Department of Grain and Industrial Plant Processing, Szent István University, Budapest, Hungary.
Department of Food Science, University of Campinas (UNICAMP), Campinas, São Paulo, Brazil.
Crit Rev Food Sci Nutr. 2022;62(13):3631-3643. doi: 10.1080/10408398.2020.1867820. Epub 2020 Dec 30.
The cell phone has been merely used for image acquisition and transmission in the last decades. Owing to the recent technological progress, its new generation, i.e., the smartphone, draws remarkable attention to food quality assessment with versatile applications. Smartphones possess high-resolution cameras, enabling them to be used instead of digital cameras in the computer vision system. Furthermore, their programmability and portability have recently encouraged researchers to introduce smartphone-based image processing in food analytical studies. This promising approach has advantages such as high sensing capability, being user friendly, and cost-effective over the conventional method, and therefore might be considered an emerging nondestructive technique for quality control purposes. However, there is a great effort to tackle implementation, calibration, as well as industrialization issues. In this context, this review aims to highlight the most recent studies of smartphone-based imaging systems in various food systems such as dairy, meat, fruit, and vegetables. Besides, the existing challenges and future trends for applying smartphones in food quality control are discussed. Although moving the computer vision systems toward a portable tool like a smartphone improves its versatility, more research works are needed to resolve its set-up weakness and limitations.
在过去的几十年中，手机仅用于图像采集和传输。由于最近的技术进步，其新一代智能手机因其在食品质量评估中的多种应用而引起了人们的极大关注。智能手机配备高分辨率摄像头，使其能够在计算机视觉系统中替代数码相机。此外，其可编程性和便携性最近促使研究人员在食品分析研究中引入基于智能手机的图像处理。这种很有前景的方法具有高传感能力、用户友好和比传统方法更具成本效益等优点，因此可以被认为是一种新兴的无损技术，适用于质量控制目的。但是，在实施、校准以及工业化方面仍存在很大的困难。在此背景下，本文旨在重点介绍基于智能手机的成像系统在乳制品、肉类、水果和蔬菜等各种食品系统中的最新研究。此外，还讨论了在食品质量控制中应用智能手机所面临的现有挑战和未来趋势。尽管将计算机视觉系统朝着智能手机等便携式工具发展提高了其多功能性，但仍需要更多的研究工作来解决其设置弱点和局限性。
