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This project was built as the final deliverable for our Embedded System course.
Its never fun when you stuck behind the traffic RED light on a crossroad for a long time while there is no car on others roads with GREEN light. So we decide too solve this problem with Smart Traffic Light.
Smart Traffic Light detects the number of vehicles by a camera and if there are more than 6 cars on the street turn on the green light for that road to avoid the traffic.
## -*- coding: utf-8 -*-
import cv2
print(cv2.__version__)
from picamera import PiCamera
import time
camera= PiCamera()
camera.resolution =(860 ,720)
camera.start_preview()
camera.start_recording('vide.h264')
time.sleep(5)
camera.stop_recording()
camera.stop_preview()
cascade_src = 'cars.xml'
video_src = 'vide.h264'
#video_src = 'dataset/video2.avi'
cap = cv2.VideoCapture(video_src)
car_cascade = cv2.CascadeClassifier(cascade_src)
while True:
ret, img = cap.read()
if (type(img) == type(None)):
break
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
cars = car_cascade.detectMultiScale(gray, 1.1, 1)
for (x,y,w,h) in cars:
cv2.rectangle(img,(x,y),(x+w,y+h),(0,0,255),2)
cv2.imshow('video', img)
# print "Found "+str(len(cars))+" car(s)"
cv2.destroyAllWindows()
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