[{"content":"","date":"July 16, 2026","externalUrl":null,"permalink":"/tags/announcement/","section":"Tags","summary":"","title":"Announcement","type":"tags"},{"content":"Latest articles about drone navigation, computer vision, and development progress.\n","date":"July 16, 2026","externalUrl":null,"permalink":"/blog/","section":"Blog","summary":"Latest articles about drone navigation, computer vision, and development progress.\n","title":"Blog","type":"blog"},{"content":"\rThe Mission Gap\r#\rModern battlefields and critical infrastructure zones share one vulnerability: GPS is fragile. Jamming, spoofing, or urban canyons can render a drone blind in seconds. Cloud-dependent solutions fail when connectivity drops. Radar is heavy, expensive, and detectable.\nDroneDev closes this gap. It turns any Android phone into a combat-grade companion computer that replaces GPS, cloud, and radar — all running fully offline, on-device, in real time.\nHow It Works\r#\rUSB-OTG\rConnect to any FC\rReal-Time\rDead Reckoning Rate\rMulti-Class\rAI Detection Categories\r0 Cloud Dependencies 01 / INPUTSPhone sensorsCamera · IMU · compass · AI vision → 02 / FUSIONNavigation coreSensor fusion · AI navigation engines → 03 / CONTROLFlight controllerMSP v2 · MAVLink v2 · RC stream Plug the phone into your flight controller. DroneDev auto-detects the protocol — MSP or MAVLink — and begins enhancing your drone\u0026rsquo;s capabilities immediately. No configuration. No internet. No compromise.\nDead Reckoning Navigation\r#\rWhen GPS drops, most drones drift or RTH blindly. DroneDev\u0026rsquo;s sensor fusion engine combines the phone\u0026rsquo;s camera, AI image processing, compass, gyroscope, and accelerometer to maintain precise position estimates. An advanced sensor fusion filter continuously corrects drift — keeping you on course when satellites fail.\nOn-Device AI Detection — Neural Network Inference\r#\rYOLOv8s, a state-of-the-art deep neural network, runs entirely on the phone\u0026rsquo;s NPU. No cloud, no server — the neural network executes directly on the phone\u0026rsquo;s neural processor. Object categories are defined by training — customize detection for your operational needs. Intelligent tracking maintains object identity across frames. Detection coordinates are transformed to real-world positions via on-device spatial mapping — so you know exactly where each target is.\nVisual Homing — Neural Network Azimuth Lock\r#\rWind pushing the drone off-course? DroneDev automatically locks onto a YOLOv8s-detected landmark on the horizon — a building, tower, or tree — and uses it as a visual azimuth reference. The deep convolutional neural network tracks the landmark in real time, keeping the drone dead-on course regardless of crosswinds. No user tagging — the neural network chooses and locks automatically.\nAutonomous Patrols\r#\rConfigure search patterns — grid, spiral, creeping line, expanding square — and let the drone execute autonomously. Detection responses are programmable: take a photo, land, drop a payload, track-and-follow, or return home. Every photo is EXIF geotagged with GPS coordinates, detection category, and confidence.\nProven Architecture\r#\rDroneDev isn\u0026rsquo;t a concept. It\u0026rsquo;s a working MVP tested on real hardware:\nModern Android phone with USB-OTG → INAV flight controller ArduPilot 4.x+ with MAVLink v2 MSP v2 for INAV/Betaflight flight controllers Dual-protocol auto-detection — no manual switching Intelligent control loop for both protocols Tested hardware platform with documented integration path Built for Operators Who Can\u0026rsquo;t Afford Failure\r#\rWhether you\u0026rsquo;re securing a perimeter, searching a grid, or navigating denied airspace — DroneDev runs when cloud-based solutions can\u0026rsquo;t. Everything executes on the phone. No data leaves the device. No connectivity required. Full autonomy, zero compromise.\nReady to See It in Action?\rSchedule a live demonstration. See dead reckoning, AI detection, and visual homing on real hardware — in your environment.\rRequest Demonstration →\r","date":"July 16, 2026","externalUrl":null,"permalink":"/","section":"DroneDev","summary":"The Mission Gap\r#\rModern battlefields and critical infrastructure zones share one vulnerability: GPS is fragile. Jamming, spoofing, or urban canyons can render a drone blind in seconds. Cloud-dependent solutions fail when connectivity drops. Radar is heavy, expensive, and detectable.\nDroneDev closes this gap. It turns any Android phone into a combat-grade companion computer that replaces GPS, cloud, and radar — all running fully offline, on-device, in real time.