While there are great ressources out there, it took me a lot of effort to find them and put everything together.
Raspberry Pi Motion Sensitive Camera
The same instructions probably apply for all Pi models. If you use a normal webcam instead of the Pi camera modules, most of my ressources will not be helpful either. The official pi website also has good tutorials. Basically, I use these commands for recording images and video:. This should set you up for everything more advanced. For streaming video, there are basically the possibilities of using GStreamer, VLC, ffmpeg, netcat and mjpeg.
If you want to connect with multiple devices including Smartphones, this will probably not be your preferred option, but if you have one fixed machine as receiver, this should work fine.
For the other options, there is a decent article here describing each approach. It ultimately recommends using mjpeg. If you want to try it, use these commands:. Mainly I wanted to have both video and audio in my stream — which brings us first to network protocols and then to picam.
So read ahead with care. It appears there are two protocols for sending data over a network: TCP and UDP — see herehere or here for an explanation. Basically, TCP checks that no packets are lost slow and reliable while UDP just pushes packets over the network without any checks fast but unreliable. The simple streaming example with netcat above uses TCP.
The parent detector
Then there is the question of where to send your stream to. You can either send your stream directly to a certain IP which means you need to tell your pi where the stream is headed to or send it to a multicast adress in the range Or you can set up an rtsp server that will process incoming requests for streams.
This can also be adopted for a video stream see the links above. Setting up the usb microphone is well described in the article already mentioned above.Raspberry Pi Tutorial 13 - Shoot Video with Python
Now that we have set up both video and audio recording — how can we combine them in one file? It turns out this is not as easy as it should be. The instructions for installing picam are very clear and have worked for me without problems. Picam has support for http streaming built into it and the instructions page also adds details to passing the stream to different programs. While Node. The rtsp server appears to take about 30 seconds to start, so bootup time is not optimal, but currently I think this is sufficient.
Picam also appears to work well with other options like nginx — try on your own if required. There appear to be several possibilities to automatically start a program after a reboot, documented here. I use cron to start a script called autostart. Sidenotes: It appears to be helpful to add a short delay after boot to make sure everything is set up. Also, VLC offers the possibility to record your current stream. You can either find it in the menu or add it to the playback buttons.
In my case, the video is recorded to my local videos folder. Motion appears to be quite good at this and offers all kinds of features, with details for example here and here. If you want to do this in Phython, there are other options.This can either take place on the smartphone or on a PC fom outside of the home network.
For this purpose, we configure the Livestream of the Raspberry Pi security camera. The great thing is that almost every USB camera also webcams can be used. Depending on placement, e. However, we can also use the official camera, which is available in two versions:. The newer Zero models from generation 2 now also have CSI ports. However, this is the case with almost all newer cameras.
If our Raspberry Pi does not have an integrated wifi adapterwe may need one more because a network or Internet connection is unavoidable. Then you can install the Motion tool, which makes our Livestream possible. If everything has worked so far, the camera can be connected if not already done. If you are using a USB webcam, you can check if it has been detected:. If you are using one of the official camera modules, it is important to do the following so that the camera is displayed immediately preferably by autostart :.
If you have several devices connected, you have to select the device to transfer the stream. We will immediately specify the information for the resolution, etc. Further options port, etc. The brief description of the settings is however very revealing. Now we have to create the folder, which we have previously specified as the storage location for the captured frames, and give it the necessary writing rights:.
In order to test whether our camera is really sending live images, we basically have two options: One way is simply to use the browser Mozilla Firefox, Chrome, etc. Some older browsers do not support this stream Internet Explorer :-D. Those users may choose the Livestream e. Depending on the specified Framerate specified in the configuration file the image is better or not.My inspiration for making this was to help satisfy my curiosity about the behavior of my cats when I'm not home and to identify the local wildlife culprits that devour the plants in my garden.
There are commercial products that can do this but I thought it would be fun to build one that works exactly the way I desire. When motion is detected, the Raspberry Pi snaps a photo or records a short video and then uploads it to a DropBox account. The great thing about uploading to Dropbox is that the photos and videos are available to be viewed by the owner of the Dropbox account on any device laptop, desktop, tablet, smart phone from anywhere where internet access is available.
