Samsung Galaxy S9, S9+ India launch today: Know all about features & specs

Samsung Galaxy S9, S9+ India launch today: Know all about features & specs Samsung India has collaborated with home-grown e-commerce giant Flipkart and India's leading telecom operator Airtel for the online sale of its Galaxy S9 and Galaxy S9+ smartphones

Samsung India is gearing up to launch the Galaxy S9 and Galaxy S9+ smartphones in India on March 6. The Galaxy S-series flagship smartphones were first unveiled at the Mobile World Congress 2018. The next-generation smartphones are built on the blueprint of the Galaxy 8-series, but with deeper artificial intelligence integration, enhanced camera modules and all-round multimedia capabilities.

The South Korean electronics manufacturer has collaborated with home-grown ecommerce giant Flipkart and India’s leading telecom operator Airtel for online sale of the Galaxy S9 and Galaxy S9+.

Soon after the international unveiling at the MWC, Samsung started taking pre-orders through its official portal. However, both Flipkart and Airtel would take the pre-booking starting today.

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 the previousgeneration devices, now support slow-mo up to 960 frames per second – that challenges Sony’s monopoly in this segment.

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.

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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