Garuda's Grand Gaze
![Image](https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhpujdE0NUn1_4air9FMjoiF3s9LbsdwGL1-12MB5ZTCDagpzimSBmUMM-d1NfPEbIdtT-_4Olnn_lUdCdPVQXs9lCy8uOK1AwI9RE-dnJueOwjJEopxzEHJ19UH75Qi8y6Lw13w84h-Sdh9CXi6FjJYI_wJ_St6t0mASaqkZw0UUB4WrBBmfdxHeNlGA8/s320/WhatsApp%20Image%202024-05-25%20at%2016.22.22_2a7d53af.jpg)
Our conversations over the payload vision for our rocket AgniAstra began on March 28th, 2023. A culmination of years of consuming knowledge and a hunger to now apply it, Garuda was born. The idea was simple, well it still is. How can we use cameras onboard high-speed aircraft and make them intelligent with Computer Vision and Deep Learning to perform something useful in real-time and in situ, using nothing except what the camera sees? How hard could it be, right? It seemed like an exciting challenge at the outset and a year later we have the answer: Chapter 1: The dimensions are what? iterating the platform The challenge truly began when we recognized the stringent dimensional constraints we had to navigate. Designing for the 30K category is a completely different endeavor compared to the 10K category, something we anticipated from our previous years with thrustMIT. Specifically, the Nosecone CanSat structure required us to fit everything within a 9cm diameter and a 30cm length.