一种非破坏性的,基于自动编码器的方法来检测可重复使用的食品包装中的缺陷和污染
Anh Minh Truong1, Hiep Quang Luong1
1IPI-TELIN, Ghent University-IMEC, Sint-Pietersnieuwstraat 41, Ghent, 9000, East Flanders, Belgium.
Current research in food science
|May 23, 2024
概括
可重复使用的餐具是可持续性的关键,但安全检查具有挑战性. 本研究引入了一种使用数据增强和知识转移的自动化系统,以有效检测食品容器上的缺陷和污染物,确保消费者安全.
科学领域:
- 食品安全 食品安全
- 环境可持续性 环境可持续性
- 计算机视觉 计算机视觉 计算机视觉
背景情况:
- 食品服务行业寻求可持续的做法,可重复使用的食品器皿的采用越来越多.
- 手动检查可重复使用的食品用品是否有缺陷和污染物是劳动密集型的,容易出现错误.
- 自动检测对于可重复使用的餐具系统的安全性,可扩展性和成本效益至关重要.
研究的目的:
- 开发一种用于检测可重复使用食品容器上的缺陷和污染物的自动化方法.
- 提高可重复使用的食品器皿系统的安全性和效率.
- 为了快速部署具有有限数据的检测系统.
主要方法:
- 使用数据增强策略.
- 从各种食品容器样本中应用知识转移.
- 训练网络以识别正常模式并检测指示缺陷或污染物的偏差.
主要成果:
- 该方法有效地检测到食品容器上的污染和裂.
- 该系统可以迅速部署,即使采集的样本数量有限.
- 该方法利用一些清洁样本的图像来教导网络正常模式.
结论:
- 自动检测系统对于确保可重复使用食品器械系统的消费者安全至关重要.
- 拟议的方法为缺陷和污染物检测提供了可扩展和成本效益的解决方案.
- 这项研究有助于通过技术推动食品服务行业的可持续实践.
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