VISION-BASED COUNTING & MONITORING SOLUTION FOR THE PRODUCTS BY BAG SEALING MACHINES WITHIN RETAIL BAGS MANUFACTURING INDUSTRY

Abstract

This invention provides a vision-based solution for real-time product counting and monitoring in Bag Sealing Machines, transforming the retail bag manufacturing industry. Equipped with a Beaglebone Processor Board, GPU Neural Stick, Camera, Proximity Sensor, HMI Display, and Speaker, this system gathers and processes data on production lines. The data is transmitted to a cloud server where algorithms analyze it to provide insights on trends, energy consumption, and other critical parameters. The solution allows operators to monitor operations through a local interface or a remote dashboard, ensuring operational efficiency, timely alerts, and accurate product counts for optimized bag sealing processes.

Specification

Description:FIELD OF THE INVENTION
This invention relates to Vision-based Counting & Monitoring Solution for the Products by Bag Sealing Machines within Retail Bags Manufacturing Industry.
BACKGROUND OF THE INVENTION
This innovative solution uses state-of-the-art technologies to accurately count and monitor products during the bag sealing process, revolutionizing the retail bag manufacturing industry. This innovation gathers real-time data from the production line by combining cloud-based IoT technology with a vision-based system. A user-friendly local interface and a remote online dashboard are provided once the gathered data has been processed by a specialized algorithm on a cloud server. This method yields useful insights into trending data, energy use, and other critical aspects in addition to ensuring accurate product counts.
The absence of a reliable, automated system for counting and monitoring items during the bag sealing process poses a serious problem to the retail bag manufacturing industry. The majority of the times, current approaches rely on manual labor, which leads to errors, inefficiencies, and a lack of real-time insights into production parameters. In addition to being labor-intensive, this manual method increases the possibility of product count errors, which may result in problems with quality and operational disruptions.
US7416628B2 - An apparatus and method for inhibiting the peeling of labels from a web is disclosed. A web with a plurality of labels is pulled towards a peeling edge. An antenna examines at least one of the labels. Based at least in part on the antenna's examination of at least one label, one or more of a peel inhibiting device and a peeling edge is moved towards or away from the other. The combination of the edge and device forms a rounded surface over which the web and labels are pulled. As the web and label(s) pass across the combination of the edge and device, the separation of at least one of the labels from the web is inhibited. Vision based innovation for Bag Sealing Machines is the novelty of the system.
US7481371B2 - An identification system for an object includes a radio frequency identification tag formed as a label. The tag is encoded so as to contain information regarding the object. The label has indicia printed thereon corresponding to the encoded information. The information encoded on the radio frequency identification tag corresponds to the indicia printed on the label so as to provide multiple forms of identification for the object. A method for providing identification to an object is also disclosed. Vision based innovation for Bag Sealing Machines is the novelty of the system.
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.
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.
The VQM_BSMTNode uses an intricate and integrated approach to solve the problems facing the retail bag manufacturing industry by fusing cutting-edge technology with hardware components. This innovation is primarily focused on vision-based product counting and monitoring. The camera is positioned to take visual data of products passing through bag sealing equipment, while the Beaglebone Processor Board acts as the central processing unit, coordinating many components. This data is processed by the GPU Neural Stick, allowing precise real-time counting and monitoring. A Proximity Sensor improves the system by adding more information and initiating actions when an item gets close to sealing equipment.
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.
The VQM_BSMTNode uses an intricate and integrated approach to solve the problems facing the retail bag manufacturing industry by fusing cutting-edge technology with hardware components. This innovation is primarily focused on vision-based product counting and monitoring. The camera is positioned to take visual data of products passing through bag sealing equipment, while the Beaglebone Processor Board acts as the central processing unit, coordinating many components. This data is processed by the GPU Neural Stick, allowing precise real-time counting and monitoring. A Proximity Sensor improves the system by adding more information and initiating actions when an item gets close to sealing equipment.
