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Is Your iPhone Good Enough to Be a 3D Scanner?

For creating 3D printer files, your options include smartphone apps or expensive standalone scanners.

Most 3D scanners are handheld devices that scan small to medium-sized objects with a high degree of accuracy. The resulting files are used for 3D modeling or 3D printing and they can produce fantastic results — if you’re patient and willing to learn how to use them. 

These scanners, like the popular Revopoint Pop 2, can cost $700 and have a steep learning curve. Alternatively, if you own an iPhone 12 Pro or higher you can almost recreate what a fancy 3D scanner does. It isn’t quite as accurate, especially for 3D printing, but if you spend some time tweaking, the output can be just about as good.

Read more: Best 3D Printer

Creating 3D prints from files uploaded to communities like Thingiverse or Printables is fine, but once you can scan and recreate real-world objects, there’s no limit to what you can create. For example, you could replicate a collectible figure or scan a broken mechanical part to recreate it.

Using a 3D scanner

Pros:

  • Can capture detail down to 0.1mm
  • Dimensional accuracy is excellent
  • Very little clean-up when you succeed

Cons:

  • Often costs more than a 3D printer
  • Software is often very hard to use
  • Creating a usable model is painfully difficult

3D scanners use reflected light — sometimes in the form of lasers — to map the surface of an object. The scanner uses two cameras to judge depth and create a «point cloud» that can be fused together to make a solid object. That solid model is often incredibly accurate down to the smallest crack or imperfection.

03-3d-scanner 03-3d-scanner

Sarah Tew/CNET

But scanning an object can be difficult. The scanner needs to be the right distance from the object you’re scanning at all times, and the object has to be the right color and reflectivity as well. Often, you will need a 3D scanning spray to coat your model in a white, evaporative coating to make scanning easier. This is not possible with human subjects, but does help with inanimate ones. Or at least it should. 

I’ve spent hours using 3D scanners and struggle every time to produce a model that could be 3D printed. Often a scan will lose connection, then restart in the wrong place, causing severe disruption. After a lot of trial and error, I’ve managed to get several usable models, but the amount of work it took just didn’t seem cost-effective. 

Using your iPhone

Pros:

  • Incredibly fast scanning
  • Models are instantly usable as online resources
  • You likely already own one

Cons:

  • Lower detail and quality
  • Can need a lot of clean-up to make it 3D print-ready
polycam shoe scan polycam shoe scan

James Bricknell/CNET

iPhones have a lot of cool technology that makes them excellent 3D scanners, including good cameras for photogrammetry and lidar technology for larger objects like cars or the inside of your home. 

Photogrammetry is the best way to create a fully realized 3D model if you want that model to only exist digitally. It uses multiple pictures — the more pictures the better — to create a realistic facsimile of an object. The depth mapping is far rougher than a 3D scanner, but the textures and photo imagery make the model look extremely detailed. As you can see, the shoe in the image above looks identical to the real thing when the textures are shown, but the model I 3D-printed from it has lost a lot of its details.

A purple 3D-printed shoe A purple 3D-printed shoe

James Bricknell/CNET

The coolest thing about photogrammetry, especially on an app like Polycam, is that it can be used with any camera you have, including DSLR cameras and even drones. You simply upload as many images as you want to the Polycam app and it will spit out a 3D rendering of the object you took, whether that’s a shoe or the Grand Canyon. It even works with Android phones, though none of those have the lidar technology like the iPhone.

A 3D rendered mailbox using Polycam A 3D rendered mailbox using Polycam

James Bricknell/CNET

Lidar only works if you have an iPhone 12 Pro or later, but it’s excellent for scanning larger objects like mailboxes, pool tables and even cars. It works a lot like an expensive 3D scanner — by bouncing light off an object and measuring the distance the light travels — but it has a much lower resolution. This makes it excellent at scanning large, simple objects, especially if you’re keeping them as digital models.

Both photogrammetry and lidar imagery are extremely easy to use on your iPhone and require very little technical know-how to get right. They both need an app though, and after using several different ones, I found Polycam is the best choice.

Polycam costs $80 a year and offers both lidar and photogrammetry. More than that, it uses those systems in some really fun ways. Not only can you scan objects to create 3D models, but you can scan the walls inside your house and build a 3D floor plan. You can even 3D print that floor plan complete with walls, stairs and window and door openings. 

When scanning an object on Polycam for 3D printing I was able to get good quality, low-resolution scans for organic shapes and much better scans of simple objects. Using Polycam to scan a broken sliding door handle was quick and simple and allowed me to accurately replicate a replacement. In fact, if you’re used to using programs like Blender — a free 3D sculpting tool on the PC and Mac — or Nomad Sculpt on the iPad or iPhone, you can import the Polycam file and spruce it up before printing. 

Should you buy a 3D scanner if you own an iPhone?

I’ve spent a lot of time with several different 3D scanners and they all have the same inherent flaw: They’re just too picky to work for consumers. In a commercial setting, where everything can be controlled and your day is dedicated to getting this machine to work perfectly, then sure, a 3D scanner makes sense. If you’re a hobbyist though, with a life that requires more from you than endless hours of slow scanning, an iPhone is a better option.

Even if you don’t own an iPhone, you can pick up an iPhone 12 Pro — the first with lidar — for around $550, several hundred dollars cheaper than a 3D scanner. And once you’re done 3D scanning shoes, mailboxes, cars and houses, you still have an iPhone that can do a hundred other things too.

Technologies

Google races to put Gemini at the center of Android before Apple’s AI reboot

Google is using its latest Android rollout to position Gemini as the AI layer across phones, Chrome, laptops and cars.

