Description

Scope of Work for Number Plate Identification System:

Total 12 Days training includes Theory & Practical Sessions:

Day1:

• Architectural overview of Image Processing System

• Hardware Component selection for Designing Image Processing system

• Camera System Fundamentals

Day2:

• Raspberry Pi Introduction

• Linux Operating system set up on raspberry pi

Day3:

• Configuring Operating system for communication with Hardware

• Clock Settings

• SSH Settings

• UART, SPI, I2C Communication set up

• Network Settings

• Camera interfacing to Raspberry pi

Day 4, Day 5 & Day 6:

• Algorithm overview for Image Processing

• How to Select best algorithm for image processing system

• Python package installation and configuration for image processing

• Open cv Fundamentals

• Implementation of Open cv on hardware

• Processing the Image using Open CV & Python/C++.

• Color Tracing implementation

• Number plate localization, Edge Detection, Character segmentation Implementations

• Character recognition method implementation for detecting number plate characters

Day 7 & Day 8:

• Visual Studio Set up for GUI development

• Data communication methods between processing Unit and Database management system

• C# Firmware development for implementing MQTT Client.

• Publish, Subscribe, Security configuration in MQTT

Days 9:

• Communicating with Hardware using C# Firmware

Days 10 & Days 11:

• Making Database in Visual Studio using data collected from Hardware

• Identifying the results and implementing decision making algorithm

Days 12:

• Revision, Q&A Session.