Description:FIELD OF THE INVENTION
This invention relates to Vision Integrated Waste Management System with Facial Recognition and LoRa-Based Tracking for Enhanced Traceability.
BACKGROUND OF THE INVENTION
Using cutting edge technology, this creative waste management system greatly improves waste monitoring, traceability, and security from collecting locations to disposal sites. It follows the lifecycle of waste items and uniquely identifies them through the integration of facial recognition technology, guaranteeing responsibility and effectiveness in waste management procedures. This cutting-edge waste management system ensures safe, open garbage management while reducing environmental effect. It is a major leap in waste tracking and traceability.
Ineffective tracking and control of garbage from collection sites to disposal facilities plague the current waste management systems, creating inefficiencies, a lack of responsibility, and environmental risks. Conventional approaches frequently struggle to handle problems including tampering, improper waste item traceability, and unauthorized access to garbage bins. They also frequently lack real-time monitoring capabilities. Furthermore, waste management in isolated or off-grid areas with poor connection is made less effective by the need on centralized infrastructure.
US10540878B2 A method for disseminating emergency notification content from an emergency originating source. The method comprising: delivering the emergency notification content from the emergency originating source to at least one transmitting party; selecting a subset of users from among a set of users for dissemination of the emergency notification content based on the subject matter of the emergency notification content; and delivering the emergency notification content from the at least one transmitting party to a device corresponding to each user from the selected subset of users.
RESEARCH GAP: A IoT equipped environmental Solution for Community with GPRS, Wifi connectivity is the novelty of the system.
US20230307123A1 A method of monitoring a subject includes detecting subject head motion via a microelectromechanical systems (MEMS) sensor associated with a device worn by the subject, such as a device worn on a region of the head or a headset attached to an ear. The head motion information from the MEMS sensor is processed to determine subject head displacement relative to an origin and/or to identify footstep information, and the processed head motion information is transmitted to a remote device. Processing the head motion information from the MEMS sensor may be performed via at least one processor associated with the device worn by the subject and/or via a second device in telemetric communication with the MEMS sensor. The method may include processing head motion information from the MEMS sensor to determine if the subject has fallen down and/or is not moving.
RESEARCH GAP: A IoT equipped environmental Solution for Community with GPRS, Wifi connectivity is the novelty of the system.
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 Vision Integrated Waste Management System with Facial Recognition and LoRa-Based Tracking for Enhanced Traceability
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.
This smart waste management system enables real-time monitoring and tracking of waste disposal by integrating Waste-bin Motes, Data Routing Motes, and a centralized database. The Waste-bin Motes are equipped with sensors, a camera module for facial recognition, LoRa RF modules for communication, GPS modules for location tracking, vibration sensors, and magnetic reed switches for tampering detection. Additionally, each mote includes a siren, a strobe light for alarm activation, a dual-channel actuator module, and a solar power supply for independent operation. These Waste-bin Motes are strategically placed at waste collection points to ensure secure and traceable disposal by verifying authorized individuals through facial recognition. Unauthorized access or tampering is detected via vibration sensors and magnetic reed switches, triggering immediate audio and visual alerts, such as sirens and strobe lights. Simultaneously, real-time alerts are transmitted via LoRa RF communication to Data Routing Motes, which then relay this information to a centralized cloud server for further processing and analysis.
The Data Routing Motes function as communication nodes that facilitate seamless data transfer between Waste-bin Motes and the centralized server. They are equipped with LoRa RF, GPRS, and ESP01 WiFi modules to ensure reliable connectivity. The GPRS module provides a backup communication mechanism, ensuring continuous data transmission even in areas with poor or no WiFi coverage. Additionally, the RA01 LoRa RF module enables long-range, low-power communication, ensuring uninterrupted waste management data transmission even in remote or off-grid locations. The GPS module integrated into the Waste-bin Motes allows real-time tracking of waste bin locations, improving traceability and enabling authorities to monitor waste collection and disposal processes effectively.
The system operates using a cloud-based server that collects and stores data, including waste disposal events, GPS location tracking, and tampering alerts. Machine learning algorithms analyze the collected data, identify trends, and provide predictive insights to optimize waste collection and disposal processes. The system also features a web-based dashboard, enabling authorities to visualize data, monitor waste collection activities, detect anomalies, and enhance operational efficiency. To ensure sustainability and autonomous operation, both Waste-bin Motes and Data Routing Motes are powered by an externally attached solar power supply, allowing them to function independently in remote areas without relying on conventional power sources.