When the upload is complete, the program sleeps for a few seconds and then waits again for motion to be detected. There is a second constantly running Python program that monitors a switch on the side of the camera. This program illuminates an LED in the switch so you know when the camera is operational. When the program detects the switch being pressed, it blinks the LED in the switch and then halts the software in Raspberry Pi.
The LED in the switch turns off to indicate that it is safe to unplug the power to the camera. There is an additional LED mounted on one of the side panels that is illuminated when the Raspberry Pi is connected to power.
The parent detector
This instructable assumes you have basic experience with setting up and running a Raspberry Pi, that you have experience soldering, and that you have access to and experience with a laser cutter. Did you use this instructable in your classroom? Add a Teacher Note to share how you incorporated it into your lesson. A 45 watt Epilog Helix laser cutter at TechShop was used to cut out and engrave the parts.
All of the case parts can be cut out from one 24" x 18" sheet of the plywood. The design is shown in the first diagram. The black lines will be cut by the laser cutter; the blue lines will be etched using a low power cut; green text will be engraved; red lines will not be cut - they are included to show the outline of the parts.
I used the color mapping capability of the Laser cutter to specify the settings for cutting and engraving. The setting used are shown in the right hand side of the "Color Mapping" screen capture.
Photos 16 and 17 show a closeup of the cutouts that will be used for the screws and nuts that hold the case together. How these are used are described in step The laser cutting design files are in the ZIP file attached to this step. The file contains CorelDraw. Using the following parts: push button switch photo 1jumper wires photo 2ohm resistor photo 3and heat shrink tubing photo 4prepare the switch:. In this step, you will create a Dropbox platform app. Creating the app will allow the Raspberry Pi Motion Sensitive Camera to be able to upload photos and videos to your Dropbox account.
Create a Dropbox account if you don't have one already. If you already have a Dropbox account, sign in to Dropbox. The first step in preparing the Raspberry Pi is to install and configure the Raspbian software:.
The second step is to download the Python programs that control the shutdown switch and that snap pictures or take photos when motion is detected. Create the directory where the Python programs will reside and where the photos and videos will be stored using these commands:. The third step is to install the Dropbox uploader and configure it use the App key and the App secret from step 8 "Create the Dropbox Platform App".
Install the uploader with the following commands:. After installing the Dropbox-Uploader from git, change to the Python programs directory with the following command:. You should ignore the five things that are listed on the screen as things to do - you did those in the Step 8 of this instructable.That is a simple video capture unit that would be able to record video, in a loop, with the minimum amount of hardware and setting up.
I wanted a standard setup I could quickly deploy around the house, garden, car or bike. The software needed to be easy to setup so I could use it at short notice.
I also wanted it to be basic enough that someone else could use it as a basis for their own Pi camera projects. Re-inventing the wheel can be fun despite what other people might tell you! Although there are plenty of additional features I could have added I wanted to keep this simple. This was a quick way of giving me an LED and Switch without me needing to do any additional wiring.
In order to fit everything in the case I need to drill holes to accommodate the LEDs, buzzer and camera. The switch was recessed but still usable. Sticky pads were used to secure the camera in place.
The metal washer was glued in place on the outside to allow cheap magnetic lenses to be attached if required. In this project I used the Cyntech case as it is good value, easy to modify and has a nice Raspberry Pi logo on it. My friend Graham 3D printed me a plastic insert which held a metal nut compatible with my tripod.
This beautifully simple modification makes the whole unit easy to mount in a fixed position without having to balance it on piles of books.
When the Pi is powered up a cron job is started which looks for a network connection. If there is no network the main Python script is run. The main script reads the configuration file and starts recording a video file. When the pre-set duration is reached the file is closed and a new one is started. If the total number of video files reaches a pre-set limit then the oldest one is deleted. The device can continue recording over-writing files as required. When you are finished you can hold down the button to quit the script and shutdown the operating system.
The power can then be removed. Part 2 details the installation and setup procedure if you are interested in creating your own version. Very well done! I just saw this and im a newbie with the RPi and Linux. I learned a lot from this and I just want to say thank hou for posting this.
Can you pls share how to do this?In this article, you are going to learn that how you can use Raspberry pi camera module to take pictures and record videos. First, we will simply take pictures and record videos using the terminal and then we will write the python code that will take the pictures and will record videos. I have used Raspberry pi camera module V2. With the Raspberry pi switched off, lift up the tab of the camera port from the two edges of the port.
