Overview

MMEngine is designed as an efficient, next-generation multimodal data acquisition engine. Built with a blueprint node architecture, it provides an intuitive and user-friendly interaction experience for complex data processing workflows. The system enables seamless integration of multiple data sources with real-time processing and visualization capabilities.

Core Features

Blueprint Node Design

• Visual Programming: Drag-and-drop node-based workflow creation
• Modular Architecture: Reusable processing blocks for different data types
• Real-time Connection: Live data flow between nodes with instant feedback
• User-Friendly Interface: Intuitive design accessible to both beginners and experts

Multimodal Data Support

• Leap Motion Integration: ✅ Complete data acquisition and visualization
• Radar Data Nodes: 🚧 Under development for mmWave radar integration
• Extensible Framework: Support for additional sensor types and data sources
• Synchronized Processing: Multi-sensor data fusion with timestamp alignment

Advanced Processing Capabilities

• Deep Learning Nodes: Pre-built neural network modules for real-time inference
• Signal Processing: JSON-configurable processing nodes for custom algorithms
• Real-time Visualization: Live data streaming and interactive displays
• Synchronized Annotation: Multi-modal data labeling and ground truth generation

Technical Architecture

Node System

• Data Acquisition Nodes: Sensor input interfaces (Leap Motion, Radar, etc.)
• Processing Nodes: Signal processing, filtering, and transformation
• ML Inference Nodes: Real-time deep learning model execution
• Visualization Nodes: Real-time plotting and data display
• Export Nodes: Data saving and format conversion

Configuration System

• JSON-Based: Flexible node parameter configuration
• Hot-Reload: Runtime parameter updates without restart
• Template Library: Pre-configured node templates for common tasks
• Custom Nodes: User-defined processing blocks

Current Implementation Status

✅ Completed Features

• Leap Motion Module: Full data acquisition and visualization pipeline
• Blueprint Editor: Visual node connection and workflow design
• Real-time Processing: Low-latency data streaming architecture
• Basic Visualization: Multi-dimensional data plotting capabilities

🚧 In Development

• Radar Data Nodes: mmWave radar integration and processing
• Advanced ML Nodes: Extended deep learning model support
• Annotation Tools: Enhanced labeling and ground truth features
• Performance Optimization: GPU acceleration and memory management

🔮 Planned Features

• Multi-Sensor Fusion: Advanced sensor data synchronization
• Cloud Integration: Remote processing and data storage
• Plugin System: Third-party node development framework
• Collaborative Tools: Multi-user annotation and workflow sharing

Key Advantages

Ease of Use

• No Coding Required: Visual programming eliminates complex scripting
• Rapid Prototyping: Quick workflow creation and testing
• Real-time Feedback: Instant visualization of processing results
• Flexible Configuration: Easy parameter adjustment through GUI

Performance & Scalability

• Efficient Processing: Optimized data pipelines for real-time operation
• Modular Design: Scalable architecture for complex workflows
• Resource Management: Intelligent memory and CPU utilization
• Cross-Platform: Compatible with Windows, Linux, and macOS

MMEngine represents the future of multimodal data processing, making advanced sensor fusion and machine learning accessible through an intuitive visual interface.