\n","title":"DroneDev","type":"page"},{"content":"","date":"July 16, 2026","externalUrl":null,"permalink":"/tags/product/","section":"Tags","summary":"","title":"Product","type":"tags"},{"content":"","date":"July 16, 2026","externalUrl":null,"permalink":"/tags/","section":"Tags","summary":"","title":"Tags","type":"tags"},{"content":"We\u0026rsquo;re excited to introduce DroneDev — an Android companion computer app that brings intelligent navigation to your existing drone setup.\nThe Problem\r#\rGPS is fragile. Urban canyons, dense forests, jamming, or simple hardware failure — when GPS goes down, most drones lose their ability to navigate. Return-to-home fails. Waypoint missions abort. You\u0026rsquo;re left flying manually, hoping you can get your drone back safely.\nOur Solution\r#\rDroneDev runs on the phone you already carry. Connect it to your flight controller via USB-OTG, and it becomes a second brain for your drone:\nDead reckoning keeps you navigating when GPS drops Visual homing guides you back using landmarks your camera can see AI detection spots objects of interest in real time All processing happens on-phone. No internet required. No cloud dependency.\nWhat\u0026rsquo;s Next\r#\rWe\u0026rsquo;re currently testing with SpeedyBee F405 hardware running INAV 7+. Stay tuned for benchmarks, flight test videos, and release updates.\nHave questions? Reach us at contact@geekydemy.com.\n","date":"July 16, 2026","externalUrl":null,"permalink":"/blog/welcome-to-dronedev/","section":"Blog","summary":"We’re excited to introduce DroneDev — an Android companion computer app that brings intelligent navigation to your existing drone setup.\nThe Problem\r#\rGPS is fragile. Urban canyons, dense forests, jamming, or simple hardware failure — when GPS goes down, most drones lose their ability to navigate. Return-to-home fails. Waypoint missions abort. You’re left flying manually, hoping you can get your drone back safely.\n","title":"Welcome to DroneDev","type":"blog"},{"content":"\rWhat DroneDev Is\r#\rDroneDev is an Android companion computer application that transforms commercial drone platforms into autonomous mission systems. It connects to INAV and ArduPilot flight controllers over USB-OTG and replaces GPS-dependent navigation with phone-side sensor fusion, on-device AI detection, and visual-inertial odometry.\nThis isn\u0026rsquo;t a hobby project. It\u0026rsquo;s built for operators who need reliability when GPS is denied, connectivity is unavailable, and failure isn\u0026rsquo;t an option.\nThe Architecture\r#\rDroneDev is designed around three non-negotiable principles:\nZero Cloud. Every computation — sensor fusion, neural network inference, navigation — runs on the phone. No data leaves the device. No internet connection required. This means DroneDev works in RF-denied environments where cloud-dependent solutions fail.\nZero GPS Dependency. Dead reckoning via phone-side sensor fusion, visual-inertial odometry, and visual homing via YOLOv8s — a deep convolutional neural network that automatically locks onto horizon landmarks to maintain azimuth, compensating for wind drift without user input.\nZero Compromise on Autonomy. The phone isn\u0026rsquo;t a telemetry display — it\u0026rsquo;s an active flight computer generating flight commands through advanced control algorithms. The flight controller receives position, velocity, and attitude commands it can execute directly.\nMVP Status\r#\rDroneDev is a working minimum viable product tested on real hardware:\nComponent Specification Phone Modern Android device, Android 14+ Flight Controller INAV 7+ / ArduPilot 4.x+ compatible Firmware INAV 7+ / ArduPilot 4.x+ Protocol MSP v2 / MAVLink v2 Connection USB-OTG cable, direct UART AI Engine On-device neural network inference via TFLite VIO High-speed visual-inertial pipeline The system has demonstrated dead reckoning navigation through intentional GPS dropout, YOLOv8s detection of personnel and vehicles at operational altitudes, and visual homing maintaining azimuth lock with wind drift compensation.\nWho It\u0026rsquo;s Built For\r#\rDroneDev is designed for organizations operating in contested or denied environments:\nDefense \u0026amp; Special Forces — GPS-denied navigation for tactical ISR platforms Border Security — Autonomous patrol missions with AI-based detection Critical Infrastructure Protection — Perimeter surveillance with search patterns Search \u0026amp; Rescue — Systematic area coverage with visual target identification Industrial Inspection — GPS-free navigation in urban canyons and indoor facilities The Mission\r#\rModern flight controllers are powerful but limited by embedded hardware constraints. A smartphone carries orders of magnitude more compute — CPU, GPU, NPU, sensors, and AI accelerators. DroneDev bridges this gap without replacing existing flight stacks.