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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.Download Whitepaper
We’ve extensively tested our algorithms—its performance is superior to state-of-the-art published algorithms in both accuracy and reliability.
We trained Spren Vision™ on an unmatched dataset of cardiac cycles—which we simultaneously captured using medical-grade sensors and smartphone cameras.
Spren researchers spent years developing a novel way to isolate the cleanest signal from the heart using an innovative signal extraction method.