Nokia gaze tracking eyewear 10019

 

Sterlite Technologies Ltd., incorporated in the year 2000, is a Mid Cap company (having a market cap of ₹ 4847.01 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 eyewear 10019

Hardware components for augmented reality are: processor, display, sensors and input devices. Modern mobile computing devices like smartphones and tablet computers contain these elements which often include a camera and MEMS sensors such as accelerometer , GPS , and solid state compass , making them suitable AR platforms. [14]

Various technologies are used in Augmented Reality rendering including optical projection systems , monitors , hand held devices , and display systems worn on the human body.


A head-mounted display (HMD) is a display device paired to the forehead such as a harness or helmet. HMDs place images of both the physical world and virtual objects over the user's field of view. Modern HMDs often employ sensors for six degrees of freedom monitoring that allow the system to align virtual information to the physical world and adjust accordingly with the user's head movements. [15] [16] [17] HMDs can provide VR users mobile and collaborative experiences. [18] Specific providers, such as uSens and Gestigon , are even including gesture controls for full virtual immersion . [19] [20]

Sterlite Technologies Ltd., incorporated in the year 2000, is a Mid Cap company (having a market cap of ₹ 4847.01 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.

They say you should put your money where your mouth is, and that’s exactly what I did when I saw the Dell XPS 13 at CES 2015. Squeezing a 13.3in screen into what is, for the rest of the industry, a 12in chassis remains a magical achievement. That its major sleight of hand is to reduce the bezels to almost zero, and in doing so create a luxurious edge-to-edge screen, only adds to its desirability.

That’s why I chose it as my work laptop over 18 months ago. Despite a bruising existence of being thrust in a rucksack each day, and the occasional trip to Las Vegas, it’s holding up exceptionally well. Still, I was curious whether Dell’s latest update to its iconic laptop would make me keen to upgrade.

First let’s tackle the number of major changes Dell has made to the design. Which is, a big fat zero. There is now a 2-in-1 model with a lid that rotates through 360 degrees , much like Lenovo’s Yoga laptops, but the basic XPS 13 design remains nigh-on identical.

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.