Novel Imaging Technologies for Optimized Lunar Surface Navigation

Alphacore, Inc proposes a novel imaging technology tailored for lunar applications, focusing on optimizing motion imagery under extreme environmental constraints. Our solution addresses bandwidth limitations, harsh lighting conditions, radiation exposure, and thermal fluctuations by integrating advanced adaptive compression, AI-driven automated camera control, and low-SWaP modular imaging systems. The key objectives include ensuring high-resolution video transmission within limited bandwidth, utilizing AI for autonomous adjustments, and creating resilient hardware solutions capable of enduring harsh lunar conditions. Our proposed introduces AI-driven automation that dynamically optimizes imaging parameters in response to environmental changes. Additionally, our adaptive compression algorithms enable efficient data transmission within NASA’s constrained lunar communication infrastructure, ensuring that high-definition motion imagery can be streamed in real time without excessive bandwidth consumption. By developing a scalable, low-SWaP imaging solution, our technology aligns with NASA’s goals of reducing payload size and weight while maximizing performance. The integration of multi-modal sensor fusion enhances navigation, hazard detection, and terrain mapping, making our imaging system a key enabler for both robotic and human missions. Leveraging radiation-hardened FPGA technology combined with advanced event-based and intensity sensors and adaptive algorithms, our system aims to significantly reduce risks associated with navigation inaccuracies, this capability extends beyond NASA's immediate exploration efforts and into potential collaborations with commercial lunar payload services and defense applications. Our solution supports NASA’s strategic objective of inspiring future generations through visually compelling, scientifically meaningful lunar content, and contributes to the broader vision of sustained human presence on the Moon and beyond.