Imaging Boards and Software

Desktop eye tracking solution utilizes Point Grey machine vision camera

Gazepoint GP3 desktop eye tracker solution utilizes a USB 2.0 camera, infrared lights, and a software development kit to capture images and transfer and process data.
Nov. 28, 2013
2 min read

Gazepoint GP3 desktop eye tracker is designed to remotely measure where a user is looking on a laptop or monitor screen. The company, which touts its product as a professional-grade solution with a consumer price point, utilizes a USB 2.0 camera, infrared lights, and a software development kit to capture images and transfer and process data.

Chosen for the GP3 eye tracking solution was Point Grey’s board-level Firefly MV mono USB 2.0 camera with microlens and infrared (IR) pass filter, a compact IR LED light, 3D-printed housing, and associated control and I/O electronics. This 0.3 MPixel camera features a 1/3" Micron MR9V022 CMOS image sensor with a 6 µm x 6 µm pixel size, global shutter, and a frame rate of 60 fps at 752 x 480. In addition, it features a USB 2.0 interface, 8 and 16 bit digital data output, and updatable firmware.

Point Grey’s Flycapture software development kit (SDK) captures images and transfer the data to a computer vision-based image processing program, which processes the images of the user, isolates the eye, tracks retinal movements, and converts those movements into computer control data. Flycapture SDK features FireWire, USB 3.0, USB 2.0, and GigE Vision camera drivers and is compatible with Windows and Linux 32- and 64-bit systems. Flycapture comes with all Point Grey products and is designed to enable image acquisition and camera control, and comes with a number of C/C++ source code examples.

Gazepoint’s GE eye tracker features an accuracy of 0.5–1° of visual angle, a 60Hz update rate, 5 point or 9 point calibration, open standard API, 25cm x 11cm movement, and ±15 cm range of depth movement.

View the Point Grey case study.

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About the Author

James Carroll

Former VSD Editor James Carroll joined the team 2013.  Carroll covered machine vision and imaging from numerous angles, including application stories, industry news, market updates, and new products. In addition to writing and editing articles, Carroll managed the Innovators Awards program and webcasts.

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