Low Earth Orbit (LEO) satellites have been used for a wide range of applications, including remote sensing, navigation, and communication. However, with the advent of Edge Artificial Intelligence (AI), there has been an increasing interest in using LEO satellites for AI-based applications.

The main benefits of Edge AI on LEO Satellites:

Faster Decision Making: One of the key benefits of Edge AI on LEO satellites is the ability to make faster decisions. By processing data on the satellite itself, instead of transmitting the data to the ground station for processing, Edge AI can make decisions in real-time. This is particularly important for applications that require quick responses, such as disaster response, where time is of the essence.

Reduced Data Transmission: Another benefit of Edge AI on LEO satellites is reduced data transmission. By processing data on the satellite, only the relevant information needs to be transmitted to the ground station, rather than transmitting all the raw data. This reduces the amount of data that needs to be transmitted, which can save time and reduce costs.

Improved Security: Edge AI on LEO satellites can also improve security. By processing data on the satellite itself, sensitive information can be kept on the satellite, rather than being transmitted to the ground station. This can reduce the risk of data breaches and improve overall security.

Increased Autonomy: Edge AI on LEO satellites can also increase autonomy. By processing data on the satellite, the satellite can make decisions independently of ground control. This can be particularly useful for applications that require continuous monitoring, such as environmental monitoring or surveillance.

Example of applications of Edge AI on LEO Satellites:

Disaster Response: Edge AI on LEO satellites can be used for disaster response. By using satellite data to identify areas that have been affected by a disaster, Edge AI can quickly identify the areas that need assistance. This can help first responders to prioritize their efforts and provide assistance to those who need it most.

Environmental Monitoring: Edge AI on LEO satellites can also be used for environmental monitoring. By using satellite data to monitor changes in the environment, such as changes in land use or changes in water levels, Edge AI can provide early warning of environmental problems. This can help to prevent environmental disasters and protect the environment.

Agriculture: Edge AI on LEO satellites can also be used for agriculture. By using satellite data to monitor crop growth, soil moisture levels, and weather patterns, Edge AI can help farmers to make more informed decisions about crop management. This can improve crop yields, reduce water usage, and increase the efficiency of farming operations.

Surveillance: Edge AI on LEO satellites can also be used for surveillance. By using satellite data to monitor areas of interest, Edge AI can provide real-time information about potential threats. This can be useful for law enforcement, military, and security applications.

Edge AI on LEO satellites has the potential to revolutionize the way we use satellites. By processing data on the satellite itself, Edge AI can make faster decisions, reduce data transmission, improve security, and increase autonomy. This can enable a wide range of applications, including disaster response, environmental monitoring, agriculture, and surveillance. As Edge AI technology continues to advance, we can expect to see even more applications of Edge AI on LEO satellites in the future.

Our partner Aitech Systems has introduced the S-A1760 VenusTM Radiation-characterized Space AI GPGPU.

Designed for short duration spaceflight, NEO and LEO satellites applications, the S-A1760 VenusTM is the smallest, most powerful space-rated Rugged-GPGPU small form factor (SFF) system, ideally suited for AI, video and signal processing in distributed systems.

The S-A1760 VenusTM uses the NVIDIA® JetsonTM TX2i SoM with 256 CUDA cores, reaching 1 TFLOPS at a remarkable energy efficiency. It supports a total ionizing dose of 1.05 kRad (Si) making it ideal for LEO space patforms.