IronEyeIronEye
🛰️ Real-time EO/IR Fusion

Advanced EO/IR Detection Platform

Leveraging lightweight fusion of RGB and IR streams for superior object classification on edge devices. Real-time insights from dual-camera systems.

Live Detection Dashboard

Active
VEHICLE
98.7%
High confidence
PERSON
94.2%
High confidence
OBJECT
87.5%
Good confidence
FPS
30
RGB + IR Fusion

Our Detection Process Explained

Follow the journey of your data from input to actionable insights through our streamlined YOLO detection pipeline.

Video Input & Preprocessing

Connect live video streams or upload video files. Frames are captured and preprocessed for optimal model performance.

YOLO Model Inference

The selected YOLO model processes each frame, performing rapid inference to locate and classify objects.

Object Detection & Classification

Bounding boxes are drawn around detected objects, and each is classified with a confidence score.

Tracking & Data Association

Objects are tracked across frames, maintaining unique IDs for continuous monitoring and analysis.

Analytics & Visualization

Detection data is aggregated and displayed on dashboards, showing object counts, trends, and performance metrics.

Logging & Alerts

All detection events are logged for auditing and review. Customizable alerts notify users of critical detections.

PlantPatrol Real-time Pest Detection System Architecture

How Our EO/IR System Works

From synchronized data ingestion to lightweight fusion and real-time analysis, see how our platform delivers superior object detection on edge devices.

Dual-Stream Data Ingestion

Our system establishes a synchronized, real-time video feed from EO/IR cameras, capturing both RGB and IR modalities simultaneously for comprehensive data collection.

Dual video stream processing with RGB and IR feeds

Lightweight Edge-Enhanced Fusion

We apply edge detection to the RGB stream and perform a lightweight fusion onto the IR feed. This enhances object contrast and detail, preparing the data for accurate classification with a single input.

Visualization of edge detection and fusion process

Real-time Analytics Dashboard

Monitor the entire system through a live dashboard. View dual video streams, object detection overlays, performance metrics, and classification results, all in one place.

Dashboard displaying EO/IR analytics and performance metrics

Real-time Chat with MCP Controlled Simulation Streaming

Chat interface with MCP controlled simulation streaming.

Chat interface with MCP controlled simulation streaming
Features

Core Capabilities of the EO/IR Platform

Explore the advanced features that power our EO/IR system, from dual-stream fusion to real-time analytics and monitoring.

Dual Stream Processing

Synchronized real-time processing of RGB and IR video feeds from EO/IR cameras.

Edge-Enhanced Fusion

Lightweight fusion of RGB edge details onto IR stream for improved object contrast.

YOLOv8 Classification

High-performance object detection and classification using the latest YOLO model.

Live Dashboard

Comprehensive dashboard with dual video streams, detection overlays, and system metrics.

Performance Monitoring

Track inference speed, data throughput, and other key performance indicators in real-time.

Data & History

Store and review detection metadata, object tracking history, and performance logs.

Get Started with EO/IR Analysis

Dive into your EO/IR data with our powerful dashboard or get instant insights from our AI assistant. Start making sense of your dual-stream video feeds today.

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