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TRACKED ROBOT EASYBUG3D FOR ARDUINO - Free 3D Print Model - MakerWorld

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Download this free 3D print file designed by MauricioDUARTE.  TRACKET ROBOT EASYBUG3D FOR ARDUINOBONUS: E-BOOK FROM ZERO TO ROBOT ● Exclusive design● Ideal for children to develop mechanical and robotics skills● Easy to build and assemble● 3D printing PLA structure● Screw fixing system● Uses 2x servos SG90 or MG90 modified for 360 degrees DC● Frontal HC-SR04 sensor● Control via Arduino Nano + Shield recommendedDESCRIPTIONEasyBUG3D is a tracked robot kit to be activated and controlled by Arduino. All parts can be made using 3D printing and fixed with screws. It is ideal for children and elementary and middle school students.Comes with assembly manual, connection diagram and control code via Bluetooth app. COMPONENTS NEEDED FOR ASSEMBLY● 2 x rubber sealing ring (rubber O-ring) 100mm x 6mm● 2x servos SG90 or MG90 modified for 360 degrees DC● 1 x Two Motors mini H-Bridge L9110S● 1 x HC-SR04 sensor● 2 x 18650 Battery holder● Arduino Nano + Standard Shield (recommended)● Jumpers● Mini ON / OFF switch● Capacitor 470uF 16v● HC-05 module SCREWS LIST● 6x M4x12mm SCREWS (AA066)● 6x M4x30mm SCREWS (AA070)● 20x M4 NUTS● 18x M4 WASHERS● 12x 2.2x6.5mm self-tapping screws or similar (AA093)● 2x 2.2x9.5mm self-tapping screws or similar (AA192)

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CDU Feedback: “What about wind energy?”

Suggested Reply:

Thank you for the excellent suggestion. Yes, I will add wind power to the energy harvesting system.

Here is the updated plan:

The vehicle will harvest energy from four sources:

1. Solar (via aesthetically camouflaged panels)

2. Wheel rotation (regenerative braking)

3. Suspension vibration (piezoelectric or electromagnetic harvesters)

4. Wind (small, retractable or integrated ducted turbines, placed in low-drag areas such as side vents or wheel wells)

I recognize that wind energy while driving can create drag. Therefore, I plan to:

Activate wind harvesting only during deceleration or parking

Or use flush-mounted, low-profile turbines that minimize aerodynamic penalty

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CDU Feedback: “Sounds repeated, what is new you're offering?”

Suggested Reply:

Thank you for pushing me to clarify. What makes my project new is not just 3D printing, but a modular, customizable system inspired by precast construction.

Here is the innovation:

Customers choose from a library of 10 modular pieces (walls, corners, roof sections, etc.)

Each villa is custom — no two houses need to have the same shape or design

Fast assembly like precast, but with the flexibility of 3D printing to produce non-standard modules on demand

No waste from custom designs — each piece is printed exactly as ordered

Unlike traditional precast (which requires fixed molds) and typical 3D-printed homes (which print one fixed shape on-site), my system offers:

“Pick 10 pieces → We print them → You assemble a custom villa in days”

I will update my abstract to make this modular + customizable aspect much clearer.

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CDU Feedback: “Will the bin automatically send a message to garbage collectors once it's full? Will it have data display?”

Suggested Reply:

Thank you for the thoughtful questions. My current focus is on a low-cost mechanical mechanism that:

Reduces waste collection frequency by compacting trash (increasing bin capacity)

Works with any trash size or shape (bags, bottles, boxes, loose waste)

Enables fast, clean disposal using a simple lever or pedal-operated press, keeping hands away from waste

Regarding your suggestions:

Automatic messaging to collectors → This could be a smart upgrade later (e.g., adding a fullness sensor + wireless alert), but my current version is purely mechanical to keep costs very low.

Data display → Not planned in the basic model, but a simple mechanical fill-level indicator (e.g., colored window) could be added.

The main value I offer is a universal, affordable, clean pressing mechanism for homes and small businesses that cannot afford smart bins.

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CDU Feedback: “I have seen similar projects, how will it work?”

Suggested Reply:

Thank you for the question. My project starts with a simple, low-cost approach using a load cell (weight sensor) to track inventory levels in bins or storage areas. When weight drops below a threshold, it triggers a restock alert.

In a more advanced stage, I plan to integrate camera + AI to identify specific items and quantities visually, reducing the need for manual labeling or barcodes.

