1 The Automated Feline Feeder is a smart cat food dispenser equipped with a built-in camera to ensure security and provide convenient and reliable feeding for cats. This IoT device utilizes existing network infrastructure to remotely regulate feeding times and amounts, ensuring consistent nutrient intake. Notifications are sent to users’ phones after each feeding. By automating the feeding process, the feeder eliminates the need for manual feeding and maintains balanced diets for cats, offering peace of mind to pet owners. The system, powered by a microprocessor, motor, and other hardware and software components, exemplifies how IoT technology can improve the lives of pets and their owners. It introduces a novel approach to pet care technology, combining automated feeding with real-time surveillance. Leveraging the ESP32 microcontroller and the Blynk mobile app, the feeder offers a user-friendly interface for scheduling feedings, adjusting portion sizes, and monitoring cats remotely. Live camera surveillance allows owners to observe their cats’ behaviour during meals. This project addresses gaps in previous studies by providing a holistic solution prioritizing convenience, precise feeding control, and real-time interaction. The Automated Feline Feeder contributes to the advancement of pet care technology, enhancing cat well-being and strengthening the bond between pets and their owners. IR5.0 AUTOMATED FELINE FEEDER:A SMART CAT FOOD DISPENSER WITH CAMERA SURVEILLANCE, RECYCLED WOOD, AND IoT INTEGRATION Penyelia : Sabir Bin Mohd Rani Pelajar : Mohammad Saiful Izham Bin Mohd Yunus 101
1 AUTOMATED IOT HOME SECURITY: ENHANCING SAFETY FOR HOME OWNER WITH BLYNK AND TELEGRAM BOT Penyelia : Sabir Hohd Rani Pelajar : Wilbur Nicholas Nevil The inefficiencies observed in traditional home security systems prompted the need for a revolutionary approach through the implementation of an Internet of Things (IoT) system. The background highlighted the shortcomings of conventional security systems, emphasizing the necessity for an innovative solution. The purpose was clear i.e. to enhance home security and demonstrate the potential of internet-enabled solutions. The method involved integrating vibration sensors and PIR motion sensors, processed by a microcontroller. This IoT system provides users with significantly more information compared to traditional security systems. Rigorous prototyping and simulation ensured the system’s efficiency. The results revealed the superior performance of our IoT solution, maintaining optimal security and outperforming traditional approaches. In conclusion, this research underscores the transformative impact of a more robust and secure system on users’ home security. Moving forward, recommendations include exploring additional sensors that could further enhance the evolution of home security. IR5.0 102
1 In the context of vehicular monitoring systems within educational institutions, the traditional methods, notably reliant on sticker systems, exhibit inefficiencies that hinder security and operational efficacy. This research presents a transformative solution through the development of an AIPowered License Plate Number Recognition System using Raspberry Pi 4. The objective is to replace the outdated sticker system with an advanced, automated identification process tailored for educational settings. The study encompasses multifaceted considerations, including hardware integration, algorithm development, and sustainable material practices. Methodologically, the project navigates from design conceptualization to real-time simulations, leveraging standard AI techniques and specially designed environmental considerations. The system's components, such as the Raspberry Pi 4, LED indicators, servo motor, and a standard USB webcam, synergize to create a robust and efficient solution. This study contributes not only to the enhancement of campus security but also aligns with Sustainable Development Goals, fostering a more secure, efficient, and environmentally responsible educational environment. The results, detailed in subsequent chapters, promise insights into the novel application of AI in vehicular monitoring within educational institutions. 103 REVOLUTIONIZE HOME LIVING WITH A SEAMLESS VR SWITCH AND IoT INTEGRATION, SOLVING MANUAL CONTROL INEFFICIENCIES WITH UNITY SOFTWARE Penyelia : Bernard Fredrerine Pelajar : Mohamad Fakhri Khuzairi Bin Mappanyukki IR5.0
1 In the context of vehicular monitoring systems within educational institutions, the traditional methods, notably reliant on sticker systems, exhibit inefficiencies that hinder security and operational efficacy. This research presents a transformative solution through the development of an AIPowered License Plate Number Recognition System using Raspberry Pi 4. The objective is to replace the outdated sticker system with an advanced, automated identification process tailored for educational settings. The study encompasses multifaceted considerations, including hardware integration, algorithm development, and sustainable material practices. Methodologically, the project navigates from design conceptualization to real-time simulations, leveraging standard AI techniques and specially designed environmental considerations. The system's components, such as the Raspberry Pi 4, LED indicators, servo motor, and a standard USB webcam, synergize to create a robust and efficient solution. This study contributes not only to the enhancement of campus security but also aligns with Sustainable Development Goals, fostering a more secure, efficient, and environmentally responsible educational environment. The results, detailed in subsequent chapters, promise insights into the novel application of AI in vehicular monitoring within educational institutions. 104 REVOLUTIONIZING VEHICLE MONITORING: AI-POWERED LICENSE PLATE RECOGNITION WITH RASPBERRY PI 4 Penyelia : Caroline Dame Siagian Pelajar : Isaiah Xavier Nelson IR5.0