Car driving using hand detection in Python

In this project, we are going to demonstrate how one can drive a car by just detecting hand gestures on the steering wheel. Let’s say the requirement is something like this –

  • If driver wants to start the car then put both of your hands on the steering wheel.
  • If someone having no hands on a steering wheel that means brakes of car will be applied slowly.
  • If one hand is detected on the steering wheel that means he/she can drive the car upto a certain limit due to safety purpose.
  • If someone having both of the hands on the steering wheel that means that he/she can drive at any speed because according to our system you are safe and can safely handle car with both of your hands.

For this project we need to import two Python libraries that is OpenCV and numpy. How to install these two libraries.

1) pip install opencv-python
2) pip install numpy

Below is the implementation :

Code #1:

filter_none

edit
close

play_arrow

link
brightness_4
code

import cv2
import numpy as np
  
cap = cv2.VideoCapture(0)
hand_cascade = cv2.CascadeClassifier('hand.xml')

chevron_right






                        filter_none










Explanation :

We have imported two libraries named opencv and numpy. Then in the next line we use the function VideoCapture(0) of opencv and passed the parameter as 0 because your laptop webcam supports port 0 to use the camera. Now, use the function CascadeClassifier('hand.xml') and pass the xml file as parameter. Store the file of hand.xml in the same directory as of Python file.

 

Code #2 :













                                    filter_none




                                    edit

                                    close




                                    play_arrow




                                    link

                                    brightness_4

                                    code
                                




















count = 0


  


while(True): 


    ret, frame = cap.read() 


    gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY) 


    hands = hand_cascade.detectMultiScale(gray, 1.5, 2) 


    contour = hands 


    contour = np.array(contour) 


  


    if count==0: 


  


        if len(contour)==2: 


            cv2.putText(img=frame, text='Your engine started', 


                        org=(int(100 / 2 - 20), int(100 / 2)), 


                        fontFace=cv2.FONT_HERSHEY_DUPLEX,  


                        fontScale=1, color=(0, 255, 0)) 


                          


            for (x, y, w, h) in hands: 


                cv2.rectangle(frame, (x, y), (x + w, y + h), (0, 255, 0), 2) 


            count += 1


  


    if count>0: 


  


        if len(contour)>=2: 


            cv2.putText(img=frame, text='You can take your car on long drive', 


                        org=(int(100 / 2 - 20), int(100 / 2)), 


                        fontFace=cv2.FONT_HERSHEY_DUPLEX,  


                        fontScale=1, color=(255, 0, 0)) 


                          


            for (x, y, w, h) in hands: 


                cv2.rectangle(frame, (x, y), (x + w, y + h), (0, 255, 0), 2) 


              


  


        elif len(contour)==1: 


            cv2.putText(img=frame, text='You can speed upto 80km/h', 


                        org=(int(100 / 2 - 20), int(100 / 2)), 


                        fontFace=cv2.FONT_HERSHEY_DUPLEX,  


                        fontScale=1, color=(0, 255, 0)) 


                          


            for (x, y, w, h) in hands: 


                cv2.rectangle(frame, (x, y), (x + w, y + h), (0, 255, 0), 2) 


  


        elif len(contour)==0: 


            cv2.putText(img=frame, text='Brake is applied slowly', 


                        org=(int(100 / 2 - 20), int(100 / 2)), 


                        fontFace=cv2.FONT_HERSHEY_DUPLEX,  


                        fontScale=1, color=(0, 0, 255)) 


  


        count += 1


  


cv2.imshow('Driver_frame', frame) 


k = cv2.waitKey(30) & 0xff


if k == 27: 


    break



















                        chevron_right







                        filter_none










Output :

Image

Image

Explanation :

In this code section, we use the counter that can help us to start the car’s engine and after the car starts we use the counting of contours on a steering wheel.


 

GitHub link of the project – Click Here



          
          
          
          

            

    

        My Personal Notes
        arrow_drop_up
    

    

        
        

            
            
        

    


Recommended Posts:
Image
Jitender_1998
Check out this Author's contributed articles.
If you like GeeksforGeeks and would like to contribute, you can also write an article using contribute.geeksforgeeks.org or mail your article to contribute@geeksforgeeks.org. See your article appearing on the GeeksforGeeks main page and help other Geeks.
Please Improve this article if you find anything incorrect by clicking on  the "Improve Article" button below.


      
      
      
      

      

      
					
		

    Article Tags : 
Project
Python

           	
        

         

         
 
                2

                

        



        
        
        
        
        

    

            

            5
            

            

             
                 Based on 2 vote(s)
                    

            
            
            
            
            
        

        
        

        

        

        

        

        

        


Please write to us at contribute@geeksforgeeks.org to report any issue with the above content.