licence-plate-detection

In recent years, licence plate detection has been one of the useful approaches for vehicle surveillance.In this project, I will use use YOLOV5 model to detect number plate from a frame

Functionality

1. Break video into frames, if not image
2. Detect car and number plate from frames using api based on yolov5
	2.a Functionality of api:
		2.a.1. Takes image as request
		2.a.2. Make prediction to detect car and number plate 
		2.a.3. Return base64 image and predicted bounding boxes as response
3. Display the results on UI
	Link : 34.93.166.166:5000/licence-plate-detection/

Its Application

Traffic control and the identification of vehicle owners have become a major problem in all countries. Sometimes it becomes difficult to identify a vehicle owner who is breaking the rules of the road and driving too fast. Therefore, it is not possible to catch and punish such kind of people because the traffic personnel might not be able to retrieve the vehicle number of the moving vehicle due to the speed of the vehicle. So to solve these types of problems we need to create a Licence Plate Detection System.

Following are the steps to use this repository

1. git clone https://github.com/mohammadnoorulhasan/licence-plate-detection.git
2. cd licence-plate-detection
3. pip install -r requirements.txt
4. python app.py

Once you run the above our API is hosted on X.X.X.X:PORT

5. Open above api server on web browser or alternativily you can use POSTMAN to send request, below is the output from browser

If you want to use this API in your code you can integrate using below

Request end point:
	URL 	:	http://34.93.166.166:5000/licence-plate-detection/image
	Method	:	POST

Request
	type	:	form-data
	key	:	file
	value	:	image-file
	
Respose :
{
	base64 		: its a image converted in base64 format on which bounding box is already drawn
	confidence	: with how much confidence a class is detected
	name		: name of the classes
	object_found	: True/False
	status		: Status from api
	xmax		: X cordinate whear target is found
	xmin		: width of the target from X cordinate
	ymax		: Y cordinate whear target is found
	ymax		: width of the target from Y cordinate
}

6. Once you upload image and select type of response
	a. JSON - It'll return following data in JSON format
		
	b. HTML template - It will redirect to HTML page which contains resulted image

mikelud / licence-plate-detection Goto Github PK