VISION-BASED QC EDGE DEVICE FOR MONITORING PRODUCT QUALITY IN WARP KNITTING TRICOT MACHINE FOR FINE PRODUCT MANUFACTURING AGRICULTURE BALER

Abstract

A Vision-Based QC Edge Device for Monitoring Product Quality in Warp Knitting Tricot Machine for Fine Product Manufacturing Agriculture Baler, comprises the VQCDM_PQMote, outfitted with a Cortex-A710 Processor Board, ESP01 Wifi Board, UART Camera Module, RTC Module, Actuator, Touch Screen HMI Display, Indicator, Piezo Buzzer, and Power Supply. This device is used to continuously monitor product quality, provide real-time alerts to operators, and facilitate remote monitoring via cloud-based dashboards. The Cortex-A710 Processor Board integrated into the VQCDM_PQMote offers the computational power required for processing high-resolution video data in real-time and executing machine learning algorithms to ensure precise and effective quality control in warp knitting tricot machines for agriculture baler manufacturing. The ESP01 WiFi Board enables smooth communication with a cloud server, allowing for remote monitoring, data transmission, and alerts for operators and authorities. Additionally, the UART Camera Module captures live video feeds, facilitating real-time analysis of product quality, while the Touch Screen HMI Display provides operators with instant visual feedback on detected quality issues, enhancing their oversight and management of the production process.

Specification

Description:FIELD OF THE INVENTION
This invention relates to a Vision-Based QC Edge Device for Monitoring Product Quality in Warp Knitting Tricot Machine for Fine Product Manufacturing Agriculture Baler
BACKGROUND OF THE INVENTION
The problem of putting effective quality control procedures into practice in the manufacturing of warp knitting tricot machines intended for agricultural baler production is addressed by this creative approach. In the past, manual inspection methods have shown to be labor-intensive, prone to human error, and usually insufficient in detecting subtle defects in the products.CN113832601A - This invention discloses a double-needle bed three-jacquard warp knitting machine equipped with three jacquard devices and compound needles, allowing for complex patterns with jacquard relief effects. The machine's guide bars enable simultaneous or independent weaving on the front and back needle beds, creating fabrics with three-dimensional, concave-convex textures and a wide range of designs, expanding the jacquard process applications for double-needle bed machines.
Research Gap: The innovation here is an edge device-based technology developed specifically for the quality control (QC) machine of warp knitting tricot machines.
CN103741366A - This patent describes a fall plate jacquard warp-knitted machine with a fall plate device and jacquard guide bars. The knitting elements use eccentric link transmission mechanisms, ensuring stable transmission and high startup speed. Jacquard guide bars are controlled by a servo motor, allowing precise transverse motion and versatile design capabilities for creating rich pattern types.
Research Gap: The novelty introduced here is an edge device-based technology designed for quality control in warp knitting tricot machines.
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 all-encompassing strategy not only ensures the consistency and dependability of the things produced, but it also increases operational efficacy and reduces waste, which improves overall production performance and produces higher-quality outcomes. This development serves as a cutting-edge quality control system, monitoring and maintaining product quality throughout the manufacturing of warp knitting tricot machines used in the production of agricultural balers.
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: 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 VQCDM_PQMote invention enables real-time product quality monitoring and control within warp knitting tricot machines by combining cutting-edge vision-based technology, edge computing capabilities, and IoT integration. This device uses a high-resolution camera module to record live footage while the product is being manufactured. On the Cortex-A710 Processor Board, the stream is locally processed using machine learning algorithms that have been trained on datasets unique to the product quality characteristics. These algorithms use real-time visual data analysis to spot variations or flaws in manufactured goods. When the device notices a quality problem, it sends out alerts across different channels. The Touch Screen HMI Display provides operators with instantaneous visual feedback, identifying the type of quality issue that has been found. It is supplemented by indicator lights and a piezo buzzer for aural alerts, which guarantee prompt operator notice.
Concurrently, the gadget uses the ESP01 Wifi Board to connect to a cloud server, enabling IoT integration. Accessible only to authorized staff, this cloud server houses a customized web dashboard that offers comprehensive data on identified quality issues for prompt evaluation and resolution. An actuator on the device can stop the warp knitting tricot machine if there is a serious risk to product integrity or safety due to a quality issue. This automatic intervention minimizes waste and equipment damage by preventing the manufacturing of subpar or damaged items.Furthermore, the gadget has the ability to email notifications to specific recipients, guaranteeing that pertinent stakeholders are promptly informed of quality difficulties. Proactive communication improves overall product quality and operational efficiency by streamlining decision-making and corrective measures.
BEST METHOD OF WORKING
1. In warp knitting tricot machines for agriculture baler manufacturing, the VQCDM_PQMote, which is outfitted with a Cortex-A710 Processor Board, ESP01 WifiBoard, UART Camera Module, RTC Module, Actuator, Touch Screen HMI Display, Indicator, Piezo Buzzer, and Power Supply, is used to continuously monitor product quality, give operators real-time alerts, and facilitate remote monitoring via cloud-based dashboards.
2. The computational power required for processing high-resolution video data in real-time and executing machine learning algorithms to enable precise and effective quality control in warp knitting tricot machines for agriculture baler manufacturing is provided by the Cortex-A710 Processor Board, which is integrated into VQCDM_PQMote.
3. The VQCDM_PQMote device's integrated ESP01 WiFi Board allows for smooth communication with a cloud server, enabling remote monitoring, data transmission, and alerts for operators and authorities in the manufacturing of warp knitting tricot machines for agriculture baler manufacturing.
4. In the process of manufacturing warp knitting tricot machines for agriculture baler manufacturing, the UART Camera Module that is attached with VQCDM_PQMote is used to capture live video feeds of the manufacturing process, facilitating real-time analysis of product quality through vision-based technology and machine learning algorithms.
5. The Touch Screen HMI Display integrated into the VQCDM_PQMote is utilized to give operators instant visual feedback on quality issues that are detected, improving their capacity to oversee and manage the production process of warp knitting tricot machines for agriculture baler manufacturing.
ADVANTAGES OF THE INVENTION
1. In warp knitting tricot machines used in agriculture baler manufacturing, the VQCDM_PQMote serves as an innovative quality control edge device. It uses vision-based technology, machine learning algorithms, and IoT integration to continuously monitor product quality, deliver real-time alerts to operators, and enable remote monitoring via cloud-based dashboards.
2. The Cortex-A710 Processor Board provides the computational power required to process high-resolution video data in real-time and to run machine learning algorithms. This allows for accurate and effective quality control in warp knitting tricot machines used in the production of agriculture balers.
3. The ESP01 WiFi Board enables smooth connection between the VQCDM_PQMote device and a cloud server, allowing operators and authorities involved in warp knitting tricot machines used in agriculture baler manufacture to monitor, transmit data, and receive alarms remotely.
4. Using vision-based technology and machine learning algorithms, the UART Camera Module records live video feeds of the manufacturing process, allowing for the real-time study of product quality in warp knitting tricot machines used in the production of farm balers.
5. The Touch Screen HMI Display enhances operators' ability to monitor and control the manufacturing process of warp knitting tricot machines for farm baler production by providing them with immediate visual feedback regarding discovered quality issues.

