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Entropik launched multi-platform Eye Tracking Technology for web and mobile devices

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Leading emotion AI Technology company, Entropik Tech has announced the launch of its first multi-platform eye-tracking technology that works on web and mobile devices.

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Using tracking through web and mobile cameras, the innovative eye-tracking technology is accurate, agile, and easy to use. Using AI and ML technologies (solving for regular issues like lighting and camera quality), Entropik’s eye-tracking technology maintains an accuracy rate of over 96%. 

Moreover, it is built for enterprise-scale integration that enables brands to conduct multiple tests and leverage online respondents across 120 countries.  

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Entropik’s eye-tracking technology will also be available for external integration through web and mobile Software Development Kits (SDKs), enabling developers and companies to measure eye gaze data at an unprecedented scale. 

Eye gaze data is used to identify and analyze patterns of visual attention of individuals as they perform specific tasks, and it provides brands and agencies with important data about consumer preferences and behavior. 

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Intuitive and fast-paced, eye tracking data is calibrated in just a few seconds. Advanced AI-based Neural Network algorithms capture eye movement in real-time and seamlessly synchronize the data with Entropik’s Consumer Insights platform, which provides a guide to interpreting eye-tracking data and translating it into actionable insights. 

While maintaining a high accuracy rate, Entropik’s software-based eye-tracking technology is more affordable and less labor-intensive than hardware-driven eye-tracking technology. 

Speaking on the launch, Ranjan Kumar, Founder and CEO, Entropik Tech, said: “The launch of this new technology helps brands unlock the potential of next-generation eye tracking modules and enables brands to get precise user and customer metrics that can lead to better business decisions and superior consumer experiences.” 

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Krishna Mali
Krishna Mali
Founder & Group Editor of TechGraph.
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