Click the link below for the camera type you are using. There you will find the main settings we used in our tests: the maximal resolution, frame rate and duration.
▪In all tested configurations, EthoVision XT tracked the nose-, center- and tail-base point of one subject with the Contour-based method (that is, no Deep learning) and recorded video simultaneously. Video was recorded without audio. When using multiple cameras, one arena was defined for each camera. Each section reports which detection method worked with zero (or a low percentage of) missed samples.
▪If you want to track the subjects using Deep learning, there are further restrictions. See Deep learning: Requirements.
▪If a test was successful with Deep Learning (DL in the tables in the following sections), then it is assumed that Contour-based tracking (C) also works.
▪The figures report the maximum time tested. Acquiring longer trials is possible in principle, but you must test your configuration thoroughly. Run a test trial with the desired resolution and frame rate, and check that the resulting video does not contain too many missing video frames, and check that the tracks obtained do not contain too many missing samples, for example less than 5%. See View the detection statistics
▪important When tracking for more than 24 hours, always reboot the PC after every trial to refresh the PC resources, the RAM specifically. Failure to do so could result in crashing, which can corrupt the experiment, or the recorded video.
▪important When you track many animals in multiple arenas, simultaneous tracking and video recording may go beyond the processor’s capability. In those cases, choose Save video, track later in the Acquisition Settings window to be able to record at higher resolution without skipping video frames. See Record video, then acquire a trial
▪important The test results reported here may differ from those you experience, even when using the same camera, PC and graphics card. For example depending on the lighting and the camera settings.
Click the camera type that applies: