Companion computers for onboard AI: Object detection/tracking, autonomous navigation, video encoding, sensor fusion. Jetson for heavy GPU-accelerated tasks (pairs great with Viewpro/SIYI gimbals for edge AI). Pi for lighter/cost-sensitive.

Opis

Industrial-Grade Companion Computers for Onboard Edge AI: High-Performance Mission Computing and Autonomous Navigation for UAVs

This advanced lineup of onboard Companion Computers represents the vital computational layer that bridges low-level flight stabilization with high-level artificial intelligence, machine learning, and autonomous decision-making at the edge. While standard flight controllers (such as Pixhawk or Cube) handle the immediate, reflex-driven micro-adjustments required for flight dynamics, these secondary processors serve as the drone’s “cerebral cortex.” Engineered to process massive data pipelines locally on the airframe, this product family handles complex tasks like Real-Time Object Detection, Vision-Based Target Tracking, Autonomous Denied-GPS Navigation, Multi-Sensor Fusion, and Ultra-Low Latency Video Encoding.

1. NVIDIA Jetson Orin Series: The Gold Standard for Heavy GPU-Accelerated Tasks

For tactical unmanned aerial vehicles (UAVs), high-endurance fixed-wing aircraft, and complex industrial platforms where performance cannot be compromised, the NVIDIA Jetson Orin platform (Orin Nano, Orin NX, and AGX Orin) stands as the ultimate edge-AI powerhouse:

• Massive AI Computing Power (Up to 100-275 TOPS): Powered by the NVIDIA Ampere architecture GPU with dedicated Tensor Cores and multi-core ARM CPUs, these modules handle heavy deep-learning workloads natively on the wing.

• Perfect Synergy with Viewpro & SIYI Smart Gimbals: The Jetson series pairs perfectly with high-end multi-sensor optical pods. By ingesting raw 4K visual or high-resolution thermal streams via Ethernet RTSP or high-speed GMSL2/MIPI CSI-2 interfaces, the Jetson runs real-time object classification models (such as YOLOv8/v10 or Custom TensorRT networks). It instantly isolates personnel, military assets, or infrastructure anomalies like powerline fractures, commanding the gimbal’s target tracking loop with sub-millisecond precision.

• Advanced Spatial Autonomy (VIO & SLAM): Enables Visual Inertial Odometry (VIO) and Simultaneous Localization and Mapping (SLAM). When flying into GPS-denied environments—such as deep urban canyons, heavily wooded dense foliage, or subterranean infrastructure—the Jetson fuses raw visual data from stereoscopic cameras with downward-facing LiDAR rangefinders to calculate position holds, allowing true autonomous obstacle avoidance and precision landing.

• Hardware-Accelerated H.264/H.265 Video Encoding: Meticulously encodes multiple high-definition multi-spectral video streams simultaneously, minimizing packet size for low-bandwidth, long-range digital data links without taxing the primary AI tracking loops.

2. Raspberry Pi Series (Pi 4 / Pi 5): Agile, Cost-Sensitive Mission Computing

For mid-size drone fleets, high-volume scout units, logistics/delivery prototypes, and cost-sensitive commercial operations, the Raspberry Pi 5 (4GB/8GB RAM) and Pi 4 architectures hit the sweet spot of price, weight, and deployment ease:

1. High-Efficiency Linux Environment: Operating on optimized Debian or Ubuntu Mate platforms, the Raspberry Pi serves as a flexible host for open-source robotics frameworks like ROS 2 (Robot Operating System) and DroneKit-Python.

2. Lightweight Vision and Precision Utility: While lacks the massive parallel Tensor-core hardware of the Jetson, the Pi 5 comfortably runs lighter AI inference models (such as MobileNet or lightweight OpenCV pipelines). It is highly effective for ArUco Fiducial Marker Tracking, enabling drones to identify QR-like landing pads for precise, autonomous package drop-offs or automated docking station reloads.

3. Low-SWaP Masterpiece (Size, Weight, and Power): Tipping the scales at a bare minimum mass (~46g to 60g bare board), it draws negligible current from a standard 5V 3A/5A regulated BEC. This allows small, agile 7-inch or 10-inch FPV long-range configurations to carry a fully programmable companion computer without introducing a parasitic battery-draining weight penalty.

3. Bulletproof Interconnects and Aerospace-Grade Ingress Protection

Available as bare single-board computers (SBC) or housed within custom CNC-machined aluminum ruggedized enclosures, these companion computers feature extensive physical layer routing:

+---------------------------------------------------------------------------------------+
| AVIONICS INTERACTION AND DATA ROUTING |
+----------------------+--------------------------+-------------------------------------+
| INTERFACE TYPE | CONNECTION PARTNER | DATA PROTOCOL TRANSMITTED |
+----------------------+--------------------------+-------------------------------------+
| Hardware UART | Autopilot (TELEM1/2) | High-Speed MAVLink / uXRCE-DDS |
+----------------------+--------------------------+-------------------------------------+
| CAN Bus (DroneCAN) | Avionic Sensors / ESCs | Real-Time System Telemetry Diagnostics|
+----------------------+--------------------------+-------------------------------------+
| Gigabit Ethernet IP | SIYI / Viewpro Gimbals | Digital RTSP/UDP 4K Video Pipelines |
+----------------------+--------------------------+-------------------------------------+