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AI Box 8K RK3588 Edge Computing Device for AIoT Solutions
- Model No.: Rockchip RK3588 AI Box
- CPU: Rockchip RK3588 Octa-Core ARM, Quad-Core Cortex-A76 and Quad-Ccore Cortex-A55
- GPU: ARM Mali-G610 MC4, Supports OpenGL ES 1.1 / 2.0 / 3.2, OpenCL 2.2, Vulkan 1.2
- NPU: 6 TOPS AI Computing Power;Supports INT4 / INT8 / INT16 / FP16;Compatible with TensorFlow, MXNet, PyTorch, Caffe
- RAM: 2GB LPDDR5 (Optional: 4GB / 8GB / 16GB)
- ROM: 16GB eMMC (Optional: 8GB / 32GB / 64GB / 128GB)
- WiFi: WiFi 5 / WiFi 6, Bluetooth 5.2
- OS: Android 14 and Multi-Language
- Bluetooth: Bluetooth 5.2
AI Box 8K RK3588 Edge Computing Device for AIoT Solutions
| Specifications | ||
|---|---|---|
| Model No. | Rockchip RK3588 AI Box | |
| CPU | Rockchip RK3588 Octa-Core ARM, Quad-Core Cortex-A76 and Quad-Core Cortex-A55 | |
| GPU | ARM Mali-G610 MC4, Supports OpenGL ES 1.1 / 2.0 / 3.2, OpenCL 2.2, Vulkan 1.2 | |
| NPU | 6 TOPS AI Computing Power; Supports INT4 / INT8 / INT16 / FP16; Compatible with TensorFlow, MXNet, PyTorch, Caffe |
|
| RAM | 2GB LPDDR5 (Optional: 4GB / 8GB / 16GB) | |
| ROM | 16GB eMMC (Optional: 8GB / 32GB / 64GB / 128GB) | |
| WiFi | WiFi 5 / WiFi 6 | |
| Bluetooth | Bluetooth 5.2 | |
| OS | Android 14 and Multi-Language | |
| Video & Audio CODEC | ||
| Decoder | H.265 / VP9 / AVS2 up to 8K@60fps; H.264 up to 8K@30fps; AV1 up to 4K@60fps | |
| Encoder | H.264 / H.265 up to 8K@30fps | |
| I/O Port | ||
| Video & Display | HDMI Output | 1*HDMI (female), Supports up to 4K@60fps |
| MIPI DSI | Supports up to 2560*1600@60fps, capacitive touchscreen supported, 6-pin FPC connector | |
| LVDS | Supports up to 1080P Resolution | |
| DisplayPort | 1*DP (shared with USB 3.2 OTG Type-C port, alternative use) | |
| Audio Output | 1*3.5mm headphone jack | |
| ISP | 48MP | |
| Expansion Board (v2.2) | MIC Input | 1*MIC IN, 2-pin connector |
| Speaker | 1*Speaker, 4-pin connector, stereo, 8W*2 | |
| Storage & I/O | SD Card | 1*Micro SD slot |
| USB | 2*USB 3.2 Host (Type-A), 1*USB 3.2 OTG (Type-C) | |
| UART | 1*Debug UART (Type-C) | |
| ADC | 1*ADC Input | |
| Others | 1*RJ45, 1*SPDIF, 1*IR Receiver | |
| LED Indicators | 1*Power LED, 1*System LED, 1*Network LED, 1*User Programmable LED |
|
| Buttons | 1*Reset Button, 1*Recovery Button |
|
| Expansion Interfaces | EXPORT J101 | 2*15-pin headers, supports 4*UART, 2*CAN, I2C |
| EXPORT J102 | 2*15-pin headers, supports 2*USB 2.0, PCIe 2.0, SPI | |
| SYS Expansion | 2*5-pin headers (ADC, VCC, GND) | |
| System Features | Fan | 1*Cooling fan, 5V, 2-pin connector |
| Watchdog | 1*External independent watchdog | |
| PLP | Power Loss Protection, backup time approx. 3-8 seconds | |
| Power Supply | DC Input | 9-36V DC, 3-pin Phoenix terminal |
| Power Connector | 1*5-pin power socket | |
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Key Advantages
- Powerful AI Processing: Integrated 6 TOPS NPU for real-time AI inference
- 8K Ultra HD Support: Advanced decoding and encoding capabilities
- Flexible Expansion: Rich interfaces including PCIe, CAN, UART
- Industrial-Grade Design: Wide voltage input (9–36V) and watchdog support
- Custom OEM/ODM: Hardware and firmware fully customizable
Typical Application Scenarios
- Edge AI Computing: Smart vision, object detection, AI inference
- Digital Signage: 8K media playback and remote management
- Smart Retail: Customer analytics and behavior tracking
- Industrial Control: Automation systems and IoT gateways
- Smart Healthcare: AI-assisted diagnostics terminals
Industry Challenges in Edge AI Deployment
Enterprise demand for AI-driven edge computing is accelerating, yet most deployments still rely heavily on cloud processing. This creates three persistent bottlenecks: latency, bandwidth cost, and data privacy risk. For digital signage, smart retail, and industrial monitoring, delayed decision-making directly reduces system value.
