Eye Tracking Device Pupil Labs “CORE”
Specification | Details |
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Performance Evaluation | Accuracy expected to be better than Pupil Invisible. Full performance evaluation estimated to be published Q2 2023. |
Eye Tracking Technology | Real-time neural network |
Binocular Eye Tracking | Yes |
Slippage Compensation | Slippage invariant, deep learning powered |
Scene Camera FOV | 1600 x 1200 @30Hz Horizontal: 132°, Vertical: 81° |
Eye Camera | 2 IR Eye Cameras 192 x 192 @200 Hz |
Sampling Frequency | 120 Hz in real-time on Companion Device; 200 Hz post hoc after data uploaded to Pupil Cloud |
IMU | Accelerometer, Magnetometer, Gyroscope |
Microphone | Stereo Microphones |
Calibration | Calibration free |
Battery Recording Time | Over 3.5 hours |
Cable | USB-C |
Computing Device | OnePlus 8 / 8T |
Real-time Data | Gaze data: x, y coordinates in scene camera space at 120 Hz |
Post hoc Data | Gaze data at 200 Hz, blink & fixation detection, pupillometry and eye state (Q2/Q3 2023) |
Frame Material | PA12 Nylon |
Lens Material | Plano CR 39 with Anti-Scratch UV filter, Anti-Reflective, Dust and Water Repelling Coating |
- Description
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Description
Pupil Labs CORE Eye Tracking Device Eye Tracker
A leading wholesaler, importer, and provider of technology solutions, iAdept Marketing is pleased to present the Pupil Labs CORE Eye Tracking Device, an open-source, modular wearable eye tracking system designed for accuracy, flexibility, and real-time data collection in both lab-based research and natural settings.
High-speed infrared cameras and sophisticated gaze estimation algorithms are used by the lightweight binocular eye tracker Pupil Labs CORE to record gaze, pupil diameter, and eye movements. CORE provides complete access to raw data and facilitates real-time streaming through reliable APIs and SDKs, all of which were created with researchers, developers, UX designers, and neuroscientists in mind.
The CORE’s modular hardware design allows it to be tailored for a variety of applications, including interactive systems, AR/VR research, cognitive load analysis, usability testing, and academic experimentation. Real-time visualization on desktop or mobile platforms, 2D and 3D gaze mapping, and scene video capture are all supported by the gadget.
With the help of iAdept Marketing’s national delivery, setup, training, and continuing support, clients in India can easily integrate CORE into their commercial or research operations.
Key Features:
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Binocular eye tracking with up to 200 Hz sampling rate
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Modular and open-source design (hardware + software)
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Compatible with Linux, macOS, and Windows
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Real-time gaze and pupil data streaming via Python, Unity, and more
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Scene video capture with timestamped gaze overlay
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Lightweight and comfortable for long-term wear
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