The key difference from existing systems is:

Low entry cost (starting with weight sensors only)

Gradual upgrade path to AI vision without replacing hardware

Tailored for small project teams that find existing ERPs too complex or expensive

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Problem Statement:
Traditional construction methods are often slow, expensive, and generate significant material waste, making it difficult to provide affordable and sustainable housing for growing populations. There is a need for a faster, cost-effective, and environmentally friendly solution. This project explores how 3D-printed homes can address these challenges by reducing construction time, minimizing waste, and lowering costs while maintaining structural strength and livability.

Abstract:

This project explores the concept of 3D-printed homes as an innovative solution to modern housing challenges. Traditional construction methods are often time-consuming, costly, and environmentally damaging due to material waste and high energy use. In contrast, 3D printing technology offers a faster, more efficient, and sustainable approach to building homes. This project focuses on designing a model of a 3D-printed house, highlighting its structure, materials, and construction process. It also examines the advantages of this technology, including reduced construction time, lower costs, and minimal waste production. The project aims to demonstrate how 3D-printed homes can contribute to solving housing shortages and promoting eco-friendly construction practices in the future.

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Easily create surveys and polls to collect customer feedback, measure employee satisfaction, and organize team events.

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1. Problem Statement

The main problem with electric cars is "range anxiety" and the need for frequent plug-in charging. Furthermore, many people find current solar-integrated cars unattractive because of the bulky, dark panels on the roof. My project solves this by building a car that charges itself using the sun and the road while maintaining a sleek design. By using MorphoColor-inspired camouflage, we can hide the energy-harvesting system within the car’s body, proving that green technology can be both efficient and visually appealing.

2. Abstract

This project presents a Self-Charging EV Prototype that harvests energy from three sources: solar, wheel rotation, and suspension vibration. A unique feature of this prototype is the Aesthetic Solar Integration. To blend the solar panels into the car's roof, the design uses a semi-transparent camouflage layer. This "Solar Skin" allows the vehicle to capture sunlight without the visual clutter of traditional panels. Combined with Regenerative Suspension and Wheel Generators, this prototype demonstrates a future where cars are "hidden" power plants, recycling every bump and ray of light into usable driving range.

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1. Problem Statement

The main problem with electric cars is that they run out of power and take a long time to charge. Drivers often worry about their battery dying before they find a charging station. Currently, most cars only get power by being plugged into a wall, which isn't always convenient. While driving, a huge amount of energy is wasted through heat, the sun hitting the roof, and the constant bouncing of the car on uneven roads. My project aims to solve this by building a car that can charge itself while it moves. By capturing energy from the sun, the spinning wheels, and even the bumps in the road, we can make a car that stays powered longer and relies less on the traditional power grid.

2. Abstract

This project focuses on building a Self-Charging Electric Vehicle prototype. Most electric cars today are limited because they only get power from an outlet. My goal was to see if a car could stay charged by collecting "wasted" energy from its surroundings.

To do this, the prototype uses three main harvesting systems:

• Solar Panels: These are built into the roof to turn sunlight into electricity.

• Wheel Generators: These capture the spinning motion of the wheels to create power.

• Regenerative Suspension: This system uses electromagnetic induction to turn the up-and-down bouncing of the car on bumpy roads into extra battery power.

I connected these systems to a battery through a control circuit to keep the energy flow steady. The project demonstrates that by recycling motion and light, a vehicle can extend its driving range and reduce its carbon footprint. Even though it still needs a main charge, these self-charging features make the car more independent and better for the environment.

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Breaking- America 🇺🇸 the AI Robots are here. DoorDash is deploying autonomous delivery robots 

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Solar-powered trash compactor bin (CleanCUBE)

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In modern software ecosystems, tools, APIs, and services are often scattered across different platforms, making them difficult to discover, manage, and integrate efficiently. Developers and organizations face challenges such as:

Lack of a centralized registry for tools and services

Difficulty in searching, versioning, and maintaining tools

Inconsistent metadata and documentation standards

Limited interoperability between tools across environments

PrecisionStore aims to solve these issues by providing a universal, standardized registry where tools can be:

Easily registered, discovered, and accessed

Managed with consistent metadata and version control

Integrated seamlessly across different systems and workflows

The goal is to improve efficiency, reliability, and scalability in tool usage and development.

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1. Problem Statement

Street lighting in cities consumes a large amount of electrical energy, while the mechanical energy produced by vehicles moving on roads is usually wasted. This project aims to utilize the pressure generated when vehicles pass over a speed bump. The pressure moves water inside the bump, which drives a dynamo to generate electricity that can help power street lights and reduce energy waste.