Through the integration of advanced communication technologies, real-time tracking, AI-based analytics, and automated security measures, this waste management system offers an innovative solution for improving efficiency, accountability, and environmental sustainability in waste disposal and collection operations.
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.
This cutting-edge waste management system ensures effective trash tracking and management throughout its lifecycle by integrating cutting-edge communication technologies with hardware components in a seamless manner. The Waste-bin Motes and Data Routing Motes are the fundamental components of the system. With a variety of sensors and modules installed, such as cameras for facial recognition, LoRa RF modules for communication, and GPS modules for location tracking, the Waste-bin Motes are placed strategically at collection points. Facial recognition technology enables secure and traceable waste disposal by identifying authorized people when they enter a waste bin. Furthermore, sensors that detect any unwanted access or tampering with the waste bin include magnetic reed switches and vibration sensors. The Waste-bin Motes automatically activate audio and visible alarms, such as sirens and strobe lights, using the LoRa RF network in order to notify the authorities and anyone in the vicinity in the event that they identify any significant occurrences or tampering. Concurrently, information about the occurrence is sent to the Data Routing Motes that are positioned along the path used to collect garbage. As communication nodes, these Data Routing Motes transmit the data collected from the Waste-bin Motes to a control room-based cloud server or centralized database.
To communicate with the centralized database and ensure safe and instantaneous data transfer, the Data Routing Motes employ a mix of GPRS, ESP01 WiFi, and LoRa RF modules. The LoRa RF network guarantees continuous tracking and monitoring of trash products in the event of poor connectivity in rural or off-grid places. Solar energy powers the system, offering sustainability and independence, particularly in places without access to conventional power sources. The system logs and stores all of the data it gathers, including GPS position data, tampering alarms, and waste disposal events, in a centralized database or cloud server. Authorities can use machine learning and AI-based algorithms to conduct in-depth analysis thanks to this data, which is a significant resource. Authorities may visualize data, obtain insights into waste management procedures, and make well-informed decisions to enhance effectiveness, accountability, and environmental sustainability through a web dashboard that is hosted on the cloud.
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: SYSTEM ARCHITECTURE
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 cutting-edge waste management system ensures effective trash tracking and management throughout its lifecycle by integrating cutting-edge communication technologies with hardware components in a seamless manner. The Waste-bin Motes and Data Routing Motes are the fundamental components of the system. With a variety of sensors and modules installed, such as cameras for facial recognition, LoRa RF modules for communication, and GPS modules for location tracking, the Waste-bin Motes are placed strategically at collection points. Facial recognition technology enables secure and traceable waste disposal by identifying authorized people when they enter a waste bin. Furthermore, sensors that detect any unwanted access or tampering with the waste bin include magnetic reed switches and vibration sensors. The Waste-bin Motes automatically activate audio and visible alarms, such as sirens and strobe lights, using the LoRa RF network in order to notify the authorities and anyone in the vicinity in the event that they identify any significant occurrences or tampering. Concurrently, information about the occurrence is sent to the Data Routing Motes that are positioned along the path used to collect garbage. As communication nodes, these Data Routing Motes transmit the data collected from the Waste-bin Motes to a control room-based cloud server or centralized database.
To communicate with the centralized database and ensure safe and instantaneous data transfer, the Data Routing Motes employ a mix of GPRS, ESP01 WiFi, and LoRa RF modules. The LoRa RF network guarantees continuous tracking and monitoring of trash products in the event of poor connectivity in rural or off-grid places. Solar energy powers the system, offering sustainability and independence, particularly in places without access to conventional power sources. The system logs and stores all of the data it gathers, including GPS position data, tampering alarms, and waste disposal events, in a centralized database or cloud server. Authorities can use machine learning and AI-based algorithms to conduct in-depth analysis thanks to this data, which is a significant resource. Authorities may visualize data, obtain insights into waste management procedures, and make well-informed decisions to enhance effectiveness, accountability, and environmental sustainability through a web dashboard that is hosted on the cloud.
BEST METHOD OF WORKING
1. The Waste-bin Mote, which is outfitted with an STM32 Board, a Camera Module, a RA01 Lora RF Module, a Vibration sensor, a Magnetic Reed Switch, a Siren, a Strobe light, a Dual Channel Actuator Module, a GPS Module, a Solar Power Supply, and a Solenoid Lock with Mechanical Arrangement, is utilized in this situation to identify unwanted entry and initiate notifications for responsible and effective waste management.
