Live Multiple Object Tracking. The system does not just record where gaze went. It names the object, as the glance happens, on your platform. No cloud, no post-processing wait.
A custom model trained to recognize the information display, instrument cluster, rearview mirror, and side mirrors.
Defined objects are detected and tracked live in the scene camera image, with gaze and fixations on each object reported as they happen.
The AIObjectTraining add-on for ETAnalysis builds models for your own objects using the Moving Area of Interest workflow. Trained objects are auto-detected for all participants.
Per object: total time, fixation time, number of fixations, average fixation duration, time to first fixation, pupil size.
A closed loop between the analysis suite and the glasses. Define once, then every participant's data arrives already interpreted.
Mark what matters in your scene inside ETAnalysis. Moving areas of interest track an object frame to frame.
The AIObjectTraining module turns those definitions into a custom AI model, through an automated workflow. No machine learning expertise needed.
Load the model into ETVision. It names objects as the wearer looks at them and flags engagement in real time, with live bar plots.
The result is attention data that arrives already interpreted: not coordinates to decode later, but "the operator looked at the rearview mirror for 1.2 seconds," as it happens.
The Argus Science ETVision eye tracker uses an AI model to recognize and detect multiple objects that appear in the head-mounted scene camera image. Objects are detected and tracked in real time, and the system flags periods of gaze engagement with each object as they occur.
A standard AI model trained on a set of common objects ships with every system. The optional AIObjectTraining add-on for ETAnalysis lets users create custom AI models for objects specific to their requirements and environment.
Tell us what you need to track. We will show ETVision detecting it live.
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