Laser-Activated Clear Air Turbulence Detector

SensAir

Pete Conrad Scholar 2025  ·  Top Prize · 4,000+ students · 50+ countries
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Recognition

Award-Winning Innovation

Recognised on the world stage for breakthrough aviation safety technology.

4,000+
Students Competed
50+
Countries
#1
Aerospace & Aviation
1
US Provisional Patent
🏆
Pete Conrad Scholar
Conrad Challenge 2025 · Space Center Houston
Top prize in Aerospace & Aviation at the world's premier student innovation challenge, competing against 4,000+ students across 50+ countries. Named after NASA astronaut Pete Conrad.
🥈
Commendation Award
Tan Kah Kee Young Inventors' Award 2025
Singapore's most prestigious young inventors recognition programme, celebrating outstanding student-led technological innovation with real-world impact.
💡
Grant & Mentoring
Ingenuity Venture Fund · 1517 Fund Medici Project
Selected for funding and expert mentoring by two of the most respected early-stage innovation programmes backing exceptional student inventors globally.
✓ US Provisional Patent✓ Ingenuity Venture Fund✓ 1517 Fund Medici Project★ Featured in Lianhe Zaobao★ SAS Instagram Feature

The Problem

Clear Air Turbulence Is Invisible

CAT leaves no radar signature. Current warnings rely on briefings updated every six hours. SensAir changes that — with real-time detection up to 16 km ahead.

75–80%
of aviation crashes are linked to human error — often caused by unexpected turbulence with no advance warning system in place.
0
dedicated backup systems exist for real-time CAT detection. SensAir fills this critical gap in aviation safety infrastructure.

Technology

How SensAir Works

01
Sensing

Laser Photon Reflections

Nanosecond-accurate pulsed lasers and single-photon photomultipliers measure exact travel time of each photon reflecting off air molecules. Doppler shift analysis calculates particle velocity and position with 300 mm accuracy at 4–16 km range — far ahead of the aircraft.

02
Modelling

Fluid Dynamics Simulation

Maxwell–Boltzmann distribution calculations process individual particle datapoints to build a real-time 3D map of airflow ahead of the aircraft — turning raw photon data into an actionable spatial picture of turbulent air for pilots.

03
Intelligence

AI-Powered Insights

A 3D convolutional neural network trained on turbulence datasets actively monitors the airflow readout and alerts pilots instantly. The hybrid RNN/CNN model also connects to a global satellite network, crowdsourcing turbulence data from every SensAir-equipped aircraft worldwide.

Hardware

The Prototype

A compact, aircraft-installable device pairing a nanosecond-pulse laser emitter with a beam-expanding lens and single-photon PMT — spinning at high speed to scan the full airspace volume ahead.

Detection Range 4 – 16 km
Positional Accuracy 300 mm
Laser Type Nanosecond Pulsed
Detector Single-Photon PMT
AI Model 3D CNN / Hybrid RNN
IP Status Provisional US Patent
SensAir Prototype

Global Network

CAT Map Satellite API

Every SensAir-equipped aircraft contributes to and benefits from a live global turbulence intelligence layer.

1

Satellite Connection

All SensAir API-enabled aircraft connect to the global turbulence map via satellite, receiving live data updates from every other equipped aircraft.

2

Global SensAir Network

Each aircraft feeds sensor data back to the network, continuously improving the AI model with fresh real-world atmospheric observations.

3

Hybrid RNN/CNN–NWP Model

Neural networks combined with traditional numerical weather prediction produce a comprehensive, continuously updated global turbulence forecast.

Press & Coverage

In the Media

SensAir's breakthrough has been covered by major outlets and highlighted on global stages.

Award Ceremony Gallery
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The Founders

Our Team

Two Singapore students on a mission to make every flight safer.

Roadmap

What's Next

SensAir's next phase targets enhanced detection, global deployment, and expanded turbulence classification.

Enhanced AI Algorithms

More advanced convolutional and recurrent models to improve prediction accuracy and reduce false-positive alerts across complex atmospheric conditions.

Global Expansion

Partnering with airlines and aircraft manufacturers to build the first real-time global turbulence intelligence layer available to all equipped aircraft.

Real-time Data Integration

Integrating satellite feeds, METAR data, and live sensor telemetry for up-to-the-minute turbulence awareness at all altitudes and geographies.

More Turbulence Types

Extending hardware to classify high ice water content, adiabatic lapse rate anomalies, and wildlife hazards including bird-strike detection.