\nThe phone is the upgrade. Plug it in. Launch the app. Fly with capabilities your flight controller alone can\u0026rsquo;t deliver.\nEvaluate DroneDev for Your Operation\rWe're actively seeking demonstration partners. See dead reckoning, AI detection, and visual homing in your operational environment.\rRequest Demonstration →\r","externalUrl":null,"permalink":"/about/","section":"DroneDev","summary":"\rWhat DroneDev Is\r#\rDroneDev is an Android companion computer application that transforms commercial drone platforms into autonomous mission systems. It connects to INAV and ArduPilot flight controllers over USB-OTG and replaces GPS-dependent navigation with phone-side sensor fusion, on-device AI detection, and visual-inertial odometry.\nThis isn’t a hobby project. It’s built for operators who need reliability when GPS is denied, connectivity is unavailable, and failure isn’t an option.\n","title":"About DroneDev","type":"page"},{"content":"DroneDev equips commercial drone platforms with combat-grade autonomous capabilities — all running on a phone, fully offline. Every feature below, from neural network-based computer vision to sensor-fused dead reckoning, has been tested on real hardware with INAV and ArduPilot flight controllers.\nNavigation\r#\rDead Reckoning\r#\rWhen GPS falls — through jamming, spoofing, or terrain masking — DroneDev maintains position using phone camera, AI vision, and IMU sensor fusion at high frequency. An advanced sensor fusion engine combines camera-based positioning with compass, gyroscope, and accelerometer data to deliver continuous navigation through denied environments.\nGPS Monitoring — Continuous health polling with automatic fallback trigger Heading Estimation — Fused compass + gyro for reliable orientation when magnetometer is compromised Altitude Compensation — Altitude maintained via flight controller telemetry Visual Homing — Neural Network Wind-Drift Compensation\r#\rWhen crosswinds push the drone off-course, DroneDev\u0026rsquo;s deep convolutional neural network (YOLOv8s) automatically detects and locks onto a landmark on the horizon — buildings, towers, trees — and uses it to maintain course. The system compensates for crosswind drift in real time, keeping the drone on target without GPS.\nNeural network selects and tracks landmarks automatically — no manual tagging required Real-time heading correction compensates for crosswind drift Works in real time on the phone\u0026rsquo;s NPU — completely offline, no cloud dependency Search Patterns\r#\rAutonomous search pattern generation for area coverage missions. Four pattern types optimized for different operational needs:\nGrid — Systematic coverage for known-area search Spiral — Expanding coverage from a point of interest Creeping Line — Linear search along corridors or borders Expanding Square — Perimeter security and containment Patterns execute autonomously with configurable spacing, altitude, and speed parameters.\nComputer Vision — AI \u0026amp; Neural Networks\r#\rObject Detection\r#\rYOLOv8s — a deep convolutional neural network — running on-device via TFLite with hardware acceleration on the phone\u0026rsquo;s dedicated NPU. Detection categories are defined by your training data — customize for personnel, vehicles, structures, or any target class. The neural network performs inference with configurable confidence thresholds.\nNeural network inference on-device — No cloud round-trip latency, no connectivity required Persistent tracking — Intelligent matching maintains object identity across frames World-coordinate mapping — Pixel detections transformed to real-world coordinates via on-device positioning EXIF geotagging — Every capture tagged with coordinates, category, and confidence score Visual-Inertial Odometry\r#\rHigh-speed VIO pipeline for continuous pose estimation. Provides the spatial foundation for detection mapping, dead reckoning correction, and visual homing — all without external references.\nAutonomy \u0026amp; Patrol\r#\rAutonomous Missions\r#\rFully autonomous search-and-detect patrols. Configure a search pattern, define detection responses, and launch. The drone executes independently:\nPhoto Capture — Document detected objects with geotagged imagery Precision Landing — Land at detection coordinates Payload Drop — Deploy payload on positive identification Track \u0026amp; Follow — Maintain visual lock on moving targets Return to Home — Visual homing or dead-reckoned RTH Sensor Fusion Engine\r#\rMulti-provider architecture aggregates all phone sensors into a unified state estimate:\nIMU — Gyroscope + accelerometer at high frequency Compass — Magnetometer with hard/soft iron calibration Camera + AI — Visual-inertial odometry and neural network detection GPS — When available, fused with dead reckoning for enhanced accuracy Compatibility\r#\rProtocol Auto-Detection\r#\rConnect any supported flight controller via USB-OTG. DroneDev probes MSP v2 first, then falls back to MAVLink v2 — no manual configuration required. RC channel override works identically across both protocols via a unified control system.