Description
Waveshare Luckfox Pico Ultra is a compact Linux micro development board based on the Rockchip RV1106G3 vision SoC. This SKU corresponds to the Luckfox Pico Ultra PoE Kit, combining the development board with a PoE module and USB cable for fast deployment in edge AI, embedded vision, and industrial networking projects.
The RV1106 architecture integrates CPU, NPU, and ISP processing for visual AI workloads, and the board provides practical interfaces such as Ethernet, USB Type-C, CSI camera connector, GPIO, and PoE module header. With Linux development support and rich hardware expansion, Luckfox Pico Ultra is suitable for compact AI devices, smart gateways, and intelligent monitoring nodes.
Features
- Rockchip RV1106G3 processor with integrated vision computing architecture.
- Built-in NPU up to 1 TOPS, supporting INT4, INT8, and INT16 mixed operations.
- Single-core ARM Cortex-A7 with integrated NEON and FPU.
- Integrated 16-bit DDR3L DRAM for embedded Linux and AI workloads.
- PoE module header supports power and network deployment over a single Ethernet cable when paired with PoE module.
- 100M Ethernet, USB Type-C, USB-A, CSI camera interface, GPIO for broad project expansion.
- Linux development support for rapid prototyping and product integration.
- Suitable for embedded vision, smart monitoring, AI edge terminals, and industrial control gateways.
- Compact board format for space-limited deployments and modular hardware integration.
- This SKU is the Luckfox Pico Ultra variant in the PoE kit lineup.
Specifications
| Item | Specification |
|---|---|
| SKU Variant | Luckfox Pico Ultra |
| Main Chip | Rockchip RV1106G3 |
| NPU | Up to 1 TOPS |
| CPU | Single-core ARM Cortex-A7 (32-bit), with NEON and FPU |
| Memory Architecture | Built-in 16-bit DDR3L DRAM |
| AI Precision Support | INT4 / INT8 / INT16 mixed operations |
| Ethernet | RJ45 100M Ethernet |
| USB | USB Type-C (power/programming), USB-A host |
| Camera Interface | MIPI CSI 2-lane |
| Expansion | GPIO, PoE module header, RTC battery header, speaker header, microphone support |
| Software | Linux development environment |
| Kit Type | Luckfox Pico Ultra PoE Kit |
Applications
- Edge AI vision systems with camera-based recognition and local inference.
- Smart monitoring nodes for industrial sites, offices, and remote equipment.
- Linux IoT gateways with Ethernet and PoE-friendly deployment.
- Embedded AI prototypes requiring compact board size and rich interfaces.
- Network-powered field devices using PoE module for simplified installation.
- Machine vision and intelligent control terminals in automation projects.
Product List
- Luckfox Pico Ultra x1
- Luckfox PoE module x1
- USB Type-A to Type-C cable x1
Other Content
The Luckfox Pico Ultra PoE Kit is designed for quick hardware bring-up in Linux and AI edge projects. The board can be powered and networked through PoE when the PoE module is installed, reducing extra wiring and improving installation flexibility for wall-mounted and remote devices.
For interface planning and expansion design, review the onboard component map and pin definition image below. The switch and some accessories shown in demonstration images are for reference only and are not included unless explicitly listed in the product list.
For ecosystem context, see OpenELAB articles on the Waveshare ecosystem and Luckfox edge AI development.
Resources
- Luckfox wiki: Luckfox Pico Ultra
- Luckfox documentation center
- Waveshare documentation center
- Luckfox Pico GitHub resources
- Luckfox sysdrv and build resources
FAQ
Q: Which variant does SKU Waveshare-27399 correspond to?
A: It corresponds to the Luckfox Pico Ultra variant in this product family.
Q: What AI computing capability does this board provide?
A: Luckfox Pico Ultra uses RV1106G3 and provides up to 1 TOPS NPU computing capability.
Q: Does this kit include PoE hardware?
A: Yes. The product list includes Luckfox PoE module x1 with the board and USB cable.
Q: Is this board suitable for Linux edge AI development?
A: Yes. It is designed as a Linux micro development board for embedded AI and vision applications.