UAV

• Sensor control software development for UAV onboard computers.
• Data logging & compression to optimize transmission & storage.
• Real-time sensor health monitoring & diagnostics.
• Custom middleware for communication between UAV flight controller & sensor payload.
• RTK/PPK Integration for High-Precision Surveying
• BVLOS-Specific Integration Services
• Real-Time Long-Distance Data Transmission for Mission-Specific UAV Systems (Cellular (4G/5G, LTE), Satellite Communication (SATCOM),
• Mesh Network (Ad-Hoc RF Networks), LoRaWAN & LPWAN), High-Bandwidth RF Links (C-Band, Ku-Band, mmWave).

• Data compression algorithms to reduce transmission latency for bandwidth-limited UAV operations.
• Integration with CORS networks for high-accuracy GNSS positioning.
• Telemetry optimization for long-range control & sensor data transmission (e.g., LTE, satellite links).
• On-board GNSS/IMU processing. Geo-tagging of images using GNSS/IMU data. Redundant GNSS integration to mitigate signal loss risks.
• RTK/PPK GNSS integration for high-precision georeferencing.
• Automated ground control point (GCP) detection & adjustment.
• Adaptive mission adjustments based on environmental conditions and detected objects.
• Payload-specific flight route optimization (e.g., LiDAR strip overlap, multispectral grid coverage).
• Camera triggering & synchronization with UAV flight control.
• Temperature calibration, real-time radiometric corrections for thermal cameras
• LiDAR point cloud pre-processing (raw data filtering, noise reduction).
• Integration with detect-and-avoid (DAA) systems for BVLOS safety compliance.
• Autonomous fail-safe handling (e.g., lost link return-to-home or alternative landing site selection).
• Post-flight data transfer & cloud integration

• Optical & Multispectral Cameras RGB, Multispectral Images (GeoTIFF, JPEG2000)
• LiDAR Point Clouds (.las, .ply, .pcd)
• Thermal & Infrared Radiometric images (TIFF, SEQ, R-JPEG)
• Hyperspectral Spectral data cubes (.ENVI, .HDF5)
• SAR Radar imagery (GeoTIFF, CEOS) Flood mapping, subsidence monitoring
• GNSS/IMU Position & Orientation (NMEA, RINEX)
• Magnetometers & GPR Electromagnetic signals (CSV, SEG-Y)

• MAVLink
• NMEA 0183/2000
• RS-232 / RS-485
• Ethernet/IP (GigE Vision)
• SPI / I2C
• Wi-Fi (802.11ac, 802.11ax)
• 5G / LTE / LoRa
• CAN Bus

• OpenCV
• PCL (Point Cloud Library)
• GDAL
• Eigen
• NumPy / SciPy
• PyTorch / TensorFlow
• RTKLIB
• libLAS / PDAL
• Dronekit / MAVSDK

• Autopilot Systems (PX4, ArduPilot)
• GIS & Mapping Software (QGIS, ArcGIS, Pix4D, Agisoft)
• Cloud-Based Storage & Processing (AWS, Google Earth Engine)
• AI/ML Pipelines (Google Vertex AI, NVIDIA Jetson)
• SCADA & IoT Platforms (Ignition, Siemens MindSphere, GE Digital Predix)
• BVLOS & Remote Operation Systems (uAvionix SkyLine, Elsight Halo, Aloft)
• Digital Twin Platforms (Bentley iTwin, Microsoft Azure Digital Twins, Dassault Systèmes 3DEXPERIENCE)

• AI-Driven Autonomous Mission Planning
• Multi-UAV Cooperative Mission Planning
• Beyond Visual Line of Sight (BVLOS) Mission Planning
• Real-Time Adaptive Flight Path Optimization
• Terrain-Aware & 3D Mission Planning
• AI-Based Obstacle Avoidance & Collision Prevention
• AI-Powered Search & Rescue Mission Planning
• Urban Air Mobility (UAM) & eVTOL Route Planning
• Maritime & Offshore UAV Mission Planning

