{"id":239520,"date":"2021-04-30T20:42:19","date_gmt":"2021-04-30T17:42:19","guid":{"rendered":"https:\/\/en.buradabiliyorum.com\/bat-sense-algorithm-could-be-used-to-monitor-people-and-property-without-cameras\/"},"modified":"2021-04-30T20:42:19","modified_gmt":"2021-04-30T17:42:19","slug":"bat-sense-algorithm-could-be-used-to-monitor-people-and-property-without-cameras","status":"publish","type":"post","link":"https:\/\/buradabiliyorum.com\/en\/bat-sense-algorithm-could-be-used-to-monitor-people-and-property-without-cameras\/","title":{"rendered":"#\u2018Bat-sense\u2019 algorithm could be used to monitor people and property without cameras"},"content":{"rendered":"

“#\u2018Bat-sense\u2019 algorithm could be used to monitor people and property without cameras<\/strong>”<\/p>\n

A \u201cbat-sense\u201d algorithm that generates images from sounds could be used to catch burglars and monitor patients without using CCTV, the technique\u2019s inventors say.<\/p>\n

The machine-learning algorithm developed at Glasgow University uses reflected echoes to produce 3D pictures of the surrounding environment.<\/p>\n

The researchers say smartphones and laptops running the algorithm could detect intruders and monitor care home patients.<\/p>\n

[Read:\u00a03 new technologies ecommerce brands can use to connect better with customers]<\/em><\/p>\n

Study lead author Dr Alex Turpin said two things set the tech apart from other systems:<\/span><\/p>\n

Firstly, it requires data from just a single input \u2014 the microphone or the antenna \u2014 to create three-dimensional images.\u00a0Secondly, we believe that the algorithm we\u2019ve developed could turn any device with either of those pieces of kit into an echolocation device.<\/span><\/p>\n<\/blockquote>\n

The system\u00a0analyses\u00a0sounds emitted by speakers\u00a0or radio waves pulsed from small antennas. The algorithm measures how long it takes for these signals to bounce around a room and return to the sensor. <\/span><\/p>\n

It then analyzes the signal to calculate the shape, size, and layout of the room, as well as pick out the presence of objects or people. Finally,<\/span>\u00a0the data is converted into 3D images that are displayed as a video feed.<\/p>\n

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Credit: University of Glasgow<\/figcaption>
<\/a>The researchers trained the algorithm on echo data from a microphone and image data from a camera. Eventually, it learned to associate specific delays in the echoes with images.<\/figcaption><\/figure>\n

The system functions in a similar way to how bats use\u00a0echolocation<\/span> to navigate and hunt. The mammals send\u00a0out sound waves that bounce back when they hit an object. The bats then interpret the echoes to\u00a0determine the object\u2019s location, size, and the direction (if any) that it\u2019s moving.<\/p>\n

The researchers believe their algorithmic recreation of this natural ability could greatly reduce the cost of 3D imaging.<\/p>\n

You can read the research paper in the journal Physical Review Letters<\/a>.<\/p>\n

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