Based on computer vision and AI, I implemented the launch of car charging in the ECOFACTOR app.
Script properties:
- After connecting the car to the charging station, the user specifies the time after which the car charging should begin.
- The script processes errors that may occur during the charging start process.
Technologies and modules used:
Computer vision – interface recognition through cv2, mss.tools, numpy.
GUI automation – window management and key presses through pyautogui, pygetwindow, pywinauto.
System integration – process launching and interaction with the OS through subprocess, win32api, win32con.
Machine learning and artificial intelligence: TensorFlow, PyTorch, Scikit-learn.
Script properties:
- After connecting the car to the charging station, the user specifies the time after which the car charging should begin.
- The script processes errors that may occur during the charging start process.
Technologies and modules used:
Computer vision – interface recognition through cv2, mss.tools, numpy.
GUI automation – window management and key presses through pyautogui, pygetwindow, pywinauto.
System integration – process launching and interaction with the OS through subprocess, win32api, win32con.
Machine learning and artificial intelligence: TensorFlow, PyTorch, Scikit-learn.