Computer Engineering / Hardware

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

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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.
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    Mojito Maker Pro Machine
    (2024) Malak Jawabreh; Aya Waleed Awwad
    This paper presents a mojito machine that can be controlled by a mobile app or manually via the machine. The machine is designed to be used in the home or in the office. The application allows the person to choose the drink with the flavor he wants and asks him to confirm the order via a message that appears on the application screen. When the machine finishes executing the order, a notification is sent to the customer’s phone. The machine is made of high-quality materials and is designed to be durable and easy to use. It is also environmentally friendly. The machine is a great way to enjoy a refreshing mojito at home or in the office. The machine supports the automatic pouring of the cup using a dispenser cup and the pouring of ice and lemon using a container containing a scroll inside it that allows it to pour smoothly and automatically. We used a mechanism to crush the lemons smoothly and used special pumps with electric valves that control the pouring of syrup and soda. In the last stage, a cover is lowered to the cup automatically.
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    Juice Machine
    (2024) Abdullah Ghassan Sholi; Ala Derar Hamadneh
    The Juice Machine project is an innovative hardware solution designed to automate and optimize the process of juice preparation and packaging. The machine consists of four distinct stages, each meticulously designed to ensure the highest quality of the final product. In the first stage, the juice mixer, different types of juice are combined in user-defined percentages via a sophisticated control unit, allowing for customized juice blends. The second stage involves the thorough mixing of the resulting juice to ensure a consistent flavor and texture. The third stage provides the option for users to add pieces of ice to their juice, enhancing the refreshment factor. The final stage is dedicated to packaging the juice efficiently and hygienically, making it ready for immediate consumption or storage. The Juice Machine project aims to deliver a seamless, user-friendly experience in juice preparation, combining automation with customization to cater to individual preferences.
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    Ras Al-Abed
    (2025) Tala Yaseen; Samaa Yasin
    Abstract Raas Alabed is one of the most popular treats among children and adults, particularly in winter when the industry thrives. Many local factories in Palestine, such as the Al-Arz factory, produce this marshmallow-based, chocolate-coated candy. Its foam-like structure and rich chocolate coating make it a favorite childhood sweet, associated with energy and warmth during the colder months. This project aims to fabricate a production line for Raas Alabed while preserving its traditional taste and cultural significance, particularly in the Levantine region. The goal is to enhance local factories’ capabilities by integrating modern computer technologies into traditional production methods. The project focuses on automating the production process through embedded sys- tems. Key objectives include automating production using sensors and microcontrollers. The methodology involves designing mechanical components, integrating them with electronics, and programming software for automation. While similar systems exist for other chocolate-coated marshmallows, this project is unique in its emphasis on blending Levantine traditional methods with modern technology. The production line consists of four stages. In the first stage, the cream is prepared—whipped, and mixed based on user input (standard or cocoa-flavored). The second stage involves placing the biscuits accurately, followed by dispensing the cream onto them. In the third stage, the melted chocolate is poured to cover the cream completely. The main features of this production line are: • User-controlled customization: The system allows operators to input preferences for cream type (standard or cocoa). • Automated precision: The line is equipped with sensors that ensure accurate biscuit placement and precise dispensing of both cream and chocolate, minimizing human error and increasing efficiency