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.
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