This video demonstrates how Convai's Unity plugin enables AI characters in XR environments to perceive their surroundings through real-time vision, understand multimodal context, and respond with long-term memory, allowing characters to identify objects like power tools and provide grounded guidance based on what users are holding, all built on WebRTC for low-latency voice conversation.
Deep Dive
Prerequisite Knowledge
- No data available.
Where to go next
- No data available.
Deep Dive
Build Vision AI Characters in Unity XR | Real-Time Vision, Memory and WebRTC for MetaQuestAdded:
Real-time vision.
Multimodal knowledge.
Long-term memory.
Your AI characters in XR can now see and understand their world as it happens.
Conveys new Unity plugin brings all three together in one integration. Built on WebRTC for low-latency conversation, so characters don't just respond to voice, they respond [music] to context.
Import the package, add your API key, drop in your character ID, a few minutes in Unity and you're ready to build. Here it is running on Meta Quest 3. The character spots a power tool in the room, identifies what the user is holding, and gives specific grounded guidance >> [music] >> live.
Full setup tutorial in the description.
Build and deploy to Meta Quest in one session.
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