Connecting the Camera Module to Raspberry Pi

How to connect the camera module to Raspberry Pi can be seen in this video:

– a cable from the camera, carefully inserted into the connector located behind the Ethernet connector.

For this you need:

0. Turn off your Raspberry Pi.
1. gently lift (by 1-2mm) the plastic latch on the connector.
2. Gently insert the cable from the camera into the connector so that the contact pads of the cable look away from the Ethernet connector.
3. snap the plastic latch onto the connector.
Now the cable should be clamped in the connector and you can turn on the Raspberry Pi.

After loading the OS, run the setup
sudo raspi-config

Choose an item enable camerapress Enterand then Finish.
After that, you will be prompted to reboot (reboot).

To check the operation of the camera module, you can use the utility raspistill.

By executing the command
raspistill -o cam.jpg

you will get in the current directory, the file cam.jpg with the picture taken by the camera.

By default, the image will be 2592 x 1944 (5,038,848 pixels – the camera is 5 megapixels!)

You can use the MMAL and V4L API to access the camera.
MMAL (via OpenMAX) – Broadcom specific API used only on Videocore 4 systems.
raspistill uses to capture pictures /dev/vchiq.

Having learned how to take pictures using the camera, we can write a simple script:


DATE=$(date +"%Y-%m-%d_%H%M")

#raspistill -vf -hf -o /home/pi/camera/$DATE.jpg

# No vertical and horazontal flip
echo -n $DATE
raspistill -o /home/pi/camera/$DATE.jpg
echo " - ok"

We create in the home directory of the default user pi, the camera directory for storing images.
And now, we run the script to shoot every minute:

while :; do ./; sleep 1m; done

Voila! That’s just how we got from the Raspberry Pi and the camera module – a time-lapse camera 🙂

For the convenience of attaching and using the camera module, you can print the case on a 3D printer:

Raspberry Pi Camera for 3D Printer

Case for Raspberry Pi Camera printed on a 3D printer


To make a standard V4L device appear /dev/video0all you have to do is:

sudo modprobe bcm2835-v4l2

Since we already have a camera and V4L, we can quickly install OpenCV:

sudo apt-get install libopencv-dev

OpenCV computer vision library, installed in /usr/lib and now you can use the full power of computer vision on Raspberry Pi in your robotics projects!

To be continued…

Camera Module SETUP
Camera Module README
The Raspberry Pi Camera Module
Install OpenCV and Python on your Raspberry Pi 2 and B+

3D printer camera housing
Raspberry Pi Camera Stand
Raspberry Pi Camera for 3D Printer

Connecting the Camera Module to Raspberry Pi

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