Loading article...
Loading article...
Stream/Area:
-
Subject:
-
Paper ID:
IJSREM44529
Volume:
9 |
4 |
Apr 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Water pollution caused by floating waste is a significant environmental concern, necessitating innovative and sustainable solutions. This project presents the design and development of a solar-powered, real-time IoT based-controlled, 3D-printed robotic boat for efficient scrap collection in water bodies. The boat integrates renewable energy, automation, and additive manufacturing to create an eco-friendly, cost-effective solution for cleaning lakes, rivers, and coastal areas. The robotic boat is powered by solar panels, ensuring continuous operation with minimal reliance on external power sources. A real-time control system is implemented through an IoTbased application, allowing users to maneuver the boat remotely via Bluetooth or Wi-Fi communication. The boat’s structure is 3D-printed, making it lightweight, customizable, and easy to manufacture. The Scrap Collecting Conveyor Belt is an automated system designed to efficiently gather and transport waste materials using IoT-based technology. This project incorporates a Kiwi-IoT board for remote monitoring and control, ensuring smart operation. The conveyor belt mechanism is powered by BO motors and driven by a 12V battery, providing reliable and continuous functionality. The structural framework is fabricated using 3D-printed materials, optimizing weight and durability. The system is mobilized using tiers, enabling smooth movement across different surfaces. The integration of the conveyor belt ensures systematic collection and transportation of scrap materials, making the process more efficient and reducing manual effort. With IoT-enabled features, the system can be monitored and controlled remotely, enhancing operational efficiency and adaptability in various industrial and environmental applications.
KEYWORDS
Publication Date
4/14/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
Documents
Article Views
0
Total views since publication
PDF Downloads
1
Total downloads since publication
Geographic Reach
5
Digital Preservation: This article is permanently archived on Zenodo and complies with all data preservation standards across major indexing platforms.
Plagiarism Screening
This manuscript has been checked for plagiarism using TurnitinPlagiarismChecker software.
Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
Related research in the same subject area
Loading similar articles...