Technological innovation is increasingly transforming various industrial sectors, offering new opportunities to improve process efficiency, automate operations, and support data-driven decision-making. It is in this context that IRS is launching PigSense, a project dedicated to developing an intelligent platform for monitoring stress and the health of pigs through the analysis of multimodal signals.
The project, whose full title is “PigSense: An Intelligent Platform for Monitoring Stress and Health in Pigs Using Multimodal Signals—Audio, Visual, Environmental, and Behavioral,” was launched with the goal of identifying the technological strategies needed to develop an intelligent, digitized system for the automated monitoring and management of stress and health in pig farms.
One of PigSense’s distinctive features is its multimodal approach to data collection and analysis. The system will take into account various types of signals, including audio, visual, environmental, and behavioral signals. The integration of these different sources of information is key to building a more comprehensive picture of the animals’ condition and supporting an increasingly automated monitoring system.
The project is based on the use of state-of-the-art Artificial Intelligence (AI) algorithms, leveraging their potential for data management and processing. The goal is to develop a system capable of acquiring, evaluating, and storing the collected information, while also incorporating “autonomous learning” capabilities based on the data.
This approach aims to harness the potential of AI not only as an analytical tool, but as a component of a broader technological system designed to progressively increase the level of automation in operations. The availability of data from various sources and its processing using advanced algorithms can, in fact, contribute to the creation of a digital environment in which information is collected and analyzed in a structured manner.
The PigSense project is therefore part of an effort to apply technological innovation to the swine farming sector, with the goal of identifying solutions that improve the monitoring of stress and the health status of the animals. The combined use of audio, visual, environmental, and behavioral data serves as the starting point for exploring new methods of automated management and for enhancing the observation and analysis capabilities of systems designed for pig farms.
The approach proposed by IRS aims to integrate digitization, artificial intelligence, and automation through a platform designed to leverage the data collected in the field. The analysis of this information will help define technological strategies geared toward more advanced management of monitoring processes.
In this sense, PigSensor is a project that focuses on the evolution of intelligent systems and their potential applications in the livestock sector. The goal is not merely to collect a greater amount of information, but to develop strategies for transforming data from various sources into a resource that can be used for automated management.
The project has eligible expenses of 216,868.00 euros and a grant of 80,579.40 euros, 40% of which comes from the EU.
With PigSense, IRS is therefore launching a research and innovation initiative focused on the integration of digital technologies and artificial intelligence. Through the multimodal analysis of audio, visual, environmental, and behavioral signals, the project aims to identify the most suitable technological strategies for developing an intelligent platform to monitor stress and the health of pigs.
This initiative underscores the growing importance of technological innovation in the development of increasingly digitized and automated monitoring systems, laying the groundwork for new applications of AI in livestock management.
