> Markdown version of [/videos/1527-how-mixed-reality-azure-ai-and-drones-turned-me-into-a-magician?t=938](https://www.wearedevelopers.com/videos/1527-how-mixed-reality-azure-ai-and-drones-turned-me-into-a-magician?t=938). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

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# How Mixed Reality, Azure AI and Drones turned me into a Magician?

Turn code into magic. Learn to fuse Azure AI, Unity, and mixed reality to control real-world drones with your bare hands.

- **Speakers:** [Zaid Zaim](https://www.wearedevelopers.com/@zaid-zaim)
- **Event:** World Congress 2025
- **Published:** August 20, 2025
- **Duration:** 35:26
- **URL:** https://www.wearedevelopers.com/videos/1527-how-mixed-reality-azure-ai-and-drones-turned-me-into-a-magician

## Summary

The fusion of mixed reality, generative AI, and physical hardware represents a massive shift in how developers can build immersive, "magical" experiences. By combining Azure AI Foundry, Meta Quest 3, and the Unity game engine, developers can move beyond traditional 2D interfaces to create spatial applications where natural gestures and conversational AI dictate environmental controls. This architecture relies heavily on bridging complex hardware APIs with modern spatial computing frameworks to build interactive, multimodal systems.

At the core of this integration is the creation of spatial AI assistants. Using Azure AI Foundry as a centralized hub to quickly deploy, test, and manage large language models like GPT-4o, developers can connect AI endpoints directly to Unity using C#. An immersive VR assistant demonstrates advanced capabilities such as spatial awareness, computer vision to read real-world environments, and AI function calling—where conversational commands dynamically spawn and manipulate 3D objects, like applying gravity to virtual cubes. Relying on an expansive model catalog allows engineers to easily swap and scale models based on application needs without being locked into a single provider.

Translating virtual interactions into physical hardware movements introduces complex networking and spatial mathematics. By using GitHub Copilot to navigate heavy 3D math and draft UDP communication protocols, developers can map headset-tracked hand gestures to control a DJI Tello drone in real-time. Overcoming the inherent networking challenges—such as balancing local Wi-Fi casting alongside direct drone connections—demonstrates how merging spatial tracking, centralized AI model management, and physical APIs empowers developers to build futuristic, highly interactive applications.

**Keywords:** azure AI foundry, mixed reality development, meta quest 3 hand tracking, unity C# scripting, AI function calling, spatial computing integration, github copilot for 3D math, UDP drone control, multimodal VR assistants, generative AI endpoints, virtual reality SDK, hardware API integration, tello drone programming

## Chapters

1. **Integrating mixed reality and drones with generative AI** (00:06) — Combining immersive virtual environments with external hardware creates magical interactive developer experiences.
1. **Centralizing generative AI assets using Azure AI Foundry** (05:49) — An all-in-one platform provides developers immediate access to models and tools for building intelligent applications.
1. **Prototyping conversational AI models within the chat playground** (07:28) — Deploying and testing language models locally accelerates the integration of chat capabilities into applications.
1. **Developing immersive AI assistants using the Unity engine** (11:44) — Utilizing the Meta SDK and custom scripts enables natural interactions like voice and vision in virtual reality.
1. **Controlling hardware drones through VR hand tracking systems** (15:38) — Mapping virtual hand gestures to UDP network commands allows developers to pilot physical drones without analog controllers.
1. **Demonstrating an interactive VR AI assistant in real-time** (18:49) — Live interactions with a virtual assistant highlight conversational context, computer vision, and dynamic scene manipulation.
1. **Piloting a physical drone using virtual hand gestures** (31:17) — Executing custom gestures in a virtual environment sends real-time network commands to navigate a physical drone.

## Related Moments

- [Introduction to coding hardware with mixed reality](https://www.wearedevelopers.com/videos/702-reality-and-beyond-coding-a-drone-using-unity-3d-net-and-chatgpt-ai) (from "Reality and Beyond: Coding a Drone Using {Unity 3D .NET} and ChatGPT AI!")
- [Role of immersive technologies in AI copilots](https://www.wearedevelopers.com/videos/1204-coding-an-immersive-copilot-using-unity-net-and-azure-openai) (from "Coding an Immersive Copilot using Unity / .NET and Azure OpenAI!")
- [Demonstrating holographic artificial intelligence copilot live interactions](https://www.wearedevelopers.com/videos/1204-coding-an-immersive-copilot-using-unity-net-and-azure-openai) (from "Coding an Immersive Copilot using Unity / .NET and Azure OpenAI!")
- [Live mixed reality flight execution and control](https://www.wearedevelopers.com/videos/702-reality-and-beyond-coding-a-drone-using-unity-3d-net-and-chatgpt-ai) (from "Reality and Beyond: Coding a Drone Using {Unity 3D .NET} and ChatGPT AI!")
- [Driving developer productivity with AI in automotive tech](https://www.wearedevelopers.com/videos/916-beyond-the-hype-real-world-ai-strategies-panel) (from "Beyond the Hype: Real-World AI Strategies Panel")
- [Development tools for spatial computing and drones](https://www.wearedevelopers.com/videos/702-reality-and-beyond-coding-a-drone-using-unity-3d-net-and-chatgpt-ai) (from "Reality and Beyond: Coding a Drone Using {Unity 3D .NET} and ChatGPT AI!")

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