kevin810672 / AOISys_RL

Applying RL on the multi-lighting system to formulate the lighting strategy which can make inspection system detect the maximum multiple defects

Requirements

• CCD Contrl (Visual Studio 2012)

  • uEye.h: I utilized IDS uEye camera so that I downloaded the .h file from the iDS website https://www.pixoel.com.tw/download.html and then set the relative parameters of uEye in Visual Studio 2012.
  • OpenCV: to Covert array which obtained by the camera to image. Also need to set the relative parameters of OpenCV in Visual Studio.

• Image Processing and Moniter (Python)

  • OpenCV
  • Numpy
  • matplotlib

• File management and Light Control (Python)

  • serial (RS232)

• Reinforcement Learning (Python)

  • Tensorflow
  • sklearn

Execution

1. run CCDCtrl.exe
2. run main.py in Py file
3. run Moniter.py in Py file to observe the learning process