We can't find the internet
Attempting to reconnect
Something went wrong!
Hang in there while we get back on track
Development of an IoT-Based Mobile Plastic Shredder for Optimized Waste Management in Batam
AI summary Read the abstract
Researchers designed and built an IoT-based mobile plastic shredding machine controlled by an Arduino microcontroller and monitored via a smartphone app, demonstrating consistent shredding performance with real-time weight sensing and remote control capabilities to improve plastic waste collection efficiency in underserved areas like coastal Batam, Indonesia.
Plastic waste management has become a critical environmental issue, with its improper handling leading to severe ecological and health impacts. This research addresses the challenge by designing and developing an IoT-based mobile plastic shredding machine aimed at improving waste management efficiency, particularly in Batam City, Indonesia. Utilizing Borg and Gall’s R&D framework, this study integrates IoT technology to enhance the machine’s functionality, enabling real-time data collection and remote monitoring through mobile applications. The machine comprises three functional levels: a storage area for raw plastic bottles, a shredding unit with proximity sensors, and a post-shredding storage compartment. Key innovations include weight sensors for automatic material handling and real-time data transmission via the Blynk IoT platform, controlled by an Arduino microcontroller. The modular design ensures portability, easy maintenance, and adaptability for use in various locations, including coastal areas. Prototyping involved integrating proximity sensors, load cells, relays, and motor control systems to ensure smooth operation. The machine demonstrated consistent performance during testing, with its IoT features enabling remote control and monitoring via smartphones. This facilitates optimized waste collection and contributes to reducing environmental pollution caused by plastic waste. The IoT-based mobile plastic shredding machine not only enhances waste management efficiency but also supports sustainability goals. Its portability and environmentally friendly design make it a practical solution for managing plastic waste in underserved areas. This innovation provides a significant step toward addressing the global plastic waste crisis, aligning with technological advancements to promote sustainable waste management practices.
More Papers Like This
Digital transformation of waste banks through IoT-based polystyrene crusher innovation for strengthening the circular economy
AI summary Read the abstract
An IoT-integrated polystyrene crusher deployed at a waste bank in Tejorejo Village increased waste sorting capacity by 45%, shifted the business model to value-added processing, and achieved a 2.7% initial gross income increase for the community. Improving polystyrene processing infrastructure is directly relevant to microplastic pollution, as polystyrene fragmentation is a major pathway for persistent microplastic particles in coastal and aquatic environments.
Development of Plastic Shredder Technology to Support Plastic Waste Reduction
AI summary Read the abstract
Researchers in Indonesia designed and tested an improved plastic shredder machine using specialized rotating blade technology to produce high-precision plastic flakes, aiming to address the country's severe plastic waste crisis that generates approximately 17 million tons of plastic waste annually with only 66% currently recycled.
Ro-Boat: IoT-Based Non-Autonomous Garbage Collector Boat for Organic, Metal, and Non-Metal Waste
AI summary Read the abstract
Researchers developed Ro-Boat, an IoT-based non-autonomous garbage-collecting vessel designed to remove organic, metal, and non-metal waste from rivers, lakes, and coastal waters. The prototype uses sensor-based waste detection and optimised collection mechanisms to address aquatic plastic and debris pollution in operational water body environments.
Golden Seal Project: An IoT-Driven Framework for Marine Litter Monitoring and Public Engagement in Tourist Areas
AI summary Read the abstract
Researchers developed the Golden Seal project, an IoT-driven framework that deploys sensor networks and gamified recycling systems in coastal tourist areas to monitor and reduce marine litter while increasing public engagement with plastic pollution issues.
IoT Based Waste Segregation System for Small and Large-Scale Sectors
AI summary Read the abstract
Researchers proposed an IoT-based automated waste segregation system designed to improve sorting of different waste types, including plastics, at both small and large scales — potentially reducing the amount of plastic that breaks down into harmful microplastics in the environment.
Research digests by email
When a large batch of papers lands in the Atlas, we read through it and send a short write-up of what stood out.