\nSupported Flight Controllers\r#\rProtocol Version Baud Rate Target Firmware MSP v2 Full command set Standard INAV 7+, Betaflight MAVLink v2 GUIDED mode Standard ArduPilot 4.x+ Tested Hardware: Modern Android phone → INAV/ArduPilot flight controller via USB-OTG cable.\nZero Connectivity Required\r#\rEvery capability runs entirely on the phone. No cloud API calls. No internet dependency. No data exfiltration. DroneDev is designed for operations where connectivity is either unavailable or unacceptable — and that design constraint is treated as a feature, not a limitation.\nSee the Full Capability Set\rSchedule a technical deep-dive with our engineering team. See dead reckoning, AI detection, and visual homing demonstrated on real hardware.\rRequest Technical Briefing →\r","externalUrl":null,"permalink":"/features/","section":"DroneDev","summary":"DroneDev equips commercial drone platforms with combat-grade autonomous capabilities — all running on a phone, fully offline. Every feature below, from neural network-based computer vision to sensor-fused dead reckoning, has been tested on real hardware with INAV and ArduPilot flight controllers.\nNavigation\r#\rDead Reckoning\r#\rWhen GPS falls — through jamming, spoofing, or terrain masking — DroneDev maintains position using phone camera, AI vision, and IMU sensor fusion at high frequency. An advanced sensor fusion engine combines camera-based positioning with compass, gyroscope, and accelerometer data to deliver continuous navigation through denied environments.\n","title":"Capabilities","type":"page"},{"content":"","externalUrl":null,"permalink":"/categories/","section":"Categories","summary":"","title":"Categories","type":"categories"},{"content":"\rGet In Touch\r#\rDroneDev is actively seeking demonstration partners and early adopters in defense, security, and critical infrastructure operations.\nWhether you\u0026rsquo;re evaluating autonomous capabilities for your fleet, interested in a technical deep-dive, or have a specific operational requirement — we\u0026rsquo;re ready to talk.\nDirect Contact\r#\rEmail: rafal@geekydemy.com\nWe respond to all inquiries within 24 hours. For demonstration requests, please include:\nYour operational context (defense, security, SAR, industrial) Target flight controller platform (INAV / ArduPilot) Key capability interest (dead reckoning, AI detection, visual homing, patrol autonomy) What to Expect\r#\rInitial Briefing — We\u0026rsquo;ll discuss your operational requirements and confirm platform compatibility Technical Deep-Dive — Walkthrough of the architecture, sensor fusion engine, and AI pipeline Live Demonstration — See DroneDev operating on real hardware, in your environment Integration Support — Direct engineering support for platform integration and customization MVP Status\r#\rDroneDev is a working prototype with demonstrated capabilities in dead reckoning, AI detection, and visual homing on real hardware. We\u0026rsquo;re looking for partners to help drive the next phase of development and field testing.\nCurrent readiness: MVP — demonstrated on target hardware. Ready for operational evaluation.\nStart the Conversation\rSend an email to begin. We'll schedule a call within 24 hours.\rEmail the Team →\r","externalUrl":null,"permalink":"/contact/","section":"DroneDev","summary":"Get In Touch\r#\rDroneDev is actively seeking demonstration partners and early adopters in defense, security, and critical infrastructure operations.\nWhether you’re evaluating autonomous capabilities for your fleet, interested in a technical deep-dive, or have a specific operational requirement — we’re ready to talk.\nDirect Contact\r#\rEmail: rafal@geekydemy.com\n","title":"Contact","type":"page"},{"content":"\rStream Offline\rThe stream for key — is not active.\rAsk the stream operator for the correct viewing key.\rWatch Live Stream from your Drone\rEnter a viewing key to watch:\nWatch\rStream ID: —\r\u0026nbsp;|\u0026nbsp;\rConnecting...\rStop detection\r","externalUrl":null,"permalink":"/live/","section":"DroneDev","summary":"\rStream Offline\rThe stream for key — is not active.\rAsk the stream operator for the correct viewing key.\rWatch Live Stream from your Drone\rEnter a viewing key to watch:\n","title":"Live Stream","type":"page"}]