
Edge Impulse - rust api guide
Overview
The Edge Impulse Rust library enables developers to seamlessly run Edge Impulse models in Rust projects, offering robust performance, safety, and ergonomics.Installation
To install the Edge Impulse Rust library, add the following dependency to yourCargo.toml
:
Key Features
Model Inference
Effortlessly run.eim
models for:
- Classification
- Object Detection
- Visual Anomaly Detection
Sensor Integration
Native support for:- Camera
- Microphone
Data Ingestion
Directly upload sensor data to Edge Impulse using the built-in Ingestion API.Continuous Classification
Execute models in continuous inference mode for real-time predictions.Quickstart Example
Here’s a simple example to perform classification using an Edge Impulse model:Data Ingestion Example
Use the ingestion feature to upload training data directly:Example Projects
Explore comprehensive examples demonstrating the library’s capabilities:- Basic Classification
- Image Processing
- Video-based Object Detection
- Sensor Data Ingestion
API Quick Links

cratesio package installation
- error – Error types for the Edge Impulse Runner (EimError, etc.)
- inference – Core inference logic (EimModel, model initialization, inference calls)
- ingestion – Data ingestion functionality (Ingestion, uploading files or sensor data)
- types – Common types (BoundingBox, ModelParameters, SensorType, etc.)
Conclusion
The Edge Impulse Rust SDK is a powerful tool for developers looking to leverage machine learning on edge devices. With its focus on performance and safety, it allows you to build efficient applications that can run directly on Linux and macOS systems. The library is designed to be easy to use, with clear examples and comprehensive documentation to help you get started quickly. By combining Rust’s speed and safety with Edge Impulse’s robust ML capabilities, you can create efficient, reliable edge AI applications on Linux and macOS. Check out our Comprehensive API Guide in Section 6 whenever you need deeper insights into the crate’s internals, error handling, or module-level details.Community
Engage with the Edge Impulse Rust community:- GitHub Repository: Contribute, report issues, and collaborate.
- Share your projects: Inspire others by showcasing your Rust-based Edge AI applications.