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The University of Maryland made a shocking statement about robotic vacuum cleaners, one of the most popular home cleaning devices of recent times. As a result, a group of researchers announced that by infiltrating robot vacuum cleaners, these devices, which are becoming more common in many countries, can be used to record sounds in the home.
According to BBC Turkish news, A group of researchers from the University of Maryland in the United States has come up with a flash statement on robotic vacuum cleaners. According to the researchers’ statement, robotic vacuum cleaners record sounds in the home.
Computer experts have turned these robots that don’t normally have microphones into recording devices using signal processing and deep learning techniques. All devices using light sensing and “Lidar” distance measurement technology can be manipulated with this method, the researchers say.
The results of the project carried out with the University of Singapore were shared yesterday in a conference of the ACM IT Community.
The “House SPEAK while resting”
Dr. Nirupam Roy, “We bring these devices to our home without thinking about anything. But with our work, we have shown that even if these devices do not have microphones, we can adapt the systems used for navigation to another purpose and use them to listen to conversations at home” . She said.
LIFE INFORMATION IS STORED
In the Lidar technology used in these devices, the robot vacuum cleaner finds its direction by reflecting the laser beams and does not hit objects. In this technology, the distance is measured based on the time difference between the start and return of the signal. Experts say the maps created by robotic vacuum cleaners for rooms are often stored in cloud systems and are susceptible to privacy breaches. Some experts point out that advertisers can access other information that can provide clues to home size and lifestyle as an indicator of income level.
HOW WERE THE SOUNDS LISTENED?
Sound waves make objects vibrate. This vibration causes a slight change in the light reflected from the object. Laser microphones used in espionage since the 1940s transform these variations into sound waves. Laser microphones such as laser beam glass need to be reflected in many levels.
In the robot vacuum cleaner Lidar, the device scans the room with a laser and detects the rays reflected by objects of irregular shape and density.
The signals detected by the vacuum cleaner sensor provide very little information needed to receive sound waves.
Therefore, as part of the research, it was investigated whether the broom’s Lidar system can function as a microphone and whether the signal can be converted into meaningful sound signals. The researchers hacked a robot vacuum to show that they could control the position of the laser beam and transmit the detected data to their laptop via Wi-Fi without interfering with the device’s navigation. Then, experiments were carried out with two sound sources.
In one of them, the repeated figures from a person were transmitted to the room through the computer speaker, and in one, the sounds of the television were used. Then, the laser signals detected by the navigation system of the robot vacuum cleaner were recorded, reflected by objects close to the sound source.
The signals were passed through deep learning algorithms designed for human and television voices. The system knew the digits repeated by the researcher with 90% accuracy.
In the one-minute audio file recorded on television, the accuracy rate was seen to be over 90%.
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