Aircraft cockpit

AI-Powered Pilot Training Analytics

Enhance aviation safety and training effectiveness with advanced behavioural analysis and real-time monitoring - powered by BeEmotion.ai

Transform Pilot Training with AI-Powered Behavioral Analysis

AeroMind monitors real-time behavioural metrics during simulator sessions, analyzing facial expressions, body positioning, and attention patterns to provide objective insights into pilot performance and resilience.

Emotional Recovery Analysis

Measure pilot response times and emotional recovery during critical scenarios

Data-Driven Assessment

Standardize evaluation with quantifiable metrics and objective performance data

Progress Tracking

Monitor development over time with comprehensive analytics and reporting

How It Works

AeroMind uses advanced AI to analyze over 500 behavioural data points per second during simulator sessions. The system detects micro-expressions, monitors stress responses, and measures recovery times, providing instructors with immediate, actionable insights into pilot performance and resilience.

Why Trust AeroMind

Industry Expertise

Built on BeEmotion.ai's decade of experience in human behaviour AI

Proven Results

Reduces training time while improving evaluation accuracy

Trusted Partner

Adopted by leading training organizations including SimNest Academy

Advanced Features for Modern Aviation Training

Real-time Behavioral Analytics

Advanced computer vision and AI track over 500 behavioural data points per second, analyzing micro-expressions, body positioning, and attention patterns during simulator sessions. (Development phase)

Capabilities

  • Micro-expression analysis
  • Body position tracking
  • Attention pattern monitoring
  • Standardized evaluation metrics

Benefits

  • Enhanced training efficiency
  • Improved stress management techniques
  • Better performance assessment
  • Documented competency evidence

Performance Analytics Dashboard

Comprehensive reporting system showing emotional recovery time, stress response patterns, and attention distribution. Features predictive analytics and historical data analysis.

Capabilities

  • Real-time monitoring
  • Predictive analytics
  • Custom report generation
  • Performance benchmarking

Benefits

  • Early issue detection
  • Best practices identification
  • Customizable stakeholder views
  • Trend analysis and insights

Privacy-First Edge Processing

All behavioural analysis occurs on local edge computing hardware with advanced encryption, ensuring complete data privacy and regulatory compliance.

Capabilities

  • Local processing
  • Advanced encryption
  • Consent management
  • Secure storage options

Benefits

  • Complete data control
  • Regulatory compliance
  • Minimal latency
  • Enhanced security

Dual System Compatibility

Specialized hardware configurations and calibration protocols for both Fixed Base Simulators (FBS) and Full Flight Simulators (FFS), with automatic parameter adjustment.

Capabilities

  • Dual system support
  • Automatic calibration
  • Environment-specific analysis
  • Hardware optimization

Benefits

  • Maximize existing investments
  • Scalable implementation
  • Future-proof solution
  • Consistent evaluation

Integration Capabilities

API-level integration with existing training management systems, scheduling software, and learning management platforms.

Capabilities

  • API integration
  • Standard data formats
  • Automated workflows
  • System compatibility

Benefits

  • Seamless workflow integration
  • Automated data collection
  • Reduced manual entry
  • Complete performance view

Real-World Impact

Development Partner

SimNest Academy Partnership

How AI-powered behavioural analytics transformed pilot training assessment and instruction.

We're excited to contribute to the development of this innovative technology to lead the field in quality training as a premier Approved Training Organisation (ATO).

Cpt. Gyula Kühtreiber, CEO of SimNest Pilot Academy

Case Study

Gulf Air 072 Analysis

Understanding how stress affects decision-making and the importance of procedural discipline.

AI-supported emotion detection could help identify patterns of elevated stress and its impact on decision-making during training.

2024

Fatigue Management Innovation

Using behavioural analytics to identify and address pilot fatigue patterns.

AeroMind's integration could revolutionize how we monitor and manage pilot fatigue and recovery.

Case Study

Atlas Air 3591 Insights

How advanced behavioural monitoring could enhance crisis response training.

Such a system could have identified patterns of elevated stress or moments of cognitive overload, allowing for targeted interventions.

Ready to enhance your pilot training?

Get started with AeroMind today and transform your training program.