SMART WASTE SORTING AND RECYCLING SYSTEM

Abstract

ABSTRACT SMART WASTE SORTING AND RECYCLING SYSTEM The present invention discloses a Smart Waste Sorting System designed to enhance waste management efficiency by automatically sorting various types of waste materials. The system includes a detection module (2) that uses advanced sensors to accurately identify different types of waste, such as recyclables (plastics, metals, paper), compostables, and non-recyclables. The processing module (4) analyses real-time data collected from the detection module to optimize waste collection schedules and prevent unnecessary collection trips. The system incorporates a sorting conveyor (3) and robotic arms (5), which automatically separate and direct waste to the appropriate sorting bins for metal (7), plastic (8), paper (9), and glass (10). The sensor module (2) monitors bin fill levels to ensure bins are emptied before overflowing. A communication interface (17) provides waste management teams with real-time updates on bin status, enabling efficient and timely waste collection. Additionally, an analytics module tracks waste patterns and generates data-driven insights to improve recycling strategies. The system also features a user interface for waste management teams to monitor and manage the entire process, ensuring streamlined operations. This innovative waste sorting system contributes to higher recycling rates, reduces contamination, and supports sustainable waste management practices. Fig 1

Specification

Description:FORM 2

THE PATENTS ACT, 1970
(39 of 1970)
&
THE PATENTS RULES, 2003

COMPLETE SPECIFICATION
(See Section 10; rule 13)

TITLE OF THE INVENTION
SMART WASTE SORTING AND RECYCLING SYSTEM


APPLICANT
K.RAMAKRISHNAN COLLEGE OF ENGINEERING
NH-45, Samayapuram,
Trichy, Tamilnadu, India- 621112


