SDK is free and comes with full documentationYou will also find sample code in most common programming languages. You can write some code for your smartphone, your smartwatch, or your VR glasses!The only limitation is your imagination Share your code on GitHub, create and promote your app with fun videos Best projects will be awarded by Parrot! Paparazzi UAV for Bebop 1 and Bebop 2 Paparazzi UAV (Unmanned Aerial Vehicle) is an open-source drone hardware and software project encompassing autopilot systems for multicopters/ multirotors, fixed-wing, helicopters and hybrid aircraft. Paparazzi, being open, enables users to add more features and improve the system. Using and improving Paparazzi is encouraged by the community. Parrot joined The Dronecode project in 2015 The Dronecode Project is an open source, collaborative project that brings together existing and future open source drone projects under a nonprofit structure governed by The Linux Foundation.

The result will be a common, shared open source platform for Unmanned Aerial Vehicles (UAVs). ROS packages for Bebop 1 and Bebop 2 The Robot Operating System (ROS) is a set of software libraries and tools that help you build robot applications. From drivers to state-of-the-art algorithms, and with powerful developer tools, ROS has what you need for your next robotics project. And it's all open source. Here are some amazing apps already using our SDK Learn to code and create something amazing with drones! Capture your fun and all the action without using your flight controls First person VR piloting for the Jumping Sumo Learn to program Arduino, drones, robots, connected toys, and smarthome devices, all wirelessly Select a flight plan and capture image data, ready for creating georeferenced maps Follow-me and attack mode for the Jumping Sumo! Become a Parrot Developer 1 : Register on the dev forum 2: Apply for developer discount

3 : Write some code!The guide will help you to get started with NodeCopter hacking in any All NodeCopter hacking is done using the Parrot AR Drone The AR Drone 1.0 may also be supported by some libraries, but most of the community uses 2.0 drones. We are not married to the Parrot drones, but so far we have not found anyparrot ar drone ekşi alternatives that offer competitive pricing, automatic hovering, globalparrot ar drone toys r us distribution, easy repairs and are shipped fully assembled.parrot ar drone expansys In most countries the best place to buy a drone is your national version of won’t get a discount, but shipping is usually very fast and they often also carry the repair parts you may need.

If Amazon is not a viable option for you, you should consider the manufacturers Shipping can be slow, but they can deliver all parts to almost any country in For those willing to go the extra mile for a good deal, we recommend Ebay orYou can often find used drones or drones with minor damage. Repairing the drones is easy, so unless the damage is much bigger than advertised, you should be able to save a decent amount of money. Last but not least, there are several brick and mortar retailers, you can find Before starting your drone for the first time, you may want to know about this: Make sure that you have Node.js installed. First off, you should get the FreeFlight app for your iOS device if you don’t have it already. Now connect to the drone’s WiFi with your smartphone, start the FreeFlight app and make a test flight with it’s Piloting feature to learn how the drone behaves. It’s also a good time to check if the firmware of the drone is up to date.

setup the drones for exact instructions. But controlling the drone with the phone is boring, let’s program it! the drone’s WiFi with your laptop and install the ar-drone module: Once you’ve done that, save this to a file:See how your drone takes of, rotates clockwise and even does a flip!Now you’re set, go ahead and get crazy! Per default, the drone will only fly very slowly and won’t fly higher than 3m. These limits can be lifted via the mobile app or a library that supports it. Here is an example for setting the limit to 100m using the Looks like the emergency mode is in effect. To easy ways to fix this: Normally, if you’re connected to your drone’s WiFi you don’t have connection toThis is not very convenient, so an easy way out is letting the AR drone connect to a WiFi accesspoint. Connect to an open network If you have access to an open network (no WPA or similar), you can simply:iwconfig ath0 mode managed essid [ssid];

ifconfig ath0 [wanted ip] netmask 255.255.255.0 up; Thank you @karlwestin for this gist. Connect to a network secured with WPA In order to connect to a secure network, you need to install WPA support on your drone. The good news is that @daraosn took the time to cross-compile wpa_supplicant and write some handy install scripts. Just checkout the ardrone-wpa2 repo on githbub and follow the instructions there. Check out this gist so see how to connect an Arduino to a drone! Have you written a nodecopter module? Add it by editing this NodeCopter Modules on npm Might take some time on first load Module must be on npm with `nodecopter` in the name or description.Parrot ARDrone 2.0 Video Streaming through OpenCV in Linux Recently, I got the Parrot ARDrone 2.0. Enjoying taking control of electronics and software, I wanted to write my own code that will stream the video from the quadcopter to my computer and give me the ability to process the individual video frames with OpenCV.

There are lots of examples how to do this for ARDrone 1.x, but virtually nothing for ARDrone 2.0, which completely changed the way it’s streaming the video. After many hours of research and putting different pieces of code together, I got it to work on ARDrone 2.0. In this post, I will show you how to do it. This code relies heavily on the official Linux SDK for ARDrone 2.0. You can download the SDK from here: The Linux example in the SDK is way too bloated for someone to quickly fudge a working video demo from it. Luckily, good people are out there, and folks shared a stripped down version of a simple video output code. ARDrone 2.0 Video Output ExampleIf you’re on Ubuntu as I am, you can just install it using the Synaptic manager. Don’t forget to install libcv and libcv-dev. In fact, install dev packages for all the OpenCV packages you’ll install. The minimum should include these: I installed them all, but I think only the above listed ones suffice for this project.

Now extract the downloaded video example code to the folder ARDrone_SDK_2_0/Examples/Linux/, where ARDrone_SDK_2_0 is the directory containing your extracted ARDrone 2.0 SDK. So after you extract the example into that location, you will have a folder called sdk_demo under ARDrone_SDK_2_0/Examples/Linux/. Now we have to modify the Make file to include OpenCV libraries. Credit for this and big help for tackling this problem comes from this site, which is tailored for ARDrone 1.x series: http://gauth.fr/2011/09/use-opencv-with-the-ar-drone-sdk. Open the file ARDrone_SDK_2_0/Examples/Linux/video_demo/Build/Makefile in your text editor and add the following under the line 44 (line containing GENERIC_INCLUDES:=$(addprefix -I,$(GENERIC_INCLUDES)): This will include the OpenCV header files in the compilation process. Below this line, there is a line saying: Rewrite it to contain this: This will include the OpenCV libraries during linking process. Next we need to make the modifications to the example source code to make it work with OpenCV.

First, the example uses PIX_FMT_RGB565 video encoding format. We need to switch to one that OpenCV works well with, which is PIX_FMT_RGB24. To do so, open ARDrone_SDK_2_0/Examples/Linux/video_demo/Sources/ardrone_testing_tools.c and change line 164 from This will effectively break the video output as written by this example, so now the only way to display the video is using OpenCV. That’s what we want, so it’s okay to disable the original video output capabilities. Next edit this source code file: ARDrone_SDK_2_0/Examples/Linux/video_demo/Sources/Video/display_stage.c. First, add the the OpenCV header files to the top of the file like so: Then add the following function to convert the video frames to OpenCV image objects: Then edit the following function in the code like so: I commented out all the old code in the function because we won’t be displaying the video output using that code anymore. It wouldn’t work with our new video format anyway. Now, we’re basically done.