Description:Title of The Invention
AN ARTIFICIAL INTELLIGENCE DUSTBIN WITH APP FOR WASTE MANAGEMENT
Field of the Invention
This invention relates to an artificial intelligence dustbin with app for waste management.
Background of the Invention
US20210188541A1 says that a waste management system comprises a waste bin storing waste, wherein the waste bin comprises a smart waste bin sensor device installed on the waste bin of a waste bin owner. The smart waste bin sensor device comprises a set of sensors that sends and receives signals through a wireless network to a cloud server. The set of sensors implements, operates, detects, measures, and monitors environmental conditions inside or outside the waste bin. A waste and litter sensor detects, measures, and monitors a waste type, a waste volume, a litter type, a litter level, a biohazardous waste type, and a biohazardous waste level. A pathogen biosensor detects, measures, and monitors a pathogen type and a biosafety level. The pathogen biosensor comprises a sterilizer to kill pathogens. A waste bin mobile application and a waste collection facility application functionality enable a user to monitor waste in the waste bin.
Research Gap:In a waste management dustbin and app scenario, the emphasis is usually on streamlining waste collection operations, optimizing routing and scheduling of waste collection trucks, and providing users with convenient ways to report and request waste collection services. The mobile application might enable users to request waste collection, track the status of their requests, receive notifications about collection schedules, and access general information about waste management practices.
CN112478529Bsays that the invention relates to the technical field of garbage collection and transportation processing, in particular to an intelligent garbage collection and transportation system, which comprises an intelligent garbage can and a server, wherein the intelligent garbage can comprises a detection module for detecting the residual capacity of the garbage can, a positioning module for acquiring positioning information and a communication module in communication connection with the server, and the server comprises: the system comprises an information acquisition module, a block division module, an information processing module, a path planning module and a path optimization module. The invention can solve the problems of high labor cost and time cost in the garbage collection and transportation process.
Research Gap:In comparison, the waste management dustbin and app, as previously discussed, typically focus on waste collection logistics and user experience. While it may incorporate some level of automation and communication, the intelligent garbage collection and transportation system described here goes a step further by utilizing advanced technologies such as real-time monitoring, data analysis, and route optimization. Its primary goal is to reduce labor and time costs associated with garbage collection and transportation by providing intelligent decision-making support and optimizing the routes of collection vehicles.
None of the prior art indicate above either alone or in combination with one another disclose what the present invention has disclosed. This invention relates to an artificial intelligence dustbin with app for waste management.
SUMMARY OF THE INVENTION
This summary is provided to introduce a selection of concepts, in a simplified format, that are further described in the detailed description of the invention.
This summary is neither intended to identify key or essential inventive concepts of the invention and nor is it intended for determining the scope of the invention.
The problem that led to the invention of an AI dustbin with an app for waste management system from the increasing challenges associated with effective waste disposal and management. Traditional waste management systems often face several issues, including inefficient collection routes, overflowing bins, and a lack of real-time monitoring. These problems can result in environmental hazards, health risks, and inefficient allocation of resources.
A system of artificial intelligence dustbin with app for waste management comprises Sensor Mote”1” in Bin (10), Sensor Mote”2” in Bin(11), Sensor Mote”3” in Bin(12), Local Server(LoRa+WiFi)(13),Vehicle Bases Node”1”(20), Vehicle Bases Node”2”(21), Cloud server(50); Computing Unit (20), Weight Sensor(21), Level Measure Sensor(22), RFID(23), GPS(24), Preteaned V/L Model(25), Solar Based Power Supply(26), Speaker(27), and LoRa Module(28); wherein sensor module is used for data collection or monitoring purposes and refers to a server located within a specific physical location, such as a building or facility.
To further clarify advantages and features of the present invention, a more particular description of the invention will be rendered by reference to specific embodiments thereof, which is illustrated in the appended drawings. It is appreciated that these drawings depict only typical embodiments of the invention and are therefore not to be considered limiting of its scope. The invention will be described and explained with additional specificity and detail with the accompanying drawings.
BRIEF DESCRIPTION OF THE DRAWINGS
The illustrated embodiments of the subject matter will be understood by reference to the drawings, wherein like parts are designated by like numerals throughout. The following description is intended only by way of example, and simply illustrates certain selected embodiments of devices, systems, and methods that are consistent with the subject matter as claimed herein, wherein:
Figure 1: Proposed Architecture
Figure 2: Sensor Mote ‘1’ - ‘n’
The figures depict embodiments of the present subject matter for the purposes of illustration only. A person skilled in the art will easily recognize from the following description that alternative embodiments of the structures and methods illustrated herein may be employed without departing from the principles of the disclosure described herein.