2. Abstract

This project proposes a smart speed bump that generates electricity from passing vehicles. The bump contains water covered by a flexible surface instead of solid concrete. When a vehicle passes over it, the pressure pushes the water to the sides, causing a dynamo to rotate and produce electrical energy. The generated energy can be used to operate street lights, providing a simple and sustainable energy solution.

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1. Problem Statement

The main problem with electric cars is that they run out of power and take a long time to charge. Drivers often worry about their battery dying before they find a charging station. Also, most cars have to be plugged into a wall to get power, which isn't always convenient. While driving, a lot of energy is wasted through the spinning wheels and the sun hitting the car. My project aims to solve this by building a car that can charge itself while it moves. By capturing energy from the sun and the wheels, we can make a car that stays powered longer and doesn't have to be plugged in as often.

2. Abstract

This project is about building a simple Self-Charging Electric Vehicle. Most electric cars today only get power from being plugged into an outlet. My goal was to see if a car could collect its own electricity from its surroundings.

To do this, the prototype uses two main parts:

• Solar Panels: These sit on top of the car to turn sunlight into power.

• Wheel Generators: These use the spinning motion of the wheels to create electricity.

I connected these parts to a battery through a special circuit that keeps the power steady. The project shows that the car can use the sun and its own movement to help keep the battery full. Even though it still needs a main charge, these self-charging features help the car drive further and use less energy from the house. This makes the car more "green" and easier to use in places where there are no charging stations.

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This project involves the design and construction of an AI-based smart delivery robot created to automate the transport of small items like medicine and packages. In large buildings such as hospitals or schools, moving items manually can be slow and often takes people away from more important tasks. Our project solves this by using a robot equipped with sensors and AI to navigate corridors and avoid obstacles autonomously. Using a combination of hardware like microcontrollers and software for path planning, the robot can move from one point to another without human help. The goal of this project is to show how a smart, low-cost robot can make deliveries faster, more reliable, and available 24/7, providing a modern solution to everyday logistics problems.

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For our school project, we want to solve the problem of how difficult and slow it is to move small items like medicine or packages across large buildings like hospitals or schools. Right now, people have to stop what they are doing to hand-deliver these items, which wastes a lot of time and can lead to delays or mistakes. By building an AI-based smart delivery robot, we can automate this process so that it can navigate around obstacles on its own and deliver things 24/7. This will make the whole system much faster, reduce the need for manual work, and make sure that important supplies get to the right place exactly when they are needed.

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1.Abdulla Salem Alhosani

2.Falah Saleh Al Messabi

3.Khleefa Ali Mubarak Albreiki

4.Hamed Naser Alblooshi

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Self-Charging Electric Vehicle (EV) Prototype

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Self-Charging Electric Vehicle (EV) Prototype

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1.Mubarak Abdulla Alzaabi

2.Omar Mohamed Almarzooqi

3.Sultan Ibrahim Al-AliMayed

4.Mayed Hamad Ali Sulaiman Al-Ali

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1.Mohammad Ali Alhammadi

2.Abdulla Jaafar Alblooki

3.Mohameed Hani Alhadhrami

4.Harth Omar Alwahedi

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1.Saif Ibrahim Alhosani

2.Hamed Ahmed Alobeidli

2.Sultan Khalid Alsuwaidi

4.Khaled Hamed Alhosani

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1.Ali Obaid Al Mesmari

2.Abdulla Ibrahim Alhosani

3.Khalifa Mohammed Alsaadi

4.Sultan Mohamed Alhosani

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Arduino based Tool Tray for Tool Cabinet

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a website that you can insert videos and check is they are ai or not because a lot of people put fake ai news in the internet and some people have a hard time finding the diffrence between the ai and the real news

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1. Omar Salah Alkindi

2. mohammed saif

3. Mohammed saleh almenhali

4. Abdulla Abdulaziz Almheiri

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Smart Tool Inventory System

Project Idea:
This project aims to develop a smart system to manage and track tools inside a workshop cupboard using AI.

Objective:
To improve organization, reduce tool loss, and increase efficiency in tool management.

Problem:
Tools in workshops are often misplaced, lost, or not returned on time, causing delays and inefficiency.

Solution:
The system will track tools using QR codes or RFID and use AI to detect missing tools, suggest restocking, and optimize tool arrangement.

Tools and Technologies:
• QR Code or RFID system
• Database (e.g., Firebase)
• Mobile app or scanner
• Python (for AI logic)

Methodology:

1. Label each tool with QR/RFID

2. Scan tools when taken or returned

3. Store data in database

4. Analyze usage with AI

Expected Outcome:
An intelligent system that tracks tools in real time, reduces losses, and provides smart suggestions for better workshop management.

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5.

