AMOVLAB FlyCore UAV control system front view
FlyCore UAV control system for GNSS-denied autonomous flight scenarios
FlyCore integrated hardware base with LiDAR vision GNSS RTK and IMU sensors
FlyCore development to deployment workflow for UAV integration
FlyCore separated perception planning and flight control compute architecture
FlyCore Web console management and open interface overview

FlyCore UAV Control System

$6,591.00
$6,591.00
小计: $6,591.00

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AMOVLAB FlyCore UAV control system front view

FlyCore UAV Control System

$6,591.00

FlyCore UAV Control System

$6,591.00

FlyCore integrated control system

UAV autonomy that keeps working when GNSS does not.

FlyCore combines perception, positioning, planning, flight control, Web management, and PX4-compatible development into one integrated UAV control system for OEMs, integrators, research teams, and secondary-development projects.

Configure FlyCore Open documentation
AMOVLAB FlyCore UAV control system
FlyCore GNSS-denied UAV control system
No GNSSStable autonomous positioning in GNSS-denied or weak-signal spaces.
IntegratedPerception, planning, control, sensors, and Web management in one platform.
PX4 readyCompatible with the PX4 open-source flight-control ecosystem.
BSA-SLAMPositioning and mapping workflow designed for real UAV deployment.

GNSS-denied scenarios

Built for the places where normal navigation breaks.

The original FlyCore detail page leads with real operating scenes. The storefront keeps that order: FlyCore is presented first as a UAV system for indoor, semi-indoor, and signal-blocked mission environments.

01Underground parking

Operate in GPS-denied parking structures where satellite positioning is blocked and local perception is required.

02Warehouses and depots

Support inventory, inspection, and route validation workflows in structured indoor spaces.

03Offices and campuses

Enable indoor flight verification, route tests, and algorithm validation without rebuilding the full stack.

04Caves and tunnels

Use onboard perception and SLAM workflows where lighting, geometry, and GNSS coverage are challenging.

05Outdoor operation

Integrate GNSS, RTK, visual positioning, and mission payloads for open-area deployment.

06Indoor-outdoor transition

Prepare UAV systems for mixed environments where positioning sources and control assumptions change.

Hardware base

Strong hardware foundation with multi-compute collaboration.

FlyCore is positioned as more than a flight controller. It is an integrated compute and control base with perception, planning, flight control, sensor input, and external payload interfaces.

Multi-unit collaboration

Perception, planning, and control are separated but coordinated.

The system separates high-load perception, application planning, and flight-control safety into dedicated compute layers. This keeps autonomy workloads organized while preserving a stable flight-control foundation.

  • Perception computer for localization, mapping, and sensor processing.
  • Planning and application computer for user logic and mission development.
  • Flight-control computer for attitude control, actuator output, and safety fallback.
Perception sideVisual positioning, LiDAR, IMU, mapping, and BSA-SLAM processing.
Planning sideRK3588 application layer, Web console, payload logic, and user development.
Flight sidePX4-compatible flight control, MAVLink, power monitoring, and safety control.
Sensor inputFour vision channels, IMU, RTK/GNSS, LiDAR, and payload signals.
Data outputPositioning, control, mission state, network, serial, and Web service outputs.
IntegrationCommon power, communication, and mechanical interfaces for OEM aircraft.
01Sensor fusion layout

Designed around cameras, LiDAR, IMU, GNSS/RTK, and external mission payloads.

02External interfaces

Ethernet, serial, USB, MIPI, SPI, CAN, GNSS, payload, and flight-control links support real integration work.

03Power outputs

Provides 12 V, 5 V, and 3.3 V auxiliary output rails for lightweight external modules.

Engineering value

Save engineering effort, cost, and deployment time.

The original detail page contrasts FlyCore against building a UAV stack from scratch. The product page keeps that message clear for integrators and engineering buyers.

FlyCore integrated approach

Starting pointIntegrated control system plus adaptable UAV platform.
Typical workAircraft adaptation, parameter tuning, payload integration, application development.
Deployment targetProduct landing can be accelerated to roughly one month when requirements are aligned.
Business effectLower development risk, faster market entry, and a cleaner integration path.

Traditional development path

Starting pointHardware selection, interface adaptation, hardware design, and sensor synchronization.
Typical workFlight-control software, mapping and positioning algorithms, application code, and long validation cycles.
Deployment targetOften requires two to three years before a stable product is ready.
Business effectLong cycle, high cost, and more uncertainty before field deployment.

Development workflow

A complete path from integration to application deployment.

The workflow follows the polished detail page: connect the airframe, complete base configuration, validate the system, develop applications, and deploy the final integration.

