The Rockchip RK3576 is a processor designed for high-end edge computing and industrial AI applications. It adopts an innovative heterogeneous architecture of 4×Cortex-A72 + 4×Cortex-A53 cores, paired with a 6TOPS NPU accelerator. Striking an excellent balance between performance and power efficiency, the chip supports industrial-grade operating temperatures from -40℃ to 105℃, while offering 8K video codec capability. It is an ideal choice for scenarios such as smart manufacturing and smart cities.
Based on this processor, BLIIoT has launched the BL440 Edge Computing Gateway, which features flexible ROM/RAM configurations (up to 16GB + 128GB) and modular I/O design, enabling reliable deployment in harsh industrial environments.
Heterogeneous Computing Architecture:
4×Cortex-A72 @2.2GHz (performance cores)
4×Cortex-A53 @1.8GHz (efficiency cores)
Intelligent task scheduling for dynamic power management
AI Acceleration:
6TOPS NPU with INT4/INT8/FP16 mixed precision
Typical AI performance:
• Face recognition: 240fps @1080p
• Object detection: 50fps @4K
• Semantic segmentation: 30fps @2K
Multimedia Processing:
Video codec:
• Decode: 8K30fps / 4K120fps
• Encode: 4K60fps H.265/H.264
Display interface:
• Dual 4K60 HDMI 2.1 outputs
• Supports HDR10+ / Dolby Vision
Environmental Adaptability:
Passed MIL-STD-810G vibration/shock tests
MTBF >50,000 hours
Surge protection (4kV contact discharge)
Security Features:
Hardware-level TrustZone 2.0 secure enclave
National cryptographic standards SM2/SM3/SM4 acceleration
Secure boot + physical anti-tamper detection
Industrial Vision Inspection:
Supports 16-channel 1080p real-time analysis
Detection accuracy: 99.2% @ defect detection
Response latency: <50ms
Intelligent Transportation Systems:
Vehicle-road collaboration with multi-sensor fusion
Supports 8-channel video structural analysis
Typical power consumption: <15W under full load
Energy IoT:
Aggregates data from 200+ sensors at the edge
Supports 18 protocols including Modbus / OPC UA
Offline data caching ≥72 hours
Hardware Configuration:
Compute unit: RK3576J
Memory: 4GB / 8GB / 16GB LPDDR4X
Storage: 32GB–128GB eMMC + NVMe expansion
Interface Features:
Standard:
• 4×GbE (including 2×TSN)
• 2×CAN-FD
• 4×USB3.2
Optional:
• 5G module (SA/NSA)
• PoE+ power module
Deployment Cases:
Automotive factory: 36 devices networked to control 200+ robots
Smart campus: single node processes 12-channel 4K surveillance video
Wind power monitoring system: stable operation at -30℃
Recommended Use Cases:
✓ Manufacturing quality inspection requiring on-site AI processing
✓ Industrial device gateway with multi-protocol connectivity
✓ High-density video analysis edge nodes
Not Recommended For:
× Autonomous driving requiring >20TOPS compute
× Ultra-low power (<3W) sensor nodes
× FPGA-level real-time signal processing
Note: Actual performance may vary depending on system configuration. For the latest technical details, please refer to Rockchip’s official documentation or contact BLIIoT for customized solution recommendations.
