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Using Pattern Recognition in Decoding Hazard Analysis and Critical Control Points (HACCP) for Quality Assurance: The Case for a Start-Up Company

Using Pattern Recognition in Decoding Hazard Analysis and Critical Control Points (HACCP) for Quality Assurance: The Case for a Start-Up Company
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Author(s): Rahul Bhaskar (California State University Fullerton, USA)and Au Vo (Claremont Graduate University, USA)
Copyright: 2018
Pages: 14
Source title: Computer Vision: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-5225-5204-8.ch075

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Abstract

Jack Grealish is an aspiring entrepreneur. During his undergraduate in UCLA, he worked in his father's business, which focused on selling specialized foods. He became fascinated with the food industry and find out more what it entails. His investigation has unveiled the landscape of the food industry. Furthermore, he discovered that the hazard analysis and critical control points (HACCP) system implemented in the food industry was rather disjointed and could benefit from automation. He conducted a preliminary research about current HACCP development and determine to plunge ahead. Jack ponders about the possibility of integrating different pattern recognition methodologies in HACCP processes to improve the effectiveness of overall quality control at his company.

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