SeeTrue Technologies is a leading brand that offers the world's most advanced and reliable eye-tracking solutions. These solutions are built on custom sensors and a unique computer vision approach, which have been developed over a decade of research and experience in computational optics. SeeTrue Technologies provides highly accurate eye-tracking technology that offers detailed insights into the direction of a user's attention and point of gaze.

The brand offers a range of products and services for various applications. In the medical field, their technology has been demonstrated in surgical operating rooms to enhance patient safety and surgical training. In the realm of augmented reality (AR) and virtual reality (VR), their eye-trackers can be embedded in head-mounted displays to support these immersive technologies.

Additionally, SeeTrue Technologies provides industrial applications with wearable and customizable solutions that offer extreme robustness and accuracy beyond state-of-the-art. SeeTrue Technologies' unique solution for robust eye-tracking is designed for mission-critical environments. With a combination of custom hardware and optics, their solutions can tolerate device slippage and movement, allowing for high-speed tracking without the need for recalibration.

Their patented and patent-pending technology enables the development of control applications, seamless operator sensing, improved resource allocation, and interaction with other sensors. If you are a developer or manufacturer interested in incorporating eye-tracking technology into your products, SeeTrue Technologies offers a developer kit with access to the latest models and API support. In summary, SeeTrue Technologies is a leading brand in the field of eye-tracking, offering state-of-the-art solutions for a wide range of applications in the medical, AR/VR, and industrial fields.

Their advanced technology, based on years of research and experience, provides unparalleled accuracy and robustness in eye-tracking, enabling precise control, user sensing, and prediction of user behavior