Moondream opened up an entirely new dimension of possibilities for autonomous understanding and interaction.
Who I Am
I'm Aastha Singh, a Camera Modeling engineer at Qualcomm, where I work at the intersection of imaging, AI, and computational photography.
What I Do
Every day, I push the boundaries of how machines perceive the world, refining imaging pipelines and optimizing vision systems. But my passion goes far beyond my current role—I've worked as an AI Engineer and been curious with the idea of machines that can truly understand their surroundings.
Why Moondream
One of the biggest challenges is finding a model that handles real-time perception without requiring massive compute resources. That search led me to Moondream, a model that provides High Accuracy in Multi-Task Learning striking perfect balance between efficiency and capability.
My Use Case
Moondream provides a single, efficient model that can detect, comprehend, and deeply interpret the world around it. It goes beyond mere captioning — converting raw visual data into actionable knowledge — The outputs from Moondream reflect this richer understanding, often providing structured representations (like a scene graph or context-infused caption) that are directly useful for decision-making in robotics, and thus opened up an entirely new dimension of possibilities for autonomous understanding and interaction.
My Story
My vision for the future is the evolution of generalized intelligence in machines—where perception models go beyond specialized tools to become scalable, adaptable systems that integrate seamlessly across applications, from assistive robotics to autonomous exploration. The future of robotics lies in intelligence that's context-aware, predictive, and limitlessly scalable. I'm excited to keep pushing forward, working with AI models that bring us closer to true machine perception. There's still so much to explore, and I can't wait to see what's next.