Architecture & Core Objectives
Functional Description
Our autonomous software platform is built on a scalable, high-precision architecture designed to handle real-time geospatial processing and AI-driven mission planning. By integrating advanced deep learning models with edge computing capabilities, we enable enterprise-grade performance for mission-critical airborne operations.
Operational Workflow
1. Collaborative Aircraft Management
Unified Fleet Coordination Across Every Mission
Modern autonomous operations often involve multiple aircraft platforms operating simultaneously across diverse environments. Managing different flight controllers, telemetry protocols, communication channels, and mission objectives individually increases operational complexity and reduces mission efficiency.
GALAKSI Pratama Solusi addresses this challenge through a Collaborative Aircraft Management platform that unifies heterogeneous unmanned aircraft into a single operational ecosystem. Regardless of manufacturer or autopilot architecture, operators gain complete visibility and centralized control over every connected aircraft from one command interface.
The platform continuously aggregates telemetry data, standardizes aircraft health metrics, and synchronizes mission execution across multiple UAVs while maintaining interoperability with existing operational infrastructures.
Key Functionalities
- Centralized Multi-Platform Fleet Management
Manage aircraft from DJI, PX4, ArduPilot, Blue sUAS, and other compatible systems within a unified operational dashboard.
Telemetry Normalization
Convert heterogeneous SDK outputs into standardized operational metrics including battery status, GPS quality, communication health, payload status, and flight diagnostics.
Collaborative Swarm Operations
Automatically distribute mission objectives across multiple UAVs while dynamically balancing aircraft availability, mission priority, and operational constraints.
Airspace Integration
Integrate with Unmanned Traffic Management (UTM) services to automate flight authorization, airspace coordination, geofencing, and No-Fly Zone compliance.
Mission Health Monitoring
Continuously monitor aircraft connectivity, battery condition, signal integrity, payload readiness, and mission progress in real time.
Mission Optimization
Intelligent Scheduling
Automate mission prioritization based on real-time environmental data and asset availability. The scheduling engine calculates optimal launch windows, battery cycling, and maintenance intervals to ensure 99.9% operational readiness. Adaptive algorithms recalculate flight paths on-the-fly to account for changing weather or shifting strategic priorities.
Key Functionalities
- Dynamic Window Optimization
- Battery & Asset Health Forecasting
- Priority-Based Mission Queueing
- Weather-Aware Flight Pathing
Geospatial Intelligence
3D Spatial Data Management & Services
Transform raw sensor data into actionable digital twins. Our spatial engine processes LiDAR, photogrammetry, and multispectral inputs to generate high-fidelity 3D models and terrain maps. Integrated cloud services enable secure data sharing, longitudinal comparisons for infrastructure monitoring, and automated change detection across large-scale assets.
Key Functionalities
- LiDAR & Point Cloud Fusion
- Automated Digital Twin Generation
- Historical Data Comparison
- Secure Cloud Geospatial API
Edge AI Recognition
Target Inspection & Autonomous Follow
Empower aircraft with native intelligence for complex observation missions. Utilizing edge computing, the system identifies, classifies, and tracks specific assets or anomalies without operator intervention. Advanced target-lock algorithms maintain optimal sensor profiles even in high-clutter environments, ensuring consistent data capture for critical inspections.
Key Functionalities
- On-board Target Classification
- Persistent AI Target Scaling
- Precision Orbit & Follow Protocols
- Automated Defect Identification
1. Collaborative Aircraft Management
Unified Fleet Coordination Across Every Mission
Modern autonomous operations often involve multiple aircraft platforms operating simultaneously across diverse environments. Managing different flight controllers, telemetry protocols, communication channels, and mission objectives individually increases operational complexity and reduces mission efficiency.
GALAKSI Pratama Solusi addresses this challenge through a Collaborative Aircraft Management platform that unifies heterogeneous unmanned aircraft into a single operational ecosystem. Regardless of manufacturer or autopilot architecture, operators gain complete visibility and centralized control over every connected aircraft from one command interface.
The platform continuously aggregates telemetry data, standardizes aircraft health metrics, and synchronizes mission execution across multiple UAVs while maintaining interoperability with existing operational infrastructures.
Autonomous Navigation
Advanced SLAM algorithms and obstacle avoidance protocols for unmapped environments.
Key Functionalities
Centralized Multi-Platform Fleet Management
Manage aircraft from DJI, PX4, ArduPilot, Blue sUAS, and other compatible systems within a unified operational dashboard.
Telemetry Normalization
Convert heterogeneous SDK outputs into standardized operational metrics including battery status, GPS quality, communication health, payload status, and flight diagnostics.
Collaborative Swarm Operations
Automatically distribute mission objectives across multiple UAVs while dynamically balancing aircraft availability, mission priority, and operational constraints.
Airspace Integration
Integrate with Unmanned Traffic Management (UTM) services to automate flight authorization, airspace coordination, geofencing, and No-Fly Zone compliance.
Mission Health Monitoring
Continuously monitor aircraft connectivity, battery condition, signal integrity, payload readiness, and mission progress in real time.
Enterprise Integration
Seamless connection to existing ERP and flight management systems via robust RESTful APIs.
Cybersecurity Protocol
Military-grade encryption for all data-in-transit and hardware-level secure boot verification.
Diagnostic Logging
Comprehensive black-box recording of all system states and network traffic for post-flight analysis.
System Specifications
Reliability
Data Security
Performance
Compliance
99.9% Operational Uptime
AES-256 Enterprise Encryption
Real-time AI Inference < 50ms
ISO 27001 & SOC Type II Certified
