Authors
Joint Research Centre, European Commission, Di Marcantonio, Federica, Nedelcu, Bogdan Radu, Padiu, Bogdan, Rebedea, Traian, Barreiro-Hurle, Jesus, Ciaian, Pavel
- Catalogue number
- KJ-NA-31-855-EN-N
- Citation
- European Commission, Joint Research Centre, Di Marcantonio, F., Nedelcu, B., Padiu, B. et al., Food-checker â A mobile-based crowdsourcing application for âdual qualityâ of food , Publications Office of the European Union, 2024, https://data.europa.eu/doi/10.2760/242232
- DOI
- https://data.europa.eu/doi/10.2760/242232
- ISBN
- 978-92-68-12870-1
- ISSN
- 1831-9424
- Pages
- 88
- Published in
- Belgium
- Themes
- Information technology and telecommunications , Food technology and food safety
Table of Contents
- Abstract 5
- Executive summary 7
- 1. Introduction 15
- 2. Methodology 17
- 2.1. Artificial intelligence for image (front-of-pack design and label) recognition 17
- 2.1.1. Image classification 18
- 2.1.2. Instance segmentation 20
- 2.2. Product composition data extraction, translation and comparison 23
- 2.2.1. Instantaneous text translation 23
- 2.2.2. Information extraction process 23
- 2.2.3. Matching and comparison process 28
- 2.3. Mobile app interface and alert system 35
- 2.3.1. News 35
- 2.3.2. Proposals 36
- 2.3.3. Missions 37
- 2.3.4. Scan button and settings 37
- 2.3.5. Settings 37
- 2.3.6. Illustration of image-scanning steps 37
- 2.3.7. Information storing system 39
- 2.3.8. Results reporting 40
- 2.3.9. Alert system 41
- 2.3.10. Registration and data protection 45
- 2.4. Dedicated web page 45
- 2.5. Dissemination and awareness campaigns 47
- 2.5.1. Awareness and download campaign 49
- 2.6. Incentive mechanisms and rewards 54
- 2.6.1. Non-monetary extrinsic motivation: badges and points 56
- 2.6.2. Monetary incentives 58
- 3. Results 59
- 3.1. Performance of the artificial intelligence behind Food-Checker 59
- 3.1.1. Performance of artificial intelligence in object detection and image recognition 59
- 3.1.2. Performance of artificial intelligence in product composition comparison 62
- 3.2. Performance of the advertising campaigns and incentive mechanisms 63
- 3.3. Alert system 68
- 4. Operational costs of the Food-Checker app 71
- 5. Conclusions 73
- References 77
- Abbreviations 80
- List of boxes 81
- List of figures 82
- List of tables 83
- Annexes 84
- Annex 1. List of sampled products (number of samples) 84