Automatic number plate recognition (ANPR) with Yolov8 and EasyOCR

Automatic Number plate recognition (ANPR) Using yolov8 and easyocr.

Automatic Number Plate Recognition (ANPR), also known as License Plate Recognition (LPR), is a technology that uses optical character recognition (OCR) to automatically read and interpret license plates on vehicles.

ANPR technology is widely used for various purposes, including:
Traffic Management: Monitoring and managing traffic flow and congestion.
Law Enforcement: Identifying and tracking vehicles of interest, such as stolen cars or those associated with criminal activities.
Parking Management: Enforcing parking regulations and managing parking lots.
Toll Collection: Automating toll booths for efficient and fast collection.
Border Control: Monitoring vehicles at border crossings for security purposes.

[arnavthakur]

Really amazing video. Please keep sharing such a knowledgeable content.

[ashimasingla]

Hello Aarohi
Your channel is very knowledgeable & helpful for all Artificial Intelligence/ Data Scientist Professionals. Stay blessed & keep sharing such a good content.

[zjzzmsp]

Really Amazing video mam, Thank you so much...

[princysoni]

Hey arohi, great video, I want to count distinct number plates and store them in array and return the count, what changes in code I should perform?

[Itskfx]

Is there any way I can save the model's output?... like, if the number plate's 'ABC-123' or something can have it stored in a variable and display it within Python, because I need to store these number plate characters as a string in a dataFrame.

[Blue-fnfj]

great video, can you please tell, how i can change the location where the predicted video file is saved, im getting error in this. thx

[mashokkumarreddy]

Hey Aarohi suppose i want to return text in another module(.py fiile) how i can do that

[remyakarthika]

"Error executing job with overrides:" and
AttributeError: 'Annotator' object has no attribute 'draw'

these errors comes when tried to run this for second image.for the first image the number came.please hepl if anyone knows the bug earlier.

[karthickdhanaraj]

Mam, Can you please tell me how to use webcam for real time input feed for this project

[businessgamerprb]

I always have problem with OCR... I tried 3 different methods... Every time the region of number plate will be properly detected but then when I apply OCR on the cropped images... It just extracts #&((":! +3'srhed'hjhdv₹₹+:"+

This has given me better results than others but still OCR is detecting only about 50 percent characters correct... Idk what might be the issue

[Jondrg]

Hey, but for a real use case you would need a fast and reliable code. So for the real world C would be better right? Thanks for the video and detailed explanations!!

[arazib]

Thank
Is this code capable of recognizing Persian and Arabic license plates? And how can I change it to read these license plates?

[ismail]

Do you know any EasyOCR vs KerasOCR accuracy comparance? Any paper? Nice video btw.

[benguyprk]

I tried your code for my project but it didn't work well with my test video. It didn't read the plates properly. Do you have any ideas for this problem?

Thank you.

[chanc]

hello, please im having an error that says "FileNotFoundError: [WinError 2] The system cannot find the file specified" please can you help me

[arupsankarroy]

Thank u ma'am,
I've been waiting for long time for this type of video..
But here u don't explained the predict_modify.py whole code..

[hemachandhers]

can you provide me the link to your test video mam

[shounakmohanta]

Hello mam can u provide a feature that can help to changes the input videos without Change the path name is the code.

[chandramohan]

Great Video. How can we create file for running it on Android ?

[rishabhbhatnagar]

Running this project on kaggle/google colab