DragonFly DE-1 Laser Defense Turret
Project Overview
The DragonFly DE-1 is an autonomous laser defense turret system combining computer vision, multi-agent reinforcement learning, and precision targeting. The project features both PyBullet simulation and real-world hardware deployment capabilities.
The system uses coordinated turrets to detect, track, and engage aerial targets with 405nm UV lasers, trained through adversarial learning algorithms for optimal performance against evasive targets.
Project Progress
Hardware assembly in progress - electronics integration pending
CAD model of the turret mechanism with pan & tilt capabilities
Technical Details
Hardware Components
- 3D printed pan & tilt turret mechanism
- High-torque digital servos with metal gears
- OpenMV camera module with specialized firmware
- 405nm UV laser diode (5mW)
- Servo control PCB and drivers (pending integration)
- Arduino-compatible microcontroller
Performance Specifications
- Pan range: 360° continuous rotation
- Tilt range: -30° to +90°
- Targeting precision: ±0.5° at 10m
- Detection range: Up to 50m for standard targets
- Target acquisition time: <500ms
- Classification accuracy: >95%
Software Stack
- PyBullet physics simulation environment
- Multi-agent PPO reinforcement learning
- Computer vision with OpenCV
- Real-time target tracking and prediction
- Adversarial training for evasion countermeasures
- Hardware abstraction layer for real-world deployment
Key Features
Multi-Agent Coordination
Multiple turrets coordinate using centralized critic with decentralized execution, enabling efficient coverage and target prioritization.
Adversarial Training
The system implements adversarial learning where turrets train against increasingly sophisticated evasive targets, improving real-world performance.
Simulation-to-Reality Transfer
Comprehensive simulation environment with physics-accurate modeling enables reliable transfer of trained policies to physical hardware.