• AI-based path optimization using reinforcement learning & genetic algorithms.
• Sensor fusion from LiDAR, GPS, and cameras for real-time adjustments.
• Deep learning models for terrain analysis and risk detection.
• Integration with weather forecasting APIs for route safety.
• Swarm intelligence algorithms (Ant Colony, Particle Swarm Optimization).
• Task allocation with auction-based models.
• AI-driven risk assessment for automated rerouting.
• SatCom & LTE-based real-time monitoring.
• Edge AI on UAVs for in-flight decision-making.
• AI-based predictive analytics for weather adaptation.
• Reinforcement learning for flight path corrections.
• AI-based trajectory prediction for dynamic obstacles.

• GIS & DEM (Digital Elevation Model) data.
• GPS coordinates & GNSS data.
• Sensor telemetry (IMU, LiDAR, radar, thermal).
• Wind & weather data (temperature, precipitation, turbulence).
• Obstacle map updates.
• 3D urban maps & building footprints.
• Real-time video.
• Stereo vision data.
• Infrared & thermal imagery.
• Real-time sea state data (buoy sensors, satellite)

• MAVLink (Micro Air Vehicle Communication Protocol).
• DDS (Data Distribution Service) for real-time UAV data streaming.
• 4G/5G or SatCom for remote command & control.
• UAV-to-UAV mesh networks (IEEE 802.11s, LTE Direct).

• Computer vision for object detection (OpenCV).
• Deep learning for autonomous decision-making (TensorFlow/PyTorch).
• Open-source autopilot frameworks (PX4/ArduPilot).
• Python for UAV swarm coordination (NetworkX).
• multi-UAV execution (PX4 Swarm Library).
• Agent-based modeling for swarm intelligence (GAMA).
• Cloud-based BVLOS mission planning (FlytOS).
• UAV airspace management (AirMap SDK).

• Drone SDKs: DJI OSDK, Parrot Sphinx, Auterion.
• GIS systems: QGIS, ArcGIS.
• Cloud AI Services: Google AutoML, AWS SageMaker.
• Weather APIs: OpenWeather, NOAA.
• IoT Platforms: AWS IoT, Azure IoT Hub.
• Distributed Computing: Edge AI frameworks like Nvidia Jetson.
• V2X Communication: Vehicle-to-vehicle interaction for airspace coordination.
• UTM (UAS Traffic Management) Systems.
• Regulatory Compliance APIs: FAA LAANC, UTM framework.

• Data Visualization & GIS Mapping
• Data Processing & AI-Powered Analysis
• Multi-Source Data Fusion
• Real-Time Alerts & Notifications
• Decision Support & Reporting
• User Management & Access Control

Construction

• AI-powered construction site progress tracking (planned vs. actual).
• Defect detection (cracks, water damage, misalignment) using drone imagery.
• 3D model visualization & integration with BIM software.
• Workforce & equipment tracking combined with IoT sensor data.
• Real-time safety alerts (unauthorized workers in restricted areas).

Agriculture & Precision Farming

• AI-powered crop health monitoring (NDVI, multispectral analysis).
• Automated disease detection (fungal infections, pest infestations).
• Soil moisture & irrigation planning by combining UAV and IoT sensor data.
• Yield prediction models based on drone-based vegetation analysis.
• Weather-based decision support for farming operations.

Maritime & Offshore Operations

• AI-driven ship hull corrosion & damage detection from UAV imagery.
• Offshore wind farm/turbine monitoring with UAV + SCADA data integration.
• Oil spill detection via drone-based hyperspectral imaging.
• Live environmental risk analysis combining UAV, IoT buoys, and weather data.
• Real-time incident alerts (illegal fishing, vessel tracking violations)

Infrastructure Inspection

• AI-powered fault detection (powerline sag, rust, vegetation encroachment).
• Thermal imaging analysis for overheating transformers & substations.
• Integration with SCADA & GIS systems for predictive maintenance.

