Now you can withdraw cash from ATMs using Google Glass

Dominique Schroder, IT expert and assistant professor of cryptographic algorithms at the Saarland University in Germany, has come up with a new tool called ‘Ubic’, which would allow users of Google Glass to withdraw cash from ATMs, without losing their confidential data. Ubic essentially combines Google Glass with cryptographic methods and automated image analysis.

Users will first need to identify themselves to the cash machine in order to access it. Ubic will use the public key to encrypt the one-way personal identification number (PIN). It will then seal it additionally with a digital signature. The result will show up on the screen in the form of a QR code that is basically a black-and-white pattern that carries a unique PIN at the lower end. The PIN will only be visible to the identified wearer of Google Glass, and not to anyone else.

“Google Glass decrypts it and shows it in the wearer’s field of vision. Although the process occurs in public, nobody is able to spy on the PIN,” Schroder was quoted as saying. Moreover, the PIN is re-generated each time the customer uses the ATM, adding to greater security. Only the customer will be able to decrypt the encryption done by the public key, with the unique secret key. “As long as this is safely stored on the Google Glass, the user’s money is also safe,” Schroder added.

Meanwhile, wearable technology is gradually becoming the order of the day. After Galaxy Gear, Samsung is planning to launch its version of Google Glass. According to a report from Korea Times, the Google Glass alternative, codenamed as Galaxy Glass, is poised to debut in the upcoming IFA trade fair, scheduled to happen in Berlin. movie ‘Ram-Leela’ to predict that the movie would have a good first weekend. IBM was 73 per cent confident of its prediction, and indeed the movie did have a good first weekend and went on to become a big hit.

IBM reportedly analysed over 700,000 posts on social networks like YouTube, Facebook and Twitter for 25 different films. The movies analysed include Kahaani, Agneepath, Barfi, Ek Tha Tiger, Bhaag Milkha Bhaag and Kai Po Che.