DETAILED DESCRIPTION OF THE INVENTION
The detailed description of various exemplary embodiments of the disclosure is described herein with reference to the accompanying drawings. It should be noted that the embodiments are described herein in such details as to clearly communicate the disclosure. However, the amount of details provided herein is not intended to limit the anticipated variations of embodiments; on the contrary, the intention is to cover all modifications, equivalents, and alternatives falling within the scope of the present disclosure as defined by the appended claims.
It is also to be understood that various arrangements may be devised that, although not explicitly described or shown herein, embody the principles of the present disclosure. Moreover, all statements herein reciting principles, aspects, and embodiments of the present disclosure, as well as specific examples, are intended to encompass equivalents thereof.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments. As used herein, the singular forms “a",” “an” and “the” are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms “comprises,” “comprising,” “includes” and/or “including,” when used herein, specify the presence of stated features, integers, steps, operations, elements and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components and/or groups thereof.
It should also be noted that in some alternative implementations, the functions/acts noted may occur out of the order noted in the figures. For example, two figures shown in succession may, in fact, be executed concurrently or may sometimes be executed in the reverse order, depending upon the functionality/acts involved.
In addition, the descriptions of "first", "second", “third”, and the like in the present invention are used for the purpose of description only, and are not to be construed as indicating or implying their relative importance or implicitly indicating the number of technical features indicated. Thus, features defining "first" and "second" may include at least one of the features, either explicitly or implicitly.
Unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which example embodiments belong. It will be further understood that terms, e.g., those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the relevant art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein.
This is a specific sensor module, presumably used for data collection or monitoring purposes. It refers to a server located within a specific physical location, such as a building or facility. The local server acts as a central hub for collecting and processing data from the sensors. RO + Wi-Fi: This indicates that the sensors are equipped with wireless connectivity, likely using Wi-Fi technology, allowing them to transmit data to the local server without the need for physical cables. It seems that multiple sensors, possibly of different types, are connected to the local server. These sensors could be collecting data from various sources, such as environmental parameters, vehicle information, or other relevant data. The local server is connected to a cloud server, which is a remote server accessible via the Internet. The purpose of connecting to the cloud server is likely to store and analyze the data collected by the sensors. The local server and the cloud server are connected through the Internet, enabling data transfer between them. The Internet connection is crucial for sending data from the local server to the cloud server for further processing and analysis. Vehicle Base Model 2 and Wealth Nodal One: These are not clearly defined terms in the given statement. It's possible that "Vehicle Base Model 2" refers to a specific type of vehicle.
This sensor is designed to measure the weight of an object or entity. It is connected to the computer unit for data transmission. This sensor is used to measure the level of a particular substance, such as liquid or granular material. It is also connected to the computer unit for data transmission. This technology uses electromagnetic fields to identify and track objects equipped with RFID tags. The RFID system is connected to the computer unit to send and receive data related to identify objects. The GPS component is used to determine the precise location of the system or the objects being tracked. It is connected to the computer unit to provide accurate location data. This unit serves as the central processing and control hub of the system. It receives data from the weight sensor, level measure sensor, RFID system, and GPS module. It processes the data and performs necessary operations or sends it to other connected devices. The computer unit is powered by a solar-based power supply, indicating that it utilizes solar energy as the primary source of power. The statement mentions that the computer unit is connected to protected VR models. It is unclear what "VR models" refer to in this context. However, it implies that the computer unit interacts with virtual reality (VR) devices or models in a protected manner. The computer unit is also connected to speakers. This suggests that the system is capable of producing audio output, possibly for generating alerts or providing feedback. The purpose or function of the "row model" is not clearly defined in the given statement. It could refer to a specific module or software component related to the system.
ADVANTAGE OF THE INVENTION
Efficient Waste Collection: AI algorithms can analyze data from various sensors, such as fill level sensors or weight sensors, to optimize waste collection routes and schedules. By intelligently determining which containers need to be emptied and when, the AI system can reduce unnecessary trips and maximize the efficiency of waste collection operations. This leads to cost savings, reduced fuel consumption, and lower greenhouse gas emissions.
Predictive Maintenance: AI can help predict and prevent equipment failures or malfunctions in waste management facilities. By monitoring sensor data and using machine learning algorithms, the AI system can identify patterns and anomalies that indicate potential issues. This enables proactive maintenance, reducing downtime and improving the overall reliability of waste management infrastructure.
