Vision based Line Follower

From Rsewiki
Revision as of 18:33, 2 March 2016 by S130074 (Talk | contribs)

Jump to: navigation, search

RegbotVision.JPG

Contents

Hardware needed

For installing and utilizing the line follower application for RegBot robots the following things are needed:

  • A fully functional RegBot programmed with latest version of the robot software. Consult this section to ensure that.
  • A clean Raspberry Pi (model 2 and above is preferred). In case the Pi is clean with an OS newly installed simply skip the install OS section in Software Installation.
  • A Raspberry Pi camera modul.
  • A mount for Raspberry Pi + camera module. Consult JCA for this.
  • A few female/female jumper wires for connecting the Raspberry Pi with the RegBot.
  • A WiFi dongle e.g. EDIMAX EW-7811Un (Raspberry Pi model 3 includes WiFi).

Also it would be good to have access to a "HDMI input"-screen in order to locally make the initial connection to WiFi and setup SSH for remote access.

Software installation

Instructions on how to install the needed software on a Raspberry Pi.

Raspberry Pi

Installing the OS

Use this link to download and install the newest Raspian OS on a SD card. Detailed instructions on how to write an image to a SD card is found within the link as well.

When the OS has been successfully installed insert the SD into the Raspberry Pi - connect a screen via the Pi's HDMI output and a keyboard + mouse set.

Setting up WiFi

Plug in the WiFi dongle and open up a terminal window.

In terminal open the wpa-supplicant configuration file:

sudo nano /etc/wpa_supplicant/wpa_supplicant.conf

Go to the bottom of the file and enter the information about the WiFi:

network={ 
    ssid="Your_SSID" 
    psk="Your_wifi_password" 
} 

Save the file by pressing Ctrl+X then Y, then finally press Enter.

Restart the Pi by typing sudo reboot and it should automatically connect to WiFi when finished restarting.

Setting up SSH

OpenCV 3

Line Follower application

Personal tools
Namespaces

Variants
Actions
Navigation
Toolbox