Camera2Video. A low-cost food authentication system using smartphone videos

Hui Wang; Weiran Song; Nanfeng Jiang; Jordan Vincent; Zhiyuan Song; Xizhao Wang

doi:10.1145/3365245.3365260

Camera2Video. A low-cost food authentication system using smartphone videos

Hui Wang, Weiran Song, Nanfeng Jiang, Jordan Vincent, Zhiyuan Song, Xizhao Wang

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Citations (Scopus)

Abstract

This paper presents a low-cost sensor system for food authentication based on computer vision and pattern recognition. The sensor system uses a smartphone to record a video of a sample under gradient coloured illumination and transforms the video into data vector for analysis. The sensor system is evaluated on the tasks of detecting olive oil adulteration and milk fat content, achieving 100% test accuracies. Since the sensor system is built in a smartphone without any additional hardware, it has the potential to serve as a simple and effective solution for food authentication.

Original language	English
Title of host publication	SSIP 2019 - 2019 2nd International Conference on Sensors, Signal and Image Processing: proceedings
Publisher	Association for Computing Machinery
Pages	49-52
Number of pages	4
ISBN (Electronic)	9781450372435
DOIs	https://doi.org/10.1145/3365245.3365260
Publication status	Published - 08 Oct 2019
Externally published	Yes
Event	2nd International Conference on Sensors, Signal and Image Processing, SSIP 2019 - Prague, Czech Republic Duration: 08 Oct 2019 → 10 Oct 2019

Publication series

Name	ACM International Conference Proceeding Series

Conference

Conference	2nd International Conference on Sensors, Signal and Image Processing, SSIP 2019
Country/Territory	Czech Republic
City	Prague
Period	08/10/2019 → 10/10/2019

Bibliographical note

Publisher Copyright:
© 2019 Association for Computing Machinery.

Keywords

Classification
Computer vision
Food authentication
Smartphone
Video

ASJC Scopus subject areas

Software
Human-Computer Interaction
Computer Vision and Pattern Recognition
Computer Networks and Communications

Access to Document

10.1145/3365245.3365260Licence: Unspecified

Cite this

Wang, H., Song, W., Jiang, N., Vincent, J., Song, Z., & Wang, X. (2019). Camera2Video. A low-cost food authentication system using smartphone videos. In SSIP 2019 - 2019 2nd International Conference on Sensors, Signal and Image Processing: proceedings (pp. 49-52). (ACM International Conference Proceeding Series). Association for Computing Machinery. https://doi.org/10.1145/3365245.3365260

@inproceedings{ed3b8c923b7544b28400343b276ed2d0,

title = "Camera2Video. A low-cost food authentication system using smartphone videos",

abstract = "This paper presents a low-cost sensor system for food authentication based on computer vision and pattern recognition. The sensor system uses a smartphone to record a video of a sample under gradient coloured illumination and transforms the video into data vector for analysis. The sensor system is evaluated on the tasks of detecting olive oil adulteration and milk fat content, achieving 100% test accuracies. Since the sensor system is built in a smartphone without any additional hardware, it has the potential to serve as a simple and effective solution for food authentication.",

keywords = "Classification, Computer vision, Food authentication, Smartphone, Video",

author = "Hui Wang and Weiran Song and Nanfeng Jiang and Jordan Vincent and Zhiyuan Song and Xizhao Wang",

note = "Publisher Copyright: {\textcopyright} 2019 Association for Computing Machinery.; 2nd International Conference on Sensors, Signal and Image Processing, SSIP 2019 ; Conference date: 08-10-2019 Through 10-10-2019",

year = "2019",

month = oct,

day = "8",

doi = "10.1145/3365245.3365260",

language = "English",

series = "ACM International Conference Proceeding Series",

publisher = "Association for Computing Machinery",

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booktitle = "SSIP 2019 - 2019 2nd International Conference on Sensors, Signal and Image Processing: proceedings",

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}

Wang, H, Song, W, Jiang, N, Vincent, J, Song, Z & Wang, X 2019, Camera2Video. A low-cost food authentication system using smartphone videos. in SSIP 2019 - 2019 2nd International Conference on Sensors, Signal and Image Processing: proceedings. ACM International Conference Proceeding Series, Association for Computing Machinery, pp. 49-52, 2nd International Conference on Sensors, Signal and Image Processing, SSIP 2019, Prague, Czech Republic, 08/10/2019. https://doi.org/10.1145/3365245.3365260

Camera2Video. A low-cost food authentication system using smartphone videos. / Wang, Hui; Song, Weiran; Jiang, Nanfeng et al.
SSIP 2019 - 2019 2nd International Conference on Sensors, Signal and Image Processing: proceedings. Association for Computing Machinery, 2019. p. 49-52 (ACM International Conference Proceeding Series).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AU - Wang, Hui

AU - Song, Weiran

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AU - Vincent, Jordan

AU - Song, Zhiyuan

AU - Wang, Xizhao

PY - 2019/10/8

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AB - This paper presents a low-cost sensor system for food authentication based on computer vision and pattern recognition. The sensor system uses a smartphone to record a video of a sample under gradient coloured illumination and transforms the video into data vector for analysis. The sensor system is evaluated on the tasks of detecting olive oil adulteration and milk fat content, achieving 100% test accuracies. Since the sensor system is built in a smartphone without any additional hardware, it has the potential to serve as a simple and effective solution for food authentication.

KW - Classification

KW - Computer vision

KW - Food authentication

KW - Smartphone

KW - Video

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DO - 10.1145/3365245.3365260

M3 - Conference contribution

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BT - SSIP 2019 - 2019 2nd International Conference on Sensors, Signal and Image Processing: proceedings

PB - Association for Computing Machinery

T2 - 2nd International Conference on Sensors, Signal and Image Processing, SSIP 2019

Y2 - 8 October 2019 through 10 October 2019

ER -

Camera2Video. A low-cost food authentication system using smartphone videos

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

Fingerprint

Cite this