Downloads for Linux
The Imaging Source authors and supports device drivers, software development kits (SDKs), programming samples, extensions, end user software and software tools for Linux (below) and Microsoft Windows. All Linux downloads are also available at GitHub.
Get in touch with us
| Installation Files | |||
 | Tiscamera camera library for Ubuntu 18.04 64 bit on x64 architecture | 0.14.0 | July 5, 2021 |
 | Tiscamera Linux 64 bit camera library for ARM 64 architecture | 0.14.0 | July 5, 2021 |
 | Tiscamera Linux 32 bit camera library for ARMHF architecture | 0.14.0 | July 5, 2021 |
 | tiscamera-dutils for Linux on x64 | 0.14.0 | July 5, 2021 |
 | tiscamera-dutils for Linux ARM64 | 0.14.0 | July 5, 2021 |
 | tiscamera-dutils 32 bit for Raspberry PI OS | 0.14.0 | July 5, 2021 |
 | Raspberry PI GStreamer source for The Imaging Source MIPI cameras | 1.2.0 | April 19, 2021 |
 | tis-tegra-filters for NVIDIA® Tegra | 1.1.0 | July 5, 2021 |
 | IC Barcode for Linux AMD64/x64 | 1.1.0.703 | March 22, 2021 |
 | IC Barcode for Linux ARM 64bit | 1.1.0.703 | March 22, 2021 |
 | tcamprop for Raspberry PI OS | 0.1.0 | March 15, 2021 |
| Device Drivers | |||
 | MIPI Sensor Drivers for NVIDIA® JetPack Version 4.4 | 2.1.6-1 | July 5, 2021 |
 | MIPI Sensor Drivers for NVIDIA® JetPack Version 4.4.1 | 2.1.6-1 | July 5, 2021 |
 | MIPI Sensor Drivers for NVIDIA® JetPack Version 4.5 and 4.5.1 | 2.1.6-1 | July 5, 2021 |
| Disk Images | |||
 | Demo Image for NVIDIA® Jetson Nano™ Development Kits | 1.0.3 | May 26, 2021 |
 | Demo Image for NVIDIA® Jetson Xavier NX™ Development Kits | 1.0.3 | May 26, 2021 |
 | Demo Image for Raspberry Pi 4 B Development Kits | 1.0.0 | March 12, 2021 |
| Subject to change. | |||
About The Imaging Source
Established in 1990, The Imaging Source is one of the leading manufacturers of industrial cameras, video converters and embedded vision components for factory automation, quality assurance, medicine, science, security and a variety of other markets.
Our comprehensive range of cameras with USB 3.1, USB 3.0, USB 2.0, GigE, MIPI interfaces and other innovative machine vision products are renowned for their high quality and ability to meet the performance requirements of demanding applications.
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Software for Linux
Simple access to industrial cameras in Linux
The Imaging Source Linux package simplifies access to The Imaging Source USB and GigE cameras. It consists of Gstreamer modules and tools for camera configuration. The software is available as source code in its entirety, making it platform independent. Additionally, binaries can be downloaded for Ubuntu 18.04 and Raspbian.
Key features
- Access to cameras via software
- Extensive use of GStreamer software
- Programming samples
- Compatible with all The Imaging Source cameras
- Easy customization of camera features, such as exposure time, gain, white balance, video formats and refresh rates
- Easy transfer of images to e.g. OpenCV
Supported hardware
The following hardware is fully supported, without additional drivers:
| Desktop PC |  |
| Raspberry |  |
| Odroid |  |
| Nvidia Tegra |  |
| x86 and ARM |   |
The Imaging Source USB cameras use Video For Linux 2 (V4L2) and the GigE models use Aravis. The Aravis library is included in SDK.
Tcam-Capture
Tcam-Capture is an end-user application to capture video streams and image sequences from cameras, manufactured by The Imaging Source. Additionally, all properties, such as video formats, exposure time, brightness, gain, exposure etc. can be adjusted directly in the GUI. All cameras connected to the computer are automatically recognized and a live video stream is displayed.
Programming samples
The Imaging Source maintains a number of programming samples to assist you getting started using the cameras with Linux:
Additionally, you can find the pre-compiled binaries at:
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The imaging source linux
Programming samples in Python and C++ for the tiscamera GStreamer modules.
Snap an Image and Convert to OpenCV
This sample shows, how to snap an image from the video stream and make some OpenCV image processing on it. The result is displayed in an OpenCV window.
Using external trigger and a callback in Python
This sample shows, how to use an externally triggered camera and process and save a received image in an image callback.
Save an image on trigger in Python
This Python sample shows how to turn a camera into trigger mode for software trigger or hardware trigger and use a callback for receiving the triggered image.
Auto Focus On Push in Python
This shows, how to control the auto focus and focus of cameras, that support that, e.g. DFK AFUJ003, DFK Z12GP031. Additionally it is shown, how to set the zoom of the GigE zoom cameras.