Data-Driven Decision Making: AI systems can analyze vast amounts of data collected from various sources, such as sensors, weather forecasts, or historical data, to make informed decisions. These decisions can include optimizing waste collection routes, adjusting staffing levels, or identifying areas with high waste generation. By leveraging data-driven insights, waste management authorities can make more effective decisions that lead to improved operational efficiency and resource allocation.
Enhanced Recycling and Sorting: AI systems can improve recycling processes by using machine learning algorithms to analyze and classify different types of waste materials. Optical sorting sensors, combined with AI, can accurately identify and sort recyclable materials, such as plastics, paper, or glass, at high speeds. This improves the quality of recycled materials, reduces contamination, and increases recycling rates.
Real-time Monitoring and Alert Systems: AI-powered waste management systems can provide real-time monitoring and alerts for various parameters, such as fill levels, gas emissions, or equipment status. This enables proactive management, allowing quick responses to critical situations, such as overflowing bins, equipment malfunctions, or hazardous gas leaks. Timely alerts can help prevent accidents, ensure compliance with regulations, and maintain a safe and healthy environment.
By leveraging AI capabilities, waste management systems can become more intelligent, adaptive, and efficient. They can optimize resource utilization, reduce costs, enhance sustainability efforts, and contribute to a cleaner and healthier environment.
AI dustbin, app, waste management, efficient resource allocation, reduced overflowing bins, cost savings, public health.
, Claims:
1. A system of artificial intelligence dustbin with app for waste management comprises Sensor Mote”1” in Bin (10), Sensor Mote”2” in Bin(11), Sensor Mote”3” in Bin(12), Local Server(LoRa+WiFi)(13),Vehicle Bases Node”1”(20), Vehicle Bases Node”2”(21), Cloud server(50); Computing Unit (20), Weight Sensor(21), Level Measure Sensor(22), RFID(23), GPS(24), Preteaned V/L Model(25), Solar Based Power Supply(26), Speaker(27), and LoRa Module(28); wherein sensor module is used for data collection or monitoring purposes and refers to a server located within a specific physical location, such as a building or facility.
2. The system as claimed in claim 1, wherein the local server acts as a central hub for collecting and processing data from the sensors; and RO + Wi-Fi indicates that the sensors are equipped with wireless connectivity, likely using Wi-Fi technology, allowing them to transmit data to the local server without the need for physical cables.
3. The system as claimed in claim 1, wherein multiple sensors are connected to the local server; and said sensors are collecting data from various sources, such as environmental parameters, vehicle information, or other relevant data; and the local server is connected to a cloud server, which is a remote server accessible via the Internet; and the purpose of connecting to the cloud server is likely to store and analyze the data collected by the sensors.
4. The system as claimed in claim 1, wherein the local server and the cloud server are connected through the Internet, enabling data transfer between them; and the Internet connection is crucial for sending data from the local server to the cloud server for further processing and analysis.
5. The system as claimed in claim 1, wherein Vehicle Base Model 2 and Wealth Nodal One: These are not clearly defined terms in the given statement. It's possible that "Vehicle Base Model 2" refers to a specific type of vehicle.
6. The system as claimed in claim 1, wherein said sensor is designed to measure the weight of an object or entity; and connected to the computer unit for data transmission; wherein said sensor is used to measure the level of a particular substance, such as liquid or granular material; and also connected to the computer unit for data transmission.
7. The system as claimed in claim 1, wherein said method uses electromagnetic fields to identify and track objects equipped with RFID tags; and the RFID system is connected to the computer unit to send and receive data related to identify objects.
8. The system as claimed in claim 1, wherein the GPS component is used to determine the precise location of the system or the objects being tracked; and it is connected to the computer unit to provide accurate location data; and this unit serves as the central processing and control hub of the system. It receives data from the weight sensor, level measure sensor, RFID system, and GPS module; which processes the data and performs necessary operations or sends it to other connected devices.
9. The system as claimed in claim 1, wherein the computer unit is powered by a solar-based power supply, indicating that it utilizes solar energy as the primary source of power; and the statement mentions that the computer unit is connected to protected VR models. It is unclear what "VR models" refer to in this context.
10. The system as claimed in claim 1, wherein it implies that the computer unit interacts with virtual reality (VR) devices or models in a protected manner; and the computer unit is also connected to speakers.