Duration 3 days – 21 hrs

 

Overview

 

This intensive 3-day hands-on training program equips participants with the practical skills to use drones, IoT sensors, thermal imaging, predictive AI models, swarm simulations, and generative mission intelligence tools for real-world coastal and perimeter security operations.

 

Using a target location focused environment, the course covers sensor data interpretation, terrain simulation, IoT alert pipelines, drone path optimization, multi-agent swarm simulation, and generative AI for mission planning and after-action reporting.

 

Participants will engage with real datasets (EO/IR/RF/SAR), experiment with drone imagery detection models, simulate infiltration scenarios, integrate IoT sensor fusion systems, and build a full “AI-Enabled Coastal Security System” by Day 3.

 

Objectives

 

Drone & Sensor Intelligence

• Interpret key sensor types used in military and coastal security (EO, IR, RF, AIS, ADS-B, SAR, IoT).
• Perform drone object detection using datasets such as VisDrone.
• Apply thermal AI detection using HIT-UAV-style infrared data.
• Enhance drone imagery using Generative Terrain Simulation (GA-1 to GA-2).

 

IoT Fusion & Early Warning Systems

• Build simple sensor → alert pipelines for outposts.
• Implement IoT sensor fusion combining smart buoys, ground sensors, and AI models.
• Design perimeter or coastal early-warning systems suitable for Philippine terrain.

 

Predictive Modeling & Route Risk Intelligence

• Create risk heatmaps (Kernel Density Estimation).
• Train predictive models to estimate infiltration or route risk patterns.
• Optimize drone flight paths using your Drone Path Optimization Kaggle project.

Generative Mission Intelligence

• Use Generative AI to simulate mission scenarios (GA-3).
• Produce Generative After-Action Reports (GA-4) from mission logs and telemetry.
• Apply generative tools to improve situational awareness & briefings.

 

Robotics & Swarm Systems

• Run multi-agent drone swarm simulations (PettingZoo).
• Apply search, rescue, and area-coverage swarm algorithms.
• Integrate simple rover or PiCam robotics with drones for hybrid operations.

 

Capstone Development

 

Build a fully functional AI-Enabled Coastal Security System integrating:

• Drone AI + Thermal Detection
• IoT Sensor Fusion
• Route Optimization
• Generative Mission Briefing System

 

Learning Outcomes

 

• Interpret EO/IR/RF/AIS/ADS-B/SAR and IoT sensor data for coastal/perimeter security use cases
• Run drone imagery object detection and thermal AI detection using real datasets
• Apply generative terrain/imagery enhancement to improve situational awareness
• Build a basic sensor → alert pipeline and combine inputs using IoT sensor fusion
• Create risk heatmaps and simple predictive models for infiltration/route risk
• Optimize drone flight paths using risk layers and mission constraints
• Simulate mission scenarios using Generative AI for planning and rehearsal
• Generate AI-assisted After-Action Reports (AAR) from mission logs/telemetry
• Execute swarm simulations for search/coverage and evaluate swarm strategies
• Deliver a capstone prototype integrating Drone AI + IoT fusion + route optimization + generative mission briefing/AAR

 

Target Audience 

 

• Defense, Coast Guard, Navy, Air Force, and Army intelligence units
• Disaster Response & Security Teams
• Drone Operations Teams / UAV Pilots
• Surveillance & Monitoring Units
• Geospatial Analysts (GEOINT) & Data Scientists
• Research teams working on UAVs, swarms, or IoT systems
• Technical personnel supporting perimeter or coastal security operations

 

Prerequisites 

• Basic understanding of IT systems or networks

• Experience with drones, security ops, or IoT devices (even minimal)

• Foundational knowledge of Python or willingness to follow guided coding labs

• Background in geospatial analysis, GIS, or satellite/drone imagery

• Familiarity with AI/ML concepts

• Experience with any drone control system (DJI, PX4, ArduPilot)

 

Course Outline 

 

DAY 1 — Sensor Data, Drone Imagery & Foundation Models

 

Module 1: Introduction to Sensor & Drone Intelligence

 

• Overview of multi-sensor systems for military and coastal security
• Military data types:
  • EO (Electro-Optical)
  • IR (Infrared)
  • RF (Radio Frequency)
  • AIS (Ship identification)
  • ADS-B (Aircraft signals)
  • SAR (Synthetic Aperture Radar)
  • IoT ground sensors

 

Module 2: Drone Vision & Thermal AI

 

• Basic Drone Computer Vision
• HIT-UAV thermal detection overview
• Hands-on Lab:
  • VisDrone object detection
  • HIT-UAV thermal detection model
• Interpreting aerial and thermal imagery for security operations

 

Module 3: Generative Terrain & Imagery Models

 

• Generative Terrain Simulation (GA-1)
• Generative Aerial Image Enhancement (GA-2)
• Applying foundation models to improve drone intelligence

 

Module 4: IoT Sensor Awareness for Bases & Outposts

 

• Simple sensor-to-alert pipeline
• Use cases for perimeter and coastal outposts
• Building basic IoT detection systems

 

Module 5: Philippines Geography Case Study

 

• Archipelago coverage challenges
• Cloud and weather constraints in PH operations
• Long-range vs short-range sensor selection
• Terrain & coastal considerations for security deployments

 

DAY 2 — Prediction, Mapping, IoT Fusion & Drone Path Optimization

 

Module 6: Predictive Mapping & Risk Intelligence

 

• Build risk heatmaps using KDE
• Train predictive models for infiltration & route risk
• Terrain and pattern analysis for coastal security

 

Module 7: IoT Sensor Fusion for Coastal Alerts

 

• Smart Buoys + Ground Sensor fusion
• AI-driven event classification
• Architecture of integrated coastal alert systems

 

Module 8: Drone Path Optimization

 

• Overview of UAV route planning challenges
• Integrating topography & risk maps
• Hands-on Project:
  • Drone Path Optimization Kaggle Notebook (your project)

 

Module 9: Generative Mission Intelligence

 

• GA-3: Generative Mission Scenarios
• Simulate “3 infiltration scenarios” using generative models
• Use-case: mission rehearsal & predictive defense planning

 

Module 10: Terrain Integration Tools

 

• Using OpenDroneMap
• Using Google Earth Engine
• PH-specific geospatial layers & coastlines

 

DAY 3 — Swarm Simulation, Robotics, Generative Reports & Capstone

 

Module 11: Multi-Agent Swarm Simulation

 

• Fundamentals of swarm intelligence
• PettingZoo multi-agent drone simulation
• Swarm search & area coverage algorithms

 

Module 12: Drone–Robotics Integration

 

• Robotic Rover/Drone Integration (IR-3)
• Simple rover or PiCam demo
• IoT + drone hybrid robotics workflows for field operations

 

Module 13: Generative After-Action Intelligence

 

• GA-4: Generative After-Action Reports (AAR)
• Convert mission logs → structured summaries
• AI-generated mission briefings & debrief reports

 

Module 14: Capstone Project – AI-Enabled Coastal Security System

 

Participants build a fully integrated operational system:

• Drone AI + thermal detection
• IoT ground sensor network
• Drone route optimization engine
• Sensor fusion alert pipeline
• Generative mission briefing system