SCANNING...
UNKNOWN
INT: 99.8%
PROJECT: AEROTWIN STATUS: SECURE CONNECTION SYSTEM: NOMINAL
Built by TechNest Team • Amman Arab University

AeroTwin XR

Integrated Training Ecosystem for Aviation Maintenance Engineers

Virtual Reality
Digital Twin
Artificial Intelligence
Web Analytics
INITIATE SEQUENCE
02 // THE ENGINEERING GAP

THE ENGINEERING GAP

"They see, but don't touch.
They observe, but don't explore."
0
Aviation Maintenance Technicians needed globally
Boeing 2025 Pilot & Technician Outlook — Next 20 years
MIDDLE EAST = FASTEST-GROWING REGION
01

Cost-Prohibitive

A real training engine costs millions of $

→ Virtual Reality

Digital parts, no damage

02

Zero Error Tol.

Mistakes can cost lives

→ Digital Twin

Accurate replica

03

Op. Constraints

Permits, limited time

→ AI Dashboard

Smart instructor 24/7

03 // SYSTEM ARCHITECTURE

FOUR LAYERS.

ONE ECOSYSTEM.

01 → Virtual Reality Training Environment
02 → Digital Twin Robot
03 → AI Layer
04 → Web-based Learning Analytics

"Each layer feeds the next."

LAYER 1 // VIRTUAL REALITY

IMMERSIVE

TRAINING

Step into a fully simulated aviation hangar. Disassemble, reassemble, and respond to emergencies — with zero real-world risk.
PlatformMeta Quest 2 EngineUnity 3D + URP ToolkitXR Interaction Toolkit
FUNCTIONAL FIDELITY
Behavior over Appearance
⚖️ Mass 🎯 Center of Mass 🔄 Moment of Inertia
TRAINING SCENARIOS
› Safety Response — Emergency Landing + Engine Fire
› Component Inspection
› Engine Diagnostics
LAYER 02 • DIGITAL TWIN ROBOT
Manufacturable. Validated. Pre-Hardware.

01: MECANUM WHEELS

360° omnidirectional motion • Tight hangar navigation

02: SCISSOR LIFT

Vertical reach 0-2.4m • Access to elevated components

03: RPLIDAR A1

360° environmental scanning • 12m range

04: NVIDIA JETSON NANO

128-core Maxwell GPU • On-board AI inference

05: INTEL REALSENSE D435I

Depth perception • IMU-stabilized stereo vision

06: ARDUINO MEGA

Motor + sensor low-level control • Real-time PWM signaling

01 • PHYSICAL TESTING

CENTER OF MASS • JOINT RESPONSE

02 • SENSOR SIM & SLAM

RAYCASTING LIDAR • SLAM MAPPING

03 • SYNTHETIC DATA

UNITY PERCEPTION • CV TRAINING

LAYER 3 // ARTIFICIAL INTELLIGENCE

THREE

ALGORITHMS

Each solving a different engineering problem.

ALGORITHM 01 — COMPUTER VISION
Component Detection + Classification Bounding Boxes + Confidence Scores YOLO-equivalent pipeline 💡 Future: Defect Detection (cracks, rust)
ALGORITHM 02 — PREDICTIVE MAINTENANCE

Random Forest Classifier • Trained on Kaggle dataset (10,000 samples)

N1 RPM
Fan speed
EGT
Exhaust Temp
Fuel Flow
Consumption rate
EPR
Pressure Ratio
Vibration
Mechanical anomalies
"Predicts failures BEFORE they happen — not after."
ALGORITHM 03 — CONVERSATIONAL AI

RAG-powered aviation knowledge assistant ↓ See next slide

LIVE DEMO
LAYER 3.5 // AI ASSISTANT

YOUR AI

INSTRUCTOR

🔒 SYSTEM MODE
Aviation-restricted
RAG on AMM Manual
~2,000 pages
🌐 CONTEXT MODE
Open like Gemini
GPT + Gemini APIs
General queries
🎯 Next Step
🛡 Safety
📊 Analytics
📤 Send to Doctor
🎙 Voice Input
🤖 Ask Robot
⭐ KNOWLEDGE SOURCE
Official Aircraft Maintenance Manual
~2,000 pages — Not random internet data.
✓ WORKS FULLY OFFLINE — RAG-powered semantic search
LAYER 4 // LIVE OPERATIONS CENTER

LIVE

OPERATIONS CENTER

aerotwin.onrender.com
🎓 FOR THE STUDENT
✗ Doesn't know where they go wrong
✗ No formal progress documentation
✓ Active Logger — every action tracked live
✓ Speed • Accuracy • Safety analysis
👨‍🏫 FOR THE INSTRUCTOR
✗ Can't monitor every student
✗ Hard to detect patterns manually
✓ Live Remote Monitoring
✓ Auto-Generated PDF Reports
ACTIVE LOGGER TRACKS
15 Components Task Progress Speed vs Average AI Inquiries Activity Timeline
IMPACT // SDG & SCALABILITY

SUSTAINABLE

IMPACT

🎓
SDG 4 — QUALITY EDUCATION
Training without location, time, or cost barriers
💼
SDG 8 — DECENT WORK
710,000 global jobs ahead — we prepare them
🏗
SDG 9 — INNOVATION & INFRASTRUCTURE
Digital infrastructure built by Arab hands
🌍
SDG 13 — CLIMATE ACTION
Zero fuel burn vs real engine training
SCALABILITY
✈️ More engines, parts & scenarios
⚡ High-voltage electrical sectors
🏭 Any zero-error-tolerance industry
06 // PERFORMANCE

Maximum Thrust Test

Simulating extreme operational conditions. Notice the rotational velocity and heat dissipation mechanics.

CORE RPM 0
EXHAUST TEMP 1,850 °C

FOUR TECHNOLOGIES.
ONE SYSTEM.

Built by TechNest Team