Depth AI Introduction

In the spatial AI context, Depth AI works by combining stereo cameras with neural networks to provide real-time depth perception and object detection capabilities. It utilizes the DepthAI pipeline and pre-trained models to process visual data and create 3D spatial awareness. For codebase analysis, Depth AI constructs detailed knowledge graphs of repositories, employing advanced machine learning techniques to understand code relationships and semantic patterns. It processes this information through multiple layers, including code graph understanding, abstract reasoning, and latent space interactions, to provide accurate technical insights and answers to complex queries. The system can be integrated into various workflows through APIs and deployed across different platforms like Slack, GitHub, and Jira.