International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 12 Issue: 05 | May 2025
p-ISSN: 2395-0072
www.irjet.net
MediTrack: Intelligent Monitoring for Safe Medical Waste Management Prabhakar1, Ruthik H M2, Sagar A3, Rajesh K4, Rakesh D5 1 Assistant Professor, Dept. of Computer Science & Engineering, CMR University, Bengaluru. 2345 UG Student, Dept. of Computer Science & Engineering, CMR University, Bengaluru .
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Abstract - The improper disposal of medical waste
As healthcare systems continue to evolve in an era of digital transformation, there is a growing need for smart, responsive solutions that can automate key aspects of medical waste handling. Enhancing the ability to monitor, report, and manage waste more accurately and efficiently is essential to promoting safer healthcare environments, reducing environmental impact, and improving overall waste management processes.
continues to pose severe threats to both public health and environmental sustainability, particularly in densely operated healthcare facilities. Traditional waste collection systems often struggle with inefficiencies such as delayed pickups, overflowing bins, and lack of accountability, all of which can lead to hazardous outcomes. In response to these challenges, this project proposes an intelligent, IoT-based waste management system tailored specifically for hospitals and medical centres. By deploying sensors that continuously monitor bin fill levels, the system generates automated alerts when predefined thresholds are reached. Integrated GPS functionality allows real-time location tracking of bins, aiding in efficient waste collection logistics. A centralized platform manages status updates and role-based notifications, enabling hospital staff and waste handlers to stay coordinated and informed throughout the disposal cycle.
The project aims to enhance medical waste management by enabling real-time monitoring of waste levels and ensuring timely collection. It eliminates the reliance on manual checks or fixed schedules, thereby reducing the risk of overflow, contamination, and operational inefficiencies in healthcare facilities. The system also promotes role-based access, enabling communication between hospital staff and collectors. It streamlines logistics by providing optimized routes and centralized status updates through a web platform. The use of scalable, open-source technologies ensures adaptability and affordability, making the solution suitable for various healthcare environments.
This technology-driven approach promotes a cleaner, safer, and more sustainable medical environment by automating routine tasks and improving operational responsiveness. Key Words: Medical Waste Management, Automated Monitoring, Real-Time Alerts, Route Optimization, Web Application, Digital Waste Tracking, Role-Based Access, Healthcare Safety
1. LITERATURE REVIEW The integration of Internet of Things (IoT) technologies into waste management systems has emerged as a key area of research in response to the growing challenges posed by urbanization and increasing waste volumes. Researchers have emphasized the need for intelligent systems that can automate waste detection, sorting, and collection to reduce human intervention and improve operational efficiency.
INTRODUCTION Medical waste management remains a critical challenge in modern healthcare systems due to the hazardous and potentially infectious nature of the waste produced in hospitals, clinics, laboratories, and other medical facilities. This waste often includes contaminated materials such as used syringes, bandages, bodily fluids, pharmaceuticals, and chemical substances that require special handling and timely disposal.
According to Al Mamun et al. [1], IoT-based waste systems can significantly enhance waste segregation and collection by utilizing sensor nodes, microcontrollers, and wireless communication modules to monitor bin status and transmit real-time data to central servers. This allows for timely interventions, optimized route planning, and efficient resource usage.
Improper or delayed disposal of such waste can lead to severe consequences, including the spread of infectious diseases, injury to healthcare workers and waste handlers, and long-term environmental pollution. According to the World Health Organization, nearly 15% of healthcare waste is considered hazardous [1]. Sharma highlight that fixed-schedule waste collection often fails to match actual usage patterns, leading to inefficiencies and risks. As healthcare infrastructure continues to modernize, there is a growing need for smarter, automated systems that can address these gaps [3].
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Zhang and colleagues [2] proposed a cloud-based smart waste monitoring system that leverages sensor data to identify bin fill levels and environmental parameters such as temperature and gas emissions. Their research highlights the role of cloud computing in facilitating scalable and remote monitoring solutions. Similarly, studies by Folianto et al. [3] demonstrated the potential of
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