Machine vision based intelligent oven for baking inspection of cupcake: Design and implementation

Mehdizadeh, Saman Abdanan

doi:10.1016/j.mechatronics.2022.102746

Cited by 5 publications

(2 citation statements)

References 22 publications

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“…Abdanan (2022) built a smart baking oven to monitor the color and texture characteristics of a cupcake during baking and classified the products as cooked or undercooked using a digital camera. Based on the feature selection algorithm used, the most important feature combinations were G (RGB color space), b (Lab color space), kurtosis of a (Lab color space), and energy.…”

Section: Applications Of Imaging Systems For the Quality Assessment O...mentioning

confidence: 99%

Applications of imaging systems for the assessment of quality characteristics of bread and other baked goods: A review

Olakanmi

Jayas

Paliwal

2023

Comp Rev Food Sci Food Safe

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One of the most widely researched topics in the food industry is bread quality analysis. Different techniques have been developed to assess the quality characteristics of bakery products. However, in the last few decades, the advancement in sensor and computational technologies has increased the use of computer vision to analyze food quality (e.g., bakery products). Despite a large number of publications on the application of imaging methods in the bakery industry, comprehensive reviews detailing the use of conventional analytical techniques and imaging methods for the quality analysis of baked goods are limited. Therefore, this review aims to critically analyze the conventional methods and explore the potential of imaging techniques for the quality assessment of baked products. This review provides an in-depth assessment of the different conventional techniques used for the quality analysis of baked goods which include methods to record the physical characteristics of bread and analyze its quality, sensory-based methods, nutritional-based methods, and the use of dough rheological data for end-product quality prediction. Furthermore, an overview of the image processing stages is presented herein. We also discuss, comprehensively, the applications of imaging techniques for assessing the quality of bread and other baked goods.These applications include studying and predicting baked goods' quality characteristics (color, texture, size, and shape) and classifying them based on these features. The limitations of both conventional techniques (e.g., destructive, laborious, error-prone, and expensive) and imaging methods (e.g., illumination, humidity, and noise) and the future direction of the use of imaging methods for quality analysis of bakery products are discussed.

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Section: Applications Of Imaging Systems For the Quality Assessment O...mentioning

confidence: 99%

Applications of imaging systems for the assessment of quality characteristics of bread and other baked goods: A review

Olakanmi

Jayas

Paliwal

2023

Comp Rev Food Sci Food Safe

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“…Even online inspection will seriously limit the running speed of the production line, because when the speed of the production line exceeds 30 meters/minute, the human eye is no longer competent for the inspection work [4] . With the rapid development of computer technology, machine vision can be fully competent for the detection speed of 100 meters per minute, and it can reach 1000 meters per minute if special equipment is used [5,6] . Such detection speed will greatly promote the improvement of production line speed, thus greatly improving production efficiency.…”

Section: Introductionmentioning

confidence: 99%

Research on detection ability of cigarette package appearance detection device

Yao,

Liu,

Yan

et al. 2024

Fourth International Conference on Machine Learning and Computer Application (ICMLCA 2023)

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In this paper, the problem of nonstandard samples of cigarette packet found in daily patrol inspection is taken as the starting point. Based on the research of equipment testing principle, we designed a method to obtain the minimum detection limit of the cigarette package appearance detection device. Through a large number of simulation experiments, accurate and reliable experimental data conclusions are obtained, the quantitative evaluation of the detection capability of the cigarette packet appearance detection device is realized, and provided a quantitative reference for the validity verification of the cigarette package appearance detection device.

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Influence of pumpkin seed powder on the characteristic properties of whole wheat cake

De,

Bharti,

Pradhan

et al. 2024

Advances in Biopolymers for Food Science and Technology

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Machine vision based intelligent oven for baking inspection of cupcake: Design and implementation

Cited by 5 publications

References 22 publications

Applications of imaging systems for the assessment of quality characteristics of bread and other baked goods: A review

Applications of imaging systems for the assessment of quality characteristics of bread and other baked goods: A review

Research on detection ability of cigarette package appearance detection device

Influence of pumpkin seed powder on the characteristic properties of whole wheat cake

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