Flexible AI model implementation
Sentis allows for standardized AI model implementations such as style transfer and speech recognition. Models can be customized through model weights, layers, and chaining multiple inferences.
High performance on user devices
Sentis leverages the compute power of end-user devices rather than the cloud, which eliminates complex cloud infrastructure, network latency, and recurring inference costs.
用例
Sentis is a framework for importing and running third-party AI models and does not include its own AI models. See our recommended models here.
Object identification
Detect, classify, and segment objects with an in-game or on-device camera.
Style transfer
Add visual effects to a scene with any theme. This allows you to quickly scale content in your project and reduce iteration.
Handwriting detection
Identify handwritten numbers, letters, and symbols for unique gameplay interactions.
Image upscaling
Upscale a low-resolution image or texture in your game to get to production quality, or optimize assets for specific devices.
Speech recognition
Convert live speech to in-game text using a machine learning language model for natural language interactions between players.
Smart NPCs
Automate dialog and create meaningful interactions between players and NPCs without the limitations of manual scripting.
资源
AI-driven gameplay
Learn how running neural network models on end-user devices can activate dynamic, living worlds like never before.
Technical samples
Explore how to enable simple features using Unity Sentis with samples for digit recognition, depth estimation, and creating reactive AI NPCs.
Technical documentation
Dive in with documentation and samples for Unity Sentis, and power up your game with AI.
Community discussion
Join a community of developers building the next generation of AI-powered games and applications.