Leak Hints at Google Testing Face ID-Style Unlock for Pixel 11

Leak Hints at Google Testing Face ID-Style Unlock for Pixel 11

Leak Hints at Google Testing Face ID-Style Unlock for Pixel 11

Image: DepictionImages/Envato

Android Authority leak says Google is testing Project Toscana, an advanced face unlock for Pixel and Chromebooks that works in low light and rivals Face ID.

Written By
Liz Ticong
Liz Ticong
Feb 18, 2026
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Google may be preparing its most serious challenge yet to Apple’s Face ID. A new leak suggests the company is testing an advanced facial recognition system for Pixel devices under the codename “Project Toscana.”

According to a report from Android Authority, the system is being evaluated internally on Pixel hardware and could be tied to future devices, hinting at a possible move toward more secure, hardware-backed face authentication across Google’s lineup.

Internal trials, external ambitions

Project Toscana is reportedly under internal evaluation, with Android Authority citing an anonymous source who said the system was recently tested with UX teams in Mountain View. The source claims to have used it on a Pixel device with a single hole-punch front camera, as well as on two Chromebooks with external cameras, suggesting that Google is exploring a unified approach across phones and laptops.

Testing was conducted under different lighting conditions, with the system reportedly performing as quickly as Apple’s Face ID, even in low light.

While the exact technology stack has not been confirmed, the report noted that infrared components are likely involved. The development also aligns with earlier indications that Google has been working on more advanced face authentication for future Pixel models, potentially including the Pixel 11.

The weakness Google hasn’t fully solved… yet

If Project Toscana delivers on what the leak describes, it would address a longstanding gap in Android devices. Several manufacturers experimented with advanced 3D face recognition systems in the late 2010s, but most backed off after early attempts added hardware complexity without broad consumer adoption.

Dedicated infrared sensors, depth-mapping components, and larger cutouts increased cost and constrained design at a time when slimmer displays and smaller bezels were priorities. As a result, fingerprint sensors — first rear-mounted, then under-display — became the default secure biometric across Android flagships.

Apple took a different route. By tightly integrating infrared hardware and software around Face ID, it established a consistent, hardware-backed facial authentication system that worked in low light and became central to payments and app security. Android phones, by contrast, often relied on camera-based solutions that were convenient but uneven, particularly in darker conditions.

In that context, a renewed push toward advanced facial recognition would be a notable shift.

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Not just a Pixel feature

The inclusion of Chromebooks in the reported testing expands the scope beyond a smartphone upgrade. Laptops operate in less controlled conditions, propped on desks, used in varied lighting, and unlocked repeatedly across longer sessions, where consistency and speed are scrutinized differently than on a handset.

Chromebooks today rely largely on traditional sign-in methods, with biometric support varying by model. Evaluating a more advanced facial recognition system in that setting underscores that the effort is being assessed across device categories, not solely within the Pixel line.

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Liz Ticong

Liz Ticong is a technology writer specializing in artificial intelligence, cybersecurity, software reviews, and emerging business technologies. With more than a decade of professional writing experience and over five years contributing technology content for TechnologyAdvice, she helps readers understand complex technologies and evaluate the tools that best fit their needs. Liz has extensive experience researching, testing, and analyzing software platforms, AI tools, and technology solutions. Her work includes in-depth software reviews, buyer’s guides, product comparisons, and technology news coverage designed to help businesses make informed purchasing and implementation decisions. She regularly evaluates AI applications, automation tools, cybersecurity solutions, and business software, providing practical insights based on hands-on testing and research. In addition to her work with TechnologyAdvice, Liz has contributed technology content to leading industry publications, including eWeek and TechRepublic. Her background in technical writing and software analysis enables her to translate complex technical concepts into clear, actionable guidance for both business and technology audiences. Liz holds a bachelor's degree in Broadcast Communication from the Polytechnic University of the Philippines and continues to expand her expertise through ongoing education in artificial intelligence and emerging technologies. Through her writing, she helps readers navigate a rapidly evolving technology landscape with practical, research-driven insights and real-world product analysis.