Original title: Apple PK Google AR World Who can be king?
Industry Prince has recently been concerned about Apple's move in the VR|AR industry. Apple and Google are really chasing after you in this area and are not afraid to slack off. But why is Apple and Google arguing for the AR?
Industry Jun speculates that because current mobile phone technology is difficult to find new breakthrough points, AR can provide users with new interactive interfaces and achieve more interesting and practical interactive experiences.
The integrated AR function will promote the further development of mobile phone hardware. Sensors such as the IMU's inertial measurement unit will become the standard. The dual camera's role is not only blurry, but also enables environmental recognition and depth perception. AR mobile phones do not need to make too much changes in the hardware design, but can achieve a more fun AR experience, which will undoubtedly become the next focus of the mobile phone industry.
Apple mentioned "machine learning" many times at the WWDC Developer Conference this Monday. It also mentioned a cliché that is especially important in the moment: Apple's equipment and system are more unified and completely controlled by Apple. In contrast, Android is not — Apple thinks this is its innate advantage over Google in the AR field.
Every iPhone phone has the same iOS operating system. Developers often prefer the reason of developing an app for the Apple system because of this reason. In contrast, the Android system has been separated by different hardware devices. One of the consequences is the latest. Android versions tend to run only on high-end models such as Google Pixel, not on low-end models.
Comparing Apple's ability to control the operating system and hardware, fragmentation of the Android system may offset Google's advantage in AR technology, and Apple began to demonstrate the advantages of this control in the AR field. Apple can quickly deploy AR applications to every iOS device. In contrast, Google's AR platform Tango can only run on a few specific new models.
Craig Federighi, senior vice president of Apple Software Engineering, said: "Once the hardware and software are integrated together, Apple can make every iPhone and iPad an AR platform. By then, the world's largest AR platform will be formed."
In contrast, Google, only some of the Android phones will choose to update to the latest version of the operating system, even with its own hardware platform such as Pixel mobile phones, Google still need to rely on third-party manufacturers and operators to provide updated services for Android.
In response to this problem, Google stated that it is working hard to reduce software fragmentation on Android devices, including the introduction of tools to help device manufacturers upgrade the latest version of Android and ensure that the Google Play Store on all types of devices stays updated. Google claims that 93% of users have already upgraded to the latest version of Google Play.
In publishing a new machine learning suite for developers, Federighi once again mentioned Apple's strengths in hardware and software platforms. Federighi said that with the latest machine learning tools provided by Apple, developers can maximize the performance of Apple devices, and get all the data permissions and strong platform compatibility.
"We have Metal Performance Shaders, so it can speed up all depth learning algorithms. In addition, we also support external video cards." Federighi said.
"Metal offers a VR-optimized display pipeline with very high performance. We optimized it in our applications, such as Final Cut, to edit spherical video in a VR environment. We are also working with Valve to launch the Mac Steam VR SDK." We worked with Unity and Unreal to get them to launch Mac's VR engine," Federighi said excitedly.
However, Federighi did not mention specific details that really made these development tools interesting, because Apple understands the gaps in machine learning between companies such as Google and Microsoft. The iPhone team did not publish the first paper on artificial intelligence until last December. In contrast, the International Machine Learning Conference has accepted 44 papers from Google this year, and Microsoft has 33 papers.
In addition, Apple's machine learning products do not rely solely on Apple's own technology. Quartz reporter Dave Gershgorn said: “The pre-trained machine learning models provided by Apple actually come from Google’s image recognition open source code.†This has also been confirmed by Google.
How will Google respond to the rise of the Apple AR Empire? Project Tango is too far away from the user because the starting point is very high. The indoor navigation displayed at this year's I/O conference is really powerful, but we do not know when it will be available on your mobile phone.
Editor:
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STUDDED T POST, METAL FENCE POST |
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MEASUREMENT |
SPEC |
5` |
5.5` |
6` |
6.5` |
7` |
8` |
10ft or other customized length |
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pct/mt |
pct/mt |
pct/mt |
pct/mt |
pct/mt |
pct/mt |
|||
|
LIGHT DUTY |
0.95lb/ft |
464 |
422 |
386 |
357 |
331 |
290 |
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|
1.10lb/ft |
400 |
364 |
334 |
308 |
286 |
250 |
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|
REGULAR DUTY |
1.15lb/ft |
383 |
348 |
319 |
295 |
274 |
239 |
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|
1.25lb/ft |
352 |
320 |
294 |
271 |
252 |
220 |
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HEAVY DUTY |
1.33lb/ft |
331 |
301 |
276 |
255 |
237 |
207 |
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1.50lb/ft |
291 |
268 |
243 |
227 |
210 |
184 |
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Galvanized T-posts:
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Coated with rust-resistant water-based baked enamel paint
Hot dip galvanize coating more than 65um
More durable
Export to American countries
| Y Post/ Star Picket/ Star Posts/ Y Fence Post | |||||||||
| Measurement | 0.45M | 0.60M | 0.90M | 1.35M | 1.50M | 1.65M | 1.80M | 2.10M | 2.40M |
| SPEC | PCS/MT | PCS/MT | PCS/MT | PCS/MT | PCS/MT | PCS/MT | PCS/MT | PCS/MT | PCS/MT |
| 1.58kg/m | 1406 | 1054 | 703 | 468 | 421 | 386 | 351 | 301 | 263 |
| 1.86kg/m | 1195 | 896 | 597 | 398 | 358 | 326 | 299 | 256 | 224 |
| 1.9kg/m | 1170 | 877 | 585 | 390 | 351 | 319 | 292 | 251 | 219 |
| 2.04kg/m | 1089 | 817 | 545 | 363 | 326 | 297 | 27 | 233 | 204 |
| the quantity of holes for Australia and Newzeanland | |||||||||
| Length | 0.45M | 0.60M | 0.90M | 1.35M | 1.50M | 1.65M | 1.80M | 2.10M | 2.40M |
| Holes (Australia) | 2 | 3 | 5 | 11 | 14 | 14 | 14 | 7 | 7 |
| Holes (New Zealand) | 7 | 7 | 7 |
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