Transform any Smartphone Into a Universally Accessible Biomarker Scanner
Spren Vision™ connects apps to the human body with just a single snippet of code, unlocking greater access to physiological data—without the need for any additional hardware.
Accurate Well-Being Insights Without the Wearables
With Spren Vision, brands can harness the power of large-scale deep learning and years of signal processing research—instantly. Spren Vision uses the light and camera from a smartphone to detect subtle changes in blood volume between cardiac cycles by measuring the light absorption in the user's finger through a simple finger scan.
We’ve extensively tested our algorithms—its performance is superior to state-of-the-art published algorithms in both accuracy and reliability.
World’s Largest Dataset of Cardiac Cycles
We trained Spren Vision™ on an unmatched dataset of cardiac cycles—which we simultaneously captured using medical-grade sensors and smartphone cameras.
State-of-the-Art Algorithms
Spren researchers spent years developing a novel way to isolate the cleanest signal from the heart using an innovative signal extraction method.
Embed Spren Vision™ with a Single Snippet of Code
Compatible with iOS, Android, React Native, & Flutter
Easy to integrate with developer-friendly SDK & API
Using computer vision and deep learning algorithms, Spren transforms the smartphone camera into a biomarker sensor measuring heart rate variability (HRV), recovery, stress load, fitness progress, respiratory health, illness prediction, body fat, and more.
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