## 2 Literature Survey
The authors used a combination of data analysis, surveys, and interviews to collect and analyze data on waste generation, collection, and disposal. The results showed that the current waste collection system in the locality was inefficient, with high contamination levels and illegal dumping. The data analysis also presented that community characteristics such as education level, locality, age, and gender have a substantial effect on the household waste collection mechanism. The authors recommend several improvements, such as the implementation of separate collection for organic waste, the use of recycling bins, and education and awareness campaigns to promote sustainable waste management practices. The study provides valuable insights into the challenges and opportunities of household waste collection, highlighting the importance of effective waste management strategies in promoting sustainable development. The analysis of this study holds considerable significance, as it reveals that community involvement is very important for an effective household trash collection system. Some trash collection systems have high development and maintenance costs. The authors in [28] present a new approach to trash collection that involves an automated system that can move around autonomously, detect trash, and collect it. The system consists of a mobile base, a manipulator arm, and a set of sensors, including a camera and a lidar. The paper describes the design and construction of the system and evaluates its performance in simulated and real-world environments. The results demonstrate the feasibility and effectiveness of the proposed approach, which can potentially improve the efficiency and sustainability of trash collection. [PERSON] et al. [29] proposed a waste management system using IoT devices to track waste levels in public and residential bins. The proposed system measures the level of unfilled bins using an ultrasonic sensor, which calculates the ground distance from the bin's surface to get the capacity. It is also used to send location, store data for statistics measurements, and send all of the processed data to the central monitoring station, which give stats about the level of bins. Further, the decision on waste collection will be made based on the bin level. Table 1 provides a concise overview of the various studies in the field of trash management, shedding light on the diversity of approaches used to tackle the different tasks associated with trash collection systems. QR codes have been used in different contexts in previous studies. For example, QR codes have been used for tracking domestic waste segregation [30] or wastebank sorting [31]. Prior studies have primarily focused on the integration of technology and IoT in various aspects of waste management, including garbage collection, waste segregation, and recycling. In contrast, our holistic approach not only leverages technology but also fosters community participation, resulting in elevated recycling rates, cost reductions, and the implementation of more sustainable waste management practices. Furthermore, the utilization of QR codes enhances community engagement in waste management and provides real-time data for informed decision-making.