Discover the latest artificial intelligence and animal innovations that allow for reading pain and anxiety through facial recognition technology
Humans have long pondered a question: do animals have emotions that can be understood and empathized with? With the development of artificial intelligence technologies, scientists have begun investing in these tools to try to interpret and identify those emotions, especially in pets and farm animals. Strikingly, new research indicates that facial analysis software can be used to track signs of pain or emotional distress, paving the way for a qualitative shift in animal care and improving their conditions.
The “IntelliPig” project to assess pig health
One of the most prominent current experiments is being conducted by researchers at the University of the West of England in Bristol in cooperation with a rural college in Scotland, where they are working on a system called “IntelliPig.” This system scans pictures of pig faces and then analyzes them to detect any signs of pain, disease, or emotional distress. This technology allows farmers to receive an early warning if pigs are experiencing a health problem, contributing to early intervention and avoiding complications.
Facial recognition technology in dogs
On the other hand, a research team at the University of Haifa is working on a project based on facial recognition technology previously used to help people find their lost dogs. In the new phase of this project, researchers aim to identify facial signals associated with pain or discomfort in dogs. Interestingly, dog faces share about 38 percent of facial movements with humans, indicating similarities that could be useful in training computer models.
Self-learning of artificial intelligence
What distinguishes some of these studies is their reliance on artificial intelligence and animal techniques that learn on their own without the need for human explanation of every detail. In an experiment by a researcher at the University of São Paulo, photos of horses before and after surgical procedures, as well as after taking painkillers, were used. The computer system was found to have learned on its own to spot facial signs of pain with an accuracy rate of 88 percent. This development illustrates the potential to improve the accuracy of diagnosing animal pain and help reduce their suffering.
The role of human monitoring in analysis
Despite significant progress in machine learning algorithms, these models still require human supervision, especially in the early stages. Researchers closely monitor animals and record their reactions in various situations (such as illness, rest, or post-surgery). The computer system is then trained on this data to recognize specific patterns. However, once the model reaches a certain stage of maturity, it becomes capable of developing a deeper understanding of facial signals and body gestures without extensive human intervention.
Read also: How Robin Wieland resurrected his cat as an AI robot
Future benefits
If these research projects succeed in developing effective and reliable systems, we may witness a major shift in animal care, whether on large farms or even in homes caring for pets. Large farms could install cameras that analyze animal faces around the clock and alert veterinarians to any abnormal signs. As for household companion animals, specialized apps could become available to tell owners if their dog or cat is experiencing hidden pain.
The evolution of using artificial intelligence and animals in understanding emotions opens wide horizons for treating creatures that share this planet with greater humanity. Technologies that diagnose pain or psychological distress in animals could contribute to a breakthrough in the quality of veterinary care and improve the lives of farmers and pet owners. At the same time, this progress raises some ethical questions about the ability of algorithms to interpret complex emotions, but it is clear that the research trajectory is moving forward and promises interesting results.
