Nokia gaze tracking feature umts

 

Sterlite Technologies Ltd., incorporated in the year 2000, is a Mid Cap company (having a market cap of ₹ 5012.30 Cr.) operating in Cables sector.

For the quarter ended 31-12-2016, the company has reported a Consolidated sales of ₹ 720.07 Cr., up 33.39 from last quarter Sales of ₹ 539.83 Cr. and up 22.49 from last year same quarter Sales of ₹ 587.86 Cr. Company has reported net profit after tax of ₹ 54.42 Cr. in latest quarter.

Nokia gaze tracking feature umts

Traditionally, I’ve recommended that PC gamers avoid 17-inch gaming laptops unless absolutely necessary for two key reasons. First, because their ridiculous size means they’re normally laptops in name only. Second, because they’re super-expensive and run lower powered, mobile GPUs that can't be upgraded and don’t come close to matching desktop performance.

This year, my opinion could change. Thanks to great work by Nvidia and OEMs, we’re set to see a fresh wave of top-notch 17-inch gaming notebooks that run full-fat desktop GPUs in the very near future.

The Alienware 17 is one of the first set to hit the market and, thanks to the addition of nifty eye-tracking tech, it could be one of 2016’s most exciting gaming laptops.

Sterlite Technologies Ltd., incorporated in the year 2000, is a Mid Cap company (having a market cap of ₹ 5012.30 Cr.) operating in Cables sector.

For the quarter ended 31-12-2016, the company has reported a Consolidated sales of ₹ 720.07 Cr., up 33.39 from last quarter Sales of ₹ 539.83 Cr. and up 22.49 from last year same quarter Sales of ₹ 587.86 Cr. Company has reported net profit after tax of ₹ 54.42 Cr. in latest quarter.

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The Tobii Eye Tracker is a way of adding another layer of interactivity to your computer. Designed to fit on your existing laptop or monitor, the slim eye-tracking bar constantly monitors where you're looking on-screen, allowing for applications, including games, to respond accordingly.

It's built into several high-end gaming peripherals, including some Acer Predator laptops and monitors and functions identically as a standalone unit.

But while the technology is super cool and works surprisingly well, it currently doesn't add enough features to be the next must-have accessory. Plus, I’m not convinced it will be worth the initial investment for most.

UPDATE, code for OpenCV3 + Android Studio is on GitHub This tutorial is for older samples, if you are starting with the new ones (2.4.6) please look at this updated tutorial . Method and principles of matching are the same for both.

Finally I found some time to write promised tutorial of eye detection and template matching on Android. Since OpenCV for Android is getting better and better, some code snippets can be old and not the best possible way to solve the problem. If you found some improvements, please comment or contact me, I will edit this post and share it to others.

We take standard OpenCV example for face detections and extends it a little.
Android OpenCV SDK can be found here
If you arent’n familiar with Eclipse and OpenCV yet, please read basic setup of opencv4android first.
Import Face detection sample to Eclipse and clean/build the project to be sure is correctly imported and working.