AI-Enhanced Speckle Pattern Imaging for Assessing Milk Authenticity

• Abstract:

  Milk is daily consumed worldwide by billions of people and it is also one of the foods most commonly subject to adulteration and counterfeiting. This paper presents a novel low-cost approach to assess milk authenticity by combining speckle pattern imaging and artificial intelligence. From the collected images, 11 statistical parameters were extracted and used to train and test a machine learning model, with the aim of distinguishing whole cow milk and 8 adulterated samples. The performances achieved by the AI-enhanced speckle pattern imaging approach (accuracy of 80%) represent a promising starting point for the development of this label-free, low-cost, easy-to-use technique to support efforts in fighting food fraud.
• Download:

  IMEKO-TC2-2025-015.pdf
• DOI:

  tc2-2025.015

Event details:

• IMEKO TC:

  TC2
• Event name:

  IMEKO TC2 PhotoMet 2025
• Title:

  2025 IMEKO TC2 International Symposium on Modern Photonic Metrology

  PhotoMet 2025 - Shaping the Future of Photonic Metrology

• Place:

  Modena, ITALY
• Time:

  1 September 2025 - 3 September 2025