VISION BASED EXTERNAL COUNTER DEVICE TO MONITOR THE NUMBER OF TANK-BASED ULTRASONIC CRATE WASHER WASHED TO IMPROVE WORKFORCE AND EFFICIENCY IN THE CHEMICAL INDUSTRY

Abstract

A vision based external counter device to monitor the number of tank-based ultrasonic crate washer washed to improve workforce and efficiency in the chemical industry comprises IoT connectivity, AI-driven analytics, and a Raspberry Pi Processor Board (160), Camera Neural Stick (15), Touch HMI Display (110), Speaker (130), and Power Supply (102), the VECETCMote (100) offers real-time insights, recommendations, and operational efficiency improvements this innovation's Raspberry Pi Processor Board allows for real-time monitoring and analysis of tank-based ultrasonic crate washer cycles in the chemical industry by streamlining the processing and integration of vision-based data.

Specification

Description:FIELD OF THE INVENTION
This invention relates to vision based external counter device to monitor the number of tank-based ultrasonic crate washer washed to improve workforce and efficiency in the chemical industry.
BACKGROUND OF THE INVENTION
This state-of-the-art device offers a sophisticated way to improve the performance of chemical industry tank-based ultrasonic crate washers. Using cutting-edge vision-based technology, the gadget accurately tracks and keeps an eye on washer cycles in real time. Through the seamless integration of IoT and cloud technologies, the system gathers critical data, such as operational analytics and working hours, enabling an extensive evaluation of overall efficiency. This data is analyzed by the machine learning algorithm, which gives management and operators insightful information.
One major challenge facing the chemical industry is successfully monitoring and optimizing the performance of tank-based ultrasonic crate washers. The industry's ability to assess worker productivity and operational efficiency is hindered by the lack of a thoroughly integrated system for accurately counting and assessing washer cycles. Current methods usually rely on manual tracking, which leads to errors, inefficiencies, and a failure to take use of important insights for enhancement.
CN106388743B: The invention discloses an ultrasonic treatment environment-friendly tableware cleaning machine and method, comprising a main body, a control device, an ultrasonic cleaner, a rotary tableware basket, a cleaning device, an oil-water separator and a circulating device; the main body is a columnar space surrounded by the side wall, the upper cover and the bottom plate; the side wall outside the main body is connected with an oil-water separator through a pipeline; ultrasonic cleaners are symmetrically arranged on the inner walls of the two sides of the bottom of the inner side of the main body; a rotating shaft penetrating through the bottom plate is arranged in the center of the bottom plate in the main body, and the rotary tableware basket is fixedly arranged on the rotating shaft in the main body; a cleaning device is arranged above the rotary tableware basket; a circulating device and a control device are arranged below the bottom plate of the main body; one side of the bottom plate of the main body is provided with a slag hole, one end of the circulating device is connected with the slag hole, and the other end of the circulating device is connected with the cleaning device. The invention is green, environment-friendly, pollution-free, short in washing time and water-saving.
RESEARCH GAP: Wireless Counter based on Vision Technology for Tank-based Ultrasonic Crate Washer in industrial environments is the novelty of the system.
CN109137357B: The invention discloses a washing machine with an ultrasonic washing device, comprising: a housing, in which a washing tub is provided; an ultrasonic washing device which independently performs pretreatment of the laundry or washing of the laundry by using an ultrasonic washing method; the ultrasonic washing device can be arranged on the washing machine in a concealed mode. The washing machine can not only clean the whole clothes, but also quickly and thoroughly remove local stubborn stains on the clothes. The ultrasonic vibration end of the ultrasonic generating device is in direct contact with the soaked clothes to be washed, so that the consumption of the soft clothes to ultrasonic waves can be reduced, the ultrasonic effect is enhanced, the resonance of deeper stains on the clothes can be caused, and the aim of thoroughly removing the stains is fulfilled. The ultrasonic washing device is hidden and installed, and is exposed only when being used, so that the appearance integrity of the washing machine can be kept, the obstruction and the influence on the normal washing of the washing machine can be avoided, and the use by a user is facilitated.
