The application discloses a lion-headed
goose monitoring method, device and equipment and a storage medium, wherein multi-dimensional data of a breeding farm, including pictures, videos, sounds, body temperatures and the like of lion-headed geese, are acquired, the multi-dimensional data are preprocessed, and then are sent into a target detection model, a tracking
algorithm and an
abnormality judgment logic for calculation, lion-headed geese with a
high probability of
disease or abnormal lion-headed geese are detected, and then the above early warning data and information are pushed to users in time through a
client, so that accurate identification of individual lion-headed geese in a large number of scenes is realized, and identification based on multi-dimensional factors of monitoring videos is realized, automatic monitoring and identification are realized, and the situation that a large-scale
disease infection is caused due to the fact that an
abnormality cannot be found in time in a lion-headed
goose flock is avoided.