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Greg Blades1Melhor serviço, melhor preço. 2Espero que possamos fazer mais negócios juntos no futuro. 3Como o seu serviço é tão bom, vou espalhar a boa palavra sobre Xixian Forward entre a fraternidade CJ-6 de Nanchang. -
Arshad Saleem1Não vou contactar nenhuma empresa directamente, tu serás a minha fonte na China. 2Vocês são incríveis, temos uma colaboração muito suave e bem sucedida.
A cost-effective RK3588 image processing board, featuring an 8-core 64-bit CPU with a clock frequency of up to 2.4 GHz
| Lugar de origem | China |
|---|---|
| Marca | Forward |
| Número do modelo | FWD-RK3588 |
| Quantidade de ordem mínima | 1 |
| Tempo de entrega | 5 a 8 dias úteis |
| Termos de pagamento | T/T |
| Habilidade da fonte | 10.000/ano |
Detalhes do produto
| Destacar | RK3588 thermal imaging board,8-core 64-bit CPU monocular,2.4 GHz image processing board |
||
|---|---|---|---|
Descrição de produto
A cost-effective RK3588 image processing board, featuring an 8-core 64-bit CPU with a clock frequency of up to 2.4 GHz for Infrared Cameras / Thermal Imagers
Product Overview
This product is an embedded image processing board powered by the Rockchip RK3588 processor, primarily consisting of two components: a core processing board (SoM) and an interface carrier board. The RK3588 is Rockchip’s next-generation flagship high-end processor, fabricated using an advanced 8nm process node. It features an 8-core 64-bit CPU with a primary clock speed of up to 2.4GHz. The processor integrates a built-in AI accelerator NPU, delivering 6 TOPS of computing power and supporting mainstream deep learning frameworks.
The image processing board integrates three video input interfaces, including two MIPI CSI interfaces and one BT.1120 digital video interface, enabling multi-source high-definition video capture. Equipped with abundant onboard communication interfaces, the board achieves stable and efficient video data transmission to meet the demanding requirements of high-performance embedded vision systems. The product has completed core driver adaptation under the Linux (Ubuntu RootFS) environment, allowing users to directly proceed with application-layer development.
Applications
Upon the deployment of various application or algorithmic software programs, an image processing board can serve as a core component integrated into devices such as seekers, pods, and optoelectronic gimbals, facilitating target observation, aiming, and reconnaissance.
Key Features
- Supports MIPI CSI camera interface input, enabling the acquisition of image sensor data;
- Supports BT.1120 digital video interface input, allowing for connection to high-definition digital video sources;
- Provides serial communication capabilities;
- Provides network communication capabilities;
- Features a built-in AI inference runtime environment with a triple-core architecture and 6 TOPS of computing power, supporting various data precisions including INT4, INT8, INT16, FP16, BF16, and TF32;
- Supports 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 (4 × Cortex-A76 + 4 × 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 |
| Expand Storage | Standard SD card slot, supports up to 128GB. |
| RAM | 8GB LPDDR4X |
| Built-in Storage | 64GB eMMC |
| High-Speed Interface | Supports PCIe 3.0 / PCIe 2.0 / SATA 3.0 / Type-C / USB 3.1 / USB 2.0 |
| Multimedia | Supports H.265/H.264/AV1/VP9/AVS2 video decoding, up to 8K at 60 FPS Supports H.264/H.265 video encoding, up to 8K at 30 FPS |
Hardware Interfaces
| Interface | Specifications | Description |
|---|---|---|
| Power Supply | DC 12V ±1V | Max current: 2.5A; typical: ~1.5A; micro-rectangular connector |
| Video Input | 2× SDI | 3G-SDI, HD-SDI; up to 1920×1080@60fps; SMA RF connectors |
| Video Input | 1 × CameraLink | 1x Full or 2x Base; max 1280x1024@100fps; SDR26 connectors |
| Video Input | 2× MIPI CSI | Two 4-lane MIPI CSI interfaces; micro-coaxial connectors |
| Video Output | 2× Ethernet Ports | Gigabit auto-negotiating Ethernet; RJ45 interfaces |
| USB | 1 × USB 3.0 | Type-C |
| Serial Port | 6 × RS422 | 6-Channel 310B RS422 Serial Port |
| Serial Port | 4× RS422 | 4-Channel FPGA RS422 Serial Port |
| Serial Port | 2 × UART | Reuse 2 of the 6 310B RS422 serial ports |
Board Specifications
Installation dimensions (for reference): diameter 70 mm, height 17.2 mm (excluding connectors). A schematic diagram of the 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
Driver Software
All core peripheral drivers have been adapted and verified on the openEuler operating system. Users can conduct application-layer development using standard system calls without complex underlying driver concerns.
- Core Processor Driver: Complete adaptation of Ascend 310B system drivers including power management, clock management, and interrupt control
- Video Input Drivers: Adapted SDI, CameraLink, and MIPI CSI interfaces with stable acquisition and processing capabilities
- Network Interface Driver: Adaptive Gigabit Ethernet supporting network video streaming and remote command control
- Communication Interface Drivers: Adapted UART, I2C, and GPIO interfaces for external device control and data interaction
Video Capture
The board integrates three types of video input interfaces to meet different sensor connectivity requirements:
- SDI: Provides standard V4L2 interface for image frame data acquisition
- CameraLink: Supports high-speed industrial camera video data input with frame grabber SDK
- MIPI: Provides standard V4L2 device nodes for video capture and image data acquisition
Algorithm Deployment
Leveraging the CANN intelligent heterogeneous computing architecture, the board delivers highly efficient and stable inference capabilities supporting mainstream AI frameworks including MindSpore, PyTorch, PaddlePaddle, and TensorFlow with MindX application enablement components.
The platform efficiently handles vision tasks such as target detection, object classification, and target tracking, providing comprehensive AI inference runtime environment and development interfaces.
Sample algorithm running projects for reference:
- Target Detection: Deployment example based on YOLO series models for real-time video stream analysis
- Target Tracking: Integrated tracking algorithm examples for closed-loop control based on miss distance data
- Video Stream Integration: Complete video AI processing pipeline with real-time OSD results visualization
Note: Examples are for engineering implementation reference only; we are not responsible for the performance or efficacy of the algorithms themselves.
Product Delivery Checklist
| NO. | Substance | QTY |
|---|---|---|
| 1 | Image Processing Card | 1 set |
| 2 | Heat Sink | 1 pcs |
| 3 | Power Cable | 1 set |
| 4 | Video Input (SDI) Cable | 2 pcs |
| 5 | Video Input (MIPI) Cable | 2 pcs |
| 6 | Video Output (Network) Cable | 1 pcs |
| 7 | RS422 Serial Cable | 1 pce |
| 8 | External Sync Cable | 1 pcs |
| 9 | User Manual | 1 |
| 10 | Certificate of Conformity | 1 |
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