“Key Finder + Tracker (Home Version)”

Problem:

People waste time looking for keys or small items.

Solution:

Press a button → keychain beeps.

How it works:

Remote button triggers buzzer in keychain

Why it stands out:

Super practical

Easy to build but very useful

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4.

“Smart Water Bottle Reminder”

Problem:

People forget to drink water.

Solution:

A bottle that reminds you to stay hydrated.

Features:

Timer-based reminder

LED blinking or vibration

Tracks how much water you drink

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1.

“Don’t Forget Stove” Safety System

Problem:

People forget to turn off the stove/gas after cooking.

Solution:

A small device that detects if the stove is left on too long and alerts you.

How it works:

Heat sensor detects stove temperature

If it stays ON too long → buzzer alarm

Optional: auto shut-off (advanced)

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3. “Classroom Noise Controller System”

Concept:

A device that monitors noise level and gives live visual feedback to control classroom noise.

Unique twist:

• Instead of just measuring sound → it changes behavior

How it works:

• Microphone sensor detects noise level

• LED strip or screen shows:

• Green = quiet

• Yellow = warning

• Red = too loud

Next level idea:

• Automatically lowers lights or plays alert sound

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AI-based delivery robots often struggle with navigation errors and unpredictable human behavior in crowded areas. Harsh weather can also interfere with sensors, while cargo remains vulnerable to theft. To solve this, developers use sensor fusion and advanced algorithms to help the robot better understand its surroundings and respect personal space. Once these technical issues are fixed, these robots are highly effective for transporting medicine in hospitals, providing room service in hotels, and moving goods in warehouses to save time and human effort.

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Project Title: AI-Based Smart Tool Inventory System for Workshop Cupboards

The idea of this project is to create a smart system that helps organize and control tools inside a workshop cupboard. Each tool will have a QR code or RFID tag so it can be tracked when it is taken or returned. The system records all activity in a digital database to know which tools are available or missing. An AI-based feature analyzes how tools are used and gives suggestions such as which tools need restocking or better placement. It can also send alerts if a tool is not returned on time. This system makes tool management easier, more organized, and more efficient.

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Project Title: The Hydro-Kinetic Speed Bump

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Project Title: The Hydro-Kinetic Speed Bump

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Concept: A smart speed bump filled with water instead of concrete. It captures the energy of passing cars to generate electricity.

How it works:

1. Pressure: When a car drives over the bump, it presses the water inside.

2. Movement: The water is pushed to the sides at high speed.

3. Power: This moving water spins a dynamo (generator) to create electricity.

Main Benefit (The Goal):

Street Lighting: The generated energy is used to power street lamps and pathway lights, making the roads self-sufficient and eco-friendly.

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Project Idea:

This project aims to detect when a driver is feeling sleepy and provide an alert.

Objective:

To improve road safety and reduce accidents.

Problem:

Driver fatigue is a major cause of road accidents.

Solution:

The system will monitor eye movement using a camera and alert the driver if signs of drowsiness are detected.

Tools and Technologies:

Python programming language

OpenCV

Methodology:

1. Capture video of driver

2. Track eye movement

3. Detect eye closure duration

4. Trigger alarm if necessary

Expected Outcome:

A system that can detect drowsiness and warn drivers in real time.

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1. Smart Attendance System (Face Recognition)

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1. Smart Attendance System (Face Recognition)

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Project Idea:

This project aims to develop a smart attendance system that uses face recognition technology to automatically record student attendance.

Objective:

To replace manual attendance with an automated and accurate system.

Problem:

Traditional attendance methods take time and can be inaccurate or easily manipulated.

Solution:

The system will use a camera to detect and recognize students’ faces, then automatically mark attendance and store the data.

Tools and Technologies:

Python programming language

OpenCV

Face recognition libraries

Methodology:

1. Capture images using a camera

2. Detect and recognize faces

3. Match faces with stored data

4. Record attendance automatically

Expected Outcome:

A system that can quickly and accurately record attendance without manual input.

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AI-Powered Emotion Detection System (Face and Voice)

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AI-Powered Emotion Detection System (Face and Voice)

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🧠 Project Idea

This project is about creating a system that can detect human emotions using artificial intelligence. The system will analyze facial expressions and voice tone to identify emotions such as happiness, sadness, anger, and neutral.

🎯 Objective

The objective of this project is to design and develop a system that can understand human emotions and improve interaction between humans and computers.

❗ Problem

Computers and digital systems cannot naturally understand human emotions. This makes communication less effective in areas like education, mental health, and customer service.

