car_detection

Image_OCR_Text_logic (PyTessaract)

Using PyTessaract and OpenCV to read car's license plate and their speed and then sort them into two (overspeeding/non-overspeeding) from a live video stream in Python.

Packages used in the Project

1. opencv-python
2. numpy
3. requests
4. pytesseract
5. datetime
6. time
7. csv
8. pandas

Initial Setup

1. Numpy package

to convert image byte data to an array

pip install numpy

2. PyTessaract package

to recognize text from the image

pip install pytesseract

3. OpenCV package

to read an image and perform certain image-processing techniques

pip install opencv-python

4. Requests package

to fetch images from the wifi-camera(URL)

pip install requests

5. DateTime package

for logging the current time when a car is detected

pip install DateTime

6. Time package

to calculate the Speed of the car detected (YOLO)

pip install time

7. Pandas package

for cleaning the CSV file data

pip install pandas

9. It would require the URL of a wifi-camera (I installed "IP webcam" from Google PlayStore)

Important

1. If that didn't work then you can try these commands.
2. If there is still a problem then you can install through a .whl file for that particular package. ¹

Test Drive

Code Run:

1. start the camera and change the URL in the "license_speed.py" file in the 'AI' directory.
2. Run the file "license_speed.py" in the 'AI' directory.
3. Run the file "clean.py" in the 'AI' directory.
4. check the output in the "vehicle_details.csv" or "filtered_file.csv" in the 'data' directory.

Website Run:

1. start the camera and change the URL in the "main_web.html" file in the 'website' directory.
2. open website. (run that HTML file)
3. you can change the speed limit of the car. (which is later sorted into two list {overspeeding/non-overspeeding})

Note

1. Remember to perform the initial setup before test-driving.
2. you have to provide a constant video feed to the camera.
3. you can use multimedia to test the code.

Footnotes

1. .whl files are given in the "for_package_installation_error" directory ↩