Waldo Vision Engine (waldo_vision)

waldo_vision is a multi-layered computer vision engine built from scratch in pure Rust. It is designed to detect, track, and analyze significant events in real-time video streams, acting as a high-performance pre-filter to more expensive AI analysis systems.

This crate was specifically designed to serve as the vision capability filter for the Corpus AI Companion project.

Key Features

• Temporal Analysis: Uses a multi-channel statistical model to learn "normal" environmental behavior and detect anomalous changes.
• Spatial Grouping: Implements a "Heatmap Peak-Finding and Region Growing" algorithm to identify coherent objects in motion.
• Behavioral Analysis: Includes a robust object tracker that adds object permanence, tracking events over time to form complete "Moments."
• High-Level API: Provides a simple, powerful VisionPipeline API for easy integration.
• Tunable: All key sensitivity thresholds are exposed in a PipelineConfig struct.

Integration

For detailed instructions on how to integrate this crate into your project, please see the INTEGRATION_GUIDE.md.

License

This project is licensed under the MIT License.