├── README.md
└── camera_tampering_detection.py


/README.md:
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1 | # Camera Tampering Detection using Python
2 | Camera Tampering Detection using Python
3 | 
4 | Modify the path to video filename in the camera_tampering_detection.py file
5 | 
6 | ## Then run camera_tampering_detection.py using:
7 | python camera_tampering_detection.py
8 | 


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/camera_tampering_detection.py:
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 1 | 
 2 | # coding: utf-8
 3 | 
 4 | # In[5]:
 5 | 
 6 | 
 7 | import numpy as np
 8 | import cv2
 9 | cap = cv2.VideoCapture('path to the video file')
10 | fgbg = cv2.createBackgroundSubtractorMOG2()
11 | ret, frame = cap.read()
12 | fgmask = fgbg.apply(frame)
13 | kernel = np.ones((5,5), np.uint8) 
14 | while(True):
15 |     ret, frame = cap.read()
16 |     if(frame is None):
17 |         print("End of frame")
18 |         break;
19 |     else:
20 |         a = 0
21 |         bounding_rect = []
22 |         fgmask = fgbg.apply(frame)
23 |         fgmask= cv2.erode(fgmask, kernel, iterations=5) 
24 |         fgmask = cv2.dilate(fgmask, kernel, iterations = 5)
25 |         cv2.imshow('frame',frame)
26 |         _,contours,_ = cv2.findContours(fgmask,cv2.RETR_TREE,cv2.CHAIN_APPROX_SIMPLE)
27 |         for i in range(0,len(contours)):
28 |             bounding_rect.append(cv2.boundingRect(contours[i]))
29 |         for i in range(0,len(contours)):
30 |             if bounding_rect[i][2] >=40 or bounding_rect[i][3] >= 40:
31 |                 a = a+(bounding_rect[i][2])*bounding_rect[i][3]
32 |             if(a >=int(frame.shape[0])*int(frame.shape[1])/3):
33 |                 cv2.putText(frame,"TAMPERING DETECTED",(5,30),cv2.FONT_HERSHEY_SIMPLEX,1,(0,255,255),2)   
34 |             cv2.imshow('frame',frame)        
35 |                
36 |     k = cv2.waitKey(30) & 0xff
37 |     if k == 27:
38 |         break
39 | cap.release()
40 | cv2.destroyAllWindows()
41 | 
42 | 


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