Land Surveying & Geospatial Mapping

• AI-powered terrain classification from UAV imagery.
• LiDAR & photogrammetry-based 3D modeling.
• Automated volumetric calculations for mining and excavation.
• Multi-layered GIS data integration for planning & land use optimization.
• Custom report generation for geospatial analysis

Security & Surveillance

• Live-streamed UAV surveillance with AI-based threat detection.
• Facial recognition & object detection for law enforcement.
• Automated suspect tracking with predictive analytics.
• Geofencing & intrusion detection alerts.
• Multi-agency collaboration dashboards.

Environmental Monitoring & Disaster Response

• AI-powered wildfire, flood, and pollution detection.
• Live UAV environmental monitoring integrated with IoT air quality sensors.
• Automated damage assessment reports from UAV-captured disaster zone data.
• Predictive analytics for extreme weather risks.
• Automated search & rescue support using UAV infrared imaging.

• RGB Images & Videos
• Thermal & Infrared (IR) Data
• Multispectral & Hyperspectral Data
• LiDAR Point Cloud Data
• Photogrammetry Data
• GPS & IMU Data
• Satellite imagery
• Radar data
• Stereo data
• Ancillary GIS datasets
• Background maps
• IoT Sensor Data
• SCADA & Asset Management Data
• Weather & Environmental Data
• 3D/CAD/BIM models

Geospatial & GIS Processing

• GDAL
• GeoPandas
• Leaflet / OpenLayers
• CesiumJS
• PostGIS

Image & Video Processing

• OpenCV
• Pillow (PIL)
• Scikit-Image
• FFmpeg

AI & Machine Learning for Anomaly Detection

• TensorFlow / PyTorch
• YOLO
• Detectron2
• XGBoost / Scikit-Learn

LiDAR & 3D Processing

• PDAL
• PCL
• MeshLab
• Blender

Web & Cloud Development

• Flask / FastAPI / Django
• Node.js / Express.js
• React.js / Vue.js
• Three.js / Babylon.js
• AWS Lambda / Azure Functions
• Google Earth Engine

Database & Big Data Handling

• PostgreSQL + PostGIS
• MongoDB / Firebase
• Hadoop / Spark
• Elasticsearch

Alerting & Reporting

• Twilio / Firebase Cloud Messaging
• Matplotlib / Seaborn / Plotly
• ReportLab

• UAV Fleet Tracking & Real-Time Monitoring
• Mission Scheduling & Automated Dispatching
• Predictive Maintenance & Monitoring
• UAV Fleet Data Analytics & Reporting
• Remote UAV Command & Control (C2) Systems

• GPS-based Tracking: UAVs transmit live GPS coordinates via 4G/5G, SATCOM, or LoRaWAN.
• Telemetry Data Streaming: Collecting altitude, speed, heading, battery status, and other sensor data.
• Geofencing & Restricted Airspace Monitoring: AI-based algorithms to enforce No-Fly Zones.
• Multi-UAV Tracking: Cloud-based tracking with AI-based traffic deconfliction
• AI-Optimized Scheduling: Assigns UAVs based on battery level, payload, and location.
• AI-Driven Failure Prediction
• Motor & Propulsion System Data: RPM, vibration frequency.
• Battery Health Metrics: Charge cycles, temperature, voltage fluctuations.
• Cloud-Based Command Centers: Remote UAV control via encrypted links.

• Positional Data: GPS, IMU (Inertial Measurement Unit) readings.
• Telemetry Data: Speed, altitude, battery level, motor status.
• Weather Data: Wind speed, temperature, precipitation.
• Airspace Data: No-Fly Zones, UAV traffic data (UTM).
• Flight Plans: Waypoints, altitude, speed, payload settings.

• MAVLink
• RTCM
• MQTT & WebSockets
• ADS-B
• TLS/SSL Encryption

• DroneKit
• PX4 / ArduPilot SDKs
• OpenCV & YOLO
• Leaflet.js
• GStreamer / FFmpeg
• WebRTC / RTMP
• ArduPilot / PX4 Offboard Control APIs

• UTM Systems (e.g., NASA UTM, Altitude Angel).
• Cloud-Based UAV Dashboards – AWS IoT, Google Cloud IoT, Azure IoT Hub.
• Public/Private APIs for Air Traffic Control – FAA LAANC, EASA U-Space.

