Skip to main content

Google Pixel 6 Pro camera module may not be user-replaceable

 

google pixel 6 vs 6pro

As we approach the release date of the Google Pixel 6 Pro, it seemed like we knew everything there was to know about the upcoming Google phones. We've seen renders, spec sheets, even teardowns, camera samples, and pricing for some markets. What we're learning now is that Google may go the way of Apple and make it more difficult to get the Pixel 6 Pro fixed, particularly the camera module.

If a leaked page from the Google Pixel 6 Pro's technical repair manual is to be believed, Google appears to be pairing a triple camera module to a unique device from the factory. The document states "RL rear camera is calibrated at vendor site to secure the image/video quality post repair." This page was published to Repair.Wiki and the Wiki page mentions that a replacement module "is different from the production camera module that is paired to the original logic board."

This means that one may not be able to use the camera module from an existing Pixel 6 Pro and install it onto another device. It also suggests that a replacement module might need to be hard coded to work on another Pixel device. The same document says "If changing the logic board: ASP also needs to change the RL Rear camera has the 'GEO' mark. For the replaced Rear Camera from the original device, keep them, and RTV (Return To Vendor)."

In a YouTube video, Louis Rossmann explains that since Apple has made camera module repairs with the iPhone 12 more difficult to perform outside of Apple's authorized repair network, other vendors may see this as an opportunity to do the same. There's no accusation that Google will make third party or DIY repairs more difficult, but the clues are leading in that direction. Still, this would have to be confirmed by actually taking apart two Pixel 6 Pro devices and swapping the camera modules to see whether they work or not.

Rossmann wonders what the benefit is to pair a camera module to the logic board. The leaked document claims it is "to secure the image/video quality post repair." but this statement is met with skepticism.



from TechCrunch https://ift.tt/2YOcrHG
via IFTTT
Labels:

Comments

Post a Comment

Popular posts from this blog

Apple’s AI Push: Everything We Know About Apple Intelligence So Far

Apple’s WWDC 2025 confirmed what many suspected: Apple is finally making a serious leap into artificial intelligence. Dubbed “Apple Intelligence,” the suite of AI-powered tools, enhancements, and integrations marks the company’s biggest software evolution in a decade. But unlike competitors racing to plug AI into everything, Apple is taking a slower, more deliberate approach — one rooted in privacy, on-device processing, and ecosystem synergy. If you’re wondering what Apple Intelligence actually is, how it works, and what it means for your iPhone, iPad, or Mac, you’re in the right place. This article breaks it all down.   What Is Apple Intelligence? Let’s get the terminology clear first. Apple Intelligence isn’t a product — it’s a platform. It’s not just a chatbot. It’s a system-wide integration of generative AI, machine learning, and personal context awareness, embedded across Apple’s OS platforms. Think of it as a foundational AI layer stitched into iOS 18, iPadOS 18, and m...
Post a Comment
Read more

Max Q: Psyche(d)

In this issue: SpaceX launches NASA asteroid mission, news from Relativity Space and more. © 2023 TechCrunch. All rights reserved. For personal use only. from TechCrunch https://ift.tt/h6Kjrde via IFTTT
Post a Comment
Read more

The Silent Revolution of On-Device AI: Why the Cloud Is No Longer King

Introduction For years, artificial intelligence has meant one thing: the cloud. Whether you’re asking ChatGPT a question, editing a photo with AI tools, or getting recommendations on Netflix — those decisions happen on distant servers, not your device. But that’s changing. Thanks to major advances in silicon, model compression, and memory architecture, AI is quietly migrating from giant data centres to the palm of your hand. Your phone, your laptop, your smartwatch — all are becoming AI engines in their own right. It’s a shift that redefines not just how AI works, but who controls it, how private it is, and what it can do for you. This article explores the rise of on-device AI — how it works, why it matters, and why the cloud’s days as the centre of the AI universe might be numbered. What Is On-Device AI? On-device AI refers to machine learning models that run locally on your smartphone, tablet, laptop, or edge device — without needing constant access to the cloud. In practi...
Post a Comment
Read more