The following specification particularly describes the invention and the manner in which it is to be performed.
SMART WASTE SORTING AND RECYCLING SYSTEM
TECHNICAL FIELD
The Smart waste sorting systems use advanced technologies like sensors, machine learning, and robotics to automatically separate different types of waste. The goal is to reduce human error, improve recycling rates, and streamline waste management processes.
BACKGROUND
Smart waste sorting systems are designed to improve waste management efficiency by automatically separating different types of waste. These systems use technologies like sensors, machine learning, and robotics to identify, sort, and manage materials such as plastics, metals, glass, and paper. The primary goal is to reduce manual sorting, which is time-consuming and often inaccurate, by leveraging automated detection and sorting processes.
With a detection module that uses advanced sensors, these systems can quickly differentiate recyclable items from non-recyclables and compostable materials, ensuring proper categorization. Real-time data processing allows for continuous monitoring and analysis of waste types and bin fill levels, enabling timely collection based on actual need rather than a fixed schedule. This optimization helps reduce operational costs and minimizes unnecessary collection trips.
Additional features like robotic arms can assist in physically sorting waste, which minimizes contamination in recycling streams. Smart waste systems also integrate communication modules to relay real-time bin status and collection needs to waste management teams, allowing for swift adjustments in collection schedules. An analytics module tracks waste trends and generates valuable insights on waste patterns, supporting better recycling strategies and identifying areas with high waste output.
Through an easy-to-use interface, these systems provide waste management teams with a comprehensive view of the entire waste cycle, helping streamline processes and improve planning. Overall, smart waste sorting systems contribute to cleaner cities, higher recycling rates, and a more sustainable approach to waste management, creating positive impacts for both the environment and urban communities.
OBJECTIVE OF THE INVENTION
The primary objective of this invention is to create a smart waste sorting system that automatically separates different types of waste, such as plastics, metals, and paper, using advanced technology. This system aims to make recycling more efficient and accurate by reducing the need for manual sorting.
Yet another object of the present invention is to provide a smart waste sorting system that automates the separation of different types of waste, such as plastics, metals, and paper, using advanced technology.
Yet another object is to reduce the need for manual labor by incorporating sensors, AI, and robotics, which can identify and sort waste materials more efficiently.
Yet another object is to improve the recycling process by minimizing contamination in waste streams, ensuring that materials are properly sorted for recycling.
Yet another object is to create a more sustainable and environmentally-friendly waste management system, reducing landfill waste and improving resource recovery.
Yet another object of this invention is to make waste management more cost-effective and scalable, benefiting cities and communities.
These and other objects of the invention will become readily apparent from the following detailed description, taken in conjunction with the accompanying drawings.
SUMMARY
Smart waste sorting systems are advanced solutions that improve the efficiency and accuracy of waste management by automating the sorting of various materials. Using technologies like sensors, artificial intelligence (AI), and robotics, these systems can quickly identify and separate recyclables, compostables, and non-recyclables, reducing the need for manual sorting. The process begins with a detection module that classifies waste based on material type, ensuring items are directed to the proper recycling or disposal channels.
Real-time data analysis helps optimize collection schedules by monitoring bin fill levels and waste composition, allowing for timely pickups and reducing unnecessary collection trips. Robotic arms further aid by physically sorting waste, minimizing contamination and improving the quality of recycled materials. Communication modules provide waste management teams with up-to-date information on bin status and collection needs, making operations more responsive and efficient. Additionally, analytics modules offer insights into waste trends, helping to identify high-waste areas and inform better recycling practices.
These systems provide a user-friendly platform for managing the entire waste process, making it easier to plan and adjust as needed. Overall, smart waste sorting systems support cleaner communities, increase recycling rates, and contribute to a more sustainable waste management approach.
BRIEF DESCRIPTION OF THE DRAWINGS
The other objects, features, and advantages will occur to those skilled in the art from the following description of the preferred embodiment and the accompanying drawings in which:
Fig 1 illustrates the isometric view of the smart waste sorting system, according to an embodiment of the present invention.
Although the specific features of the present invention are shown in some drawings and not in others, this is done for convenience only, as each feature may be combined with any or all of the other features in accordance with the present invention.
List of reference numerals used in the detailed description and drawings:
1 - Waste Bin, 2 - Sensor Module, 3 - Sorting Conveyor, 4 - AI Processing Unit, 5 - Robotic Arm, 6 - Material Identification Camera, 7 - Metal Sorting Bin, 8 - Plastic Sorting Bin, 9 - Paper Sorting Bin, 10 - Glass Sorting Bin, 11 - Control Panel, 12 - Waste Collection Tray, 13 - Sorting Tray, 14 - Recycling Station, 15 - Waste Disposal Area, 16 - Power Supply Unit, 17 - Communication Interface, 18 - Waste Output Module, 19 - Display Screen & 20 - Manual Override Switch.
DETAILED DESCRIPTION
The waste arranging and reusing framework is intended to effectively handle assorted squander streams, isolating recyclable materials from non-recyclable waste through cutting edge robotization advancements. This definite portrayal gives a top to bottom clarification of the framework's parts, processes, and functional stream.
The framework starts at the waste input hopper, where unsorted waste is taken care of into the framework. A progression of conveyor belts then ships the loss through the different arranging stations. The transport framework is intended to deal with different waste sorts, guaranteeing smooth transportation of materials paying little heed to measure or weight. It likewise incorporates flexible speed controls, permitting the administrator to deal with the speed at which the waste travels through the framework, advancing arranging effectiveness.
The framework's center usefulness lies in its optical arranging unit, which uses Near-Infrared (NIR) sensors and visible light scanners to dissect materials. As waste passes under these sensors, the framework distinguishes various materials in light of their intelligent properties. Every material sort (e.g., plastics, glass, paper, and metals) mirrors light in an unexpected way, permitting the sensors to recognize them continuously.
