How does Qualcomm’s SenseID fingerprint scanner work?

Ultrasonic, subsurface, and a whole host of details.

Qualcomm Snapdragon logoSemiAccurate told you about Qualcomm’s SenseID ultrasonic fingerprint reader earlier, let’s go a bit deeper. As you will see, this new tech is actually quite different in both how it works and what it returns.

At its core, Qualcomm’s SenseID technology just reads fingerprints like several other technologies in wide use. If you peel away the top layers you will see that it is quite different is both functionality and data returned. Luckily for Qualcomm, different in this case is a synonym for better, SenseID could end up being much better than traditional methods.

Qualcomm SenseID fingerprint scanner

Look ma, a pic of my fingerprint!

The heart of the tech is an ultrasonic wave generator and sensor, it makes sound waves and reads the echoes. If you are familiar with sonar the same rough ideas are taken to a new level of detail. Qualcomm would not talk about the details underlying these parts of the process but when they do the phrase piezo is likely to be heard a lot.

When using SenseID the first thing you notice is that it isn’t a traditional swipe sensor, it is just a touch. Press your finger to the sensor area and your fingerprint is read off like magic. OK, maybe this kind of sensing isn’t magic anymore but it does work well and is far less fussy than the swipe readers.

More important is that he sensor isn’t actually a sensor, although there is a marked area in the demo pictured above, there doesn’t have to be. Traditional fingerprint sensors have to expose the sensor itself to the skin leaving it quite vulnerable to static “*crack*.. Ow!…damnit why doesn’t this $*&(%ing thing log me in” type events. SenseID on the other hand can be under the phone’s screen, glass, or other surfaces happily protected from such shocking events.

Since it uses ultrasonic waves anything stiff enough to transmit sound will work just fine for SenseID. Glass and metal are obvious candidates but even plastic without voids will work, you can read through quite a few substances. Better yet things like lotion, sweat, or moisture actually help the process, they transmit sound far better than air. When phone designers make devices with SenseID, they can now put them in shielded and waterproof locations, quite a boon for warranty calls and the like.

The image returned is not just a 2D picture of your fingerprint however, it can also read depth. This ‘3D’ image can read things like sweat glands, cavities, and even a few sub-surface structures. If used properly this can give a more secure and harder to spoof reading, at least in theory. Qualcomm says it can also distinguish between live and political, I mean non-living fingers but won’t say how. If it can read sub-surface features, that bit isn’t exactly rocket science though.

Under the hood the SenseID sensor just grabs the data and passes it off to the ISP in the SoC for processing. Once that part is done, the result is then handed off to the device’s normal security mechanisms, in this case Qualcomm’s secure MSM. The net result should be a more detailed, harder to spoof, and thus more secure biometric scanner. While it isn’t out yet, expect them to surface on devices in short order, probably by the end of the year. It will be interesting to see how they work in the real world, on paper at least it seems to be a better way.S|A

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Charlie Demerjian

Roving engine of chaos and snide remarks at SemiAccurate
Charlie Demerjian is the founder of Stone Arch Networking Services and SemiAccurate.com. SemiAccurate.com is a technology news site; addressing hardware design, software selection, customization, securing and maintenance, with over one million views per month. He is a technologist and analyst specializing in semiconductors, system and network architecture. As head writer of SemiAccurate.com, he regularly advises writers, analysts, and industry executives on technical matters and long lead industry trends. Charlie is also available through Guidepoint and Mosaic. FullyAccurate