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FWD-2.0 RK3588 Image Processing Board with 8K Video Encoding 6 TOPS NPU and Dual-Channel Video Input for Infrared Cameras
Product Details
| Highlight | RK3588 image processing board,8K video encoding board,infrared camera video input board |
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|---|---|---|---|
Product Description
FWD-2.0 RK3588 Cost-Effective Image Processing Board
Embedded Image Processing Board for Infrared Cameras / Thermal Imagers
Product Overview
This embedded image processing board measures 70×70×17 mm and consists of a main processor core board (SOM) and an image processing carrier board. The core board features Rockchip's flagship RK3588 processor built on an 8nm LP process, with an octa-core 64-bit CPU based on Cortex-A76+A55 architecture and a main frequency up to 2.4GHz. It integrates an AI NPU capable of delivering 6 TOPS computing power and supports mainstream deep learning frameworks.
The board integrates dual-channel inputs for SDI digital video and PAL analog video, while supporting both SDI video and network video outputs. Equipped with rich onboard communication interfaces, it enables stable and efficient video data transmission for high-performance embedded vision systems. The product has completed core driver adaptation under Linux (Ubuntu RootFS) environment, allowing direct application-layer development.
Applications
With deployment of various application or algorithmic software programs, this image processing board serves as a core component integrated into devices such as seekers, pods, and optoelectronic gimbals, facilitating target observation, aiming, and reconnaissance.
Key Features
- SDI Digital Video Capture: Equipped with SDI digital video signal capture capability
- PAL Analog Video Capture: Equipped with PAL analog video signal capture capability
- Serial Communication: Equipped with serial communication capability
- Network Communication: Equipped with network communication capability
- Type-C Interface & Expansion: Features Type-C interface supporting USB 3.1 and peripheral expansion for desktop system operations
- HDMI Output: Equipped with HDMI output capability
- AI Inference Runtime Environment: Built-in AI inference runtime environment with tri-core architecture and 6 TOPS computing power; supports multiple data precisions including INT4, INT8, INT16, FP16, BF16, and TF32
- Video Encoding: Supports video encoding in formats such as H.265 and H.264
Core Hardware Configuration
| Configuration | Specifications |
|---|---|
| CPU | Rockchip RK3588: Octa-core 64-bit big-little architecture (4x Cortex-A76 + 4x Cortex-A55) |
| NPU | 6 TOPS computing power, triple-core architecture, supports INT4/INT8/INT16/FP16/BF16/TF32 |
| GPU | ARM Mali-G610 MC4, OpenGL ES 1.1/2.0/3.1/3.2, Vulkan 1.1/1.2, OpenCL 1.1/1.2/2.0, Embedded High-Performance 2D Image Acceleration Module |
| Multimedia | Supports H.265/H.264/AV1/VP9/AVS2 video decoding up to 8K@60FPS; Supports H.264/H.265 video encoding up to 8K@30FPS |
| RAM | 8GB LPDDR4X |
| Built-in Storage | 64GB eMMC |
| Expand Storage | Standard SD card slot, supports up to 128GB |
| High-Speed Interface | Supports PCIe 3.0 / PCIe 2.0 / Type-C / USB 3.1 / USB 2.0 |
Hardware Interfaces
| Interface | Specifications | Description |
|---|---|---|
| Power Supply | DC 12V ±1V | Maximum operating current 1.2A, typical usage around 0.5A; supplied via miniature connector |
| Video Input | 1* SDI | Digital video input, maximum resolution 1920x1080 at 60 fps, using MCX-type RF connectors |
| Video Input | 1* PAL | Analog video input, 720x576 @ 25fps, using MCX-type RF connectors |
| Video Input | 1 * SDI | 3G-SDI, HD-SDI |
| Video Output | 2* HDMI | Micro Interface |
| Internet | 1* Ethernet | Gigabit auto-negotiating Ethernet port, using miniature 1.25 connector |
| USB | 1 * USB 3.1 | Type-C |
| Serial Port | 3 * RS422 1* RS232 |
Default transmission baud rate: 115,200 bps UART |
Board Specifications
Installation dimensions: 70 mm (L) × 70 mm (W) (excluding connectors); height not exceeding 34 mm (including heat sink). The schematic diagram of board dimensions is shown in Figure 1. The hardware interfaces are shown in Figure 2.
