A group of scientists has proposed to use the artificial intelligence (AI) To decipher the emotions of animals by analyzing their faces, a work that covers from the improvement of their day to day to the optimization of productive efficiency.
Human beings are not good reading emotions and feelings in animals’ faces, although they also experience pain, stress or joy, to name a few. For a part of scientists, AI is the tool that could help to understand them better.
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IntelliPig It is one of the projects that use this advanced technology, where appropriate, to guarantee the well -being of pigs on farms through the constant and individual monitoring of these animals.
It is a three -year project, which began in September 2023, and that hopes to develop a visual intelligence -based system with which it seeks to collect the data of physical and emotional well -being of pigs that subsequently combine with others Parameters such as food, hydration and medical history.
“When using latest generation automatic learning techniques, this system would offer the ability of continuous learning about individuals and, consequently, would allow the early detection of health and well -being alterations, personalized intervention thresholds and custom treatment approaches ”, It is collected in the research text, published on the Scotland’s Rural College website.
The purpose of this project is to better optimize the efficiency of livestock production. Others, on the other hand, seek to read the emotions on the faces of the animals to improve their lives, precisely what the project that collides the computer science Anna Zamansky in the Haifa University (Israel).
Zamansky’s team is training AI systems to detect pain in animals, with sheep as a case study, which have already shown to offer better results than human perception, as they assure in the study published in January in Nature.
In the same line is the Dutch project Treat which has developed a mobile application with which you can measure the pain of horse and donkeys. It uses a pain scale, but also the recognition of facial expressions, to determine the need to call a veterinarian.