a real-like Pokedex, complete with visual recognition, that I created using a Raspberry Pi, Python, and Deep Learning. You can find the entire blog post, including code, using this link: https://www.pyimagesearch.com/2018/04/30/a-fun-hands-on-deep-learning-project-for-beginners-students-and-hobbyists/ Music credit to YouTube user “No Copyright” for providing royalty free music: https://www.youtube.com/watch?v=PXpjqURczn8

The history of Pokémon in 30 seconds

The Pokémon franchise was created by video game designer Satoshi Tajiri in 1995. In the fictional world of Pokémon, Pokémon Trainers explore the vast landscape, catching and training small creatures called Pokémon. To date, there are 802 different types of Pokémon. They range from the ever recognisable Pikachu, a bright yellow electric Pokémon, to the highly sought-after Shiny Charizard, a metallic, playing-card-shaped Pokémon that your mate Alex claims she has in mint condition, but refuses to show you.

Pokemon GIF

In the world of Pokémon, children as young as ten-year-old protagonist and all-round annoyance Ash Ketchum are allowed to leave home and wander the wilderness. There, they hunt vicious, deadly creatures in the hope of becoming a Pokémon Master.

Adrian’s deep learning Pokédex

Adrian is a bit of a deep learning pro, as demonstrated by his Santa/Not Santa detector, which we wrote about last year. For that project, he also provided a great explanation of what deep learning actually is. In a nutshell:

…a subfield of machine learning, which is, in turn, a subfield of artificial intelligence (AI).While AI embodies a large, diverse set of techniques and algorithms related to automatic reasoning (inference, planning, heuristics, etc), the machine learning subfields are specifically interested in pattern recognition and learning from data.

As with his earlier Raspberry Pi project, Adrian uses the Keras deep learning model and the TensorFlow backend, plus a few other packages such as Adrian’s own imutils functions and OpenCV.

Adrian trained a Convolutional Neural Network using Keras on a dataset of 1191 Pokémon images, obtaining 96.84% accuracy. As Adrian explains, this model is able to identify Pokémon via still image and video. It’s perfect for creating a Pokédex – an interactive Pokémon catalogue that should, according to the franchise, be able to identify and read out information on any known Pokémon when captured by camera. More information on model training can be found on Adrian’s blog.

Adrian Rosebeck deep learning pokemon pokedex

For the physical build, a Raspberry Pi 3 with camera module is paired with the Raspberry Pi 7″ touch display to create a portable Pokédex. And while Adrian comments that the same result can be achieved using your home computer and a webcam, that’s not how Adrian rolls as a Raspberry Pi fan.

Adrian Rosebeck deep learning pokemon pokedex

Plus, the smaller size of the Pi is perfect for one of you to incorporate this deep learning model into a 3D-printed Pokédex for ultimate Pokémon glory, pretty please, thank you.

Adrian Rosebeck deep learning pokemon pokedex

Adrian has gone into impressive detail about how the project works and how you can create your own on his blog, pyimagesearch. So if you’re interested in learning more about deep learning, and making your own Pokédex, be sure to visit.

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Security updates for Tuesday

Post Syndicated from ris original https://lwn.net/Articles/743700/rss

Security updates have been issued by Arch Linux (graphicsmagick and linux-lts), CentOS (thunderbird), Debian (kernel, opencv, php5, and php7.0), Fedora (electrum), Gentoo (libXfont), openSUSE (gimp, java-1_7_0-openjdk, and libvorbis), Oracle (thunderbird), Slackware (irssi), SUSE (kernel, kernel-firmware, and kvm), and Ubuntu (awstats, nvidia-graphics-drivers-384, python-pysaml2, and tomcat7, tomcat8).

Security updates for Friday

Post Syndicated from jake original https://lwn.net/Articles/741580/rss

Security updates have been issued by Debian (erlang), Fedora (python-dulwich), Gentoo (curl, opencv, openssl, and webkit-gtk), openSUSE (libapr-util1 and php5), Red Hat (qemu-kvm-rhev), and Ubuntu (linux, linux-aws, linux-kvm, linux-raspi2 and linux-lts-xenial, linux-aws).

BitBarista: a fully autonomous corporation

Post Syndicated from Alex Bate original https://www.raspberrypi.org/blog/bitbarista/

To some people, the idea of a fully autonomous corporation might seem like the beginning of the end. However, while the BitBarista coffee machine prototype can indeed run itself without any human interference, it also teaches a lesson about ethical responsibility and the value of quality.

BitBarista

Bitcoin coffee machine that engages coffee drinkers in the value chain

Autonomous corporations

If you’ve played Paperclips, you get it. And in case you haven’t played Paperclips, I will only say this: give a robot one job and full control to complete the task, and things may turn in a very unexpected direction. Or, in the case of Rick and Morty, they end in emotional breakdown.

