Typically, eye tracking is understood as the process of estimating a person’s gaze direction to infer the object a person is observing at any given moment. There are many other uses for eye tracking as well, such as measuring pupil dilation. Eye tracking has been recognized as a sensor of the future. Future interfaces will sense the interest and state of the users and provide information in real time. Future industrial systems will be able to collaborate with operators based on the information provided by an eye tracker. It has even been envisioned that with the help of eye tracking sensors, advanced diagnostic systems can be built to provide insights into well-being through the information from the eyes.
Problems with current eye tracking
Before these applications can be utilized, however, several challenges need to be solved. First, current solutions are not robust enough for industrial or consumer applications. They are only suitable for a limited range of well-controlled situations, such as academic laboratories and examination rooms. Eye tracking sensors need to provide reliable data streams, performing robustly in the ever changing conditions of everyday life, industrial factory floors, patient clinics, and homes. Eye tracking efficiency and accuracy is still negatively affected by the use of corrective eyewear or moving the tracking device after calibration.
Second, the sensors need to be very small and light-weight. A research-grade eye tracker today includes a set of large components and requires a powerful computer. Even wearable eye trackers that can be taken out of controlled lab conditions consist of bulky components that cannot be integrated into consumer-level systems or industrial head-sets.
Third, the systems need to be easy to use. Currently, a reliable and accurate eye tracking system requires frequent calibrations, preferably before each use and after each break. This is because, with an eye tracker, even a small movement of the system, in relation to the head, needs to be compensated by a new calibration. Typically, such calibration consists of a special procedure during which the user cannot continue using the device normally. This effectively renders current eye trackers unusable in everyday use.
SeeTrue eye trackers remove the principal obstacles
SeeTrue Technologies has developed a unique solution to the eye tracking problem. A combination of miniature sensors, patented intelligent illumination, proprietary on-chip processing, and advanced patent-pending algorithms ensures wide applications of SeeTrue eye trackers in consumer, industrial, and healthcare applications. With up to 4x better accuracy, extremely high reliability and ease of use, the systems can perform in both critical and everyday environments.
Book a demo today by filling out the Dev-kit request at https://www.seetruetechnologies.com/developer-kit/