CNN Model to Auto-Detect Vehicle’s Number Plate
2 min readAug 12, 2021
Task Description:
📌 In this task :
👉Create a model that will detect a car in a live stream or video and recognize characters on the number plate of the car.
👉Secondly, it will use the characters and fetch the owner’s information using RTO APIs.
👉Create a Web portal where all this information will be displayed (using HTML, CSS, and JS).
Prerequisite:
- Python and Deep Learning Libraries Installed OR (You can use Google Colab)
- Flask Installed
- Video or Image in which we want to detect the car’s plate and retrieve info
- Basic knowledge of Image Processing
- RTO’s API Key (You can use this API by visiting http://www.regcheck.org.uk/ and creating an account on it)
Objective:
Our Main Objective in this Project is to:
- Detect the Number Plate of a Vehicle from a Video or an Image.
- Crop the Number Plate Region.
- Perform Preprocessing and Segmentation of the Number Plate Image
- Create a Deep Learning Model by using the Dataset.
- Extract the Number and Characters from the Number Plate.
- Use that Numbers to get the vehicle’s Owner Information with RTO’s API.
- At Last, Create a Flask Web App that can perform all the above tasks with easy-to-use UI.
Note: I have used Google Colab to train this model
Video link: 👇🏻👇🏻
Thank you for reading and watching!!!!!