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A camera system developed by Carnegie Mellon University researchers can see sound vibrations with such precision and detail that it can reconstruct the music of a single instrument in a band or orchestra.
Even the most high-powered and directed microphones can't eliminate nearby sounds, ambient noise and the effect of acoustics when they capture audio. The novel system developed in the School of Computer Science's Robotics Institute (RI) uses two cameras and a laser to sense high-speed, low-amplitude surface vibrations. These vibrations can be used to reconstruct sound, capturing isolated audio without inference or a microphone.
"We've invented a new way to see sound," said Mark Sheinin, a post-doctoral research associate at the Illumination and Imaging Laboratory (ILIM) in the RI. "It's a new type of camera system, a new imaging device, that is able to see something invisible to the naked eye."
The team completed several successful demos of their system's effectiveness in sensing vibrations and the quality of the sound reconstruction. They captured isolated audio of separate guitars playing at the same time and individual speakers playing different music simultaneously. They analyzed the vibrations of a tuning fork, and used the vibrations of a bag of Doritos near a speaker to capture the sound coming from a speaker. This demo pays tribute to prior work done by MIT researchers who developed one of the first visual microphones in 2014.
Quantum computers are one of the key future technologies of the 21st century. Researchers at Paderborn University, working under Professor Thomas Zentgraf and in cooperation with colleagues from the Australian National University and Singapore University of Technology and Design, have developed a new technology for manipulating light that can be used as a basis for future optical quantum computers. The results have now been published in Nature Photonics.
New optical elements for manipulating light will allow for more advanced applications in modern information technology, particularly in quantum computers. However, a major challenge that remains is non-reciprocal light propagation through nanostructured surfaces, where these surfaces have been manipulated at a tiny scale.
Professor Thomas Zentgraf, head of the working group for ultrafast nanophotonics at Paderborn University, explains that "in reciprocal propagation, light can take the same path forward and backward through a structure; however, non-reciprocal propagation is comparable to a one-way street where it can only spread out in one direction."
Biometric authentication like fingerprint and iris scans are a staple of any spy movie, and trying to circumvent those security measures is often a core plot point. But these days the technology is not limited to spies, as fingerprint verification and facial recognition are now common features on many of our phones.
Now, researchers have developed a new potential odorous option for the biometric security toolkit: your breath. In a report published in Chemical Communications, researchers from Kyushu University's Institute for Materials Chemistry and Engineering, in collaboration with the University of Tokyo, have developed an olfactory sensor capable of identifying individuals by analyzing the compounds in their breath.
Combined with machine learning, this "artificial nose," built with a 16-channel sensor array, was able to authenticate up to 20 individuals with an average accuracy of more than 97%.
In this age of information and technology, biometric authentication is a critical way to safeguard valuable assets. From the usual suspects of fingerprints, palm prints, voices, and faces to the less common options of ear acoustics and finger veins, there are a variety of biometrics that machines can use to identify you.