Stabilized camera platform to get images from a quad-copter and using image processing stitch images and identify overflow areas
Raspberry Pi We are using Raspberri Pi as a our development enviornment and also as our final product. We are usign OpenCV on our project to do image stitching.
Raspbian OS We are using Raspbian Os, which is a linux OS on Raspberriy Pi for the project Proxy Settings
Acquire::http::Proxy "http://yourproxyaddress:proxyport";
(/etc/apt/apt.conf.d)
static IP Address change
iface eth0 inet dhcp
to
iface eth0 inet static
address XXX.XXX.XXX.XXX
netmask XXX.XXX.XXX.XXX
network XXX.XXX.XXX.XXX
gateway XXX.XXX.XXX.XXX
broadcast XXX.XXX.XXX.XXX
You don't need to add all the lines, usually address and netmask is enough to do a SSH on RPI(Raspberry Pi)
(/etc/network/interfaces)
Or you can use dhcp and use nmap on linux/ubunut to search your RPI on the network It is suggested to use "ping raspberrypi" but so far it didnt work. (http://raspberrypi.stackexchange.com/questions/12440/ssh-into-raspberry-pi-without-knowing-ip-address)
OpenCV We used below command to install OpenCV on Raspberry Pi
sudo apt-get install libopencv-dev python-opencv
VNC Server on Raspbian OS to remote access
sudo apt-get install xtightvncviewer
You can always SSH to RPI, usually SSH is switched on default with password: pi and password: raspberrypi
currently if opencv build using cmake we can use cmake to build our program just create CMakeLists.txt and run commane cmake . then make
Performance Tests Reference Links http://www.educ8.me.uk/Dig_Stud/RPi/Pi_timelapse_p3_fs.html
We tested stitch program by
- Increasing number of images
- Decreasing overlap 100% 75% 50%
Measured the memory card write speed ( current 4GB class 4 )
- Taking many images with different frequencies
