[Courtesy of KT]
KT said in a statement on Wednesday that GiGAsound Doctor analyzes the sound of machines and predicts which part will soon break down. Compared to similar devices developed by other companies, which require weeks of sound collecting to predict malfunction, GiGAsound Doctor is cheaper and more efficient because its artificial intelligence (AI) needs less than 100 hours to study patterns using a self-learning method.
GiGAsound Doctor has been tested at data and communication centers from January this year and in factory production lines to see whether the listening device can withstand a harsh industrial environment, KT said, adding its device would be a key item in the 5G smart factory market.
Various technologies and devices are used at smart factories where almost every production process is automated. Malfunction prevention systems can save money and time in smart factories because replacing parts that could break down costs a lot cheaper and a lot less time than fixing a broken down production line.
LGU+, a South Korean mobile carrier, introduced a factory monitoring system at the World Mobile Congress held in Barcelona in February this year, using robots fitted with various sensors and cameras to take pictures of products to find defects.
reporter
Park Sae-jin
swatchsjp@ajunews.com
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