1. scandiskwindows9x's Avatar
    Hello to everyone

    I have a simple question I don't know if somebody can answer the question or perhaps can bring a debate about but here goes.

    Somebody feels that the AI picture taking systems of the phones of today (master AI etc branded function on brands of phones ) instead of help to obtain better pictures makes the things worse by doing things of confuse scenes and by example instead of switch to the AI MODE snow or don't suggest an scene mode when take a picture of a mixed scenario of a city with a mountain snowed in the background switch to a incorrect mode and destroy the picture quality immediately? I have a phone ( Huawei mate 10 pro) well it's not the best example perhaps because may be some that do the work better in recognize scenes with AI mode but I feel that phones manufacturers are relying too much in the AI processor for take pictures. I also have an Microsoft Lumia 950XL and feel that this Windows phone without any AI thing do better job talking pictures than a Huawei Mate 10 pro or even my old phone a Samsung Galaxy S7.

    Somebody feels that too much AI applied in the camera is like destroying instead of improving the already great advancement in imaging on the smartphones?

    Best regards Francisco .
    06-15-2019 06:06 PM
  2. belodion's Avatar
    Here's a quotation from Huawei's site, in which they describe to P20's camera:

    "The impressive recognition capability is the result of Huawei's extensive training – in order to 'teach' the processor to identify objects and distinguish one thing from another, Huawei had put the AI through over 10 million images when designing the SoC. It was a long, long laborious process." (My italics.)

    I don't think they'd have worked so laboriously if it had not been worth doing. I don't have a phone with an AI camera myself, but I do know that there have been remarkable improvements to phone cameras over the last few years, and I guess that AI continues that trend.

    I'll move this to General News & Discussion, which I think will be a better forum for it, unless you'd prefer it to be moved to Android Photo & Video.
    06-15-2019 06:44 PM
  3. Rukbat's Avatar
    Check your camera app - if you want that kind of control, set it for spot metering/focusing, and tap the part that you think is significant. If there's a city with a snow-covered mountain in the background, and the city is important to you, tap on the city. (And hope they designed the AI to follow the spot metering.)

    If the mountain is more important to you, tap the mountain.

    What we call "AI" isn't really, it's just a great database lookup. They've trained it that when there's a city in the foreground and a snow-covered mountain in the background it <whichever they trained t to do>. In order to actually be intelligent, it would have to ask you which one is more important - you and I may be standing in the same spot, taking a picture of the same thing, but one wants to emphasize the mountain, thee other wants to emphasize the city - so an AI can't make that kind of decision. But if the AI follows focus/metering, putting it on spot focus, then tapping the spot of interest, should tell the AI "this is the important past". (If it doesn't, Huawei has to rethink the whole thing.)

    No one alive today is going to see the kind of aI that can tell, from what you've done with the phone before, what part of a picture is important to you. Maybe in a century or two.
    ManiacJoe likes this.
    06-17-2019 01:37 PM
  4. Mike Dee's Avatar
    AI cameras are advanced cameras that help to save time by smartly performing the requisite image processing/enhancement in real time, which would otherwise require hours of toiling with the image on Photoshop or Lighthouse—commercial-grade image editing software.

    Now let’s look at the key features of AI-powered cameras.

    Face Recognition
    If you are an iPhone X owner, you are probably using the face unlock feature. This face unlocking ability is actually an AI program. Aside from expensive iPhones, even the cheaper Android smartphones now come with a face unlock feature. Face unlocking analyses the face of the end-user and remembers it. It even learns about changes in the face, so if you completely shave your long beard or go for a bald summer look after years of dreadlocks, it will still manage to recognize you and unlock your phone if you happen to be its owner. It learns about those changes so that your face doesn’t go unrecognized. In fact, face recognition is fast becoming the de-facto authentication method for biometrics applications. Assisted by depth-sensing sensors, the level of safety provided by this technology has met the expectations even in high-security settings and applications, such as banking. The development of secure runtime environments (programs and libraries) has led to growing trust in the technology at the user level, meaning that people are now happily accepting this tech in smartphones, not to mention the many companies working to implement this tech in other domains, including cars, homes, and surveillance applications.

    Emulating Hardware Functions using an Advanced AI

    I’m not trying to promote Pixel, but Google Pixel 3 is said to have one of the best camera phones on the market. And the astonishing fact is that it has only a single camera, not the dual camera, which has become standard for flagship phones. Yet it still boasts one of the best cameras. Where does this camera power come from? No prize for guessing, it’s because of the AI tech in the phone! Google has an enormous amount of data that has been accumulated over the years and artificial intelligence is partially dependent on the quantity of data. Google is miles ahead of its competitors, given its vast ocean of user data. This data helps the tech giant develop accurate computational algorithms that give the camera a superpower that other phones only get when supplemented with additional hardware—a lens in the case of a smartphone camera.

    Google Pixel uses a sophisticated AI technology that easily makes up for the smartphone’s lack of a dual lens. Its camera is not only able to produce the bokeh effect, but can also do some optical zooming. Although many smartphone cameras give the bokeh effect without additional lenses, being able to emulate an optical zoom without hardware is truly incredible.

    The Top shot feature by Google is another useful addition of AI. Suppose you want to take a group picture, but one person blinks. It seems like someone is always doing something in a group photo that makes it come out less than ideal. Maybe someone in the group shakes, squints their eyes against the sun, or perhaps an unwanted piece of fluff floats into the frame of the shot. Here, Top Shot AI from Google can salvage your photo by taking a three-second video capturing the moments just before and after you take a picture. Now, when you snap a photo, Google’s camera software will analyze the earlier and later moments just before and after the shot. It will then present a better image recommendation so that you’re not stuck with a bunch of half-decent photos.

    Overall AI smartphone cameras are not the professional cameras but yes they are improving with lots and lots of upcoming features that would soon overtake professional cameras like DSLR etc.

    The only problem with top shot is that they are low resolution pictures. If I need better quality photos I prefer burst mode which pretty much achieves the same thing with better photos.
    07-01-2019 05:42 AM
  5. LeoRex's Avatar
    I wouldn't worry... These phones were already processing the image, with the addition of AI, all that means is that the algorithms that control the processing are not static equations written by the developer, they are equations that keep adapting based on the information being fed to it and the rules set by the developer.

    So it's manipulating the image just the same, but it should do so with more refinement. And the end result is still dependent on what the developer wants.
    07-17-2019 05:40 PM

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