This package contains tools for the discovery of Roboception devices (e.g. rc_visard and rc_cube) via GigE Vision.
rcdiscover
: console application for discovering Roboception devicesrcdiscover-gui
: graphical application for discovering Roboception devices and sending magic packets for resetting of parametersInstallation: You can find some prebuilt packages for Linux or Windows on the releases page. Alternatively follow the compilation steps in the next sections.
For compilation of rcdiscover
cmake is required.
rcdiscover-gui
additionally requires FLTK.
To install this under Debian/Ubuntu >= 20.04.0:
Building steps:
To build the gui as well, pass the CMAKE option BUILD_RCDISCOVER_GUI
:
Afterwards, the binaries can be found in build/tools/
.
Installation can either be done via
On Debian (and derivatives like Ubuntu) Debian packages can be built with
which can be installed with e.g. sudo dpkg -i rcdiscover*.deb
Most Linux distributions have reverse path filtering turned on, which restricts discoverability of sensor to the same subnet as the host.
Check this with
Reverse path filtering can be turned off with
You might also need to disable it for your specific interface, e.g.:
Note: These settings are not persistent across reboots! To persist them you can add a file in /etc/sysctl.d/
on most distributions. See debian/50-rcdiscover-rpfilter.conf
for an example.
If you built a Debian package with make package
, it will automatically ask you if you want to disable reverse path filtering at package installation.
The main directory of rcdiscover contains the script build_win.bat
. This script can be run in a Command Prompt for Visual Studio. It was tested with Visual Studio 2022. In the beginning, the script will check for the git
and cmake
commands. If these commands are not available, the script provides an URL for downloading them and stops. If the tools are found, the script clones the git repository of FLTK, compiles it and thereafter compiles rcdiscover and rcdiscover-gui. After successful compilation, the executables can be found in the build directory.