Saturday, September 22, 2012

CORNING -a mind-blowing concept of future glass

    CORNING- a made of glass is the about the technology of glass that we are going to use
in near future.


  "CORNING" many of them will not be familiar with this word. now let me tell what it is about!.
   Corning's history is filled with breakthrough role in the way the world works, day-in and day-out.
Drawing on more than 160 years of invention, corning has positioned itself as the world leader in
specialty glass and ceramics,creating and manufacturing keystone components that enable 
high-technology systems. 

    So corning-the future of glass enabling the future communication ,
 collaboration and connectivity.
   The process of is to make the glass ultra-thin,durable and stronger.
Making the stronger glass called gorilla glass  is done by corning process.

  "Gorilla Glass" could one day become a household phrase, but Corning has even larger ideas.

     "A Day Made of Glass 2" is a montage of "how highly engineered glass, with companion technologies, will help shape our world," according to Corning. It is mind-blowing to imagine
everyday objects suddenly having rich, interactive displays and multiple functionalitis.
     After watching the video, I began to think about how intelligent glass, installed on a broad scale, could change the world. There are two key integrations: in the education and medical fields.




    In this video, kids sit in rows of workstations in a classroom with a large, interactive touch-screen display and a teacher. Computers show only what is on the main display with no distractions. The menu system and interactive features, combined with a teacher's expertise, compel the kids to pay attention and learn. I certainly feel this is what education could be, and should be. Just seeing the purported UI reminds me of how it is sad that we'll see something like this in a mobile device before we see it integrated into our schools.

    There's also a portrayal of a hospital with fancy futuristic Corning glass setups. Aside from the expected tablets for carrying around information and status. The clip shows a doctor video-conferencing with another doctor thousands of miles away.


   The psychics at Corning also suggest that hospital rooms in the future could be made entirely of high-tech specialty glass that could offer antimicrobial qualities that "inhibit the growth of microorganisms."
   There are many more examples that we could speak about from this video. By the way, This is
not a story of glass.
    Its a story about shift in a way we comminucate,collaborate and use the technology
 in the future.
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Sunday, September 16, 2012

Facial Recognition

A facial recognition system is an information processing system application for automatically identifying or validating a person from a digital image or a video frame from a video source. One of the ways to do this is by comparing selected facial features from the image and a facial database.

It is typically used in security systems and can be compared to other biometrics such as fingerprint or eye iris recognition systems.

In recent years automatic face recognition has received significant attention from both research communities and the securities industry, but still remained very difficult in real applications. A number of typical  algorithms are presented, being classified into appearance-based and model-based schemes.

Classification of Face Recognition Scenarios:
Face recognition scenarios can be classified into two types,
(i) Face verification (or authentication)
(ii) Face identification (or recognition).

Face verification is a ”Am I who I say I am” based model. It is a one-to-one match that compares a picture with a previously stored one. To evaluate the verification performance, the verification rate vs. false accept rate is plotted, This is called ROC curve. A good verification system should balance these two rates based on operational needs.

Face identification is a ”Who am I” based model. It is a one-to-many matching process that compares a query face image against all the template images in a face database to determine the identity of the query face . The identification of the test image is done by locating the image in the database who has the highest similarity with the test image.

Recognition algorithms can be divided into two main approaches, geometric, which deals with distinguishing features, or photometric, which distils an image into values and compares the values with templates to eliminate variances.

3-dimensional recognition:

A newly emerging trend, claimed to achieve improved accuracies, is three-dimensional face recognition. This technique uses 3D sensors to capture information about the shape of a face. This information is then used to identify peculiarities on the surface of a face.

One advantage of 3D face recognition is that it is not affected by changes in lighting like other techniques. It can also identify a face from a range of viewing angles. 3D data points from a face immensely improve the preciseness of facial recognition. 3D research is enhanced by the development of sophisticated sensors that do a better job of capturing 3D face imagery. The sensors work by projecting structured light onto the face. Each image sensor captures a different part of the spectrum.

Skin texture analysis:

Another emerging trend uses the visual details of the skin, as captured in standard digital or scanned images. This technique, called skin texture analysis, turns the unique lines, patterns, and spots apparent in a person’s skin into a mathematical space.

Tests have shown that with the addition of skin texture analysis, performance in recognizing faces can increase 20 to 25 percentage.

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