, Claims:1. A Vision-Based QC Edge Device for Monitoring Product Quality in Warp Knitting Tricot Machine for Fine Product Manufacturing Agriculture Baler, comprises the VQCDM_PQMote (10), which is outfitted with a Cortex-A710 Processor Board (10I), ESP01 Wifi Board (10H), UART Camera Module (10G), RTC Module (10A), Actuator (10B), Touch Screen HMI Display (10C), Indicator (10F), Piezo Buzzer (10E), and Power Supply (10D) and this device is used to continuously monitor product quality, provide operators with real-time alerts, and facilitate remote monitoring via cloud-based dashboards.
2. The system, as claimed in Claim 1, wherein the Cortex-A710 Processor Board (10I) integrated into the VQCDM_PQMote provides the computational power required for processing high-resolution video data in real-time and executing machine learning algorithms to enable precise and effective quality control in warp knitting tricot machines for agriculture baler manufacturing.
3. The system, as claimed in Claim 1, wherein the integrated ESP01 WiFi Board (10H) of the VQCDM_PQMote allows for smooth communication with a cloud server, enabling remote monitoring, data transmission, and alerts for operators and authorities in the manufacturing of warp knitting tricot machines for agriculture baler manufacturing.
4. The system, as claimed in Claim 1, wherein the UART Camera Module (10G) attached to the VQCDM_PQMote is utilized to capture live video feeds of the manufacturing process, facilitating real-time analysis of product quality through vision-based technology and machine learning algorithms.
5. The system, as claimed in Claim 1, wherein the Touch Screen HMI Display (10C) integrated into the VQCDM_PQMote provides operators with instant visual feedback on quality issues detected, improving their capacity to oversee and manage the production process of warp knitting tricot machines for agriculture baler manufacturing.

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