Vehicle License Plate Recognition using Deep Learning Techniques
This project VLPR(Vehicle License PLate Recognition) recognize the License Number of cars in a picture using Deep Learning techniques. It takes input from a camera and sends it to control centre. there we apply Image processing and Deep learning techniques to indentifiy the license number of
2025-06-28 16:36:34 - Adil Khan
Vehicle License Plate Recognition using Deep Learning Techniques
Project Area of Specialization Artificial IntelligenceProject SummaryThis project VLPR(Vehicle License PLate Recognition) recognize the License Number of cars in a picture using Deep Learning techniques.
It takes input from a camera and sends it to control centre. there we apply Image processing and Deep learning techniques to indentifiy the license number of vehicle in picture.
Project ObjectivesThe main objective of this project is to improve vehicle related security with the help of AI. Sytems like this are already in market.We are trying to improve already implemented solution by:
1. Introducing more accurate system (above 80% accuracy in detecting number plate).
2. And to give cost effective solution.
Project Implementation MethodFollowing are the step followed in implementation of this project.
1. Deciding the best Deep Learning algorith for this task.
2. Collecting and prepocessing of dataset.
3. Integrating Picamera with RaspberryPi and connection of on-site module with control center.
4. Training of Neural Network.
5. Implementing Neural Network , Image Processing techniques and testing.
Benefits of the ProjectFollwing are the benefits of this project:
1 This project helps in improving vehicle related security.
2. Low cost.
3. Improved accuracy.
Technical Details of Final DeliverableOur final deliverable will be a complete system which can take picture and recognize license number of vehicles in that picture. Technical details of Final Deliverable includes:
1. An on-site module which will take picture and send it to control center.
2. Control centre where a computer system with gpu, which has a trained network in it will detect number plate from that image recieved.
3. In control center image goes throught thre main step Localization(using CNN), Segmentation(using Digital Image Processing) and Recognition(using DNN).
Final Deliverable of the Project HW/SW integrated systemType of Industry Transportation , Security Technologies Artificial Intelligence(AI), Internet of Things (IoT)Sustainable Development Goals Industry, Innovation and Infrastructure, Sustainable Cities and CommunitiesRequired Resources| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Total in (Rs) | 68000 | |||
| PiCam | Equipment | 1 | 1000 | 1000 |
| RaspberryPi | Equipment | 1 | 7000 | 7000 |
| Nvidia GeForce GTX 1080 | Equipment | 1 | 60000 | 60000 |