Res. Agr. Eng., 2025, 71(2):105-112 | DOI: 10.17221/35/2025-RAE

Camera systems and their user recognition reliability when entering an agri-food complexOriginal Paper

Jaroslav Mrázek ORCID...1, Jakub Vošáhlík2, Eva Olmrová ORCID...1, Martin Pexa ORCID...1, Zdeněk Aleš ORCID...1, Jakub Čedík ORCID...1
1 Department for Quality and Dependability of Machines, Faculty of Engineering, Czech University of Life Sciences Prague, Prague, Czech Republic
2 Department of Technological Equipment of Constructions, Faculty of Engineering,Czech University of Life Sciences Prague, Prague, Czech Republic

This study evaluates the efficiency of various facial recognition camera systems used to control access in agri-food production environments, focusing on their ability to identify individuals based on biometric facial traits. It is also important to prevent the movement of unwanted persons into the production premises in the agri-food complex. The main goal was to assess how these factors influence the recognition performance and to determine the most reliable system for preventing unauthorised entry. The results show notable performance disparities between the devices tested. It can be concluded in this research that there are statistically significant differences between the maternal, professional and semi-professional systems. The device that is most suited is the HIKVISION iDS-2CD8426G0/F-I, achieving the best average performance score. This is based on usual recognition times. These tests indicate that the HIKVISION DS-2DE7232IW-AE(S5), which obtained an average rating of 2.216789, is the second-best acceptable device. With a score of 2.842113, HIKVISION DS-2CD2H45FWD-IZS (2.8–12 mm) (B) received, without a doubt, the lowest ranking. Given the outcomes, systems with superior recognition capabilities like the iDS-2CD8426G0/F-I are best to use for critical access control applications and to also minimise the use of facial coverings in sensitive areas to ensure reliable identification and higher levels of security of agri-food complexes.

Keywords: security; agricultural buildings; ergonomics; facial recognition; face detection

Received: March 27, 2025; Accepted: May 5, 2025; Prepublished online: June 6, 2025; Published: June 18, 2025  Show citation

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Mrázek J, Vošáhlík J, Olmrová E, Pexa M, Aleš Z, Čedík J. Camera systems and their user recognition reliability when entering an agri-food complex. Res. Agr. Eng. 2025;71(2):105-112. doi: 10.17221/35/2025-RAE.
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