55 lines
1.5 KiB
Python
55 lines
1.5 KiB
Python
|
import cv2
|
||
|
import requests
|
||
|
import time
|
||
|
|
||
|
# Set up camera
|
||
|
cap = cv2.VideoCapture(0)
|
||
|
|
||
|
# Initialize variables for motion detection
|
||
|
ret, frame1 = cap.read()
|
||
|
ret, frame2 = cap.read()
|
||
|
|
||
|
# URL for ntfy.sh
|
||
|
ntfy_url = "ntfy.sh/K3R3wHq4w9mwcwNd"
|
||
|
|
||
|
def send_notification():
|
||
|
payload = {
|
||
|
'title': 'Motion Detected',
|
||
|
'message': 'Motion detected by Raspberry Pi camera!',
|
||
|
'priority': 'high'
|
||
|
}
|
||
|
try:
|
||
|
response = requests.post(ntfy_url, json=payload)
|
||
|
if response.status_code == 200:
|
||
|
print("Notification sent successfully.")
|
||
|
else:
|
||
|
print("Failed to send notification.")
|
||
|
except Exception as e:
|
||
|
print(f"An error occurred: {e}")
|
||
|
|
||
|
while cap.isOpened():
|
||
|
# Compute difference between two frames
|
||
|
diff = cv2.absdiff(frame1, frame2)
|
||
|
gray = cv2.cvtColor(diff, cv2.COLOR_BGR2GRAY)
|
||
|
blur = cv2.GaussianBlur(gray, (5, 5), 0)
|
||
|
_, thresh = cv2.threshold(blur, 20, 255, cv2.THRESH_BINARY)
|
||
|
dilated = cv2.dilate(thresh, None, iterations=3)
|
||
|
contours, _ = cv2.findContours(dilated, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)
|
||
|
|
||
|
for contour in contours:
|
||
|
if cv2.contourArea(contour) < 5000:
|
||
|
continue
|
||
|
send_notification()
|
||
|
time.sleep(10) # Wait for 10 seconds before sending another notification
|
||
|
|
||
|
frame1 = frame2
|
||
|
ret, frame2 = cap.read()
|
||
|
|
||
|
# Press 'q' to exit the loop
|
||
|
if cv2.waitKey(10) & 0xFF == ord('q'):
|
||
|
break
|
||
|
|
||
|
cap.release()
|
||
|
cv2.destroyAllWindows()
|
||
|
|