RESEARCH GAP: Wireless Counter based on Vision Technology for Tank-based Ultrasonic Crate Washer in industrial environments 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.
Using cloud computing, IoT connectivity, vision-based counting, and AI-driven analytics, this creative solution allows for the efficient monitoring and improvement of Tank-based Ultrasonic Crate Washer processes in the Chemical Industry. A Raspberry Pi Processor Board, a camera, a Neural Stick for AI processing, a proximity sensor for contextual awareness, a Touch HMI Display for user interaction, a speaker for audio feedback, and a dependable power source are just a few of the cutting-edge technologies that make up the VECETCMote. One essential component of the system is the vision-based live video monitoring, which records footage of the tank-based ultrasonic crate washer in action in real time. The Neural Stick processes the video stream and uses neural networks to count and identify washer cycles. By adding contextual information, the proximity sensor records details that could affect the washing procedure. Using IoT technologies, the counted data is sent to a customized cloud server together with timestamps and other pertinent metrics.
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.
Using cloud computing, IoT connectivity, vision-based counting, and AI-driven analytics, this creative solution allows for the efficient monitoring and improvement of Tank-based Ultrasonic Crate Washer processes in the Chemical Industry. A Raspberry Pi Processor Board, a camera, a Neural Stick for AI processing, a proximity sensor for contextual awareness, a Touch HMI Display for user interaction, a speaker for audio feedback, and a dependable power source are just a few of the cutting-edge technologies that make up the VECETCMote. One essential component of the system is the vision-based live video monitoring, which records footage of the tank-based ultrasonic crate washer in action in real time. The Neural Stick processes the video stream and uses neural networks to count and identify washer cycles. By adding contextual information, the proximity sensor records details that could affect the washing procedure. Using IoT technologies, the counted data is sent to a customized cloud server together with timestamps and other pertinent metrics.
This cloud server serves as a central location for processing and storing data produced by VECETCMote, as well as for figuring out working hours and assessing the volume of work completed. The authorized operator's input is also made easier by the cloud server, which adds to the large dataset that can be analyzed. The efficiency of the washing process is evaluated by the machine learning algorithm taking into account parameters entered by the operator, time-related data, and the number of cycles. The program produces ideas for improvements to maximize workforce and overall efficiency in the chemical industry based on this data. The outcome of the algorithm is shown to the operator in real time on the Touch HMI Display. Insights and recommendations can also be accessed via a mobile app and personalized web dashboard, providing a thorough overview of system performance. Based on the recommendations provided by the AI, this connectivity helps operators and management to make well-informed decisions and put changes into place to increase efficiency.
BEST METHOD OF WORKING
Accurately counting Tank-based Ultrasonic Crate Washer cycles through the use of IoT connectivity, AI-driven analytics, and a Raspberry Pi Processor Board, Camera, Neural Stick, Touch HMI Display, Speaker, and Power Supply, the VECETCMote offers real-time insights, recommendations, and operational efficiency improvements.
This innovation's Raspberry Pi Processor Board allows for real-time monitoring and analysis of tank-based ultrasonic crate washer cycles in the chemical industry by streamlining the processing and integration of vision-based data.
Real-time footage of Tank-based Ultrasonic Crate Washer processes is captured by the Camera interfaced in VECETCMote. This allows for vision-based live video monitoring, which is critical for precise cycle counting and for giving important data for AI-driven analytics in the Chemical Industry.
The neural stick that is attached to the VECETCMote serves as a specialized accelerator for AI processing, improving the effectiveness of live video monitoring based on vision by enabling quick neural network computations for precise counting of cycles in the Chemical Industry's tank-based ultrasonic crate washers.
The Proximity Sensor interfaced with VECETCMote is used to improve contextual awareness by gathering more information about the Tank-based Ultrasonic Crate Washer operations. This information is useful for the Chemical Industry's AI-driven analytics and vision-based live video monitoring.
