BEIJING: Unlike conventional remote-sensing satellites that send raw data back to Earth for processing, the two satellites can analyze data directly in orbit.
Each satellite has onboard AI computing capability of up to 400 TOPS, or 400 trillion AI operations per second.
“A high-performance laptop has about 20 to 30 TOPS of computing power. That means a single hyperspectral AI satellite has computing power equivalent to 20 to 30 high-performance laptops,” said Song Bingchen, Star.ai’s co-founder. “With an onboard ‘brain,’ we can process the data in space and transmit results instead of images,” he added.
“Each satellite can generate tens to hundreds of gigabytes of imaging data per day,” said Peng Feiyu, a Satellite AI Algorithm Engineer. “It can process 15 seconds of imagery in orbit within just 10 to 15 minutes, and transmit only the analyzed results to the ground.
The downlinked data is reduced to just tens of kilobytes or tens of megabytes.” Unlike conventional remote-sensing satellites that send raw data back to Earth for processing, the two satellites can analyze data directly in orbit.
Each satellite has onboard AI computing capability of up to 400 TOPS, or 400 trillion AI operations per second.
“A high-performance laptop has about 20 to 30 TOPS of computing power. That means a single hyperspectral AI satellite has computing power equivalent to 20 to 30 high-performance laptops,” said Song Bingchen, Star.ai’s co-founder.
“With an onboard ‘brain,’ we can process the data in space and transmit results instead of images,” he added.
“Each satellite can generate tens to hundreds of gigabytes of imaging data per day,” said Peng Feiyu, a Satellite AI Algorithm Engineer.
“It can process 15 seconds of imagery in orbit within just 10 to 15 minutes, and transmit only the analyzed results to the ground. The downlinked data is reduced to just tens of kilobytes or tens of megabytes.” –The Daily Mail-CGTN news exchange item
