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EthoVision XT 19 - Technical Specs Fish - Supported Cameras

Last updated: Jul 30, 2026

Supported Cameras

EthoVision was tested with a selected range of cameras. The maximum number of cameras depends on whether EthoVision is installed on a desktop or laptop computer.

Cameras must be of the same type; a combination of analog and digital cameras is not supported. Mixing video images from different camera types is not supported.

The drivers for the supported cameras are available on MyNoldus: my.noldus.com.

Type Brand/Model Max. Number Interface Board Frame Rate
GigE Basler acA1300-60gm (mono) Desktop: 1–16, Laptop: not supported CT1000 Pro, Adlink PCIe-GIE74, Basler GigE 4 port PoE fps
GigE Basler acA1920-40gc (color) Desktop: 4, Laptop: not supported CT1000 Pro, Adlink PCIe-GIE74 fps
USB 3.0 Basler acA1920-155μm (mono) Desktop: 1, Laptop: 1 U3-PCIE1XG205-1S, U3X4-PCIE4XE111 fps
Analog PhenoTyper Desktop: 1–16, Laptop: not supported Picolo Alert (1–4 cameras) 25/29 fps

System Requirements

For optimal performance and functionality of EthoVision, an up-to-date professional workstation is strongly recommended. EthoVision 19 is tested on Windows 11 Pro 64-bit, version 25H2 on a Desktop Dell Pro Max Tower T2. Laptop compatibility testing is pending. For this system we guarantee compatibility.

  • Processor (CPU): 14th Gen Intel Core i7-14700, 20 cores, 2.1–5.4 GHz
  • Internal Memory (RAM): 32 GB for desktop PCs and 16 GB for laptop PCs
  • Graphics Card (GPU): NVIDIA RTX 5070, 12 GB GDDR7
  • Connectivity: USB 3.0 ports or an additional Ethernet network interface adapter, depending on the cameras
  • Hard Disk: 1 TB free space (to store experiments including video files)

Performance will depend on the functionality used. Some processes, such as live acquisition or tracking multiple animals within one arena, will require more from the processor and may influence the working speed.

Deep Learning Requirements

Deep learning relies on the CUDA computing platform. For this reason, the graphics processing unit (GPU) driver must support CUDA version 13.1. For tracking live or from video files, we tested and guarantee compatibility with:

  • Desktop Computer (Dell Pro Max Tower T2): NVIDIA GeForce RTX 5070, 12 GB GDDR7, driver version 581
  • Laptop: Compatibility testing is pending.

When a driver version is not sufficient for supporting CUDA, EthoVision displays the following message in the Experiment Settings: "The graphics card driver is not installed or the graphics card does not support CUDA". We recommend downloading and installing the latest driver from the card's manufacturer.

Deep Learning Limitations

  • One-Subject Tracking: Up to four arenas, live tracking or from video file. No minimal trial duration required. Maximum trial duration tested: 72 hours.
  • Two-Subject Tracking: Up to four arenas, tracking from video file only. Tracking of hooded rats is not supported. It is recommended to perform trials of at least five minutes. Maximum trial duration tested: 1 hour.
  • Subject Size: The apparent length of the subjects should be at least 10% of the size of the arena. We recommend that the apparent length of the subject's body is at least 120 pixels for rats and 50 pixels for mice (nose to tail-base).

Source: EthoVision XT 19 Technical Specifications - Fish, Noldus Information Technology

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