Swine grunt analysis through intensity and frequency isolation with thermography using Adafruit AMG8833 IR thermal camera breakout for swine stress detection and reduction

Leonardo Valiente Jr.; Ramon Garcia; Justin Llyod Catapang; Emmanuelle Allyanna Manalili; Abegail Salapantan

doi:10.1117/12.2540959

31 July 2019 Swine grunt analysis through intensity and frequency isolation with thermography using Adafruit AMG8833 IR thermal camera breakout for swine stress detection and reduction

Leonardo Valiente Jr., Ramon Garcia, Justin Llyod Catapang, Emmanuelle Allyanna Manalili, Abegail Salapantan

Author Affiliations +

Proceedings Volume 11198, Fourth International Workshop on Pattern Recognition; 111980K (2019) https://doi.org/10.1117/12.2540959
Event: Fourth International Workshop on Pattern Recognition, 2019, Nanjing, China

Abstract

This paper proposed an automated system that captures an infrared image using Adafruit AMG8833 IR Thermal Camera and record audio via an omnidirectional microphone connected to a sound card and process the data to determine if the swine had experience thermal stress. Temperature together with the frequency and noise intensity of the swine were logged into the system for the data analysis. After the system detected that swine was under thermal stress, the misting and ventilation is activated that reduce the amount of heat the swine had experienced. Two test was conducted for comparison. A controlled setup with the misting and ventilating and an uncontrolled with only the thermal camera and microphone. The data gathered proves that maintaining the pig's temperature at normal levels through the help of an automated sprinkling and ventilating device results to better growth performance.

Citation Download Citation

Leonardo Valiente Jr., Ramon Garcia, Justin Llyod Catapang, Emmanuelle Allyanna Manalili, and Abegail Salapantan "Swine grunt analysis through intensity and frequency isolation with thermography using Adafruit AMG8833 IR thermal camera breakout for swine stress detection and reduction", Proc. SPIE 11198, Fourth International Workshop on Pattern Recognition, 111980K (31 July 2019); https://doi.org/10.1117/12.2540959

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