• Flight Control System Development & Customization
• Ground Control Station & Mission Planning Software
• UAV Navigation & Guidance Systems
• AI-Driven Autonomous Mission Planning
• UAV Communication & Data Transmission Systems
• Sensor Integration & Onboard Data Processing
• AI-Based Obstacle Avoidance & Collision Prevention
• UAV Cybersecurity & Secure Software Development

• Customizing PX4 or ArduPilot for flight control
• Implementing sensor fusion (IMU, GPS, LiDAR, barometer) for stability
• Developing fail-safe mechanisms (e.g., emergency landing protocols)
• Tuning PID, MPC, or adaptive control algorithms for stability & responsiveness
• Developing multi-UAV mission coordination features
• Implementing terrain-aware mission planning using GIS data
• Adding real-time telemetry visualization & remote control
• GPS-Denied Navigation: Visual-Inertial Odometry (VIO), SLAM, LiDAR mapping
• Terrain-Following Navigation: Using LiDAR and barometer data
• AI-based adaptive mission rerouting based on environmental changes
• Depth Estimation using Stereo Vision
• LiDAR + Optical Flow Sensors for Obstacle Detection

• IMU Data: Acceleration, angular velocity (gyroscope, accelerometer)
• Position Data: GNSS, RTK-GPS, visual SLAM
• Actuator Commands: Motor speed, servo positions
• Flight Logs: Flight time, altitude, sensor readings
• Mission Data: Waypoints, geofencing areas, flight zones
• Sensor Data: Camera feeds, LiDAR scans, environmental readings

• MAVLink
• DroneCAN (UAVCAN)
• SBUS / I2C / SPI / UART
• Eigen / Ceres Solver
• RTSP/UDP/TCP
• MQTT/WebSockets
• RTCM 3.0
• NTRIP
• I2C / SPI / UART

• PX4
• ArduPilot
• QGroundControl
• OpenUAV
• ORB-SLAM / OpenVINS: For vision-based navigation
• Cartographer (Google), RTAB-Map: For LiDAR-based navigation
• Reinforcement Learning (RLlib, Stable-Baselines3): AI training for UAV routing
• Fast-Planner, OMPL: Path planning & obstacle avoidance
• PyTorch / TensorFlow: For AI-powered decision-making

• Precision Agriculture & Crop Monitoring
• Infrastructure Inspection & Asset Monitoring
• Disaster Response & Damage Assessment
• Surveying & Mapping
• Surveillance & Security
• Traffic Monitoring & Smart City Applications
• Environmental Monitoring
• BVLOS UAV Operations
• Logistics & Cargo Delivery
• Maritime & Offshore
• Construction Management & Site Monitoring

• UAV-based automated spraying and irrigation monitoring
• Autonomous perimeter patrolling
• Geofencing for restricted area monitoring
• UAV-assisted emergency response routing
• UAV-assisted wildlife tracking
• AI-based construction progress tracking

• Multispectral, hyperspectral, and thermal imagery
• Vegetation indices (NDVI, EVI, SAVI)
• Soil moisture and temperature data
• GPS/RTK geolocation data
• Point clouds
• Marine radar & AIS data

• MAVLink for UAV telemetry
• LoRaWAN for remote farm communication
• MQTT for sensor data transmission
• 5G for real-time UAV connectivity
• NTRIP for RTK corrections
• RTSP/RTP for live video streaming
• AES-256 encryption for secure video feeds
• DSRC for vehicle-to-UAV communication
• SATCOM for long-range BVLOS
• VHF for maritime UAVs

• OpenDroneMap (geospatial mapping)
• QGIS for GIS-based agricultural planning
• CloudCompare for point cloud processing
• TensorFlow/PyTorch for AI-based crop analysis
• PX4/ArduPilot for UAV autopilot control