Abstract: A device carried aboard or integrated therein to an aircraft collects time-stamped GNSS coordinates, ground speed, altitude, and inertial measurements. A processor identifies block-out, taxi, takeoff, wheels-off, wheels-on, landing rollout, and block-in by evaluating sensor signals against geo-boundaries and thresholds, and switches sampling from GNSS-centric collection to aircraft telemetry upon airborne detection and back upon landing. Event time stamps and computed block time are compared to a digital pilot logbook entry to generate a validation result with evidentiary traces. Weather reports and filed flight plans can be ingested to corroborate instrument conditions and planned operations. Touchdown-force and other performance metrics may trigger maintenance notifications, and pilot qualifications may be cross-checked against recorded aircraft type and conditions.

Abstract: The invention provides a method for systematically monitoring aircraft pilot and air traffic control (ATC) radio communications to detect predefined aviation-specific keywords indicative of operational conditions affecting flight safety or efficiency, such as turbulence, icing, or visibility constraints. Detected keywords and semantic equivalents from voice transmissions are transformed into structured data formats. These structured data are correlated with Automatic Dependent Surveillance-Broadcast (ADS-B) data, including precise aircraft position, altitude, heading, and speed. Leveraging this integrated data, the system generates automated, quantitative visualizations, such as condition-specific heatmaps or other graphical representations, illustrating spatial distributions of reported in-flight phenomena like turbulence, icing, or hazardous conditions.

Abstract: The disclosed invention provides a system and method for processing air traffic control (ATC) communications to ensure real-time validation of aircraft operations and improve pilot logbook accuracy. The system receives ATC voice communications through a digital radio system, converts them to text using a natural language processing model trained on aviation terminology, and extracts key operational data, including aircraft identifiers, instructions, and corrections. This data is correlated with Automatic Dependent Surveillance-Broadcast (ADS-B) and GPS data to verify compliance with ATC instructions. The system creates a continuous transcript of ATC-pilot communications, stitching together conversations across multiple frequencies. Deviations from ATC instructions are detected, generating alerts and logging the events. The method further provides automated reporting, archiving of communications, and enhanced safety metrics in immutable pilot logbooks, using blockchain technology for secure storage.