Colour Industrial GigE Camera, C-mount, 6-pin I/O Connector - HT-GE134GC-T1P-C

The camera is GigE Vision class and is typically compatible with GenICam (GenApi, GenTL). This allows operation with a wide ecosystem of tools without vendor lock-in.

Supported OS and languages:

- Operating systems: Windows 10/11 (x64), Linux (Ubuntu/Debian/RedHat variants, x64)

- Languages and API: C/C++, C#/.NET, Python (via GenTL/SDK bindings), LabVIEW

- Frameworks/libraries: OpenCV, HALCON, MATLAB, Cognex VisionPro, MVTec, ROS/ROS2 (via image_transport/Aravis/Harvester), GStreamer.

What the SDK includes:

- Device discovery (over network, across subnets), reading/writing parameters via GenApi.

- Stream/Grab engine: packet size configuration, jumbo frames, packet delay, resend on loss, ring buffer, multi-camera operation

- Triggers and I/O: software trigger, hardware trigger (input from 6-pin connector), programmable strobe/output; debounce/pulse width (if supported by the model).

- Exposure and gain: auto/manual exposure, gain, white balance (auto/manual), gamma, LUT.

- Region of Interest (ROI), binning/decimation for increased FPS.

- Color/demosaicing: Bayer→RGB/Gray, color conversion in SDK, optional GPU acceleration (if available).

- Events/Callbacks: frame events, exposure end, I/O events; timestamps and framing with PTP (IEEE-1588) for network synchronization (if available in the model).

- Recording/export: recording sequences/frames in RAW/BMP/PNG/JPEG/TIFF; RAM disk/stream writer.

- Diagnostics: statistics for lost packets, bandwidth monitor, logs.

- GenTL Producer: for integration with third-party applications (HALCON, MATLAB, Harvesters/Aravis, etc.).

- Examples and project templates: C++, C#, Python (basic grab, software trigger, save to disk, color convert).

Minimum system requirements:

- CPU: dual-core or better (i5/Ryzen 5+ recommended)

- RAM: 8 GB (16 GB recommended for real-time recording/processing)

- LAN: Gigabit port (Intel/Realtek); for full FPS – dedicated NIC, Jumbo Frames enabled.

- Cable: Cat5e/6, length up to 100 m; for PoE – compatible PoE switch/injector (if used).

Quick start (Windows/Linux):

- Install SDK/driver (including GenTL Producer).

- Connect the camera to the Gigabit NIC. (Optional – separate switch/interface for machine vision only.)

- In the SDK configurator: set IP (DHCP/Static), MTU/Jumbo Frames (e.g., 9000).

- Test live stream ("Acquisition/Grab") and save a test frame.

- Configure Trigger Mode (Off/On), Exposure/Gain, Pixel Format (Mono8/BayerRG8/RGB8).

- Connect the 6-pin connector as needed (power, trigger, strobe)

Third-party compatibility:

- HALCON – automatically recognized via GenTL Producer.

- LabVIEW – via IMAQdx (GigE Vision) or vendor driver.

- MATLAB – Image Acquisition Toolbox (GigE Vision adapter).

- OpenCV – via GenTL/SDK grab + cv::Mat conversion; direct via VideoCapture is usually insufficient for GigE Vision.

- ROS/ROS2 – drivers based on Aravis/Spinnaker/Harvesters; publishing sensor_msgs/Image.