AI-Enhanced IoT for Real-Time Urban Waste Management

1. Introduction

The amount of waste produced daily by industries and households is increasing alarmingly. The growing consumption of packaged items, textiles, paper, food, plastics, metals, glass, and more is a significant contributor to this rise. Effective waste management has thus become essential in our daily lives. While many developed countries have efficient waste management systems, numerous developing nations face challenges [1]. Issues like public indifference to clean surroundings, a lack of strict laws promoting biodegradable materials, inadequate environmental policies, and limited focus on sustainable development are significant obstacles, often leading to poor waste management practices with serious consequences [2].

The growing volume of waste often results in overflowing public bins, littered streets, and unsanitary conditions that harm health and the environment. Managing waste has become a critical issue requiring smart solutions. Many households attempt to segregate waste to facilitate processing and recycling, but irregular trash collection disrupts this system. As a result, people often resort to dumping trash in open spaces, worsening environmental pollution. Waste becomes a health hazard, serving as a breeding ground for bacteria, insects, flies, and other pests [3]. These pests spread diseases like food poisoning, typhoid, gastroenteritis, malaria, and dengue. Additionally, stray animals attracted by garbage can transmit various illnesses while releasing toxic gases like CO2, methane, and nitrous oxide, contributing to air and water pollution and further harming human health and the environment [4].

Overflowing garbage also negatively impacts public spaces, making them unsightly and deterring tourists. Clean cities are attractive and promote economic growth, while unclean, malodorous cities lose tourism revenue and related opportunities [5]. In India alone, over 62 million tons of garbage are generated annually by 377 million urban residents, making it the world's third-largest waste generator. However, the primary issue isn't the quantity of waste but rather that over 45 million tons of it remain untreated and are disposed of unsafely by municipal authorities each day.

Addressing this problem requires a multifaceted approach. Governments should implement stricter laws to prevent littering, promote biodegradable materials, encourage recycling, reduce non-degradable waste, and support the reuse of materials. Technology is also crucial to improving waste disposal and minimizing its environmental impact.

Today, the internet is a part of everyday life, with most people relying on connectivity through smartphones, tablets, or laptops [6]. However, high data costs or connectivity issues can sometimes restrict internet access. To leverage this need, a system providing free Wi-Fi as a reward for disposing of waste properly could incentivize cleanliness in public areas. Combining waste management with internet access can encourage individuals to maintain clean surroundings while satisfying their connectivity needs. This approach offers a practical solution to the waste problem and promotes a cleaner, healthier environment.

2. Literature Survey

The concept of an Internet of Things (IoT) based dustbin is not original and has been implemented in various forms [7]. Some authors have designed systems where sensors inside the bin detect whether it is complete. When the bin reaches capacity, an automated message is sent to the system's server via an Arduino SIM module. Upon receiving the message, the server forwards it to the designated worker. If the worker is available, they confirm by accepting the task and proceed to the location; if not, the task is reassigned to another worker.

Other implementations include real-time waste management systems using smart bins that monitor fill levels [8]. In these systems, authorized personnel can access information about each smart bin remotely and make informed decisions based on the bin's status. This approach has been shown to reduce costs, optimize resources, and make smart bins more efficient. It ultimately reduces city traffic by enabling collection vehicles to visit areas only when bins are full.

Some systems employ an Infrared (IR) sensor, microcontroller, and Wi-Fi module to ensure timely waste collection. When a dustbin reaches its maximum capacity, the system notifies the responsible authority [9]. If the bin is not emptied within a specific time frame, reports are escalated to higher authorities for necessary action against the contractor in charge. This setup promotes cleanliness and minimizes the chance of false reports, reducing corruption within the waste management system.

An innovative approach introduced dustbins with Wi-Fi routers and Passive Infrared (PIR) sensors [10]. In this system, when a user disposes trash, the PIR sensor detects the waste and sends a signal to a microcontroller. The microcontroller then communicates with the Wi-Fi router, which generates a temporary access code. The code is displayed on an LCD screen, and users can enter it on a PHP interface hosted on a server. Upon validation, the server provides the user with the main Wi-Fi password, allowing them internet access for 10 minutes, after which the connection automatically terminates.

3. Flaws in the Existing System

The main problems of the existing solid waste collection process and management system are as follows [11], [12]:

I. More complications in the processing II. Many controlling units linked with each other III. Higher implementation cost

4. Proposed System

The Smart Netbin is an enhanced dustbin, upgraded using a microcontroller-based platform with an Arduino Uno board, interfaced with a load sensor and a Wi-Fi module. The system comprises two main modules: 1) mechanical, and 2) electronic.

The mechanical components include a shredder and a load-sensing plate. The electronic components include various devices, including an Arduino Uno, Load Cell, LCD, IR sensor, amplifier, relay module, and Wi-Fi router.

When a user disposes of trash, it is first shredded within the dustbin and then collected on the load-sensing plate. The load sensor attached to this plate measures the weight of the trash. Once the weight reaches a predefined limit, the Wi-Fi router's password is displayed on the LCD screen, although the router remains off. To complete the process, the user must pull the load-sensing plate to allow the shredded trash to fall into the main dustbin. The IR sensor detects This falling motion, which triggers further system actions.

Advantages of the proposed system over existing models:

I. Low implementation cost II. Simple module III. Easy functionality

5. System Architecture

6. Methodology

7. Advantages

The proposed plan has many advantages. It is also cogent enough to be implemented in every street of a developing nation. The advantages lie in its easy and valuable functioning.

This will improve the streets we live in and provide a pavement for a better working system.

I. Efficient and effective functioning II. Cleaner environs III. Better health issues IV. Pollution-free and stinking-free environs V. Smart cities VI. Technology development VII. Tourist attraction Once implemented, this method would be easy to work on. The garbage will be dumped into the bins, thereby reducing the health threats imposed by the trash present all around.

8. Future Works

The moisture sensor can be implemented in conjunction with the other sensors, and compartments for segregating dry and wet waste can be created, which will solve the issues related to waste segregation [15].

9. Conclusion

Improper disposal and improper maintenance of domestic waste creates issues in public health and the environment pollution; thus, this paper attempts to provide a practical solution towards managing the waste, collaborating it with the use of IoT, i.e., providing free internet facilities for a specific time once the trash is dumped into the bin. the proposed system will help to overcome all the serious issues related to waste and keep the environment clean.

Funding

This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.