Mwc 2018 samsung galaxy s9, galaxy s9 with dual rear cameras launched

MWC 2018: Samsung Galaxy S9, Galaxy S9+ with dual rear cameras launched

Samsung Galaxy S9, Galaxy S9+ unveiled at MWC 2018: Features, specs and more on Business Standard. Galaxy S9 and Galaxy S9 Plus at Mobile World Congress 2018 in Barcelona, it's the next generation smartphone built on blueprint of Galaxy 8 series. Know Samsung Galaxy S9 and Galaxy S9 plus price in India.

Technology News South Korean electronics manufacturer Samsung on February 25 introduced the Galaxy S9 and Galaxy S9 Plus at the Mobile World Congress in Barcelona.

The next-generation smartphones are built on the blueprint the of Galaxy 8-series, bbut with deeper artificial intelligence integration, enhanced camera modules and all-round multimedia capabilities.

Multimedia, imaging, security and mobility have always been the core of Samsung’s Galaxy S-series.

The 2018 flagship devices have evolved more on these to offer a complete package.

Here are some of the key features of the devices: Camera In a first for any Galaxy S-series smartphone, the South Korean giant has integrated a dual aperture (f/1.5 and f/2.4) lens in a super-speed dual-pixel sensor powered by a dedicated processor and memory chip. The camera in the Galaxy S9 and Galaxy S9 Plus has also improved on slow-motion capabilities. The smartphones, unlike any of its previous generation, now support slow-mo up to 960 frames per second – that challenges Sony’s monopoly in this segment.

Galaxy S9 variable apertureGalaxy S9 variable aperture Both the devices offer automatic motion detection, a feature that detects movement in the frame and automatically begins to record – all that users have to do is set up the shot. For content

creators and social media enthusiasts alike, the devices offer on-the-go remixing of shots with selected background music tracks or a tune from playlist.

Galaxy S9 AR EmojiGalaxy S9 AR Emoji The camera unit in the devices now supports animated emojis. They use a data-based machine learning algorithm which analyses a 2D image of the user and maps out more than 100 facial features to create a 3D model reflecting and imitating expressions like winks and nods, for personalisation.

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