Bill Gates Backs Plan to Surveil the Entire Planet From Space
TDC Note – I was thinking earlier today – gee, it would be really great if someone could figure out how to surveil us in a new and exciting way – and this article just happened to come online!! You can imagine how excited I was to learn the King of Vaccines, Bill Gates, is all about this technology. What would really be great is if Uncle Bill could figure out a way to not only surveil us from space but to vaccinate everyone at the same time!!! Win-win for humanity!! /sarc.
EarthNow is a new company looking to provide satellite imagery and live video in virtually real-time. Its unsettling pitch describes a network of satellites that can see any corner of the globe and provide live video with a latency of about a second. And a look at the startup’s top investors gives a lot of confidence that this thing is happening.
On Wednesday, EarthNow announced that it will emerge from the Intellectual Ventures ISF Incubator to become a full-scale commercial business. Its first round of investors is comprised of a small group of complimentary powerhouses: AirBus, the SoftBank Group, Bill Gates, and satellite-industry vet Greg Wyler.
The amount of the initial investment hasn’t been disclosed, but the announcement says the funding “focuses primarily on maturing the overall system design to deliver innovative and unique real-time Earth observation services.” That makes it sound like the company is in its very early stages, but don’t be so sure. Wyler’s OneWeb has already deployed highly advanced satellites with a blazing fast 130ms latency and its goal is to have a constellation of hundreds of satellites beaming broadband around the globe by 2020.
EarthNow will use an upgraded version of OneWeb’s technology with a lot of hardware power packed into a 500-pound unit. “Each satellite is equipped with an unprecedented amount of onboard processing power, including more CPU cores than all other commercial satellites combined,” the announcement says. The satellites will also do an onboard analysis of the live imagery using machine learning, but the company doesn’t go into detail about what it will analyze or why it would be necessary to dedicate that processing onboard.