AI-INTEGRATED VISION DEVICE WITH MACHINE LEARNING FOR BEHAVIOR ANALYSIS AND HEALTH MONITORING IN INDUSTRIAL VERTICAL CARTONING FACTORIES USING NRF AND LORA NETWORKS

Abstract

An ai-integrated vision device with machine learning for behavior analysis and health monitoring in industrial vertical cartoning factories using nrf and lora networks comprises VisionAnalytical Unit fitted with Jetson Nano, Camera Module, nrf module, temperature sensor, accelerometer, current sensor, pressure sensor, buzzer, and power supply, allows instant tracking and evaluation of the performance of workers and machines, this configuration makes it possible for unsafe conditions to be quickly identified and for safety measures to be Automated in Industry the function of CentralCollector Unit is expanded by the integration of extra features such as Raspberry Pi Board, nRF Module, LoRaWAN Module, HMI display, and Power Supply, as the system enables localized analytics and data visualization, this helps operators in the direct supervision of machines and workers enabling a fast response to critical situations.

Specification

Description:FIELD OF THE INVENTION
This invention relates to ai-integrated vision device with machine learning for behavior analysis and health monitoring in industrial vertical cartoning factories using nrf and lora networks.
BACKGROUND OF THE INVENTION
The technology consists of an AI based solution capable of constantly analyzing the behavior and health of workers in an industrial vertical cartoning setting. It can keep track of, process and interpret information related to operational parameters, particularly environmental conditions, movement, energy and pressure, for improved monitoring and predictive analysis. Data transfer is carried out through a multi-layer system, which makes it easy to connect from the local devices to applications in the cloud. The premises includes a data analytics system that leverages machine learning and a system that provides policies and notices through a display at the location and on an online secured dashboard for the owners and designated personnel.
The current invention solves the crucial problem of improving security, operations, and MAP in places with vertical cartoning machines. If the monitoring of plants is based on traditional systems, they are often incapable of providing real-time analysis and prognostic information, if not targeting the situation needless to say respond to dangerous conditions too late or operate inefficiently and waste time and money caused by machine downtimes. Comprehensive implementation of a monitoring and a management system within the scope of the invented means puts less reliance on human judgment, equipment breakdown and hazards within the environment. It enables such assessment to be done continuously which makes it possible to protect employees and machinery from unnecessary jeopardy in a more efficient manner, hence, the level of safety, productivity, and operational costs are all improved.
CN103935568B: The invention discloses a kind of boxlike intelligent product flexible package manufacturing line, comprise the first drum conveying line, second tin roller travel line, manufacturing line MES system, WINCC system, robot palletizer and four control housings; Be provided with scanner between the upper line segment of the first drum conveying line and lower line segment successively, film sealing machine, transfer enter punch-out equipment, word cartoning sealing machine and an Armofangle case sealer; Film sealing machine and transfer enter between punch-out equipment to be provided with casing; Pallet, wrapping machine and the first compress is provided with successively between the upper line segment of second tin roller travel line and lower line segment; Robot palletizer is arranged between the lower line segment of the first drum conveying line and the upper line segment of second tin roller travel line.The present invention can the boxlike product of compatible multiple different profile, can full-automatic intelligent complete reach the standard grade, sealer, vacuumize, unpack, cartonning, joint sealing, weigh, pack, piling, mark, the operation such as roll off the production line; Applicability of the present invention is wide, is applicable to the packaging of a lot of product of communications industry.
RESEARCH GAP: AI-driven behavior analysis and health monitoring for industrial vertical cartoning factories, using a multi-sensor vision device integrated with nRF and LoRa networks for real-time safety insights, is the novelty of the system.
US10832015B2: An on-the-fly package label printing system for a variety of packages containing a variety of products printed on each package of a web of successive packages a permanent record indicative of the product weight and product ingredients in the package. The system comprises a package handling device, a clock, and a printer system.
RESEARCH GAP: AI-driven behavior analysis and health monitoring for industrial vertical cartoning factories, using a multi-sensor vision device integrated with nRF and LoRa networks for real-time safety insights, 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.
This development is a clear enhancement of an existing system-oriented technology that provides safety and optimizes working processes in industrial vertical cartoning plants through tracking behavior and health in an instantaneous manner. The system is available) to aid business processes in capturing, processing and interpreting image and motion data through an integrated multi sensor geo-network, which performs environmental surveillance, machine status monitoring and and observes workers' actions. In time real time mode, temperature, movement, electricity, and pressure, and some other parameters are measured and analyzed. This data is interpreted by more advanced algorithms and ML models that help in the detection of abnormal functional behavior and raise flags that allow for forecasting for preventive maintenance practices to be implemented therefore lowering the risk of equipment breakdown.
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 development is a clear enhancement of an existing system-oriented technology that provides safety and optimizes working processes in industrial vertical cartoning plants through tracking behavior and health in an instantaneous manner. The system is available) to aid business processes in capturing, processing and interpreting image and motion data through an integrated multi sensor geo-network, which performs environmental surveillance, machine status monitoring and and observes workers' actions. In time real time mode, temperature, movement, electricity, and pressure, and some other parameters are measured and analyzed. This data is interpreted by more advanced algorithms and ML models that help in the detection of abnormal functional behavior and raise flags that allow for forecasting for preventive maintenance practices to be implemented therefore lowering the risk of equipment breakdown.
