ar drone parrot api
Cylon.js + Parrot AR. Take control of a flying drone. This example illustrates how to use the Leap Motion Controller and your computer keyboard to control an AR.Use one hand to drive the drone (takeoff, land, up, down, etc.) and the arrow keys to perform some cool stunts. For an annotated version of this code example, click here.in Internet of Things (IoT) OverviewIngredientsArchitectureSetting up the DroneSetting up BluemixSetup the Drone GatewayNode-RED applicationConclusion Architecture Setting up the DroneUnpack the AR Drone from the package.Place the drone on a flat surface and connect the battery. The AR Drone will run a self diagnostic. After a few seconds, propellers will flicker one by one. After this, if all the lights under the propellers are green, you are good to go. Setting up the Drone Unpack the AR Drone from the package. Place the drone on a flat surface and connect the battery. The AR Drone will run a self diagnostic. After this, if all the lights under the propellers are green, you are good to go.
The drone will create a WiFi network whose name starts with ardrone2, followed by an ID. Now connect to this WiFi, from your WiFi enabled device(Laptop/Raspberry Pi) NOTE : Use another network interface to maintain connection to the internet. You can use a Ethernet cable or have another WiFi Interface. You will need internet to connect to IBM Bluemix For this tutorial you will need to setup the Watson IoT and Cloudant services. Also, this tutorial tweets the picture captured from the Drone, so you will need to generate the keys from Twitter as well. For registering the drone in the Watson IoT Platform, follow this recipe which will help you to Create Watson IoT service Go to the Watson IoT Dashboard Create a Device Type – For this tutorial, you can name it “Drone“ Create a Device – For this tutorial, you can name it “Drone1“. Note down the device credentials that you get in the last screen of the device registration. After finishing “How to Register Devices in IBM Watson IoT Platform” recipe, next we will create a cloudant instance.
Go to your Bluemix Catalog Navigate to the Data and Analytics section. Click on Cloundant NoSQL DB. Leave it Unbounded and Click on Create After you have created the Cloudant service, note down the credentials – Username and Password. You can get this values from the VCAP environment variables. You will need the following of properties for your application to use Twitter: Follow the steps below to create Twitter Keys Click on Create New App. Enter the Name, Description and Website. Callback URL is not needed. Click on Create your Twitter Application. Your Twitter applicaation will be created. Go to Keys and Access Tokens tab to get the Tokens Note down the Consumer Key and Secret. Next, we will create the Access Tokens, go to the Your Access Tokens section and click on Create my Access Token. Now note down the Access Token and Secret. Now we have setup the Bluemix services and Twitter, Next we will learn how to setup the code on the local machine.
Now all the dependencies are installed. Edit the configuration file config.json with the credentials you copied in the previous step. Update the device your registered in Watson IoT in the iotconfig section. And update your twitter credentials in the twitConfig section. Also, update the cloudant credentials in the cloudantConfig. Now this program does the following Sends Drone statistics events to Watson IoT E.g : isFlying, battery Listens for commands from Watson IoT. It listens for Takeoff, land, tweet commands from the Watson IoT platform Sends images to Cloudant DB every 2 seconds. Now you have finished the setup in the Gateway. Next you will learn how to send commands from a Node-RED application to Take Off, Land and Tweet You will use the following Node-RED flow to control the drone. Open your Node-RED Dashboard. You can run Node-RED either in IBM Bluemix or on your local machine. Click on Menu -> Import -> Clipboard. Paste the following JSON.
Your flow in Node-RED should look like below. Now we need to add the credentials of the Watson IoT. Double click on IBM IoT App Out. Now add your Watson IoT credentials in this node. Click on the pencil icon to add the credentials. You need you API-KEY and API-TOKEN of your IBM Watson IoT organization. If You have changed the name of the device registered, now you can edit the Device Id and Device Type, else you do not have to edit any other property and Click OK.(On the top right corner) Now the flow is active. You can now play with Drone with commands sent from this Node-RED. In this tutorial you have learnt how to connect AR Parrot Drone with IBM Watson IoT. And also how to control it remotely with Node-RED.Ever since we played with the original AR drone back at CES a few years ago, we’ve been keeping an eye on them. While we all agree there are better quadcopters out there, the price point for a ready-to-fly quadcopter of this size is really great with these.
When the fake video from FPS Russia of the weaponized drone made the rounds earlier this year, we were surprised at how people reacted. Anyone who has messed with quadcopters recognized it as fake right off the bat (not to mention the overly cliche fake russian character). We won’t be adding a full fledged firearm to this. Mainly because it simply can’t lift the weight (There are ones that can, but we couldn’t justify the cost just for that). We do have some ideas though. Lets go over the specs of the AR Drone 2.0 first. The manufacturer is pretty good about sharing information. They have a decent breakdown of the specs as well as a full SDK available for writing apps for the AR drone. *We’re assuming they mean 1Gigabyte of RAM there on the specs. As you can see, it has decent specs for the $299 price tag. This is partially due to the fact that it uses wi-fi for control. A decent radio system would greatly increase the distance (and probably response), but would have added another $100 to the price tag.
This isn’t a full review of the AR Drone. I didn’t run it through any tough tests, nor compare it to similar sized and outfitted competitors. I just pulled it out of the box, flew it around a bit, and started thinking about how best to make it preposterously dangerous. During this time, I found that the Wi-Fi control system works fairly well. There’s not really a discernible lag between motions on the iPhone and motions on the drone. The drone was fairly stable both indoors and out, though it really didn’t like ceiling fans. I started taping things to it to see how it would respond. As you get too much weight on it, you start to see that the stabilization system twitches attempting to keep it level. This happens long before it physically can’t lift things. It shouldn’t be an issue though as I only noticed it while attempting to hover in place. Battery life is greatly reduced though with any additional weight. This is a pain in the butt because the stock battery only offers roughly 8 min of un-weighted flight on a 1.5 hour charge.