Simple Snap Image in C++
This sample shows, how to configure a camera and snap an image from the live stream with only a few lines of C++ code. The snapped image data is converted to an OpenCV cv::Mat for saving as JPEG.
Using Properties in C++
This example shows, how to use camera properties, here exposure and gain, in C++ using the TcamCamera class.
Save an image using OpenCV in C++
This C++ sample shows how to capture images from the video stream, convert them to OpenCV cv::Mat and save them to hard disc.
QT5 Device Selection and Property Dialogs in C++
This sample provides C++ source code for QT5 Device Selection and Camera properties dialogs. It shows in a simple QT5 application, how to use them. It shows also, how to display the live video in a QT5 wigdet.
Gtk, Glade and OpenCV
This C++ sample shows, how to use Gtk, Glade, OpenCV and Gstreamer in one project.
Stream over Network to VLC
This article shows, how to setup a GStreamer pipeline for sending video stream to VLC over a network.
Stream into a Web Browser
A Pyhton sample shows, how stream from a camera into a web browser.
tcam-dialog Terminal Program for Camera Property Manipulation
A A terminal program for easy camera property manipulation.
IC Barcode simple
This sample shows, how to use the IC Barcode library.
IC Barcode Wrapper for ROS
Mr Dominik made a wrapper for ROS using the IC Barcode at IC Barcode Scanner ROS.
The Imaging Source Camera and Devices FAQ
About
Programming samples in Python and C++ for the tiscamera GStreamer modules.
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The imaging source linux
The Imaging Source Linux Repository
This repository will give you additional resources to control your TIS camera.
What do we offer?
- gstreamer elements
- gobject introspection
- uvc extensions
- utilities
- examples on how to interact with your camera
You can find an online version of the included user documentation here:
Compilation dependencies for debian can be found be executing:
Runtime dependencies for debian can by executing:
On a Debian / Ubuntu system, the following command line can be used to install all required packages in one go:
The following commands will build and install our software with default settings.
The default installation prefix is /usr . Some components have to be installed in /etc and /lib . If you want to change the prefix, read the section installation directories in our documentation.
The most important cmake options are:
-DBUILD_ARAVIS= Build tiscamera with support for GigE cameras via aravis.
-DBUILD_TOOLS= Build additional tools for camera interaction (e.g. firmware tools and tcam-capture).
-DBUILD_V4L2= Build tiscamera with support for USB cameras via UVC/V4L2.
-DBUILD_LIBUSB= Build tiscamera with support for USB cameras via LibUsb (i.e. AFU420, AFU050, DFK73).
-DBUILD_DOCUMENTATION= Build html user documentation.
-DCMAKE_INSTALL_PREFIX Installation target prefix (defaults to /usr/)
For a complete overview, read the section cmake options in out documentation.
Optional for GigE-Vision devices: Start the gige-daemon
GigE-Vision cameras have a several seconds long delay before they can be reliably detected on the network.
To speed up this process for applications, a background daemon is built and installed, which detects cameras before an application starts. The following commands will activate the daemon on your system:
Where to go from here
After installation you can try one of our examples or directly start with a gstreamer pipeline like:
gst-launch-1.0 tcambin ! videoconvert ! ximagesink
alternatively start tcam-capture
For questions simply open a ticket or write us a mail at support@theimagingsource.com.
All files are published under the Apache License 2.0, unless otherwise noted.
Included libraries: PugiXml 1.6, which is available under the «MIT» license. The json library by Niels Lohmann, which is available under the «MIT» license. 7z, which is published as public domain. aravis, which is available under the LGPLv2. CLI11 available under the 3-Clause BSD-License Catch2 which is published under the Boost Software License, Version 1.0
About
The Linux SDK for The Imaging Source cameras.
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Linux Support for The Imaging Source Cameras
⋯ (April 3, 2014) — The Imaging Source, an international manufacturer of industrial cameras for machine vision, has just announced the immediately availability of Open Source Linux support for all of its cameras.
The source code — which is released under the Apache License 2.0 — is available as an Open Source project and allows the integration of all cameras with GigE, USB and FireWire interfaces into popular distributions, such as Debian, Ubuntu, CentOS and Red Hat.
Rolf Bollhorst, CEO and founder of The Imaging Source states:
We have seen customer demand for Linux support continually grow in the past few years. In the meantime, we work with Linux every day. Therefore, it makes sense for us to offer comprehensive Open Source software at GitHub.com to integrate our cameras into popular distributions. We look forward to the feedback from our customers.
You can download the Open Source source code from The Imaging Source at GitHub.com and compile it directly into your own applications.
About The Imaging Source
The Imaging Source is a multinational enterprise with branches in the US, Taiwan and Germany. Established in 1990, The Imaging Source is one of the leading manufacturers of imaging products for scientific, industrial and medical applications. The industrial cameras, converters and frame grabbers manufactured by The Imaging Source are highly robust and are designed to run maintenance free for years in many applications: machine vision, AOI (automated optical inspection), visual inspection, factory automation, quality control, medical, life science, and microscopy, and amateur astronomy.
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