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Design an Intelligent Candy Inspection System with AIoT

Published: 13 October 2023 Publication History

Abstract

In the global community, countries are paying more and more attention to the monitoring and control of food safety. The food industry is investing more resources in the production chain to improve the process. Food products may be affected by disturbances or contamination during production, processing, storage, and transportation. This causes a variety of defects in the food, which can damage the quality of the food. Food defects are classified as problems with the contents and appearance, mostly changes in food substances or damage. If the food is affected by pathogenic microorganisms and deteriorates, it will also change the appearance of the food. The problematic food will bring damage to the health of customers. Through appropriate inspection mechanisms, it is possible to prevent and reduce product recalls and processing costs. As well as satisfying consumer expectations and needs. The cost savings to the food industry are substantial. To overcome this important problem, this study utilizes artificial intelligence (AI), artificial intelligent Internet of Things (AIoT), software engineering, and data analysis techniques to build a software and hardware system with an intelligent fondant inspection system. The original manual inspection mechanism is further upgraded to an intelligent inspection system. We designed the inspection machine according to the needs of the production line and designed it as a platform for self-training. In addition to saving more manpower for manufacturers, the system will continue to grow through self-training and tuning model functions. We hope to achieve higher inspection accuracy and contribute to food safety.

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cover image ACM Other conferences
IECC '23: Proceedings of the 2023 5th International Electronics Communication Conference
July 2023
100 pages
ISBN:9798400708855
DOI:10.1145/3616480
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Association for Computing Machinery

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Publication History

Published: 13 October 2023

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Author Tags

  1. Artificial Intelligence of Things
  2. Defect Detection
  3. Intelligence Candy Inspection System

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