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Item type:Item, Smart Pet Care(2026-01-10) Baradee, Nidal; Bahar, Mohammad; Radwan TahboubCats require regular care and attention, including timely provision of food and water, which can be challenging for owners especially when they are away for long periods — often leading to concern about the pet's well-being. In this project, meals are scheduled based on data entered by the owner through a mobile application and are automatically dispensed using a Real-Time Clock. The device fills the food bowl according to the cat's predefined feeding schedule, making the feeding process more convenient and reducing the owner's burden. The system also includes an automated water supply to ensure proper hydration. In addition, a water drainage system is implemented and used when needed to clean the water bowl from impurities or accumulated debris, helping to maintain hygiene and water quality. To promote physical activity, a laser play feature is integrated into the system. Live video monitoring is enabled through an onboard camera, allowing the owner to remotely observe the pet at any time. After providing global access via a render server, a security layer was added to block unauthorized viewing of the camera stream. The system uses One-Time Password (OTP) verification along with short-lived JSON Web Token (JWT) sessions and session revocation support, ensuring that only the authorized owner can access the live feed and device functions, even if the stream link is obtained directly. Furthermore, the system integrates a lightweight rule-based AI assistant implemented with Firebase Cloud Functions. Results and validation: the hardware prototype and the mobile application were fully implemented and integrated, and the complete system was tested in real usage scenarios; the scheduled feeding, automated water management (refill/drain), laser activity feature, and secured camera access operated successfully as intended, confirming the feasibility and reliability of the proposed solution. Overall, the project introduces complete solution integrating feeding, hydration, water management, entertainment, and secure camera monitoring to ensure pet comfort and owner confidence.Item type:Item, Smart Safety Helmet for Workers(2025-08-01) Darabee, Karam; Abu Asaad, Liyanh; Raed ShamasIndustrial workers are frequently exposed to hazardous conditions such as falls, smoke, and harmful gases, which can lead to severe injuries or fatalities if not detected promptly. This project presents the design and implementation of a Smart Safety Helmet System aimed at enhancing worker safety through real-time monitoring and automatic response mechanisms. The proposed system is built around two ESP32 microcontrollers communicating via the ESP-NOW protocol. The helmet unit integrates an MQ2 gas sensor for smoke and gas detection and an MPU6050 sensor for motion, fall detection, and temperature monitoring. Real-time data is displayed on an OLED screen, while detected hazards trigger automatic responses such as activating a ventilation fan or issuing an audible alert using a buzzer. Experimental results demonstrate that the system accurately detects falls and hazardous gas conditions with low latency and reliable wireless communication. The proposed helmet proved to be portable, power-efficient, and suitable for industrial environments. Future enhancements may include cloud connectivity, additional environmental sensors, and improved power optimization techniques.Item type:Item, Prepaid Parking System(2026-05-20) Srur, Omar; Shweiki, Bashar; nasereddin, Waleed; khalid TomiziModern technology has brought significant developments to various sectors and the increasing number of vehicles, the need for smart and efficient parking management solutions has become essential to alleviate congestion and provide a comfortable experience for drivers. The prepaid parking system consists of a set of integrated electronic components aimed at efficiently organizing the reservation and payment process. The system relies on a microcontroller linked to a set of sensors, a screen, and a camera. Payment is made via a coin acceptor or a mobile phone application, which allows the user to reserve a parking space for a specific period of time based on the amount paid. After completing the payment, a quick response (QR) code is displayed on the screen for the user to scan via the mobile phone application. The system also includes an ultrasonic sensor to detect the presence of a vehicle within the parking space. Through the application, the user can reserve a parking space electronically using a Visa card. The application also allows scanning the QR code that appears after payment to activate the reservation. This allows the user to view the remaining parking time and view an interactive map, enabling the user to precisely locate available parking spaces. The application also includes an electronic lock control system for the parking space, allowing the user to open or close it remotely, in addition to a visual map that helps accurately locate the parking space within the area. The system's website provides a dedicated control panel for administrators, enabling them to monitor the system's performance comprehensively and view detailed reports on the most frequently used parking spaces, along with the number of times each space was booked during the month.Item type:Item, Smart and Automated Air Quality Monitoring System for Industrial Facilities Using Machine Learning and Pollution Prediction(2026-01-26) Awawdeh, Qassam Yaser; talahmeh, Zidan nidal; Alfaqeh, Laith awni; Elayan Abu GharbiehThis project presents the design and development of a smart and autonomous system for air quality monitoring and prediction in industrial environments. It aims to address the environmental and health risks resulting from industrial emissions and poor ventilation conditions by integrating sensor-based data acquisition and smart analytical models. It gathers real-time environmental information and transmits this to a central processing unit wirelessly, where pollution trends are predicted and processed using machine learning algorithms. It operates air purification and ventilation automatically, according to predictions, to provide safe and sustainable working conditions. A dashboard offers simple monitoring, remote control, and instant alarms for more-than-safe air quality. The prototype created demonstrates the potential of combining smart sensing and data-driven prediction to aid in enhanced air quality control, energy conservation, and occupational safety in factory plants.Item type:Item, LiPass(2026-06-01) A.Areda, Ayed; Qashqesh, Mohammed; Raai, Amro; Rafat JuneideLiPass is a secure and contactless door access control system that combines mobile-based facial biometric authentication with Light Fidelity (Li-Fi) communication to address the security and privacy limitations of traditional access control methods. Facial embeddings are generated locally on the user's smartphone using TensorFlow Lite and the FaceNet model, while biometric verification is performed exclusively on the backend server. Biometric data is transmitted only during enrollment using secure HTTPS/TLS channels, encrypted with AES-128-GCM, and stored securely in the cloud. During authentication, biometric data is decrypted only in volatile memory and immediately erased after verification. LiPass employs a multi-factor authentication model based on user credentials, facial recognition, and a smartphone-based Li-Fi authentication signal. A short-lived authentication token is generated by the backend server, transmitted optically via the smartphone flashlight, and validated by a Raspberry Pi-based door unit to unlock the door. Experimental evaluation demonstrates reliable operation and an average authentication time of approximately five seconds.