RK3568 + LINUX + CODESYS with License + Real-time System, Simultaneously Running Your Own Vision Applications

RK3568 + LINUX + CODESYS with License + Real-time System, Simultaneously Running Your Own Vision Applications, allowing you to dedicate some cores to CODESYS and others to custom applications.

An industrial control and vision integration solution built upon the RK3568 processor can be realized through the following technical architecture:

I. Hardware Platform Core Configuration

1. RK3568 Processor: Quad-core Cortex-A55 architecture, main frequency 2.0GHz, integrated Mali-G52 GPU and 1TOPS NPU, supports multi-channel video encoding and decoding 67
2. Real-time System Extension:
   • Solution A: Xenomai3 real-time patch (Linux-RT kernel) achieves real-time performance of <100μs 38
   • Solution B: AMP architecture asymmetric multiprocessing, with some cores running the RT-Thread real-time system 5
3. Vision Processing Acceleration: Running TensorFlow/PyTorch models via NPU, supports 16-channel 1080P video structured analysis 68

II. Software Stack Key Components

1. CODESYS Licensing Scheme:

   • Utilizes CODESYS Control Linux ARM SL runtime, supports IEC 61131-3 standard programming 9
   • Integrates SoftMotion module for multi-axis motion control (CNC/robot) 3
   • Licensing method: Purchase official dongle or cloud license 13

2. Vision Application Development:

   • OpenCV+Python/Qt development framework
   • NPU acceleration solution: RKNN-Toolkit2 model conversion toolchain 6

3. System Resource Allocation:

   textCopy Code

   CPU0-1: CODESYS real-time tasks (priority 99) CPU2: Vision pre-processing (priority 50) CPU3: Business logic processing (priority 30) NPU: Vision model inference

III. Typical Implementation Cases

1. Intelligent Sorting System:
   • CODESYS controls 6-axis robotic arm 3
   • Vision achieves item recognition and positioning (accuracy ±0.1mm) 6
   • Dual Gigabit Ethernet ports for PLC communication and vision data transmission, respectively 6
2. Semiconductor Inspection Equipment:
   • Xenomai3 ensures motion control cycle ≤500μs 8
   • NPU accelerates defect detection algorithm (FPS≥30) 7
   • Connects high-precision industrial camera via FMC interface 7

IV. Performance Optimization Suggestions

1. Kernel Tuning:
   • Disable CPU frequency scaling (performance mode) 10
   • Downclock memory frequency to 1560MHz to reduce latency 10
2. Real-time Assurance:
   • Set CPU affinity to isolate real-time cores 5
   • Utilize PREEMPT_RT patch + priority inheritance 11
3. Vision Processing Optimization:
   • Use zero-copy DMA for image data transfer 7
   • NPU quantizes models to INT8 precision 6

This solution has been validated in fields such as CNC machine tools 3 and intelligent security NVRs 6, with actual tests showing:

• CODESYS task cycle jitter <20μs
• Vision processing latency controlled within 33ms
• Overall system power consumption <15W