BitBarista

While the fully autonomous BitBarista resides primarily on the drawing board, the team at the University of Edinburgh’s Center for Design Informatics have built a proof-of-concept using a Raspberry Pi and a Delonghi coffee maker.

BitBarista fully autonomous coffee machine using Raspberry Pi

Recently described by the BBC as ‘a coffee machine with a life of its own, dispensing coffee to punters with an ethical preference’, BitBarista works in conjunction with customers to source coffee and complete maintenance tasks in exchange for BitCoin payments. Customers pay for their coffee in BitCoin, and when BitBarista needs maintenance such as cleaning, water replenishment, or restocking, it can pay the same customers for completing those tasks.

BitBarista fully autonomous coffee machine using Raspberry Pi

Moreover, customers choose which coffee beans the machine purchases based on quality, price, environmental impact, and social responsibility. BitBarista also collects and displays data on the most common bean choices.

BitBarista fully autonomous coffee machine using Raspberry Pi

So not only is BitBarista a study into the concept of full autonomy, it’s also a means of data collection about the societal preference of cost compared to social and environmental responsibility.

For more information on BitBarista, visit the Design Informatics and PETRAS websites.

Home-made autonomy

Many people already have store-bought autonomous technology within their homes, such as the Roomba vacuum cleaner or the Nest Smart Thermostat. And within the maker community, many more still have created such devices using sensors, mobile apps, and microprocessors such as the Raspberry Pi. We see examples using the Raspberry Pi on a daily basis, from simple motion-controlled lights and security cameras to advanced devices using temperature sensors and WiFi technology to detect the presence of specific people.

How to Make a Smart Security Camera with a Raspberry Pi Zero

In this video, we use a Raspberry Pi Zero W and a Raspberry Pi camera to make a smart security camera! The camera uses object detection (with OpenCV) to send you an email whenever it sees an intruder. It also runs a webcam so you can view live video from the camera when you are away.

To get started building your own autonomous technology, you could have a look at our resources Laser tripwire and Getting started with picamera. These will help you build a visitor register of everyone who crosses the threshold a specific room.

Or build your own Raspberry Pi Zero W Butter Robot for the lolz.

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Sean Hodgins’ Haunted Jack in the Box

Post Syndicated from Janina Ander original https://www.raspberrypi.org/blog/sean-hodgins-haunted-jack-box/

After making a delightful Bitcoin lottery using a Raspberry Pi, Sean Hodgins brings us more Pi-powered goodness in time for every maker’s favourite holiday: Easter! Just kidding, it’s Halloween. Check out his hair-raising new build, the Haunted Jack in the Box.

Haunted Jack in the Box – DIY Raspberry Pi Project

This project uses a raspberry pi and face detection using the pi camera to determine when someone is looking at it. Plenty of opportunities to scare people with it. You can make your own!

Haunted jack-in-the-box?

Imagine yourself wandering around a dimly lit house. Your eyes idly scan a shelf. Suddenly, out of nowhere, a twangy melody! What was that? You take a closer look…there seems to be a box in jolly colours…with a handle that’s spinning by itself?!

Sidling up to Sean Hodgins' Haunted Jack in the Box

What’s…going on?

You freeze, unable to peel your eyes away, and BAM!, out pops a maniacally grinning clown. You promptly pee yourself. Happy Halloween, courtesy of Sean Hodgins.

Clip of Sean Hodgins' Haunted Jack in the Box

Eerie disembodied voice: You’re welco-o-o-ome!

How has Sean built this?

Sean purchased a jack-in-the-box toy and replaced its bottom side with one that would hold the necessary electronic components. He 3D-printed this part, but says you could also just build it by hand.

The bottom of the box houses a Raspberry Pi 3 Model B and a servomotor which can turn the windup handle. There’s also a magnetic reed switch which helps the Pi decide when to trigger the Jack. Sean hooked up the components to the Pi’s GPIO pins, and used an elastic band as a drive belt to connect the pulleys on the motor and the handle.

Film clip showing the inside of Sean Hodgin's Haunted Jack in the Box

Sean explains that he has used a lot of double-sided tape and superglue in this build. The bottom and top are held together with two screws, because, as he describes it, “the Jack coming out is a little violent.”

In addition to his video walk-through, he provides build instructions on Instructables, Hackaday, Hackster, and Imgur — pick your poison. And be sure to subscribe to Sean’s YouTube channel to see what he comes up with next.

Wait, how does the haunted part work?

But if I explain it, it won’t be scary anymore! OK, fiiiine.

With the help of a a Camera Module and OpenCV, Sean implemented facial recognition: Jack knows when someone is looking at his box, and responds by winding up and popping out.

View of command line output of the Python script for Sean Hodgins' Haunted Jack in the Box

Testing the haunting script

Sean’s Python script is available here, but as he points out, there are many ways in which you could adapt this code, and the build itself, to be even more frightening.

