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人工智能在包装领域的应用及研究进展

Application and Research Progress in Artificial Intelligence in the Field of Packaging
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摘要 采用文献研究和案例分析的方式,研究人工智能在包装领域中的应用现状,揭示人工智能在包装领域的巨大潜力。首先,对人工智能在包装设计方面的应用进行了阐述,利用人工智能算法进行包装设计优化、个性化包装等;其次,概述了人工智能在三类包装材料中的应用,利用人工智能算法预测及优化包装材料的性能等;最后,探讨了人工智能在包装质量检测方面和商品包装识别的应用,利用图像识别和深度学习技术进行包装质量检测和商品包装识别,提高包装检测的精确度和效率等。通过引入人工智能,包装质量检测和商品包装识别的效率和准确性得到提高,有效减少了由人为因素引起的失误。此外,人工智能在包装材料方面的应用也体现在性能预测与优化上,为推动包装行业的可持续发展提供了有力支持。人工智能不仅在提升设计效率方面发挥着重要作用,还能为包装设计师提供创意灵感。未来设计领域的主导趋势将是人机深度协作。 Using literature research and case study,the current status of the application of artificial intelligence in the field of packaging was studied to reveal the great potential of artificial intelligence in the field of packaging.Firstly,the application of AI in packaging design was described,such as using AI algorithms for packaging design optimization,personalized packaging and so on.Secondly,the application of AI in three kinds of packaging materials was summarized,such as using AI algorithms to predict and optimize the performance of packaging materials and so on.Finally,the application of artificial intelligence in packaging quality inspection and commodity packaging recognition was discussed and researched,such as utilizing image recognition and deep learning technology for packaging quality inspection and commodity packaging recognition to improve the accuracy and efficiency of packaging inspection,etc.Through the introduction of AI,the efficiency and accuracy of packaging quality inspection and commodity packaging identification have been improved,effectively reducing errors caused by human factors.In addition,the application of AI in packaging materials was also reflected in performance prediction and optimization,providing strong support for promoting the sustainable development of the packaging industry.Artificial intelligence not only plays an important role in improving design efficiency,but also provides creative inspiration for packaging designers.The dominant trend in the future design field will be in-depth human-machine collaboration.
作者 郝发义 刘伟丽 HAO Fayi;LIU Weili(College of Communication and Art Design,University of Shanghai for Science and Technology,Shanghai 200093,China)
出处 《包装学报》 2024年第4期81-88,共8页 Packaging Journal
关键词 人工智能 包装设计 图像识别 深度学习技术 质量检测 包装材料 artificial intelligence package design image recognition deep learning technology quality inspection packaging material
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