The camera module strip has one side covered with the blue cover at the bottom. Insert the camera module strip in to the camera port with the blue side of the camera module strip facing the Ethernet port and then lift down the tab.
This will capture the image after 5 seconds. If you are controlling your Raspberry pi through the Remote connection, then you will not see the preview window. If you want to capture the picture after some specific timethen use the following command. Now if you want to apply a vertical flip while capturing the image, then use the following command.
If you want to apply a horizontal flip while capturing the image, then use the following command. If you want to apply both horizontal and vertical flip while capturing the image, then use the following command. The picture are captured at the default resolution. If you want to capture the image at different resolutionthen use the below command. Now if you want to capture the image using the python code, then you will require a library for the camera module.
So run the following command in the terminal and your library will installed. To capture the image using python coderun the following code in the python file. To record a video, type the following command in the terminal.
Motion Triggered Video Recording
It will record a video of 5 seconds. To record the video for specific time. Following command will record the video for 15 seconds. Now if you want to watch the video you have recordedthen you will have to install the video player. Type the following command to install it. Then go to the directory where you have saved the video and type the following command.
To record the video using the python code, type the below code in the python file.Raspberry Pi Tutorials. It was a lot of fun to write and the feedback I got from readers like yourself made it well worth the effort to put together.
You can find the full demo video directly below, along with a bunch of other examples towards the bottom of this post. Update: 24 August — All code in this blog post has been updated to work with the Dropbox V2 API so you no longer have to copy and paste the verification key used in the video. Please see the remainder of this blog post for more details.
I am going to assume that you already have a Raspberry Pi and camera board. This post and associated code download now works with Dropbox API v2. Now that everything is installed and setup correctly, we can move on to actually building our home surveillance and motion detection system using Python and OpenCV.
For projects like these, I really find it useful to break away from command line arguments and simply rely on a JSON configuration file. Lines handle parsing our command line arguments. This JSON configuration file stores a bunch of important variables. Now that we have defined all of the variables in our conf. At this point it is important that you have edited the configuration file with your API key and Path.
To find your API key, you can create an app on the app creation page. If not, we initialize it as the current frame. For that particular example, this assumption worked well enough. But this assumption is also easily broken.
To combat this, we instead take the weighted mean of previous frames along with the current frame. To find regions in the image that pass the thresholding test, we simply apply contour detection.
If the regions are sufficiently larger enough, then we can indicate that we have indeed found motion in our current frame. Again, this code is quite self-explanatory. Simply navigate to the source code directory for this post and execute the following command:. Depending on the contents of your conf. This has been a great 2-part series on motion detection, I really hope you enjoyed it. So if you want to keep up to date regarding new posts on PyImageSearch, I would definitely recommend signing up for the PyImageSearch Newsletter at the bottom of this page.
And finally, if you enjoyed this tutorial, please consider sharing it with others! All too often I see developers, students, and researchers wasting their time, studying the wrong things, and generally struggling to get started with Computer Vision, Deep Learning, and OpenCV.
I created this website to show you what I believe is the best possible way to get your start. The Raspberry Pi 2 would require a WiFi dongle.This should be available on the Pi assuming you followed my Installing The Raspberry Pi Camera Module guide and upgraded your operating system. I would recommend you use an 8GB or larger SD card as you will find the space useful once you start capturing video. With the default options you will need up to MB per minute of HD video.
You want more than 5 seconds right? This will give you 60 seconds milliseconds of video. The default is usually There is no right or wrong answer when it comes to bitrates. You have to experiment and decide what gives you an acceptable result. As with capturing stills using raspistill there are a number of other advanced options you can use.
The Pi captures video as a raw H video stream. Luckily it is easy to wrap the data and produce a standard MP4 video file which should play in most media players. To do this wrapping we will use MP4Box which you can install using :. Once installed you can then use the following command to wrap your H video data in an MP4 container file. This will allow most media players to play the video. This will give you a nice video at 30 frames per second that should play in most modern media players.
Here are the details for reference :. This is installed by default on the latest Raspbian distribution but you can install manually using :. Excellent Post, very helpful. I have the camera outputting to sd card and over the Ethernet using netcat. I would like to make the camera output over the USB cable to the PC either to view on the screen or store to hard drive. How would I do that? I know the wireless access point modules exist.
Encoding external video would have to make do with the CPU and Pi is unlikely to cope. Hi matt, great articles.