Environmental Adaptability
Operating Temperature: -40℃ to +60℃
Software Development Support
This product has completed adaptation and verification of all core peripheral drivers based on Linux system (equipped with Ubuntu file system by default). Users can directly conduct application-layer development using standard system calls without complex low-level driver concerns.
Driver Software
- Core Processor Drivers: Adapted power management, clock, interrupt, and DMA controllers of RK3588, ensuring efficient scheduling of CPU and NPU computing power
- Video Input Drivers:
- SDI Driver: Adapted digital video receiver chip, supporting stable capture and synchronization of high-definition SDI signals
- PAL Driver: Adapted analog video decoder chip and completed timing alignment for BT.656 interface, providing standard V4L2 device nodes
- Video Output Driver: Adapted SDI transmitter chip and provided display device drivers, supporting video frame streaming and display
- Network Interface Driver: Adaptive Gigabit Ethernet, supporting network video stream (RTSP) streaming and remote command control
- Communication Interface Drivers: Adapted onboard interfaces including UART, I2C, and GPIO for direct control and data interaction with external devices
Video Capture
The board integrates two types of video input interfaces to meet different sensor connection requirements:
- SDI Digital Video Input: Driver adapted to relevant serializer/deserializer (SerDes), providing standard V4L2 interface for image frame data acquisition
- PAL Analog Video Input: Supports analog infrared (IR) input with adapted analog video decoder chip for signal conversion and V4L2 framework processing
| Video Input | Collection Specifications | Color Space |
|---|---|---|
| Visible Light Camera | 1920x1080@60fps 1920x1080@50fps 1920x1080@30fps | RGB24/NV12 |
| Infrared Camera | 720x576@25fps | RGB24 |
Algorithm Deployment
Integrates tri-core architecture NPU supporting INT4/INT8/INT16/FP16 hybrid operations for complex vision tasks including object detection, classification, and tracking. Provides RKNN Runtime API for loading RKNN models, managing inputs/outputs, and executing inference computations on NPU.
Running algorithm examples are provided for quick start:
- Object Detection: YOLOv5 deployment example for real-time object detection on captured video streams
- Object Tracking: Integrated tracking algorithm examples for closed-loop control based on miss distance data
- Integration with Video Streams: Example program demonstrates feeding image frames into NPU for inference and superimposing results via OSD function
Note: Examples serve as engineering guidance only; performance or efficacy of algorithms not guaranteed.
Product Delivery Checklist
| NO. | Substance | QTY | Remark |
|---|---|---|---|
| 1 | Image Processing Card | 1 set | |
| 2 | Heat Sink | 1 pcs | |
| 3 | Power Cable | 1 set | Socket Model: J30JZLN37ZKWA000 Plug Model: J30JZ/XN37TJCAL01 (Includes plug with 200mm lead wire) Serial Cable Network Cable |
| 4 | Micro USB Cable | 2 pcs | Used for driver flashing |
| 5 | Video Input Cable | 2 pcs | MCX-J3 Right-Angle to BNC Male Adapter, 50Ω, 400mm |
| 6 | Video Output Cable | 1 pcs | MCX-J3 Right-Angle to BNC Male Adapter, 50Ω, 400mm |
| 7 | Type-C Cable | 1 pce | For USB Adapters |
| 8 | HDMI Cable | 1 pcs | Micro Interface |
| 9 | User Manual | 1 | Digital Files (Including Sample Source Code) |
| 10 | Certificate of Conformity | 1 | Paper documents |
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