Aiming at the problems of pet health,this paper proposes a pet health monitoring system based on the Internet of Things.The system uses pet behavior recognition,Machine Learning and Deep Learning algorithms and other technologies,and it can determine whether a pet is healthy or not through algorithms.The experiment results show that the system can accurately monitor the health status of pets,and its research results have certain significance and value for pet health management and medical care.In the future,the pet health monitoring system based on the Internet of Things is expected to become an important tool for pet health management,providing pet owners with a more comprehensive and scientific health management program.It is conducive to the timely detection and intervention of pet health problems,and it will have a positive impact on the improvement of pet health.
pet healthparameter extractionMachine LearningDeep Learning
国家科技期刊平台
NSTL
万方数据
