Computer Vision with IoT for an automated vehicle toll system
This project uses the inbulit cv2.ml module to detect the license plate of vehicles. It also uses pytesseract as the OCR engine to extract the text in the detected license plate. A flask encapsulation is provided to ease the usage of the application.
The project was solely built in python 3.6.8 at the time of release. Install the dependencies by running pip install -r requirements.txt.
To upload an image use the following format:
import requests
import cv2
BASE_IP = 'https://mnthnx64-iot.herokuapp.com/'
url = 'post_image'
img = cv2.imread('path_to_image.png')
_, data = cv2.imencode('.jpg',img)
response = requests.post(BASE_IP + url, data=data.tostring())
print(response.json())