Google is using its latest Android rollout to make Gemini less of a chatbot and more of an operating layer across the phone, browser, car and laptop, just weeks before Apple is expected to show its own Gemini-powered Apple Intelligence reboot at WWDC.
Ahead of its Google I/O developer conference next week, the company previewed a number of Android updates, including AI-powered app automation, a smarter version of Chrome on Android, new tools for creators, a redesigned Android Auto experience, and a sweeping set of new security features.
Alphabet is counting on Gemini to help Google compete directly with OpenAI and Anthropic in the market for artificial intelligence models and services, while also serving as the AI backbone across its expansive portfolio of products, including Android. Meanwhile, Gemini is powering part of Apple’s new AI strategy, giving Google a role in the iPhone maker’s reset even as it races to prove its own version of personal AI on the phone is further along.
Sameer Samat, who oversees Google’s Android ecosystem, told CNBC that Google is rebuilding parts of Android around Gemini Intelligence to help users complete everyday tasks more easily.
“We’re transitioning from an operating system to an intelligence system,” he said.
As part of Tuesday’s announcements. Google said Gemini Intelligence will be able to move across apps, understand what’s on the screen and complete tasks that would normally require a user to jump between multiple services. That means Android is moving beyond the traditional assistant model, where users ask a question and get an answer, and acting more like an agent.
For instance, Google says Gemini can pull relevant information from Gmail, build shopping carts and book reservations. Samat gave the example of asking Gemini to look at the guest list for a barbecue, build a menu, add ingredients to an Instacart list and return for approval before checkout.
A big concern surrounding agentic AI involves software taking action on a user’s behalf without permissions. Samat said Gemini will come back to the user before completing a transaction, adding, “the human is always in the loop.”
Four months after announcing its Gemini deal with Google, Apple is under pressure to show a more capable version of Apple Intelligence, which has been a relative laggard on the market. Apple has long framed privacy, hardware integration and control of the user experience as its advantages.
Google’s Android push is designed to show it can bring AI deeper into the device experience while still giving users control over what Gemini can see, where it can act and when it needs confirmation.
The app automation features will roll out in waves, starting with the latest Samsung Galaxy and Google Pixel phones this summer, before expanding across more Android devices, including watches, cars, glasses and laptops later this year.
The company is also redesigning Android Auto around Gemini, turning the car into another major surface for its assistant. Android Auto is in more than 250 million cars, and Google says the new release includes its biggest maps update in a decade and Gemini-powered help with tasks like ordering dinner while driving.
Alphabet’s AI strategy has been embraced by Wall Street, which has pushed the company’s stock price up more than 140% in the past year, compared to Apple’s roughly 40% gain. Investors now want to see how Gemini can become more central to the products people use every day.
WATCH: Alphabet briefly tops Nvidia after report of $200 billion Anthropic cloud deal

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Waymo recalls 3,800 robotaxis after glitch allowed some vehicles to ‘drive into standing water’

Waymo issued a voluntary recall of about 3,800 of its robotaxis to fix software issues that could allow them to drive into flooded roadways.

Waymo is recalling about 3,800 robotaxis in the U.S. to fix software issues that could allow them to “drive onto a flooded roadway,” according to a letter on the National Highway Traffic Safety Administration’s website.
The voluntary recall is for Waymo vehicles that use the company’s fifth and sixth generation automated driving systems (or ADS), the U.S. auto safety regulator said in the letter posted Tuesday.
Waymo autonomous vehicles in Austin, Texas, were seen on camera driving onto a flooded street and stalling, requiring other drivers to navigate around them. It’s the latest example of a safety-related issue for the Alphabet-owned AV unit that’s rapidly bolstering its fleet of vehicles and entering new U.S. markets.
Waymo has drawn criticism for its vehicles failing to yield to school buses in Austin, and for the performance of its vehicles during widespread power outages in San Francisco in December, when robotaxis halted in traffic, causing gridlock.
The company said in a statement on Tuesday that it’s “identified an area of improvement regarding untraversable flooded lanes specific to higher-speed roadways,” and opted to file a “voluntary software recall” with the NHTSA.
“Waymo provides over half a million trips every week in some of the most challenging driving environments across the U.S., and safety is our primary priority,” the company said.
Waymo added that it’s working on “additional software safeguards” and has put “mitigations” in place, limiting where its robotaxis operate during extreme weather, so that they avoid “areas where flash flooding might occur” in periods of intense rain.
WATCH: Waymo launches new autonomous system in Chinese-made vehicle

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Technologies

Qualcomm tumbles 13% as semiconductor stocks retreat from historic AI-fueled surge

Semiconductor equities reversed sharply after a broad AI-driven advance, with Qualcomm suffering its worst day since 2020 amid inflation concerns and rising oil prices.

Semiconductor stocks fell sharply on Tuesday, reversing course after an extensive rally that had expanded the artificial intelligence investment theme well past Nvidia and driven the industry to unprecedented levels.

Qualcomm plunged 13% and was on track for its steepest single-day decline since 2020. Intel shed 8%, while On Semiconductor and Skyworks Solutions each lost more than 6%. The iShares Semiconductor ETF, which benchmarks the overall sector, fell 5%.

The sell-off came after a key gauge of consumer prices came in above forecasts, and as conflict in Iran pushed crude oil higher—prompting investors to shift away from riskier assets.

The preceding advance had widened the AI opportunity set beyond longtime industry leader Nvidia, which for much of the past several years had largely carried the market to new peaks on its own.

Explosive appetite for central processing units, along with the graphics processing units that power large language models, has sent chipmakers to all-time highs.

Market participants are wagering that the shift from AI model training to autonomous agents will lift demand for additional AI hardware. Among the beneficiaries are memory chip producers, which are raising prices as supply remains tight.

Micron Technology slid 6%, and Sandisk cratered 8%. Sandisk’s stock has surged more than six times over since January.

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