Development of IoT-based smart river cleaning system by using microcontroller

Goh, Zhong Ze (2023) Development of IoT-based smart river cleaning system by using microcontroller. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

This project aims to develop an IoT-based smart river cleaning system using microcontrollers. The primary objective is to tackle the growing problem of waste accumulation in rivers, particularly non-biodegradable materials such as plastic, which pose significant environmental risks. The system will collect waste that is unreachable by traditional manual cleaning methods. The collected waste will be safely stored for proper disposal. Furthermore, the system will incorporate safety features to protect river cleaners during the cleaning process. The project's scope encompasses the comprehensive design, development, and optimization of both hardware and software components, ensuring their seamless integration. Testing and performance validation will be conducted to ensure the system's efficiency and effectiveness. The anticipated outcome of this project is a cost-effective, environmentally friendly, and scalable solution that significantly improves the efficiency of river cleaning operations. By developing this IoT-based smart river cleaning system, the project aims to set a foundation for future initiatives in similar water bodies, fostering cleaner and healthier environments.The expected result of this project is a optimized IoT-based smart river cleaning system that effectively reduces plastic waste and other pollutants in rivers, enhances the safety of river cleaners, and efficiently collects waste from hard-to-reach areas. The system will be capable of autonomously collecting floating waste, especially plastic, on the river's surface and in inaccessible areas where manual cleaning is not feasible. It is expected to demonstrate accuracy, consistency, and reliability in waste detection and collection, providing valuable feedback from users. In conclusion, the development of an IoT-based smart river cleaning system using microcontrollers offers a promising solution to combat river pollution and waste accumulation. The integration of sensors and safety features ensures effective waste detection and collection while prioritizing the well-being of river cleaners. The anticipated outcome of this project is a cost-effective, eco-friendly, and scalable solution that significantly improves the efficiency of river cleaning operations. By addressing the challenges posed by waste accumulation in rivers, this project contributes to creating cleaner and healthier environments for both aquatic life and surrounding communities.

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