The sensors send this information to the framework's AI-based handling unit, which goes with arranging choices in a flash. For instance, when plastic is recognized, the framework initiates air jet or robotic arms to guide the material to a particular receptacle. The computer based intelligence calculations consistently learn and further develop arranging precision by adjusting to new waste qualities and refining grouping measures.
The framework utilizes a mix of magnetic separators and eddy current separators to extricate ferrous and non-ferrous metals. The magnetic separator first eliminates ferrous materials, like iron and steel, utilizing areas of strength for a field. These materials are somewhat long of the waste stream and set into isolated assortment canisters.
After the ferrous metals are taken out, the waste go on through to the eddy current separator, which initiates a restricting attractive field. This field repulses non-ferrous metals like aluminum and copper, driving them into independent compartments. This strategy guarantees high exactness in metal recuperation, lessening tainting in the excess waste stream.
The framework consolidates AI-controlled automated armsbfor exact arranging of high-esteem materials. These automated arms are decisively situated along the transport line to pick explicit things that require sensitive dealing with or extra handling. Each arm is outfitted with gripping mechanisms that permit it to get things of shifting sizes and shapes without harming them.
The arms work related to the optical sensors and artificial intelligence calculations, guaranteeing that designated materials are precisely positioned in the right reusing containers. This interaction decreases human mistake and increments by and large framework productivity, especially for complex waste things like hardware or multi-material bundling.
Lightweight materials, like paper, certain plastics, and froth, are isolated utilizing the air order unit as waste enters this segment, a strong air blower makes a vertical draft that lifts lighter materials, redirecting them onto a different transport for assortment. Heavier things stay on the first transport and continue to the following phase of arranging.
This strategy is especially powerful for taking care of blended materials where thickness assumes a critical part in separation. The air characterization unit lessens pollution in the lightweight material stream, expanding the nature of recyclables like paper and certain plastic movies.
The Natural waste, for example, food scraps and biodegradable materials, is distinguished and isolated right off the bat all the while. The framework incorporates a devoted stream for organic waste that is coordinated to a composting unit or anaerobic absorption facility for additional handling. This guarantees that natural materials don't sully the reusing streams and are rather used to make fertilizer or biogas, adding to economical waste administration.
The final assortment bins in view of their sort e.g., plastics, metals, paper, glass, or natural matter. These materials are then compacted and baled for simple transportation to reusing offices. Baling machines pack the arranged materials into thick, sensible groups, decreasing capacity and transport costs. Each bunch is labelled for ID, guaranteeing that materials arrive at the suitable reusing focus.
The framework is overseen through a centralized control panel that permits administrators to screen ongoing information from the optical sensors, mechanical arms, and other arranging instruments. The control framework is easy to use, furnishing administrators with the capacity to change settings like transport speed, air blower power, and arranging boundaries in light of waste qualities.
The monitoring system additionally gives criticism on framework execution, like throughput, arranging exactness, and tainting levels, empowering persistent improvement. It upholds remote access, permitting administrators to regulate different offices from a solitary area.
The framework is planned in view of energy proficiency. The utilization of cutting edge sensors and simulated intelligence driven innovation limits power utilization by upgrading the activity of every part. The robotized cycle decreases dependence on difficult work, further bringing down the ecological impression. By redirecting additional loss from landfills and further developing reusing rates, the framework assumes a key part in advancing a circular economy, where materials are reused and reused, essentially diminishing by and large natural effect.
In synopsis, the waste arranging and reusing framework joins numerous trendsetting innovations - optical sensors, computer based intelligence, automated arms, and attractive detachment - to work on the productivity, exactness, and adaptability of waste administration. This nitty gritty methodology empowers the recuperation of significant materials while decreasing landfill waste and supporting natural manageability.
The waste arranging and reusing framework works on the standard of computerized distinguishing proof and division of waste materials in light of their physical and compound properties, using trend setting innovations like optical sensors, man-made brainpower (simulated intelligence), and mechanical arranging systems. The center idea is to smooth out the waste arranging process by killing the requirement for manual intercession, expanding exactness, and working on the proficiency of reusing tasks.
The framework starts by taking care of blended squander onto transport lines, where it is first filtered by optical sensors that recognize various materials in view of their light reflection properties. Near-Infrared (NIR) sensors and visible light scanners break down the loss as it passes under the sensors, recognizing materials like plastics, metals, paper, and glass. The framework's AI algorithms process this information progressively, recognizing the creation of each waste thing.
The materials are recognized, the framework initiates sorting mechanisms, for example, air jets, robotic arms, or magnetic separators. For instance, plastics and paper are redirected via air blowers, while magnetic separators eliminate ferrous metals. Non-ferrous metals are isolated utilizing eddy current separators, which repulse metals like aluminum and copper into discrete streams.
Mechanical arms constrained by artificial intelligence further improve accuracy by taking care of perplexing or high-esteem materials like hardware or explicit kinds of plastics. The arms pick and spot things into the fitting reusing streams in light of the grouping information got from the sensors.
The waste is consistently moved along the transports as various arranging units separate materials at different stages. Lightweight materials are taken care of by a air arrangement unit, which utilizes wind current to lift and separate paper and lightweight plastics from heavier waste. Organic waste, for example, food scraps, is isolated from the beginning and coordinated to fertilizing the soil or anaerobic assimilation.
The computerbased intelligence framework learns and improves with each arranging cycle, changing its arranging choices to upgrade precision over the long run. This consistent input circle guarantees that the framework stays proficient and compelling, even as waste creations advance.
In synopsis, the framework's functioning standard rotates around automated detection, material classification, and precise sorting making a productive, versatile answer for current waste administration.