So very haunted

What would you do with this build? Add creepy laughter? Soundbites from It? Lighting effects? Maybe even infrared light and a NoIR Camera Module, so that you can scare people in total darkness? There are so many possibilities for this project — tell us your idea in the comments.

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Security updates for Monday

Post Syndicated from ris original https://lwn.net/Articles/735271/rss

Security updates have been issued by Arch Linux (dnsmasq), CentOS (firefox and nss), Debian (firefox-esr, ghostscript, libidn2-0, opencv, and otrs2), Fedora (moodle, php-horde-nag, php-horde-passwd, php-horde-wicked, php-symfony-security-acl, pkgconf, and xen), openSUSE (spice and weechat), Scientific Linux (firefox and nss), Slackware (openexr), SUSE (xen), and Ubuntu (ca-certificates, dnsmasq, and nss).

FRED-209 Nerf gun tank

Post Syndicated from Janina Ander original https://www.raspberrypi.org/blog/nerf-gun-tank-fred-209/

David Pride, known to many of you as an active member of our maker community, has done it again! His FRED-209 build combines a Nerf gun, 3D printing, a Raspberry Pi Zero, and robotics to make one neat remotely controlled Nerf tank.

FRED-209 – 3D printed Raspberry Pi Nerf Tank

Uploaded by David Pride on 2017-09-17.

A Nerf gun for FRED-209

David says he worked on FRED-209 over the summer in order to have some fun with Nerf guns, which weren’t around when he was a kid. He purchased an Elite Stryfe model at a car boot sale, and took it apart to see what made it tick. Then he set about figuring out how to power it with motors and a servo.

Nerf Elite Stryfe components for the FRED-209 Nerf tank of David Pride

To control the motors, David used a ZeroBorg add-on board for the Pi Zero, and he set up a PlayStation 3 controller to pilot his tank. These components were also part of a robot that David entered into the Pi Wars competition, so he had already written code for them.

3D printing for FRED-209

During prototyping for his Nerf tank, which David named after ED-209 from RoboCop, he used lots of eBay loot and several 3D-printed parts. He used the free OpenSCAD software package to design the parts he wanted to print. If you’re a novice at 3D printing, you might find the printing advice he shares in the write-up on his blog very useful.

3D-printed lid of FRED-209 nerf gun tank by David Pride

David found the 3D printing of the 24cm-long lid of FRED-209 tricky

On eBay, David found some cool-looking chunky wheels, but these turned out to be too heavy for the motors. In the end, he decided to use a Rover 5 chassis, which changed the look of FRED-209 from ‘monster truck’ to ‘tank’.

FRED-209 Nerf tank by David Pride

Next step: teach it to use stairs

The final result looks awesome, and David’s video demonstrates that it shoots very accurately as well. A make like this might be a great defensive project for our new apocalypse-themed Pioneers challenge!

Taking FRED-209 further

David will be uploading code and STL files for FRED-209 soon, so keep an eye on his blog or Twitter for updates. He’s also bringing the Nerf tank to the Cotswold Raspberry Jam this weekend. If you’re attending the event, make sure you catch him and try FRED-209 out yourself.

Never one to rest on his laurels, David is already working on taking his build to the next level. He wants to include a web interface controller and a camera, and is working on implementing OpenCV to give the Nerf tank the ability to autonomously detect targets.

Pi Wars 2018

I have a feeling we might get to see an advanced version of David’s project at next year’s Pi Wars!

The 2018 Pi Wars have just been announced. They will take place on 21-22 April at the Cambridge Computer Laboratory, and you have until 3 October to apply to enter the competition. What are you waiting for? Get making! And as always, do share your robot builds with us via social media.

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CoderDojo Coolest Projects 2017

Post Syndicated from Ben Nuttall original https://www.raspberrypi.org/blog/coderdojo-coolest-projects-2017/

When I heard we were merging with CoderDojo, I was delighted. CoderDojo is a wonderful organisation with a spectacular community, and it’s going to be great to join forces with the team and work towards our common goal: making a difference to the lives of young people by making technology accessible to them.

You may remember that last year Philip and I went along to Coolest Projects, CoderDojo’s annual event at which their global community showcase their best makes. It was awesome! This year a whole bunch of us from the Raspberry Pi Foundation attended Coolest Projects with our new Irish colleagues, and as expected, the projects on show were as cool as can be.

Coolest Projects 2017 attendee

Crowd at Coolest Projects 2017

This year’s coolest projects!

Young maker Benjamin demoed his brilliant RGB LED table tennis ball display for us, and showed off his brilliant project tutorial website codemakerbuddy.com, which he built with Python and Flask. [Click on any of the images to enlarge them.]

