GazeSense SDK
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GazeSense SDK
Build your own eye tracking applications with the leading AI-powered eye tracking software and SDK for webcams and 3D sensors
REQUEST TRIAL
Receive a trial invite email within 24 hours. Cancel within 7 days or auto-subscribe for $299/month. For one-time or academic rates, reply to the invite.
FEATURES
GazeSense is available in two variations:
ה GazeSense Windows/Linux app provides a quick and efficient solution for researchers and developers to build eye tracking prototypes without the complexity of full-scale integration, featuring an easy-to-use interface and comprehensive sensor support.
ה GazeSense SDK enables the integration of eye and head tracking into applications and devices for a broad range of platforms with support for C++ and Python.
GAZESENSE WINDOWS/LINUX APP - EYE TRACKING SOFTWARE FOR QUICK PROTOTYPING
The GazeSense Windows/Linux app is a researcher-friendly option for the SDK. It is ideal for academic, automotive, or HMI researchers in general who want to build prototypes quickly. The software seamlessly integrates the GazeSense SDK, so there’s no need to integrate it into your environment. Instead, you can use the API to streamline the prototyping process and reduce your efforts. GazeSense app offers an easy and efficient way to create eye tracking prototypes.
System Requirements:
Win 10/11 (x64)/Ubuntu 18.04 (x64) or higher
2GB RAM
1 GB storage
User Guide
Click here to download
Supported Sensors
Webcams (integrated or external)
Intel RealSense D415
Intel RealSense D415i
Intel RealSense D435
Orbbec Astra Embedded S
Meerecompany S100D S.CUBE
Azure Kinect
Vzense DCAM710
GAZESENSE SDK - BUILD YOUR OWN EYE TRACKING ENABLED APPLICATION OR DEVICE
The GazeSense eye tracking SDK allows easy integration of head and eye tracking capabilities into your application or consumer devices, such as mobile phones, tablets, laptops, monitors, and external webcams. Develop your custom eye-tracking applications for any platform using C++ and Python API. Code samples are available.
The GazeSense SDK is powering the AMD Privacy View app, as well as קרן Eyeware.
Camera Requirement
RGB or IR sensor with resolution >320p
Optional: RGBD for increased calibration robustness
Head pose tracking (relative to the sensor)
Pitch: -20° to 45°
Yaw: -30° to 30°
Roll: 15° to 15°
Calibration Options
Automatic or 1/5/9 screen point calibration
Processing Requirement
CPU load on PC: <3%
Option to offload to iGPU or dGPU
Robustness
Works with glasses, contact lenses, varied age ranges, and ethnicities
Eye Tracking Principle
AI-powered head pose and eye gaze estimation for 2D or 3D sensors
Single Screen Tracking Box
Operating distance: 30-80cm/16-31”
Tracking frame: 40x30cm/16×12” at 65cm/26”
Max. recommended screen size: 30”
EYE TRACKING SOFTWARE OUTPUT
- Accuracy: >1.5 degrees*
- Head Tracking: 6 degrees of freedom
- Gaze vector: 3D origin and direction of left and right eyes
- Screen Gaze Point: 2D point of regard on a screen (incl. multiple screens)
- Blink Detection: left and right eye open or closed
- Sampling Rate: 10 - 90 Hz**
* Ideal conditions. Gaze accuracy decreases towards the edges of a screen, especially for larger screens. Accuracy can go down to 5° for calibrated users and 10° for uncalibrated users.
** Sampling rate restricted by processing hardware and sensor sampling rate.
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