💡 Solution

The solution is to build an AI-powered system that can detect emotions from:

Face (using a camera)

Voice (using a microphone)

The system will analyze the data and display the detected emotion in real time.

🛠️ Tools and Technologies

Python programming language

OpenCV for image processing

DeepFace for emotion detection

Basic speech recognition libraries for voice input

⚙️ Methodology

1. Capture facial image using a camera

2. Record voice input using a microphone

3. Process the data using AI models

4. Analyze and detect the emotion

5. Display the result on the screen

🧪 Results (Testing)

The system will be tested on different people to check accuracy.

The detected emotions will be compared with actual emotions to evaluate performance.

📊 Expected Outcome

A working system that can:

Detect emotions in real time

Show results clearly

Demonstrate how AI can understand human feelings

🏁 Conclusion

This project shows how artificial intelligence can be used to improve human-computer interaction by making systems more aware of human emotions.

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6. Smart Door Lock with Password

Idea: A keypad-based door lock that opens only with a correct code.

Components:

Arduino

Keypad

Servo motor

This is one of the most common and successful graduation projects.

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In-Scope (What you will do):

Design and 3D model a small-scale vehicle chassis using CAD (AutoCAD/Onshape).

Select and install a primary drive motor and a secondary generator motor.

Build a mechanical transmission (gears or belts) to connect the wheels to the generator.

Create a circuit that uses a voltage regulator to charge the battery while the car is moving.

Test the car to see how much extra battery life the "self-charging" adds.

Out-of-Scope (What you will NOT do):

This is a prototype, not a full-sized car for people to sit in.

It will not use advanced AI or self-driving software (unless you decide to add that later).

It will not be tested on public roads; testing is limited to school labs/indoor tracks.

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1.To design a lightweight and aerodynamic chassis using CAD software

2.To develop a mechanical drivetrain that effectively links the primary drive motor and the secondary generator motor using a system of gears, belts, or pulleys.

To integrate a secondary DC motor (acting as a generator) that converts the kinetic energy of the rotating axles back into electrical energy.

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Current electric vehicles (EVs) face two major challenges: "range" (the fear of running out of power) and long charging times at stationary stations. While regenerative braking exists, most small-scale prototypes do not efficiently recycle kinetic energy back into the battery during steady motion. This project aims to address these limitations by exploring a continuous energy-harvesting system to extend the vehicle's operational life.

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Self-Charging Electric Vehicle (EV) Prototype using Kinetic Energy Recovery.

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Self-Charging Electric Vehicle (EV) Prototype using Kinetic Energy Recovery.

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Self-Charging Electric Vehicle (EV) Prototype

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Self-Charging Electric Vehicle (EV) Prototype

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1.Abdulla Ibrahim Alhosani (615665)

2.Khalifa Mohammed Alsaadi (566709)

3.Abdulla Salem Alhosani (565919)

4.Khleefa Ali Albreiki (570515)

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Sleek delivery robot in hospital corridor

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1. Project Objective:

The goal of this project is to make a small smart robot that can carry things like food, medicine, or small packages. The robot will move by itself and avoid hitting objects using sensors.

2. Project Scope:

In this project, we will build a small robot car that can move on its own and deliver items to a place. It can be used in schools, hospitals, offices, or at home for short distances.

3. Methodology:

First, we will learn how delivery robots work. Then, we will build a small robot car and add a box to carry items. After that, we will add sensors so the robot can detect obstacles. We will program the robot to move, follow a path, and avoid objects. We will test it in different situations and improve it if needed.

4. Required Materials / Equipment:

We will need an Arduino or Raspberry Pi, sensors to detect objects, motors and wheels, a robot body, a battery, and a Bluetooth or Wi-Fi module. We will also use wires, a breadboard, and a small box to carry items.

5. How It Helps Humans:

This robot can carry items instead of people, which saves time and effort. It is helpful in hospitals for delivering medicine. It also reduces human contact and can make work easier.

6. Expected Outcome:

At the end, we will have a small robot that can move by itself, avoid obstacles, and deliver small items successfully.

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Objective: Design a Smart Air-to-Water Tree to produce water from air

Scope: Build a small prototype, test it, and measure output

Methodology: Pull air → cool it (Peltier) → condense → collect water + sensors monitor

Materials: Peltier module, fan, heat sink, power supply, plate, container, sensors, microcontroller, tree frame

Expected Results: Small output, better in high humidity

Conclusion: Simple, smart, eco-friendly water generation

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AI-Based Early Disease Detection System for Remote Communities

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I want to do about the cars:

-Aerodynamics

-Weight Reduction

-Thermal Management

-Regenerative Braking

-Smart Infrastructure