Coolest Projects 2017 LED ping-pong ball display
Coolest Projects 2017 Benjamin and Oly

Next up, Aimee showed us a recipes app she’d made with the MIT App Inventor. It was a really impressive and well thought-out project.

Coolest Projects 2017 Aimee's cook book
Coolest Projects 2017 Aimee's setup

This very successful OpenCV face detection program with hardware installed in a teddy bear was great as well:

Coolest Projects 2017 face detection bear
Coolest Projects 2017 face detection interface
Coolest Projects 2017 face detection database

Helen’s and Oly’s favourite project involved…live bees!

Coolest Projects 2017 live bees

BEEEEEEEEEEES!

Its creator, 12-year-old Amy, said she wanted to do something to help the Earth. Her project uses various sensors to record data on the bee population in the hive. An adjacent monitor displays the data in a web interface:

Coolest Projects 2017 Aimee's bees

Coolest robots

I enjoyed seeing lots of GPIO Zero projects out in the wild, including this robotic lawnmower made by Kevin and Zach:

Raspberry Pi Lawnmower

Kevin and Zach’s Raspberry Pi lawnmower project with Python and GPIO Zero, showed at CoderDojo Coolest Projects 2017

Philip’s favourite make was a Pi-powered robot you can control with your mind! According to the maker, Laura, it worked really well with Philip because he has no hair.

Philip Colligan on Twitter

This is extraordinary. Laura from @CoderDojo Romania has programmed a mind controlled robot using @Raspberry_Pi @coolestprojects

And here are some pictures of even more cool robots we saw:

Coolest Projects 2017 coolest robot no.1
Coolest Projects 2017 coolest robot no.2
Coolest Projects 2017 coolest robot no.3

Games, toys, activities

Oly and I were massively impressed with the work of Mogamad, Daniel, and Basheerah, who programmed a (borrowed) Amazon Echo to make a voice-controlled text-adventure game using Java and the Alexa API. They’ve inspired me to try something similar using the AIY projects kit and adventurelib!

Coolest Projects 2017 Mogamad, Daniel, Basheerah, Oly
Coolest Projects 2017 Alexa text-based game

Christopher Hill did a brilliant job with his Home Alone LEGO house. He used sensors to trigger lights and sounds to make it look like someone’s at home, like in the film. I should have taken a video – seeing it in action was great!

Coolest Projects 2017 Lego home alone house
Coolest Projects 2017 Lego home alone innards
Coolest Projects 2017 Lego home alone innards closeup

Meanwhile, the Northern Ireland Raspberry Jam group ran a DOTS board activity, which turned their area into a conductive paint hazard zone.

Coolest Projects 2017 NI Jam DOTS activity 1
Coolest Projects 2017 NI Jam DOTS activity 2
Coolest Projects 2017 NI Jam DOTS activity 3
Coolest Projects 2017 NI Jam DOTS activity 4
Coolest Projects 2017 NI Jam DOTS activity 5
Coolest Projects 2017 NI Jam DOTS activity 6

Creativity and ingenuity

We really enjoyed seeing so many young people collaborating, experimenting, and taking full advantage of the opportunity to make real projects. And we loved how huge the range of technologies in use was: people employed all manner of hardware and software to bring their ideas to life.

Philip Colligan on Twitter

Wow! Look at that room full of awesome young people. @coolestprojects #coolestprojects @CoderDojo

Congratulations to the Coolest Projects 2017 prize winners, and to all participants. Here are some of the teams that won in the different categories:

Coolest Projects 2017 winning team 1
Coolest Projects 2017 winning team 2
Coolest Projects 2017 winning team 3

Take a look at the gallery of all winners over on Flickr.

The wow factor

Raspberry Pi co-founder and Foundation trustee Pete Lomas came along to the event as well. Here’s what he had to say:

It’s hard to describe the scale of the event, and photos just don’t do it justice. The first thing that hit me was the sheer excitement of the CoderDojo ninjas [the children attending Dojos]. Everyone was setting up for their time with the project judges, and their pure delight at being able to show off their creations was evident in both halls. Time and time again I saw the ninjas apply their creativity to help save the planet or make someone’s life better, and it’s truly exciting that we are going to help that continue and expand.

Even after 8 hours, enthusiasm wasn’t flagging – the awards ceremony was just brilliant, with ninjas high-fiving the winners on the way to the stage. This speaks volumes about the ethos and vision of the CoderDojo founders, where everyone is a winner just by being part of a community of worldwide friends. It was a brilliant introduction, and if this weekend was anything to go by, our merger certainly is a marriage made in Heaven.

Join this awesome community!

If all this inspires you as much as it did us, consider looking for a CoderDojo near you – and sign up as a volunteer! There’s plenty of time for young people to build up skills and start working on a project for next year’s event. Check out coolestprojects.com for more information.

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