The AI Box category was developed to solve these constraints, but many devices on the market lack sufficient AI compute capability or fail to support deep customization. Standardized hardware limits integration flexibility, while weak NPUs restrict real-time vision and multi-stream processing.
SZTomato addresses these structural gaps with a production-ready AI Box designed for scalable deployment, not consumer-grade experimentation.
Core Advantages of AI Box
High-Performance Edge Intelligence
The SZTomato AI Box is built on Rockchip RK3588, integrating an advanced 8-core CPU architecture with a 6 TOPS NPU. This allows the AI Box to execute local inference tasks such as object detection, facial recognition, and behavioral analytics without cloud dependency.
The integrated GPU ensures smooth 8K multimedia decoding, enabling the AI Box to power next-generation smart signage and interactive display systems simultaneously.
Real-Time AIoT Processing Capability
Unlike conventional media players, this AI Box is engineered for AIoT ecosystems. It supports multi-sensor input processing, enabling real-time data fusion from cameras, IoT nodes, and industrial devices. This positions the AI Box as a central edge intelligence hub rather than a passive playback terminal.
Industrial Stability for Continuous Operation
Designed for 24/7 deployment, the AI Box incorporates thermal optimization and industrial-grade reliability standards. It is suitable for mission-critical environments such as retail analytics networks, smart kiosks, and surveillance-integrated systems.
Technical Highlights of AI Box
Computing Architecture
The AI Box integrates Rockchip RK3588 with:
- Octa-core CPU architecture for parallel workload execution
- 6 TOPS Neural Processing Unit for AI inference acceleration
- Advanced GPU supporting 8K video decoding and rendering
This combination ensures the AI Box can handle simultaneous AI and multimedia workloads without performance degradation.
Memory & Storage Configuration
The AI Box supports scalable DDR and high-speed eMMC/SSD configurations, allowing system integrators to tailor performance based on deployment scale and application complexity.
Connectivity & Expansion
The AI Box is engineered with extensive I/O flexibility:
- Multiple USB and HDMI 2.1 interfaces
- Gigabit Ethernet for stable data transmission
- Optional wireless modules for AIoT integration
- Expandable interfaces for industrial control systems
This ensures the AI Box can be embedded into diverse hardware ecosystems without redesign constraints.
Customization Support (OEM/ODM Advantage)
SZTomato positions the AI Box as a fully customizable engineering platform rather than a fixed product. Our OEM/ODM capabilities include:
- Custom firmware development based on Android/Linux builds
- UI/launcher branding for enterprise deployment
- Hardware tuning (memory, storage, interfaces)
- AI model integration for vertical-specific applications
- Boot logo, system-level branding, and security hardening
For global distributors and solution providers, this makes the AI Box a deployable foundation for proprietary AIoT ecosystems, not a commodity device.
Executive Summary (Reinforced Value Statement)
The SZTomato AI Box 8K RK3588 Edge Computing Device delivers high-performance edge AI processing with 6 TOPS NPU capability, enabling real-time analytics and 8K multimedia output. Built for industrial AIoT applications, it eliminates cloud dependency while ensuring scalability through deep OEM/ODM customization. It is a strategic platform for enterprises building next-generation smart retail, surveillance, and interactive display systems with reliable edge intelligence.
Tel:+86(0755)8266-0069
Contact Person:JoJo
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