The waste arranging and reusing framework offers a few critical benefits over customary waste administration strategies. By utilizing progressed robotization advances, like man-made reasoning optical sensors, and mechanical arranging components, the framework upgrades productivity, diminishes functional expenses, and fundamentally works on the general nature of waste administration. The accompanying benefits feature the advantages of the development:
One of the essential benefits of the framework is its exceptionally exact arranging abilities. By utilizing optical sensors and AI algorithms, the framework can recognize and group a wide assortment of materials plastics, metals, glass, paper, and natural waste with accuracy. This diminishes tainting in reusing streams and guarantees that main appropriately arranged materials are sent for reusing. Further developed arranging exactness upgrades the quality and worth of reused materials, making them more appropriate for going back over.
The framework mechanizes the whole arranging process, limiting the requirement for difficult work. Conventional waste arranging strategies frequently require critical human intercession, which is work concentrated, expensive, and inclined to mistakes. Via robotizing material discovery and figuring out robotic arms and air blowers, the framework decreases the labour force required, prompting lower functional expenses. Moreover, it safeguards labourers from direct contact with possibly dangerous waste, further developing security.
The framework's capacity to deal with enormous volumes of waste rapidly and precisely guarantees that more materials are redirected from landfills and shipped off reusing focuses. Automated processes guarantee that recyclable materials are proficiently isolated from non-recyclable waste, bringing about higher reusing rates. This decreases ecological contamination, limit landfill use, and add to the round economy, where materials are reused instead of disposed of.
The framework is intended to be versatile and versatile to various waste handling conditions, from little nearby tasks to huge civil offices. It tends to be acclimated to deal with different sorts of waste streams, including civil strong waste (MSW), modern waste, and electronic waste. The secluded plan permits it to be modified and extended in light of the particular necessities of an office, making it reasonable for many applications.
By working on the effectiveness of waste arranging and reusing, the framework contributes altogether to natural supportability. Diverting more waste from landfilled diminishes methane outflows, a strong ozone harming substance, while likewise monitoring normal assets by advancing material reuse. The framework's energy-productive plan further limits its carbon impression, making it an eco-accommodating answer for current waste administration.
The utilization of AI-driven technology empowers persistent learning and transformation. The man-made intelligence calculations in the framework become more brilliant over the long haul, changing arranging choices in view of new waste examples and material arrangements. This personal development include guarantees that the framework stays viable and exact as waste streams advance, future-sealing the framework for changing natural and modern requirements.
The mix of diminished work, high productivity, and further developed material recuperation makes this framework a cost-powerful solution for squander the board. It brings down by and large garbage removal and reusing costs while boosting the monetary return from recuperated recyclable materials. This drawnout cost-effectiveness benefits both waste administration administrators and nearby states, as well as the more extensive reusing industry.
All in all, the waste arranging and reusing framework offers huge benefits concerning accuracy, proficiency, versatility, supportability, and cost savings, making it a basic development in current waste administration rehearses.
, Claims:CLAIMS
WE CLAIM,
1. A smart waste sorting system comprising:
a Detection Module uses advanced sensors to accurately identify different types of waste, such as recyclable materials, compostables, and non- recyclables automating this process, it eliminates the need for manual sorting, saving time and improving the overall waste management process;
a processing module continuously analyses waste data collected from bins in real-time, helping optimize waste collection schedules;
a system for smart cycle waste management monitoring the amount and type of waste in each bin, the system determines the most efficient times to collect, reducing unnecessary trips and lowering operational costs;
a sensor module keeps track of bin fill levels and monitors the composition of waste inside each bin. This ensures that bins are emptied before they overflow, keeping public spaces clean and preventing any environmental issues related to waste overflow;
a communication module facilitates seamless real-time communication between the waste management system and the team. It sends instant updates about bin status, waste collection needs, and any changes in schedules or routes. This allows waste management teams to quickly adjust their operations;
an analytics module tracks waste collection trends, including the amount and type of waste generated over time. By analysing this data, the system provides insights into waste patterns, helping identify areas with high waste generation or poor recycling practices; and,
a user interface module provides an easy-to-use platform for both residents and waste management teams. For waste management teams, the interface offers a real-time overview of bin status, helping them plan and execute collections more efficiently.
2. The smart waste sorting system as claimed in claim 1, wherein The Detection Module comprises advanced sensors to identify various types of waste, including recyclables, compostables, and non-recyclables, automating the sorting process to reduce manual effort.
3. The smart waste sorting system as claimed in claim 1, wherein The Processing Module continuously analyses real-time waste data, optimizing collection schedules by evaluating bin fill levels and waste types to reduce unnecessary trips and lower operational costs.
4. The smart waste sorting system as claimed in claim 1, wherein The Sensor Module as monitors bin fill levels and waste composition, ensuring bins are emptied before overflow, maintaining cleanliness, and preventing environmental hazards related to waste overflow.
5. The smart waste sorting system as claimed in claim 1, wherein The Communication Module enables real-time communication with waste management teams, providing instant updates on bin status, collection needs, and schedule adjustments to allow for quick operational changes.
6. The smart waste sorting system as claimed in claim 1, wherein The Analytics Module tracks waste collection trends over time, analysing data to provide insights into waste generation patterns, identifying areas with high waste output or low recycling rates.
7. The smart waste sorting system as claimed in claim 1, wherein The User Interface Module offers an intuitive platform that displays real-time bin status for waste management teams, aiding in effective planning and efficient execution of collection activities.

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