The Touch HMI Display, which is interfaced on VECETCMote, is used as an interactive interface for the Chemical Industry's Tank-based Ultrasonic Crate Washer processes. It offers real-time feedback and displays AI-generated insights, recommendations, and operational data for effective monitoring and decision-making.
To enhance the user experience and enable smooth interaction and operation in the chemical industry, the speaker linked to the VECETCMote is utilized to offer auditory feedback and real-time warnings and alerts related to Tank-based Ultrasonic Crate Washer cycles.
ADVANTAGES OF THE INVENTION
1. By combining AI-driven analytics, IoT connectivity, and vision-based live video monitoring, the VECETCMote revolutionizes the chemical industry. This combination provides real-time information, recommendations, and operational efficiency gains by accurately counting Tank-based Ultrasonic Crate Washer cycles.
2. This ground-breaking invention's camera records live footage of the operations of tank-based ultrasonic crate washers. This capacity makes it possible to monitor live video in real time using vision, which is critical for accurate cycle counting and for supplying data for AI-driven analytics in the chemical industry.
3. A crucial element of this creative approach is the Neural Stick, which serves as a customized accelerator for AI processing. It allows for quick neural network computations, which greatly improves the effectiveness of vision-based live video surveillance. With this improvement, the Chemical Industry's tank-based ultrasonic crate washer cycles will be accurately counted.
4. This innovation's key component, the Touch HMI Display, serves as an interactive interface. In addition to displaying operational data and AI-generated insights and recommendations, it offers real-time feedback. This function helps with effective decision-making and monitoring in the Tank-based Ultrasonic Crate Washer operations used in the Chemical Industry.
5. This cutting-edge system's Speaker provides aural feedback to improve user experience. It facilitates smooth communication and operation within the chemical industry by providing real-time notifications and alerts about cycles of tank-based ultrasonic crate washers.
, Claims:1. A vision based external counter device to monitor the number of tank-based ultrasonic crate washer washed to improve workforce and efficiency in the chemical industry comprises IoT connectivity, AI-driven analytics, and a Raspberry Pi Processor Board (160), Camera Neural Stick (15), Touch HMI Display (110), Speaker (130), and Power Supply (102), the VECETCMote (100) offers real-time insights, recommendations, and operational efficiency improvements.
2. The device as claimed in claim 1, wherein this innovation's Raspberry Pi Processor Board allows for real-time monitoring and analysis of tank-based ultrasonic crate washer cycles in the chemical industry by streamlining the processing and integration of vision-based data.
3. The device as claimed in claim 1, wherein real-time footage of Tank-based Ultrasonic Crate Washer processes is captured by the Camera interfaced in VECETCMote, this allows for vision-based live video monitoring, which is critical for precise cycle counting and for giving important data for AI-driven analytics in the Chemical Industry.
4. The device as claimed in claim 1, wherein the neural stick that is attached to the VECETCMote serves as a specialized accelerator for AI processing, improving the effectiveness of live video monitoring based on vision by enabling quick neural network computations for precise counting of cycles in the Chemical Industry's tank-based ultrasonic crate washers.
5. The device as claimed in claim 1, wherein the Proximity Sensor interfaced with VECETCMote is used to improve contextual awareness by gathering more information about the Tank-based Ultrasonic Crate Washer operations, this information is useful for the Chemical Industry's AI-driven analytics and vision-based live video monitoring.
6. The device as claimed in claim 1, wherein the Touch HMI Display, which is interfaced on VECETCMote, is used as an interactive interface for the Chemical Industry's Tank-based Ultrasonic Crate Washer processes, it offers real-time feedback and displays AI-generated insights, recommendations, and operational data for effective monitoring and decision-making.
7. The device as claimed in claim 1, wherein to enhance the user experience and enable smooth interaction and operation in the chemical industry, the speaker linked to the VECETCMote is utilized to offer auditory feedback and real-time warnings and alerts related to Tank-based Ultrasonic Crate Washer cycles.

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