Computer Engineering / Hardware

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https://hdl.handle.net/20.500.11888/10126

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    Ka-Chow
    (2024) Amna Othman; Hadeel Darawsha
    Project Ka-Chow explores a novel approach to car racing by blending two distinct yet integrated experiences. We’ve built a high-tech system featuring the car with two modes: a self-driving car with autonomous obstacle avoidance and a remote-controlled counterpart. Participants can choose their racing thrill: navigate a challenging track through the car’s independent decision- making in self-driving mode, or take the wheel (remotely) and engage in a dynamic, hands-on experience, The remote control comes in two shapes: a PlayStation controller and a custom design created with the App- Inventor program. The Project Ka-Chow system enhances the racing experience through an immersive environment that includes real-time race updates, dynamic LED lighting, pulsating music, and a timer that determines the winner. The system also includes a camera that shows the race and streams it to a laptop or mobile app. This allows participants to watch the race from different perspectives and share it with others, The system also includes a smart gate that opens when it senses a car in front of it. The car then enters the gate. At the end of the race, there is a simple parking area where the car can be parked. The car then stops and ends the race. What is Ka-Chow? The phrase ”Ka-chow” is a made-up onomatopoeia that is used to represent the sound of a car accelerating. It is first used by Lightning McQueen in the 2006 film Cars, and it quickly becomes his signature catchphrase. McQueen uses ”Ka-chow” in a variety of contexts. He might use it to express excitement, like when he is about to race. He might use it to express determination, like when he is facing a challenge. Or, he might use it to express his competitive spirit, like when he is winning a race.
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    Desk-Mate
    (2025) Abdulrahman Shashtari; Mohammad Wahbeh
    This project presents a Self-Balancing Pet Desk Robot, an interactive and intel- ligent robot designed for desktop environments. The robot is designed to be a pet-like companion that brings you comfort and keeps you company. The robot moves on two wheels and use edge detection to prevent falling off desk ta- ble, also it has multiple interactive features, including an AI-powered voice assistant that processes voice commands via a microphone and responds accordingly. The robot can speak through a built in speaker. The robot expresses emotions through an OLED screen that displays dynamic eye animations. The Robot also reacts to physical inter- actions like when hitting or tapping his head he stops the movement and behave well, and show happiness when patted. Also, as a functional assistant, it includes a built-in flashlight, allowing it to act as a table lamp wen requested. In addition, the robot is accessible via a WebSocket based web app that’s optimized for mobile devices, offering multiple control modes. In Remote Mode, you can drive and move the robot manually. In Desk Mode the robot can move or stay calm on your desk. By combining robotics, artificial intelligence, and emotional expressions, mobile connec- tivity, the Pet Desk Robot serves as both a companion and a functional desk assistant.
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    The Art of Gypsum
    (2025) umana Saif; Jullnar Alhajja
    In recent years, handicrafts have become more popular, and many people have started working with gypsum to make decorative molds and artistic designs. To make this process easier and faster, we decided to design a machine that helps in producing gypsum molds with different shapes and colors. Our project focuses on preparing gypsum mixtures from basic ingredients: water, gypsum, and colors. The process begins by adding water first, then gypsum, and mixing them well. After that, colors are added to the mixture, where the user can choose any color using RGB control, or even create marble-like effects by blending two colors together. Once the mixture is ready, it is poured into molds (with the ability to work on two molds at the same time) and then dried inside the machine until it is ready for use. This project supports small-scale craft makers and home-based businesses by providing an automatic way to produce decorative gypsum molds. While handmade gypsum products are becoming more common, our system makes the work simpler, faster, and more creative by allowing different designs and color options.
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    Color mixer and painting Machine
    (2025) Gharam Hussein; Lana Hasan
    This project details the development of a color mixing and object painting machine, This automated system addresses the limitations of traditional manual painting methods by offering a streamlined and user-friendly solution for achieving consistent and high quality results. The machine integrates two key functional components: a color mixing module and a precise object painting mechanism. The color mixing module enables users to specify desired colors through two convenient methods: direct entry of RGB values for exacting control, or selection via Bluetooth connectivity from a dedicated mobile application. the machine guarantees accurate and repeatable color blending, minimizing waste and ensuring color consistency across multiple projects. Furthermore, the system offers adjustable paint quantity selection (small, medium) to optimize material usage based on the size of the object to be painted. The second component, the object painting mechanism, utilizes specialized spray and a programmable motion control system to apply paint evenly and uniformly. This system ensures optimal coverage, reduces drips. This automated painting process minimizes human error, reduces VOC emissions through efficient paint application, and enhances worker safety. This comprehensive system holds significant potential for a wide range of applications, including but not limited to: rapid prototyping, art and design projects, educational demonstrations, and small-scale manufacturing. By automating the color mixing and painting processes, this machine significantly improves productivity, reduces material waste, enhances user convenience, and delivers consistently superior results compared to traditional manual techniques.
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    RoboMealMate: Innovating Restaurant Service Hospitality with AI (Artificial Intelligence)
    (2025) Osama Mansour; Ahmad Rasheed
    The RoboMealMate project is designed to harness the technological revolution in artificial intelligence and robotics in restaurant automation, customer service, and smart hospitality. The project aims to enhance customer service efficiency, reduce operational costs, and provide customers with a unique experience. The robot will serve as a waiter. It will navigate autonomously in restaurant environments, interacting with customers, taking orders, and conversing with them. • Importance aspects to cover: 1. Robot interaction: implement a friendly design that seamlessly interacts with customers the design will include a screen for signs and emotions and a microphone for speech recognition. 2. Navigation and Obstacle Avoidance: implement LiDAR-based SLAM (Simultaneous Localization and Mapping) and image processing for accurate movement and obstacle avoidance. 3. AI: using speech recognition, order processing, and image-based learning to enhance adaptability and add human-like behavior. 4. Safety and reliability: ensure that the robot is secure for restaurant environments, especially crowded environments by choosing the right components, sensors, and design that is compatible with the work environment. • Objectives: 1. Enhance customer service. 2. Increase productivity and accuracy in the work environment. 3. Reduce operational costs. 4. Harnessing of AI and robotics revolution in serving people and RoboMealMate is just the beginning. • Methodology: 1. Hardware process: Create a design for the robot body, then set up and connect the components, such as the Raspberry Pi, Arduino Mega, sensors(LiDAR, ultrasonic, etc.), camera, Screen, motors, and power supplies. Make sure that all components are connected correctly. 2. Software process: In this process, we will implement the algorithms for AI parts like OpenAI API, speech-to-text and text-to-speech APIs, image processing, LiDAR-base SLAM, ...etc. 3. Testing and debugging process: Test the robot in different situations, ensure that the functionalities are working correctly, and handle the errors. • Similar Projects: While other restaurant robots exist, such as Pepper and Bear Robotics’ Servi, RoboMealMate aims to stand out by incorporating advanced AI for interactive communication, adaptable learning, and seamless integration in small to medium- sized restaurant spaces.