Automatic Nepali Number Plate Recognition with Sms Reporting System

Automatic Nepali Number Plate Recognition with Sms Reporting System

Team Kyzen

• Khom Raj Thapa Magar
• Keshav Raj Poudel
• Narendra Chand

Abstract

Automatic Number Plate Recognition (ANPR) is one of the most common and effective methods of identifying vehicles in traffic jams and checkpoints. ANPR technology is used to automate checkpoints, weighing points, parking lots, car washes and gas stations, and to control vehicle access to company offices, industrial areas, gated communities, hotels and airport areas. Automatic number/license plate recognition involves extracting license plates from vehicles and labeling them for their basic identifiers.

Problem Statement

Today, the biggest asset that we ever can imagine is time. Time is the thing that can lead us to any success path.

To do:

• Overcome the Traffic Congestion.
• Save the time.

Algorithms Used

• Traffic Prediction
• Traffic Congestion Prediction

Project Features

1. Login Security System

• (Username & Password)

2. Homepage

• Traffic Management System
• Train Photo Samples
• Count Vehicles
• Vehicles Count Report (.csv file & Sqlite database)
• Developer Page(Team Kyzen)
• Help Desk
• Exit System

Snapshots

HomePage

Traffic Management System

Training

Prediction

Applied Methodology

• Artificial Intelligence

•       > Probabilistic reasoning
  

•       > Shallow machine learning
  

•       > Deep machine learning
  

Probabilistic Reasoning

• Fuzzy logic
• Hidden markov model
• Gaussian mixture model
• Bayesian network
• Others: the Kalman Filter(KF), Extended KF(EKF), Hybrid Temporal Association Rules Mining method(HTARM) included DBSCAN and GATAR methods

1. Fuzzy Logic

2. Hidden Markov Model

3. Gaussian mixture model

4. Bayesian Network

5. Others

Shallow Machine Learning

• Artificial neural network
• Regression model
• Decision tree
• Support vector machine

1. Artificial Neural Network

2. Regression Model

3. Decision Tree

4. Support Vector Machine

Deep Machine Learning

• Convolution neural network
• Long short-term memory
• Extreme learning machine

1. Convolution Neural Network

2. Long short-term memory

3. Extreme Learning Machine

Built With

• TensorFlow
• Django
• High-endGPU

Supporting Tools and Technologies

• Python
• OpenCV
• tkinter

Roadmap of our Project

Mindmap of our Project (-)

How are we approaching to do our project?????

Committment