The founders, both Google alumni, aim to transition night vision technology from hardware to software, addressing the limitations of current systems that rely on outdated hardware. Deepnight's approach involves improving how cameras encode light into digital signals, using AI to rectify signal corruption. The company has secured $4.6 million in contracts from the US Army, Air Force, and private sector companies. Deepnight's technology has potential applications beyond military use, including consumer drones, smartphones, and advanced driver assistance systems in cars.
Key takeaways:
- Deepnight raised $5.5 million to develop AI-powered night vision technology, aiming to make military night goggles cheaper and more effective.
- The company's innovation combines low-light cameras with AI image processing, allowing for high-performance digital night vision goggles at a lower cost.
- Deepnight's technology reframes night vision from a hardware problem to a software solution, improving how cameras encode light into digital signals.
- The startup has secured $4.6 million in contracts from the US Army, Air Force, and private sector companies, indicating strong interest in its technology.