Android 9 or P will be called simply Android Pie. Google launched the 9th iteration of Android after more than an year of testing by early adopters. Android Pie is high on machine learning that is your phone will become smarter with time.
For developers, Android Pie gives you new ways to drive engagements and enhance your apps. So let’s look at what Android Pie brings for Android app developers. As I said, the highlight of this year’s Android release is machine learning. Machine learning makes the smartphone faster, long lasting, and easy to use.
To save battery, Android Pie will restrict background activity of rarely used apps. If you’re a developer, make sure your app is optimized for Doze, App Standby, and Background Limits or adaptive battery will inhibit your app’s activities when the user will upgrade to Android Pie.
With Slices, you can enable UI templates that will display outside your app’s full screen experience. User can interact with these rich, dynamic elements belonging to your app from outside it like Google Search app.
Developers can take advantage of the TextClassifiermodels which revolves around TextClassifier API. The model via Linkify API lets developers enable augmented options for quick follow-on user actions.
The machine learning model can identify object like Dates and Flight Numbers.
Android Pie officially supports notched displays now. The display cutout APIs contemplates the place, size and shape of the ‘notch’ and request full-screen layout around it. A developer Option simulates several cutout shapes to shape apps around them.
The new MessagingStyle API displays conversations, adds photographs and stickers, and suggests smart replies. Developers can use ML Kit to enable smart replies on their app.
Android app developers can enable magnifier for all the view options. The Magnifier widget can zoom any view or surface, not mere text.
Developers no more have to build their own dialog for an app. Android Pie introduces BiometricPrompt API that has a stock system dialog. The API at this moment supports Fingerprint, Face and Iris authentication.
Android 9 introduces Android Protected Confirmation to ensure that a prompt is indeed confirmed by the user and happened in a Trusted Execution Environment (TEE). The app can only verify prompt when TEE does.
This will keep the apps safe from false prompts that mimic system prompts.
StrongBox is the new KeyStore type that provides API support for devices that have secure, dedicated hardware to store keys. Keys should be protected by a StrongBox security chip in your KeyGenParameterSpec.
To raise user’s security, all the traffic to and fro from your app and application server will happen over a secure connection. Android Pie will block by default all exchanges between cleartext traffic.
Android Pie will restrict idle apps to gain access to mic, camera and other sensors. Moreover, developers will now need READ_PHONE_STATE permission too to access build.serial. Android app developers can use Build.getSerial() method.
Android Pie natively supports more one streams of open camera in an app for the devices that support multi-camera API and have two or more camera setup. You enable features like loss less zoom, bokeh, and stereo vision.
Android Pie support HDR VP9 Profile 2 on HDR capable devices. In addition, it adds HEIF image encoding. HEIF format compresses image without loss in quality. Developers can use ImageDecode for jpeg-to-heic conversion.
With the API, developers can filter out certain sound frequencies when a user plays audio from their app. If a person is speaking in loud environment, the API can filter out the noise.
The API makes it easier to decode images to bitmaps or drawables. Apps can create bitmaps from URI, byte buffer and file.
Android developers with Android Pie can build indoor positioning support in their apps with native support for Wi-Fi Round-Trip-Time (RTT). If the hardware is present on the device, they can use RTT APIs to find relative distance from an absolute Wi-Fi Access Point.
Google brings GlobalPlatform Open Mobile API to Android Pie. Android app developers can now enable apps to use the OMAPI API to access secure elements (SE) to enable smart-card payments and other secure services.
Android Pie brings several compiler optimizations to Kotlin, especially those that target loops, to extract better performance.
A Modern Android
As part of Android 9 we are modernizing the foundations of Android and the apps that run on it, as part of our deep, sustained investments in security, performance, and stability.
“Make good things together” was the first thing flashing on the screens in Google I/O 2018 developer conference.
Google I/O 2018 developer conference being the biggest event of the year kicked the things off with the jam-packed news. In spite of tight competition, Google has set its sight on becoming the world’s biggest artificial intelligence company, and CEO Sundar Pichai proved that in the conference. He outlined its idea about the software plans in the coming year and aspects of Artificial Intelligence included in it. During its I/O’s keynote, Google demonstrated the subsequent version of its Android operating system, talked about the revamped Google’s news and added features of personal assistant to it. Moreover, the company focused on making development easy and fast, helping developers to increase engagement and building the apps smaller in size.
