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What is LogHat

Overview

LogHat is a cloud-based flight data analysis platform purpose-built for professional drone operators, UAV safety engineers, and commercial inspection teams. It accepts raw .bin binary log files generated by ArduPilot and PX4 flight controllers, processes them through an AI-powered analysis engine, and delivers three core outputs: a quantified flight health score, an interactive 3D flight replay, and a downloadable forensic PDF report.

The platform is designed to eliminate the time-consuming manual process of parsing telemetry data in spreadsheet tools or ground station software. Instead of reading through hundreds of raw data parameters, you receive a structured assessment of your flight's critical health indicators within minutes of upload. No external plugins, no manual configuration, and no engineering background required to interpret the results.

LogHat supports the two most widely adopted open-source flight controller firmware stacks in the commercial drone industry. ArduPilot — which powers ArduCopter, ArduPlane, ArduRover, and ArduSub — generates .bin DataFlash log files. PX4 generates .ulg ULog files. Both formats are natively supported: LogHat auto-detects the format on upload and routes each file through the appropriate analysis pipeline. This broad platform coverage means LogHat serves a wide range of aircraft types, from multirotor inspection drones to fixed-wing mapping platforms and VTOL delivery systems.

Core Value Proposition

Traditional post-flight analysis requires navigating ground station software such as Mission Planner or QGroundControl, manually selecting parameters, and interpreting raw telemetry graphs without automated guidance. For non-expert operators, this process is opaque. For expert engineers, it is time-intensive.

LogHat changes this by applying AI analysis at the data layer. The moment your log file is processed, the system reads the Extended Kalman Filter (EKF) health indicators, measures vibration FFT levels across all three axes, evaluates GPS signal quality, and assesses battery voltage behavior over the course of the flight. These four dimensions are combined into a single, normalized health score with a pass/warning/grounded status badge — a format that is interpretable by both a non-technical fleet operator and a systems engineer reviewing post-incident data.

Who LogHat Is For

| User Type | Primary Use Case | |---|---| | Drone operators | Quick post-flight health check before the next mission | | Flight safety engineers | Detailed vibration, EKF, and GPS forensic analysis | | Drone service companies | Standard reporting for clients and incident documentation | | Research teams | Structured telemetry export and long-term fleet health trending | | Inspection teams | Post-mission verification and compliance documentation |

Key Capabilities

  • AI Health Scoring — Automatic scoring across battery, vibration, GPS, and EKF dimensions with a unified 0–100 score and status badge
  • 3D Flight Replay — Full GPS-tracked flight path rendered in real-time 3D with attitude, altitude, and telemetry overlays
  • Forensic PDF Report — Multi-page, professionally formatted report with graphs, health breakdown, and recommendations
  • Vector AI Chatbot — Conversational AI assistant that can answer diagnostic questions about your specific flight data
  • Fleet Management — Persistent drone profiles with cross-flight performance trending
  • Guest Mode — Upload and analyze a log file without creating an account (limited to two logs per day)

Next: Getting Started — upload your first log file and read your first report.

Next

Getting Started