Implementation of Artificial Vision Systems for The Manufacture of Polypropylene Sacks in the Company of Packaging

The manufacturing industry in Colombia encounters considerable challenges that hinder its competitiveness and growth in an increasingly globalized market. Key obstacles include the urgent need to modernize production processes, enhance product quality, and minimize costs stemming from operational inefficiencies. Embracing innovative technologies, such as automation and real-time monitoring, has emerged as a pivotal strategy to address these issues and bolster the sector's performance and resilience. This article describes the implementation of artificial vision systems and sensors at Packaging Company, commercially known as Grupo Excala, whose main activity is the manufacturing of polypropylene sacks. The work presents three main systems: Cartonplast Counter: This system uses a distance sensor to count Cartonplast sheets, adapting to variations in thickness and color. Additionally, a pneumatic mechanism was integrated to enhance counting precision. Fabric Width Measuring System: Using an artificial vision camera and an RPM sensor, this system measures the fabric width in circular looms in real time. The data collected is stored in a database for subsequent analysis. Red Tape Detection System: Color sensors automatically identify, and separate defective sacks marked with red tape, ensuring that these do not reach the final product. Key Benefits Achieved: Increased Precision: Improved accuracy in sheet counting and fabric width measurement. Enhanced Product Quality: Effective elimination of non-conforming products. Process Optimization: Real-time data availability to support decision-making. Together, these technological solutions have significantly contributed to the efficiency and quality of production processes at Grupo Excala. The implementation of artificial vision systems and sensors in the manufacture of polypropylene bags has made it possible to automate critical tasks such as sheet counting, fabric width measurement and defect detection. These innovations have significantly reduced operating times in the company, improving productivity and optimizing processes

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Publication Details

Journal
Journal of Information Systems Engineering & Management
Published
2025-04-18
DOI
https://doi.org/10.52783/jisem.v10i37s.6455
Primary Topic
Industrial Vision Systems and Defect Detection
Type
article
Field-Weighted Citation Impact
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article

Implementation of Artificial Vision Systems for The Manufacture of Polypropylene Sacks in the Company of Packaging

Jaime Alberto Echeverri-Arias
Journal of Information Systems Engineering & Management
Industrial Vision Systems and Defect Detection
article

Implementation of Artificial Vision Systems for The Manufacture of Polypropylene Sacks in the Company of Packaging

Jaime Alberto Echeverri-Arias
article en

Abstract

The manufacturing industry in Colombia encounters considerable challenges that hinder its competitiveness and growth in an increasingly globalized market. Key obstacles include the urgent need to modernize production processes, enhance product quality, and minimize costs stemming from operational inefficiencies. Embracing innovative technologies, such as automation and real-time monitoring, has emerged as a pivotal strategy to address these issues and bolster the sector's performance and resilience. This article describes the implementation of artificial vision systems and sensors at Packaging Company, commercially known as Grupo Excala, whose main activity is the manufacturing of polypropylene sacks. The work presents three main systems: Cartonplast Counter: This system uses a distance sensor to count Cartonplast sheets, adapting to variations in thickness and color. Additionally, a pneumatic mechanism was integrated to enhance counting precision. Fabric Width Measuring System: Using an artificial vision camera and an RPM sensor, this system measures the fabric width in circular looms in real time. The data collected is stored in a database for subsequent analysis. Red Tape Detection System: Color sensors automatically identify, and separate defective sacks marked with red tape, ensuring that these do not reach the final product. Key Benefits Achieved: Increased Precision: Improved accuracy in sheet counting and fabric width measurement. Enhanced Product Quality: Effective elimination of non-conforming products. Process Optimization: Real-time data availability to support decision-making. Together, these technological solutions have significantly contributed to the efficiency and quality of production processes at Grupo Excala. The implementation of artificial vision systems and sensors in the manufacture of polypropylene bags has made it possible to automate critical tasks such as sheet counting, fabric width measurement and defect detection. These innovations have significantly reduced operating times in the company, improving productivity and optimizing processes

Journal of Information Systems Engineering & ManagementVol. 10(37s)
Openalex Percentile: Top 88%
Industrial Vision Systems and Defect Detection
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