Solution HICO MIPI Example

This solution is an application which KL520 chip plays as a host chip with connected MIPI camera sensors (host input) for object detection while sending images by a host PC and receiving detection results from it (companion output through USB). Host input and companion output is abbreviated as HICO. You will need to program the SCPU/NCPU firmware to the device first. Then, you can start object detection by running an application at host with Kneron PLUS.

Hardware Requirements

• Kneron KL520 series AI SoC Development Kit

Firmware Preparation

• Run Keil MDK and compile reference design
  Open workspace file [KL520_SDK]/firmware/build/solution_kdp2_hico_mipi/sn52096/proj.uvmpw
  and batch build all the projects.
  Notes: User can edit and debug with Keil MDK for further implementation keil/MDK docs

• Program SCPU/NCPU firmware
  Reference: Jlink programming

  # program fw_scpu.bin and fw_ncpu.bin to the device  
  cd [KL520_SDK]/firmware/utils/JLink_programmer  
  prog_fw_loader_flash-boot.bat 
  
  # follow the instructions to finish JLink programming
  # Note that you may need to substitute '/' for '\' in the path

Software Preparation

• Run example Build and run [kneron_plus]/examples_enterprise/kl520_demo_hico_cam_inference/kl520_demo_hico_cam_inference.cpp, note that -DWITH_OPENCV=ON should be added when running cmake command. You will see the RGB video captured by the camera and and the detection result are streaming on host PC.

  For more details about how to use Kneron PLUS, please start with Kneron Document Center -> Kneron PLUS -C -> Getting Started