Cost-Effective Autonomous Garbage Collecting Robot System Using Iot And Sensor Fusion

Abstract

Waste collection and management is a subject undergoing extensive study, and solutions are being proposed meticulously. Thanks to an exponential rise in population, there is an increased production of waste, and also a significant amount of litter consisting of plastic, paper, and other such products carelessly thrown about and scattered in public. Thus, the need for a more robust waste management strategy is essential. Presently, waste management techniques either lack efficiency, or incur high costs. Several Governmental as well as Non-Governmental Organizations have made efforts to clean public spaces. Collection of the unorganized and scattered garbage is the preliminary and most vital step of waste management, following proper segregation and disposal. This paper proposes, explains, and implements an original concept of making a modular, scalable and cost effective system for garbage collection. Making an efficient use of Internet of Things to maintain a constant connection between a central server and a network of garbage processing and collecting, independent, autonomous robots, we rely upon such a system to produce accurate results, as well as considerably reduce the cost, hence providing a feasible solution to minimize human effort and costs during waste collection. It provides a gateway towards implementing garbage collecting robots in smart cities. Rather than describing the design of a single robot, we propose an entire system of robots interconnected in a network, to optimize time, energy and overall speed. There is always a trade-off between accuracy, efficiency and cost of garbage collection, especially when robots get into the picture. Our purpose is to find the perfect balance between these factors.

Smart Waste Management System for Smart & Sustainable City of Indonesia’s New State Capital: A Literature Review

“…This model effectively distinguishes six types of waste, including cardboard, glass, metal, paper, plastic, and other trash [33,34]. Despite the use of smart bins, this camera technology with sensors and artificial intelligence can also be used for garbage collection and classification in remotely accessible or waste disposal areas [9,29].…”

Optimization Shortest One-Way Path for Energy Saving Auto Robot Collecting Floating Garbage using Fast Approximate Nearest Neighbor Search

“…Three thousand images were used in the training process for floating garbage classification. This server will process the image to classify the object, which is garbage or not, by using the fast Approximate Nearest Neighbor search algorithm [45], [46], [47], [48], [49], [50] with low power consumption [51]. Fast Approximate Nearest Neighbor search can determine the suitable configuration for hierarchical k-means trees and the randomized K-Dimensional trees [52], [53], [54] under the k-NN protocol [55].…”

Conceptual design and simulation study of an autonomous indoor medical waste collection robot

“…The navigation mechanism is also improved by adding a lidar range sensor to sense the environment better and help create a map for navigation. Sengupta et al [11] also used ultrasonic sensors for their robot to navigate the environment but have experimented with a neural network for object detection. A neural network helps identify waste objects better, but its full potential is realized when combined with a gripper.…”