Here’s a rundown of just about important things Google announced at the keynote:
Android Jetpack – Unified toolkit for Android developers
Android Jetpack is the next generation of Android components and Android support library that helps in managing things like background tasks, navigation, paging and life-cycle management. Jetpack is divided into 4 components
Android developers can download Android Studio 3.2 or higher and start using Activity & Fragment + ViewModel template to include Jetpack in android app development
ML Kit to bring Machine learning to AI
ML Kit brings Google machine learning expertise to mobile developers in a powerful and easy to use package. It consist of API that will help Android developers to include image labeling, text recognition, face detection, barcode scanning, landmark detection and many more. The best thing is, it is available on both online and offline platform and can be accessed in real-time. Developers can use API with little prior knowledge of machine learning and can be used on both iOS and Android platform.
Introduced Android app bundle
Google introduced Android app bundle that makes app radically smaller. It enables users to install app quickly and save space on their device by downloading code and resources required to run your app. A developer can put everything needed for an app to run on multiple architectures and in multiple languages into the console and create bundles that contain only the files particular for user needs.
Koltin Performance improvements
Koltin is improving and in this conference, it majorly focused on further enhancements. It has a collection of modules which contains extensions that optimizes Android platform. Tooling continues to improve with Android Studio, Lint support, R8 optimizations and Android runtime in Android P to build app faster. Using these extensions, developers can make minor improvements in the code. Koltin code snippet is available in the official documentation which is a great resource for the developers who are new to the Koltin.
Slices to increase engagement
Slices enable the user to interact with the apps that are already installed and provide users with a mini snippet of an app when searched in Google search and Google Assistant. Google has developed a new API that enables to place snippet of the installed apps in Google search, Notification bar etc. This helps the users to get something done quickly and easily. For instance, if a user types “I want to book a ride” in a search box, they will see the mini version of the app over there without having to open main app.
Android Instant apps to build apps with ease
Google launched public SDK that is available to everyone for developing instant apps. Google has also built support for this feature into the new Android Studio and IDE enables the developers to modularize app with ease. For developing instant apps, they need to do is modularize the app properly on the basis of isolated features which can refrain them from creating a new app or maintain a separate codebase. An official in-depth guide with code samples is available from Google that enables developers to build apps anytime
Android P is getting personal
Android P will also bring some new APIs which will let developers to know how long the app is in use and how it’s used and can also advice to put the phone down if it is a long time in use. On Android P, device manufacturers will implement things like iris scanning through secure elements on the hardware easily. Moreover, UI elements, notifications and assistants will look extravagant on Android P.
Other AI announcements made in Google I/O 2018
Google came up with the new update in their Google Assistant service to create to-and-fro interaction with the users. These include:-
This new service in Google assistant just got better and convenient for the users. It aims to become completely realistic and simple for new and old Android users.
Google added new features to the Google photos many of which are based on Artificial intelligence. App will enable users to do things like colorize old black-white photos, fix the brightness of under-exposed photos and “pop color”, which colors the subject of the photo and sets the background to grayscale. Moreover, app will also recognize when users are in the photos and will enable quick sharing with the tap of a button.
Google is putting emphasis on the artificial intelligence for the new version of Google news. When app is opened, the user will see new headlines, local news and more and would offer a “full coverage” section that will allow the user to see multiple stories from different sources. Users will be able to subscribe to content in an easier way without having to put credit card information.
Gmail will be able to write emails for the users with only a few keystrokes. It will have a Smart Compose feature and would recommend phrases for the users when they start typing them, pulling from huge emailing history. The feature will operate in the background and when user types, grayed-out pops up will be recommended; the user needs to hit the tab button and suggestion will become a part of your mail.
Google I/O 2018, is all about Digital Wellbeing! Understanding the user preferences, Google focused on machine learning algorithms to do day-to-day tasks. App development ecosystem will become flexible, adaptive and quick; however, mobile app development companies need to pace up with the evolving technologies for adapting the changes being made in the technology front.