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Computer vision technology in the food and beverage industries

Overview

The use of computer vision systems to control manufacturing processes and product quality has become increasingly important in food processing. Computer vision technology in the food and beverage industries reviews image acquisition and processing technologies and their applications in particular sectors of the food industry.

Part one provides an introduction to computer vision in the food and beverage industries, discussing computer vision and infrared techniques for image ...

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Computer Vision Technology in the Food and Beverage Industries

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Overview

The use of computer vision systems to control manufacturing processes and product quality has become increasingly important in food processing. Computer vision technology in the food and beverage industries reviews image acquisition and processing technologies and their applications in particular sectors of the food industry.

Part one provides an introduction to computer vision in the food and beverage industries, discussing computer vision and infrared techniques for image analysis, hyperspectral and multispectral imaging, tomographic techniques and image processing. Part two goes on to consider computer vision technologies for automatic sorting, foreign body detection and removal, automated cutting and image analysis of food microstructure. Current and future applications of computer vision in specific areas of the food and beverage industries are the focus of part three. Techniques for quality control of meats are discussed alongside computer vision in the poultry, fish and bakery industries, including techniques for grain quality evaluation, and the evaluation and control of fruit, vegetable and nut quality.

With its distinguished editor and international team of expert contributors, Computer vision technology in the food and beverage industries is an indispensible guide for all engineers and researchers involved in the development and use of state-of-the-art vision systems in the food industry.

  • Discusses computer vision and infrared techniques for image analysis, hyperspectral and multispectral imaging, tomographic techniques and image processing
  • Considers computer vision technologies for automatic sorting, foreign body detection and removal, automated cutting and image analysis of food microstructure
  • Examines techniques for quality control and computer vision in various industries including the poultry, fish and bakery, fruit, vegetable and nut industry
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Product Details

Meet the Author

Professor Da-Wen Sun is a world authority in food engineering research and education. He is a member of the Royal Irish Academy, the highest academic honour in Ireland, and is also a member of Academia Europaea (The Academy of Europe). His main research activities include cooling, drying, and refrigeration processes and systems; quality and safety of food products; bioprocess simulation and optimization; and computer vision technology. His many scholarly works have become standard reference materials for researchers in such areas as computer vision, computational fluid dynamics modelling and vacuum cooling.
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Table of Contents

Part 1 An introduction to computer vision in the food and beverage industries: Computer vision and infrared techniques for image acquisition in the food and beverage industries; Hyperspectral and multispectral imaging in the food and beverage industries; Tomographic techniques for computer vision in the food and beverage industries; Image processing techniques for computer vision in the food and beverage industries

Part 2
Computer vision applications in food and beverage processing operations/technologies: Computer vision in food processing: an overview; Computer vision for automatic sorting in the food industry; Computer vision for foreign body detection and removal in the food industry; Automated cutting in the food industry using computer vision; Image analysis of food microstructure

Part 3
Current and future applications of computer vision for quality control and processing of particular products: Computer vision in the fresh and processed meat industries; Real-time ultrasound (RTU) imaging methods for quality control of meats; Computer vision in the poultry industry; Computer vision in the fish industry; Fruit, vegetable and nut quality evaluation and control using computer vision; Grain quality evaluation by computer vision; Computer vision in the bakery industry; Development of multispectral imaging systems for quality evaluation of cereal grains and grain products
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