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Drones will drive flocks of birds away from airports

10.08.2018

In ordinary life, the use of drones on the territory of airports or in their immediate vicinity is prohibited, but in the near future the situation will change, but only for special automatic drones that will scare away flocks of birds.

With manual control, the operator can make various mistakes, as a result of which the flock will become even more uncontrollable, which can lead to a collision with aircraft.

To do this, scientists at the California Institute of Technology have developed an algorithm that allows unmanned aerial vehicles to independently direct flocks of birds in the right direction.

They were inspired by an incident known as the "Miracle on the Hudson" in 2009. Then the plane, which collided with a flock of birds, lost both engines at low altitude and miraculously landed on the Hudson River, which was made possible thanks to the professionalism of the aircraft commander Chesley Sullenberger.

However, such situations may well have a more tragic outcome, the developers who created the algorithm considered. Drones record how the flock is formed, how it reacts to "threats", while the computer system forms a further model of the flock's behavior and issues commands to the drone.

The developers have already successfully tested this system, proving that one drone can easily cope with a flock of several dozen birds.

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Sensor for biometric breath authentication 28.06.2022

Today, a person can be identified by a fingerprint, iris or face, but progress does not stand still, and Japanese scientists offer a new method of authentication. They developed a biometrics system based on a sensor that recognizes people by the composition of the exhaled air. Combined with machine learning technology, this "artificial nose" is nearly 98% accurate.

In the age of digital information, biometrics is an important way to protect valuable data. In addition to the already familiar fingerprints and palms, voices and faces, there are less common options: through the veins on the fingers or electrical brain waves.

"All these methods are based on the physical uniqueness of each individual, but they are not completely reliable. Physical characteristics can be copied or even broken by trauma," explained Chayanut Jirayupat of Kyushu University, one of the researchers. "Recently, a new class of biometric authentication has emerged that uses a unique chemical composition for personal identification".

A team of scientists decided to explore the biometric potential of human breath. In the end, the composition of exhaled substances has already learned to diagnose cancer, diabetes, and even COVID-19. The analysis showed that 28 breath components can be used for authentication, writes EurekAlert.

Based on these data, a 16-channel sensor was created, each of the channels of which identifies its own set of connections. The data is then fed into a machine learning system that analyzes the makeup and develops a profile that is then used to identify the individual.

After testing the system on breath samples from six people, the researchers found an average identification accuracy of 97,8%. This level did not change even when the number of samples grew to 20, and the group consisted of people of different nationalities, sex and age.

Biometric authentication is increasingly replacing traditional passwords. Engineers from the United States have improved the method of establishing the identity of the pattern of finger vessels by adding one more dimension to the two. The new biometrics system is wrong only 1% of the time.

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