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  • Satellite Evolution Group

Sidus Space and Maris-Tech announce agreement for AI driven new space ultra HD video system

Sidus Space announced an agreement with Maris-Tech Ltd. to collaborate on developing a system for peripheral photography, recording, transmission, anartificial intelligence for nanosatellites and space tools.

“The collection and transmission of high-quality video and still images is a key component of our emerging, high-margin, data-as-a-service, recurring revenue streams. With the launch of LizzieSat set for the fourth quarter of this year, we are thrilled to work with Maris-Tech to develop an innovative, AI driven, situation-awareness-solution that answers a critical need in the New Space market.” said Carol Craig, Founder and CEO of Sidus Space.

"We are proud and excited to partner with Sidus Space in this innovative project, which positions Maris-Tech’s entry as part of the prestigious international New-Space club. This collaboration will bring Maris-Tech’s pioneering solutions to the forefront of the nanosatellite market,” said Israel Bar, CEO of Maris-Tech.

The international research and development project is supported by the Israel Innovation Authority in cooperation with Space Florida. The collaboration will result in the development of an innovative, state-of-the-art product for the space market through R&D, testing, and evaluation of technology.

Maris-Tech will provide the know-how and core technology and will enable surround Ultra-HD video capture, recording and upload as well as AI acceleration for spacecraft anti-collision, proximity estimation, landing, and other customer defined algorithms.

Sidus Space will provide the infrastructure and expertise to perform the required tests and analysis to validate the ability of the hardware to operate as expected in space, integrate it on a space proven satellite, launch it into space, and manage its operation. The comprehensive platform will allow cameras in space to take and transmit high-quality video and still images and implement AI algorithms at the edge in real-time.


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