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NEXA BOARD
ABDULQADER WADDAH           OSAMA AMMAR


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TABLE OF CONTENTS
INTRODUCTION AND OVERVIEW
PROBLEM
PROJECT OBJECTIVES
HARDWARE COMPONENTS.
COMMUNICATION AND DATA FLOW.
FUTURE WORK
CHALLENGES
CONCLUSION


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INTRODUCTION

In recent years, educational technologies have advanced rapidly, creating a need for smarter and more efficient classroom tools. Although whiteboards are still widely used, manual writing and drawing can be time-consuming and difficult to document.
To address this issue, our project introduces Nexa Board, an intelligent CNC-based automated whiteboard system. The system is designed to automatically write, draw, erase, and capture board content. It integrates a web-based platform, remote control functionality, and a secure authentication mechanism to ensure ease of use and safe operation.
Nexa Board provides a practical and cost-effective alternative to smart boards while enhancing teaching efficiency and supporting modern learning environments.





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PROBLEM STATEMENT
01
PHYSICAL EFFORT
 AND TIME
Handwriting, drawing, and erasing boards consume a lot of time and effort from the teacher.


02
HIGH COST
Commercial "smart panels" are expensive and require a special infrastructure.


03
INABILITY TO SAVE AND RETRIEVE CONTENT
There is no automatic way to save or retrieve handwritten content on a traditional blackboard, making it difficult to review previous lessons later.







1
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PROJECT OBJECTIVES
Automate writing and drawing on whiteboards using a CNC-based system.

Enhance teaching efficiency and reduce manual effort for educators.

Offer an affordable, smart educational tool as an alternative to expensive smart boards.

2
3


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HARDWARE COMPONENT






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CONTROLLER BOX
ARDUINO MEGA 
TFT LCD SCREEN
RFID 
KEYPAD







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CONTROLLER BOX
DFPLAYER MINI
SPEAKERS
RGB LED
JUMPER WIRE
SD CARD






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REMOTE CONTROL
ESP32 
OLED SCREN
JOYSTICK
PUSH BUTTONS






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CNC  CONTROLLER
CNC FRAME
WHITE BOARD
TB6600 DRIVER
TB6600 DRIVER


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CNC  CONTROLLER




ARDUINO UNO
SERVO MOTOR
STEPPER MOTOR
POWER SUPPLY




RASPBERRY PI 4 
CONEECTION WIRE
CONNECTORS

JUMPER WIRES


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SYSTEM ARCHITECTURE
RASPBERRY PI 4
CNC CONTROLLER
BOX CONTROLLER
REMOTE CONTROLLER


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 FUTURE WORK



Implementing advanced features such as handwriting recognition, automatic content scheduling, and AI-assisted drawing optimization to make the system more adaptive and intelligent.

INTELLIGENT AND AI-BASED FEATURES
CAMERA SYSTEM ENHANCEMENT
Upgrading the camera module to support higher resolution image capture, better stabilization, and video recording for improved documentation and online learning support.
DRAWING OPTIMIZATION AND PATH PLANNING
Improving image vectorization and toolpath generation algorithms to reduce drawing time, minimize unnecessary movements, and enhance drawing accuracy.


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SOFTWARE COMPONENT

System monitoring dashboard to check device status
Text Mode : write any text with live preview before drawing
Image Upload Mode : upload images and draw them on the board
DRAWING QUEUE MANAGEMENT





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CHALLENGES
Mechanical Stability
Ensuring the CNC frame was rigid enough to prevent vibrations and maintain precision during movement.
01
Multi-Unit Communication
Synchronizing communication between multiple controllers (Arduino Mega, Arduino Uno, Raspberry Pi, ESP32) without delays or data loss
02
Pen Mechanism Design
Creating a reliable automatic pen switcher that could change colors without smudging or misalignment.
03


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THANK
YOU!


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