Technical description of the system explains that it is built of three units, which enables data transfer within the industrial premises. The first unit is mounted close to the machines and functions as a smart sensor that obtains visual and environmental data around it. This data is sent to the central unit, which is usually located on the worksite and enables the personnel to see the analytic information in real time, through short-range wireless technology. The information is sent to a central unit, a gateway, which sends the information over long-range wireless communications networks to a cloud variety ensuring that information can be accessed remotely and monitored. This structure assures no data loss in an event of a unit failing, as well as ease of incorporation in any manufacturing design or network architecture.
This innovation in such a way is intuitive because it centers on workplace issues, which are safety, productivity, and compliance. The system helps avoid safety violations by continuously monitoring worker activities and helps determine if further training is needed. The application of cloud computing, data analytics, and technologies enables managers to optimize an operational workflow through prescriptive insights and ensure all equipment is operated within safe parameters. Likewise, this system allows the establishment of an adequate electronic logbook of operations and maintenance records with respect to compliance requirements and ease of audit.
BEST METHOD OF WORKING
The VisionAnalytical Unit fitted with Jetson Nano, Camera Module, nrf module, temperature sensor, accelerometer, current sensor, pressure sensor, buzzer, and power supply, allows instant tracking and evaluation of the performance of workers and machines. This configuration makes it possible for unsafe conditions to be quickly identified and for safety measures to be Automated in Industry.
The function of CentralCollector Unit is expanded by the integration of extra features such as Raspberry Pi Board, nRF Module, LoRaWAN Module, HMI display, and Power Supply, as the system enables localized analytics and data visualization. This helps operators in the direct supervision of machines and workers enabling a fast response to critical situations.
The EndGateway Unit has a Processing Board, LoRaWAN Module, GSM Modem, Buzzer, and Power Supply, which enables it to remotely access current factory operating conditions so that authorized people can receive alerts and monitor far conditions at any time and from anywhere, which improves the flexibility of work.
The HMI Display Interface which is part of the CentralCollector Unit improves the conditions of operators by providing a powerful feedback mechanism in the form of a display which is relevant in real time and thus improving the situational awareness and management of the safety of workers and the health of machines within the factory.
The centrally positioned nRF and LoRa WAN Modules installed in the VisionAnalytical and CentralCollector Units guarantee secure, fast-speed link for the communication of the factory units with the Cloud server in real-time, which ensures permanent observation and instant reaction to any changes in the environment or the production process in the industry.
ADVANTAGES OF THE INVENTION
1. The development of the system includes the use of the camera module and jetson nano. It was stated that the worker behavior and machine operation can be analyzed instantly by capturing visual data in real time. This helps avoid safety incidents due to the observation of unsafe actions or conditions.
2. Sensors such as temperature sensors, accelerometers, current sensors and pressure sensors are built into the system for constant monitoring of the main parameters that affect the working environment or the system's operation. The multi sensor approach safeguards the machine health by ensuring that there is increased coverage for any anomalies and breakdowns are avoided at an early stage.
3. With the assistance of the LoRaWAN Module and nRF Module, reliable communication can be achieved by allowing both short-range and long-range communication over a distributed industrial area. This makes it possible for on-site and remote management to get the same reliable data regardless of their location.
4. The CentralCollector Unit also integrates an HMI Display Unit and is powered by Raspberry Pi, which assists in presenting data visually in real time to the onsite workers thus improving their decision making reducing response time.
5. Via the EndGateway Unit, which has the Mirko and GSM modem, data is sent out to a customized cloud server which provides access to the management for AI telemetrics storage anywhere. Management can access the dashboard on the web overprevious and current data and make projections about the future with appropriate maintenance to increase efficiency and resources.
, Claims:1. An ai-integrated vision device with machine learning for behavior analysis and health monitoring in industrial vertical cartoning factories using nrf and lora networks comprises VisionAnalytical Unit fitted with Jetson Nano, Camera Module, nrf module, temperature sensor, accelerometer, current sensor, pressure sensor, buzzer, and power supply, allows instant tracking and evaluation of the performance of workers and machines, this configuration makes it possible for unsafe conditions to be quickly identified and for safety measures to be Automated in Industry.
2. The device as claimed in claim 1, wherein the function of CentralCollector Unit is expanded by the integration of extra features such as Raspberry Pi Board, nRF Module, LoRaWAN Module, HMI display, and Power Supply, as the system enables localized analytics and data visualization, this helps operators in the direct supervision of machines and workers enabling a fast response to critical situations.
3. The device as claimed in claim 1, wherein the EndGateway Unit has a Processing Board, LoRaWAN Module, GSM Modem, Buzzer, and Power Supply, which enables it to remotely access current factory operating conditions so that authorized people can receive alerts and monitor far conditions at any time and from anywhere, which improves the flexibility of work.
4. The device as claimed in claim 1, wherein the HMI Display Interface which is part of the CentralCollector Unit improves the conditions of operators by providing a powerful feedback mechanism in the form of a display which is relevant in real time and thus improving the situational awareness and management of the safety of workers and the health of machines within the factory.
5. The device as claimed in claim 1, wherein the centrally positioned nRF and LoRa WAN Modules installed in the VisionAnalytical and CentralCollector Units guarantee secure, fast-speed link for the communication of the factory units with the Cloud server in real-time, which ensures permanent observation and instant reaction to any changes in the environment or the production process in the industry.

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