Intflow (CEO Jeon Kwang-myeong), a livestock healthcare solution specialist, announced on the 18th that it had registered a patent for a technology that analyzes livestock feeding behavior using artificial intelligence (AI) technology.
The technology that the corporate registered a patent this time is ‘image-based livestock feeding behavior evaluation device and method’. It’s a technology that analyzes video data taken by CCTV installed in livestock sheds with AI.
The technology trains an AI model with data that labels the livestock’s behavioral status. The aim is to discover and predict the condition of the livestock group by recording the activity and feeding frequency of livestock.
The technology principle is to trace the movement status of every livestock by accumulating and storing the coordinates of the middle of the detected livestock object, and to read the presence or absence of abnormalities. It measures the variety of times livestock enter and leave the feed (feeding) area of the barn to create feeding status information for the livestock individual.
Jeon Kwang-myung, CEO of Intflow, said, “Pigs have a fantastic sense of taste and might recognize whether or not the feed has deteriorated, and take specific actions similar to digging up or not eating the problematic feed.” You possibly can check the quantity, and together with feed efficiency, it helps pigs grow quickly by stopping deterioration in palatability attributable to feed deterioration and diarrhea.”
Intflow expected that this patent registration would give momentum to the expansion of the livestock AI market in Korea.
The corporate also registered a patent for ‘image-based livestock growth trend monitoring device and method’ for recording the collective growth cycle of livestock in February.
Reporter Hojeong Na hojeong9983@aitimes.com
