Evaluation of a Machine Vision System Applied to Quality Control in a Liquid Filling, Lid and Labeling Line for Bottles

Manzano, Julio Eduardo Mejía; Bolaños, Thalia Alejandra Hoyos; Muñoz, Miguel Ángel Ortega; Arenas, Victoria Eugenia Patiño; Orozco, Helmer Paz

doi:10.1007/978-3-030-62554-2_11

Cited by 4 publications

(1 citation statement)

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“…It is obvious that industry 4.0 has fostered the development of automated processes based on the aforementioned data, which show that the majority of study designs used human operators. Consequently, there has been an increase in the application of visual inspection systems to modify image-based inspection and control (Shen et al, 2012, Manish et al 2018, Manzano et al 2020.…”

Section: Discussionmentioning

confidence: 99%

Visual Inspection System Using Image Sensor in Manufacturing Industry

Patel,

Kiran

2023

Proceedings of the International Conference on Industrial Engineering and Operations Management

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Quality inspection is a very important aspect of manufacturing industries. It satisfies some important objectives of manufacturing industries such as decreasing human labour, during subjective judgment destruction of human error, increasing overall profit of the industry and improved quality of the workpiece. To overcome the constraints of conventional inspection system which were very time consuming and lengthy and cost effective; quality inspection using image based sensor is the system for getting maximum product quality in such lesser time. In this paper we focus on quality inspection using image sensor. we will be focusing on how image based sensor inspection is a very efficient solution for conventional non-efficient inspection systems. The results will offer an overview different approaches of visual inspection using image based sensor, its perks and constraints and specific applications in manufacturing industry.

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Section: Discussionmentioning

confidence: 99%