IoT-based technology is used to transfer comprehensive data, such as counts and proximity information, to the cloud server. A predetermined algorithm is hosted on a specialized cloud server, which analyzes the data to provide trends, energy use, and other relevant information. The HMI Display for localized user engagement and a customized online dashboard for remote access by authorities receive the results, which enable effective monitoring and decision-making. When disparities are found during counting and monitoring, the VQM_BSMTNode's embedded speaker can produce audible announcements and alerts. This proactive strategy guarantees operators receive timely information so they can take fast corrective action.
BEST METHOD OF WORKING
A vision-based counting and monitoring solution for Bag Sealing Machines comprising a Beaglebone Processor Board that coordinates data processing and integrates cloud-based IoT technology for real-time product counting and monitoring within the retail bag manufacturing industry.
A vision-based solution with a camera that captures visual data of products passing through the bag sealing equipment, allowing accurate real-time monitoring and counting.
A vision-based solution with a GPU Neural Stick to enhance processing power, enabling efficient execution of neural network tasks for precise analysis of visual data.
A vision-based solution incorporating a Proximity Sensor that provides additional data on product location and initiates specific actions based on proximity to the bag sealing equipment.
A vision-based solution including an HMI Display that serves as a user interface, presentingreal-time data, analytics, and alerts to operators for effective decision-making.
A vision-based solution with an integrated Speaker to produce audible alerts and announcements upon detecting discrepancies during product counting and monitoring, ensuring prompt operator action.
A vision-based solution wherein a cloud server analyzes gathered data using pre-set algorithms, providing trending data, energy usage, and operational insights accessible through an online dashboard.
A vision-based solution with a Power Supply to maintain continuous operation of the counting and monitoring system for Bag Sealing Machines in the retail bags manufacturing industry.
ADVANTAGES OF THE INVENTION
1. The VQM_BSMTNode effortlessly integrates cloud-based IoT technology, data analytics, and vision-based product counting to bring about a transformative effect on the retail bags manufacturing industry. The connection facilitates operational excellence in bag sealing operations by offering accurate and timely insights in real-time.
2. This creative solution's camera gathers vital visual data required for vision-based product counting. Through the VQM_BSMTNode, this capability permits the real-time monitoring of bag sealing procedures in the retail bags manufacturing industry.
3. The GPU Neural Stick greatly increases processing power, making neural network jobs easier to complete. By ensuring quick and precise analysis of visual data in the VQM_BSMTNode's vision-based product counting system, this feature helps the retail bag manufacturing industry optimize its bag sealing procedures.
4. This innovation's Proximity Sensor provides extra data and initiates particular actions in response to products' proximity to the bag sealing equipment. Through the VQM_BSMTNode, this functionality is essential to the thorough monitoring and process optimization of the retail bag manufacturing industry.
5. The HMI Display shows real-time data, analytics, and warnings in its capacity as a user interface. Through the VQM_BSMTNode, this feature enables operators supervising bag sealing operations in the retail bags manufacturing industry to engage and make decisions with ease.
, Claims:1. A vision-based counting and monitoring solution for Bag Sealing Machines comprising a Beaglebone Processor Board that coordinates data processing and integrates cloud-based IoT technology for real-time product counting and monitoring within the retail bag manufacturing industry.
2. The vision-based solution as claimed in Claim 1, wherein a camera captures visual data of products passing through the bag sealing equipment, allowing accurate real-time monitoring and counting.
3. The vision-based solution as claimed in Claim 1, further comprising a GPU Neural Stick to enhance processing power, enabling efficient execution of neural network tasks for precise analysis of visual data.
4. The vision-based solution as claimed in Claim 1, incorporating a Proximity Sensor that provides additional data on product location and initiates specific actions based on proximity to the bag sealing equipment.
5. The vision-based solution as claimed in Claim 1, including an HMI Display that serves as a user interface, presenting real-time data, analytics, and alerts to operators for effective decision-making.
6. The vision-based solution as claimed in Claim 1, with an integrated Speaker to produce audible alerts and announcements upon detecting discrepancies during product counting and monitoring, ensuring prompt operator action.
7. The vision-based solution as claimed in Claim 1, wherein a cloud server analyzes gathered data using pre-set algorithms, providing trending data, energy usage, and operational insights accessible through an online dashboard.
8. The vision-based solution as claimed in Claim 1, further including a Power Supply to maintain continuous operation of the counting and monitoring system for Bag Sealing Machines in the retail bags manufacturing industry.

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