2. Waste-bin Motes and a centralized database or cloud server can communicate seamlessly thanks to the Data Routing Mote, which is outfitted with an STM32 Board, RA01 Lora RF Module, ESP01 WiFi Module, GPRS Module, and Solar Power Supply. This allows for the real-time transmission of waste management data for analysis and decision-making.
3. The embedded RA01 LoRa RF Module in both motes allows for long-range, low-power communication between the Data Routing Motes and Waste-bin Motes, guaranteeing dependable waste management data transmission even in isolated or off-grid areas.
4. garbage-bin Mote's GPS module is used to precisely track the locations of garbage bins, improving traceability and allowing for real-time monitoring of waste collection and disposal operations.
5. To facilitate real-time data transfer and analysis via a local or wide-area network, the ESP01 WiFi Module attached to the Data Routing Mote is employed to enable connection between the Data Routing Motes and the cloud server or centralized database.
6. The additional GPRS module. As a backup communication mechanism for Data Routing Motes, Interfaced on Data Routing Motes ensures data transmission in places without WiFi coverage, preserving continuous connectivity and enabling real-time waste management activity monitoring.
7. To ensure ongoing functioning in remote or off-grid places without relying on traditional power sources, the Waste-bin and Data Routing Motes are powered by an externally attached Solar Power Supply that is sustainable and autonomous.
ADVANTAGES OF THE INVENTION
1. Using facial recognition, sensors, and LoRa connectivity, the Waste-bin Mote functions as a comprehensive security and monitoring unit at waste collection locations, guaranteeing traceability, detecting unwanted access, and setting off alarms for effective and responsible waste management.
2. The Data Routing Mote ensures real-time transfer of waste management data for analysis and decision-making by facilitating smooth connectivity between Waste-bin Motes and a centralized database or cloud server.
3. The Waste-bin Motes and Data Routing Motes can communicate over long distances and at low power thanks to the RA01 LoRa RF Module, which guarantees the accurate transmission of waste management data even in isolated or off-grid areas.
4. The GPS Module offers precise garbage bin location tracking, improving traceability and facilitating in-the-moment waste collection and disposal activity monitoring.
, C , Claims:1. A smart waste management system for real-time monitoring and tracking of waste disposal, comprising:
a. Waste-bin Motes equipped with sensors, a camera module for facial recognition, LoRa RF modules for communication, GPS modules for location tracking, vibration sensors, magnetic reed switches for tampering detection, a siren and strobe light for alarm activation, a dual-channel actuator module, and a solar power supply;
b. Data Routing Motes positioned along waste collection routes, incorporating LoRa RF, GPRS, and ESP01 WiFi modules to ensure seamless data transmission;
c. A centralized database or cloud server to receive, store, and analyze data collected from Waste-bin Motes and Data Routing Motes; and
d. A web-based dashboard for authorities to visualize waste management data and derive actionable insights using AI-based analytics.
2. The waste management system as claimed in claim 1, wherein the facial recognition feature of the Waste-bin Mote identifies and verifies authorized individuals for traceable waste disposal.
3. The waste management system as claimed in claim 1, wherein the vibration sensor and magnetic reed switch detect unauthorized access or tampering and activate audio and visual alerts.
4. The waste management system as claimed in claim 3, wherein upon detection of tampering, the Waste-bin Mote transmits a real-time alert via LoRa RF communication to Data Routing Motes for escalation to the centralized database or cloud server.
5. The waste management system as claimed in claim 1, wherein the Data Routing Motes serve as communication nodes that relay waste management data between Waste-bin Motes and the cloud server using a combination of LoRa RF, GPRS, and ESP01 WiFi modules.
6. The waste management system as claimed in claim 5, wherein the GPRS module in the Data Routing Motes ensures data transmission in areas with limited or no WiFi connectivity, maintaining uninterrupted system operation.
7. The waste management system as claimed in claim 1, wherein the GPS module in the Waste-bin Mote provides real-time location tracking of waste bins, ensuring accurate waste collection and disposal monitoring.
8. The waste management system as claimed in claim 1, wherein the RA01 LoRa RF module enables long-range, low-power communication between Waste-bin Motes and Data Routing Motes for reliable waste management data transmission in remote or off-grid areas.
9. The waste management system as claimed in claim 1, wherein an externally attached solar power supply ensures continuous operation of both Waste-bin Motes and Data Routing Motes in remote or off-grid locations without reliance on traditional power sources.
10. The waste management system as claimed in claim 1, wherein the cloud-based server employs AI-based machine learning algorithms to analyze waste management data, detect patterns, and provide predictive insights for optimizing waste collection and disposal processes.