Researchers are now reportedly trying artificial intelligence (AI) to decipher the facial expressions of animals to understand their emotions. According to the report, several research groups now use AI models with computer vision to analyze signs of emotions and distress and distress in farm animals. This is one of the niche use cases of the technology, but provides enough high-quality data that large language models can find out in real time whether animals need help.
Researchers use AI to decipher animal emotions
According to a report by Science.org, some research teams are investigating whether AI can be reliably used to monitor the well-being of farm animals. One such example is the Intellipig system, developed by researchers at the University of Bristol (UWE) and Scottish Rural College (SRUC) in western England. The project is detailed on the web page of the university website and is currently in the beta testing stage.
The researchers have now implemented the Intellipig system on the farm and are using AI to monitor hundreds of pigs. The report claims that each pig takes a photo before giving the food, and based on AI-based identification, each pig gets a specific food.
In addition, AI has conducted separate inferences to analyze facial data and learn about signs of pain or distress. If there is AI, it reminds farmers that they can observe carefully and determine if the situation requires intervention. Notably, the researchers also claimed that the system could eventually analyze the emotions of these animals as well.
It is worth noting that health problems in animals in facial expressions and other behavioral patterns are not a new science. Many literature exists here, and humans who have accepted the subject have been using knowledge to understand when animals may be sick or emotionally bad.
However, according to the report, relying on people is not a sustainable approach, as they take an average of 100 seconds to identify various facial muscles. On the other hand, AI can perform the same operations on a large scale in real time. Researchers do not intend to establish an autonomous system through person-in-charge AI, because the technology is currently in its new stage.