01Airframe integration

Mount FlyCore on the UAV frame, connect power, flight-control links, sensors, and payload interfaces.

02Base configuration

Configure flight controller parameters, perception links, network addresses, and Web console access.

03Validation

Verify power stability, communication, sensor output, positioning status, and flight-control feedback.

04Application development

Develop mission logic on the planning computer using the provided interfaces and SDK environment.

05Deployment

Integrate the system into the final UAV product, document the configuration, and prepare field tests.

Software ecosystem

PX4-compatible, BSA-SLAM enabled, and transparent from hardware to application.

FlyCore is designed for teams that need the freedom of an open UAV ecosystem without rebuilding every core subsystem themselves.

01PX4 ecosystem compatibility

Keep using the PX4 open-source ecosystem while integrating FlyCore perception, positioning, and application layers.

02BSA-SLAM positioning

Use a SLAM workflow prepared for UAV localization, map management, and positioning output to the flight controller.

03Web console management

Manage maps, parameters, logs, OTA packages, plug-ins, and runtime state through the built-in Web console.

AI-assisted development

Prepared for secondary-development teams and UAV integrators.

FlyCore gives developers a clearer boundary between flight-control safety, perception positioning, and user application logic. That makes AI-assisted Web ground-station development, payload control, and mission app integration easier to plan.

  • Application-side development can run on the planning computer.
  • Web interfaces expose map, parameter, log, plug-in, and OTA workflows.
  • Mission payload integration can use serial, network, MIPI, USB, and power outputs.
Web consoleMaps, parameters, plug-ins, logs, OTA, and runtime monitoring.
Developer appsUser mission logic, AI-assisted interface work, and payload control.
Flight stackPX4-compatible control, MAVLink communication, and safety states.

Specifications

Readable parameters for engineering comparison.

Key technical data is rebuilt as English HTML tables so buyers and search engines can read it directly.

System capability

Effective perception distance>= 5 m at 90% reflectivity and 100 klx.
Perception blind zone<= 30 cm, depending on the final sensor layout.
Effective perception range>= 180 degrees, depending on the final sensor layout.
Perception resolution<= 5 cm.
Perception output frame rate>= 10 Hz.
Positioning output jitter<= 10 ms interval fluctuation.
Static positioning error+/- 5 cm and +/- 1 degree, 5 min CEP95.
Dynamic positioning error+/- 15 cm and +/- 3 degrees, 5 min CEP95.
Initialization time<= 20 s.
Maximum recommended motion speed5 m/s.

Compute and storage

Perception CPUHybrid processor with up to 4.8 GHz P-core, 3.8 GHz E-core, and 2.4 GHz LE-core.
Perception GPU / NPUIntel Graphics up to 2 GHz; 12 TOPS INT8 NPU.
Perception memory / storage16 GB LPDDR5; 256 GB 2242 NVMe PCIe 3.0 x2.
Planning CPURK3588L, up to 2.4 GHz.
Planning GPU / NPUARM Mali-G610 MP4; 6 TOPS INT8 NPU.
Planning memory / storage16 GB LPDDR4X; 128 GB eMMC.
Visual front endOAK-SOM-Pro.

Electrical and mechanical

Camera channels4 perception camera channels.
Time synchronizationIEEE 1588-2008 and PPS output.
Operating temperature-10 to 50 deg C with standard cooling and good ventilation.
Humidity range0 to 90% RH, non-condensing.
Input power15 to 28 V at 5 A.
Mechanical size120 x 93 mm.
Maximum design power40 W, excluding external output power.
External power outputs12 V at 3 A, 5 V at 2 A, 3.3 V at 1 A.

External interfaces

Integrated external ports100 Mbps Ethernet x2 and command/control serial x2.
Perception camera portsMIPI 2-lane x4.
Onboard IMUSPI x1.
Payload interfaceSerial x1, MIPI 4-lane x1, and USB 2.0 x1.
USB-CUSB 3.0 x2 and DP support.
GNSS and timingGNSS serial x1 and PPS input x1.
Flight controller and data linkSerial x1 and 100 Mbps Ethernet x1.
Certification targetCCC, CE, FCC, and RoHS.

Packing list

Core kit prepared for integration work.

The final package should be confirmed before publishing, but the English storefront keeps the same checklist structure from the polished detail page.

ItemQuantity
FlyCore control system main unit1
Radar mounting structure1 set
Power cable U1
TF card1
Power module1
Type-C cable1

Build a GNSS-denied UAV product around FlyCore.

Use FlyCore as the integrated foundation for positioning, perception, planning, control, and Web-based management. AMOVLAB can help align the aircraft, payload, power, and software stack with your target deployment scenario.

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