RK3562J Processor Features and Application Scenarios
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RK3562J Processor Features and Application Scenarios

Discover the RK3562J processor' s features, performance, and applications in industrial control, HMI, IoT gateways, multimedia, and edge AI.
Sep 2nd,2025 675 Views

1. Processor Overview

The RK3562J is a mid-to-high-end embedded processor launched by Rockchip, based on a quad-core Arm Cortex-A53 architecture. It targets industrial control, edge computing, and multimedia processing. Known for its cost-effectiveness, low power consumption, and rich peripheral interfaces, it is well-suited for smart terminals, industrial automation, and IoT applications.

The BLIIoT ARMxy industrial PC BL370 adopts the RK3562J processor, supporting multiple I/O expansions and widely used in industrial HMI, gateway devices, smart display terminals, and lightweight edge computing gateways.


2. Key Performance Specifications

Category Specification
CPU 4x Cortex-A53 (up to 1.8GHz)
GPU Mali-G52 MP2 (supports OpenGL ES 3.2/2.0, Vulkan 1.1)
NPU 1 TOPS (supports INT8/INT16, compatible with TensorFlow Lite)
Multimedia - Video: 4K@30 H.265/H.264, 1080p@60 encoding
- Display: HDMI 2.0, LVDS, MIPI-DSI (dual-display support)
- Camera: 2x MIPI-CSI (up to 8MP)
Memory/Storage Supports LPDDR4/LPDDR4X (up to 4GB), eMMC 5.1, SD 3.0
Interfaces - Industrial: 2x Gigabit Ethernet (TSN support), 4x UART, 2x CAN 2.0B
- Expansion: USB 3.0/2.0, PCIe 2.0, SPI/I2C
- Others: PWM, GPIO, ADC
Reliability Industrial temperature range (-40°C ~ +85°C), secure boot and encryption engine

3. Core Features

Balanced Performance and Power

  • Cortex-A53 delivers high efficiency and performance-per-watt, ideal for long-term embedded operation.

  • 1 TOPS NPU enables lightweight AI inference (e.g., face recognition, object detection).

Multimedia Optimization

  • Hardware-accelerated 4K@30 video codec supports smart display and surveillance.

  • Multiple display interfaces (HDMI/LVDS/MIPI) with dual-screen independent output.

Industrial-grade Design

  • Wide temperature operation and anti-interference design for factory automation.

  • Rich industrial interfaces (CAN, TSN Ethernet), compatible with mainstream industrial protocols.


4. Typical Application Scenarios

(1) Industrial Control & HMI

  • Industrial touch panels: Mali-G52 accelerates graphical UI, supports multi-protocol communication (CAN/Ethernet).

  • PLC controllers: Real-time data collection and logic control, combined with NPU for basic quality inspection.

(2) Edge Computing & IoT

  • Smart gateways: Aggregate device data via TSN Ethernet and CAN bus, enabling local lightweight analysis.

  • AI cameras: Run face recognition or abnormal behavior detection with 1 TOPS NPU.

(3) Smart Retail & Commercial Devices

  • Self-service kiosks: 4K advertising playback + touchscreen interaction with fanless low-power design.

  • Digital signage: Dual-display output (main screen ads + secondary info display).

(4) Energy & Transportation

  • Power monitoring terminals: Support RS485/CAN communication with real-time energy reporting.

  • In-vehicle displays: 1080p video output, resistant to vibration and wide temperature ranges.


5. Competitor Comparison (RK3562J vs. Similar Processors)

Feature RK3562J TI AM62x Allwinner T507-H
CPU 4x Cortex-A53 4x Cortex-A53 + Cortex-M4F 4x Cortex-A53
NPU 1 TOPS 0.5–2 TOPS (optional) None
Video Codec 4K@30 H.265/H.264 1080p@60 H.265/H.264 4K@30 H.265/H.264
Industrial I/F CAN 2.0B + TSN Ethernet CAN-FD + PRU-ICSS CAN 2.0B
Display Dual-screen (HDMI/LVDS/MIPI) Dual-screen (LVDS/HDMI) Dual-screen (LVDS/HDMI/RGB)
Power 2–4W <3W 3–5W
Best Fit Industrial HMI + AI lite Real-time control + Edge AI Multimedia + industrial display

6. Advantages and Limitations

Advantages
✅ Comprehensive industrial interfaces (CAN/TSN)
✅ High cost-performance (alternative to NXP/TI)
✅ Balanced multimedia + lightweight AI

Limitations
❌ NPU performance limited; complex AI requires external accelerator
❌ No real-time cores; ultra-low latency control depends on software optimization
❌ Weaker open-source ecosystem, dependent on vendor SDK


7. Conclusion

The RK3562J targets industrial and edge computing markets, with strengths in:

  • Industrial protocol support (CAN/TSN) for device networking and data collection.

  • Lightweight AI + multimedia for intelligent terminal vision tasks.

Recommended Scenarios

  • Industrial HMI, smart gateways, lightweight AI terminals (e.g., security cameras)

  • Cost-sensitive projects (more affordable than TI/NXP solutions)

Not Recommended

  • High-performance AI workloads (≥4 TOPS NPU required)

  • Ultra real-time control (better suited for processors with Cortex-M cores like TI AM62x)

Alternatives

  • Higher AI performance: RK3588 (6 TOPS NPU)

  • Stronger real-time: TI AM62x (PRU-ICSS support)

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