BL241 RK3568 EdgePLC AI Programmable Industrial Edge Controller
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The BL241 powered by Rockchip RK3568J/RK3568B2 (quad-core Cortex-A55 up to 2.0GHz), integrated 1TOPS NPU, 4K@60fps H.265/H.264 decode, supports up to 32 N‑series I/O modules, perfect for AI-powered industrial automation, machine vision, AGV/robotics, and smart energy.
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EdgePLC BL241 Series
Industrial AI Edge Controller – Rockchip RK3568, 1TOPS NPU, 4K Video, Real-time Control
Powered by Rockchip RK3568J/RK3568B2 (quad-core Cortex-A55 up to 2.0GHz), integrated 1TOPS NPU, 4K@60fps H.265/H.264 decode, supports up to 32 N-series I/O modules, IGH EtherCAT master, Ubuntu 20.04, Docker, Node-RED, OpenPLC / NexPLC / CODESYS Runtime with motion options, and full AI vision stack (YOLOv5/8 + OpenCV, TensorFlow Lite, PyTorch Mobile). Perfect for AI-powered industrial automation, machine vision, AGV/robotics, and smart energy.
Core Features
1TOPS NPU | Quad-core Cortex-A55 | 4K Video | Industrial reliability
Rockchip RK3568 + 1TOPS NPU
Quad-core ARM Cortex-A55 up to 2.0GHz (RK3568B2) / 1.8GHz (RK3568J)
Integrated 1TOPS NPU – INT8/INT16/FP16/BFP16 support
4K@60fps H.265/H.264 decode, 1080p@60fps H.265/H.264 encode
8/16/32GB eMMC, 1/2/4GB LPDDR4X
Industrial -40°C to +85°C (RK3568J) / wide temp 0~80°C (RK3568B2)
Rich I/O & Distributed Expansion
3× 10/100M Ethernet (BL241A) / 2× 10/100M (BL241)
2× USB 2.0, optional HDMI 2.0 (4K@60fps on BL241A)
Mini PCIe for Wi-Fi/4G/5G, SIM slot, antenna interface
Supports up to 32 N-series I/O modules (DI/DO, AI/AO, RTD, TC, PWM)
2× RS485 or 1× RS485 + 1× CAN2.0B (X91 option)
AI & Industrial Software Ecosystem
Ubuntu 20.04 / EdgePLC-OS (Linux 5.10 + RT)
OpenPLC, NexPLC, CODESYS Runtime (IEC 61131-3)
YOLOv5/8 + OpenCV, TensorFlow Lite, PyTorch Mobile
IGH EtherCAT master, Node-RED, Docker & K3s
BLRAT remote access, QuickConfig, BLIoTLink
Industrial-grade Reliability
ESD level 3, EFT level 3, Surge level 3 (IEC 61000-4)
Wide temperature -20°C to +85°C (industrial) / 0~80°C (wide temp)
DIN35 rail mount, IP30 protection, aluminium + stainless steel
Independent hardware watchdog, reverse polarity protection
Vibration & free fall tested (GB/T 2423)
Key Specifications Snapshot
AI performance meets industrial control
2000
MHz
CPU Max Freq
1
TOPS
NPU Performance
32
+
Max I/O Modules
4
GB
LPDDR4X (max)
Typical Applications
AI-powered control & vision at the edge
AGV / Robotics
Visual navigation, obstacle detection, real-time motion control
Machine Vision
YOLO-based inspection, OCR, defect detection, quality control
Energy Storage (EMS/BMS)
Predictive maintenance, anomaly detection with AI
PV & Inverter Control
Power optimization, AI-powered fault diagnosis
Edge AIoT Gateway
Data fusion, protocol conversion, on-device inference
Rail Transit
Passenger counting, condition monitoring, signal control
Quality & Reliability
Certified for harsh industrial environments
EMC Compliance
GB/T 9254 / CISPR 32 Class A
ESD level 3 (±6kV contact, ±8kV air)
EFT level 3 (power 2kV, signal 1kV)
Surge level 3 (2kV diff, 4kV common)
Environmental Tests
-20°C ~ +85°C operation (industrial grade)
Damp heat 40°C / 85% RH for 48h
Sinusoidal vibration 5-500Hz, 2g
Free fall 0.8m (packaged) / IP30 protection
Software & Support
Preinstalled BLIoTLink, BLRAT, QuickConfig
Ubuntu & kernel source (Linux 5.10 + RT)
Docker & K3s ready, SDK, AI demos (YOLO, OpenCV, TFLite)
Long-term maintenance & professional support
Software Version Options
Choose OpenPLC, NexPLC or CODESYS with motion & full AI stack
Lite Edition
OpenPLC + AI
Ubuntu 20.04 + OpenPLC runtime
IEC 61131-3 (ST, LD, FBD, IL, SFC)
YOLOv5/8 + OpenCV, TensorFlow Lite, PyTorch Mobile
Node-RED, Docker, Python/C++ dev
No CODESYS / motion control
Standard Edition
NexPLC + AI
NexPLC platform (IEC 61131-3)
Cloud-edge collaboration & remote OTA
Built-in BLIoTLink, QuickConfig, BLRAT
Complete AI vision stack + container support
No CODESYS / motion control
Professional Edition
CODESYS SoftMotion / CNC optional
CODESYS Runtime (IEC 61131-3)
SoftMotion or CNC + Robotics options (-SM / -CR)
IGH EtherCAT master, multi-axis control
Full AI stack (YOLO, TF Lite, PyTorch)
Ideal for vision-guided robotics, high-end automation
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