Web-based colorimetric sensing for food quality monitoring

Jer Hayes*, Alexis Pacquit, Karl Crowley, Kim Lau, Dermot Diamond

*Corresponding author for this work

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

4 Citations (Scopus)


The work presented in this paper outlines a novel technique for remote food quality control over the internet by using web based image processing. The colour change of a colorimetric sensor was captured with a wireless camera and the data was transmitted to a PC, which uploaded the information to the web. A software system for colour analysis was developed to process the data locally. Quantitative colour information which reflects the quality of the food product can be deduced remotely using this technique. This novel technique was applied to the monitoring of fish spoilage in packaged fish. The on-package sensors detected the release of spoilage products, typically the amines, from the fish and gave a visible colour change which was captured by the wireless camera. The colour information obtained through the web, when processed remotely using the in-house developed software, accurately reflected the state of the product. This technology reduces the labour requirements in food quality monitoring and can be applied to all colorimetric sensors.

Original languageEnglish
Title of host publication2006 5th IEEE Conference on Sensors
Number of pages4
Publication statusPublished - 2006
Externally publishedYes
Event2006 5th IEEE Conference on Sensors - Daegu, Korea, Republic of
Duration: 22 Oct 200625 Oct 2006

Publication series

NameProceedings of IEEE Sensors


Conference2006 5th IEEE Conference on Sensors
Country/TerritoryKorea, Republic of

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