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SICK Visionary samples

Overview

This repository contains programming samples for Sick Visionary-T Mini CX (V3S105-1AAAAAA) and Sick Visionary-S CX (V3S102-1AAAAAA and V3S102-1AABAAB).

The entry point for our camera programming samples is the Python Welcome Demo and the Cpp Welcome Demo. These welcome demos provide an overview to the functionalities offered by the Visionary Python and C++ API. They cover aspects such as device connection, user authentication (login and logout), parameter adjustments, along with the streaming and storage of images and point clouds.

For new users we recommended to follow the samples in the following order:

License

The source code is released under The Unlicense.

Supported environments

The samples in this repository have been tested with the following platforms:

Platform Compiler Version Notes

Windows

Visual Studio / Build Tools

2022 (MSVC = 14.x)

Windows

gcc (mingw64)

13.2.0 (>= 8.1)

Linux inside WSL2

gcc

11.4.0 (>= 8.1)

finding_and_connecting_devices (AutoIP) and image_streaming_and_storing (UDP) will not work with default WSL2 configuration (NAT)

Linux

gcc

>= 8.1

Supported Hardware

device name part no. description firmware version

Visionary-T Mini CX (V3S105-1AAAAAA)

1112649

3D time-of-flight camera

✔ 2.1.0

Visionary-S CX (V3S102-1AAAAAA, V3S102-1AABAAB)

1090184 1090185

3D structured light stereovision camera with RGB data

✔ 6.0.0

Getting started

Ensure you have a recent version of cmake [1] and a compiler available on your machine’s system. If you are working on windows with a recent version of VisualStudio[2], take care to have a CMake version supporting your version of Visual Studio.

After cloning this repository, open a Command Prompt window and navigate to sick_visionary_samples directory. Run these additional git commands to have the correct submodules in place [3]:

  • git submodule update --init --recursive

Python

Before you begin, ensure you have met the following requirements:

  • You have installed pip, which is a package manager for Python. If not, you can install it using the following command:

$ sudo apt install python3-pip
  • You have installed the following Python libraries: OpenCV, NumPy, and CryptodomeX. If not, you can install them using pip:

$ pip3 install opencv-python
$ pip3 install numpy
$ pip3 install pycryptodomex
Note

Please replace the installation commands with the appropriate ones for your operating system or Python environment if necessary.

To run the Python welcome demo, execute the following command from the top-level directory:

python3 -m visionary_welcome.python.welcome -i192.168.1.10 -dVisionary-S

Depending on your environment, you may need to use python or python3. Remember to adjust the IP address (-i) and device type (-d) to match your specific device.

C++

To build the C++ samples, it is suggested to proceed like this [4]:

  • cmake -B build optionally also specify other options like -G for custom generator

Now you can build the files with the chosen build-system you’ve generated them for, for instance, open the solution in VisualStudio or run make/ninja.

  • cmake --build build

To run the C++ welcome demo, follow these steps:

  1. Navigate to the build/ directory from the top-level directory:

$ cd build/
  1. Execute the welcome demo with the specified IP address and device:

$ ./welcome -i127.0.0.1 -dVisionary-S

Remember to adjust the IP address (-i) and device type (-d) to match your specific device.

Support

Depending on the nature of your question, there are two support channels:

  1. For questions regarding the code shared in this repo please check the FAQ first and search if an issue already exists. If a related issue doesn’t exist, you can open a new issue using the issue form.

  2. For application or device specific questions look for common solutions and knowledge articles on the Sick Support Portal. If your question is not answered there, open a ticket on the Sick Support Portal.

Keywords

Visionary-S Visionary-T Mini SICK CX


1. minimum required version >= 3.16
2. >= 2017, or buildtools with MSVC = 14.x
3. Only necessary if you have fetched the files from the GitHub repository. If you have received the samples in a prepared package, the git commands can be skipped.
4. Also, other ways are possible

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