Autonomous monitoring of finishing pigs using side-view cameras and deep learning

Mathias S. Lynge; Kasper Shøn Henriksen; Thomas B. Moeslund

doi:10.1117/12.2623618

4 March 2022 Autonomous monitoring of finishing pigs using side-view cameras and deep learning

Mathias S. Lynge, Kasper Shøn Henriksen, Thomas B. Moeslund

Proceedings Volume 12084, Fourteenth International Conference on Machine Vision (ICMV 2021); 120841D (2022) https://doi.org/10.1117/12.2623618
Event: Fourteenth International Conference on Machine Vision (ICMV 2021), 2021, Rome, Italy

Abstract

Monitoring of pigs is currently done by humans observing pig pens to acquire information such as behaviour to back certain actions such as regulation of temperature. These actions can have vital outcomes, as taking the wrong action or not taking an action, can result in fatalities. A vision-based system to automatically monitor pigs, therefore, has the potential of improving the welfare of pigs and enhancing the pig industry. This work investigates such a system and demonstrates several modules that can be utilized to obtain behavioural information and how such information can be interpreted. Moreover, the utilized system modules and side-view data will be evaluated. The code is public and available at: https://github.com/KHML-master/apimos.

Citation Download Citation

Mathias S. Lynge, Kasper Shøn Henriksen, and Thomas B. Moeslund "Autonomous monitoring of finishing pigs using side-view cameras and deep learning", Proc. SPIE 12084, Fourteenth International Conference on Machine Vision (ICMV 2021), 120841D (4 March 2022); https://doi.org/10.1117/12.2623618

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