Vehicle Info

About The Project

This is a mobile application for Vehicle Number Plate Detection & Recognition

Places where this app can be used as solution:

• Managing information about car park usage
• Verifying RTO registration of vehicle
• Flexible and automatic entry of vehicle at large events,commercial places etc.
• Effective enforcement of traffic rules

Understanding problem :

• Number plate detection : locating number plate from provided image using image processing
• Extracting text from the detected Number Plate: Extracting alphanumeric characters from cropped license plate using OCR

Solution Approach:

• In our app we can provide image from gallery or capture it using the inbuilt camera
• Selected image is sent to flask backend as URI (HTTP request to backend server)
• Backend detects the respective media and encode the acquired BINARY_CONTENT in a single media file in the same directory.
• Image processing is done using OpenCV functions like imutils, greyscale conversion ,canny edge detection ,contour detection for extracting number plate.
• pytesseract OCR is used for extracting alphanumeric characters from detected number plate.
• Extracted number is sent back to front end (await fetch call)where it is displayed below VAAHAN webview and Copy-to-clipboard option get enabled.

Interface

---

Demo

---

Languages and Tools:

Installation

1. Clone the repo

https://github.com/akshaykhoje/Vehicle-Info.git

2. Move Into Working Directory

cd Vehicle-Info

3. To Setup Backend create a virtual environment using virtualenv

python -m virtualenv <env_name>
source <env_name>/bin/activate

Install all the requirements using pip command requirements.txt

pip install -r requirements.txt

4. To Setup Frontend run command

npm install

5. Run the Project

expo start

cd backend
flask run -h 192.168.31.108

6. You can run it on your android emulator OR using expo app to use this project

Mentor

Asst. Prof. Vaibhav Khatavkar

Authors

• @akshaykhoje
• @ManasKulkarniGit
• @Mayur2506