Pet health monitoring and analysis

Abstract

A scalable pet ecosystem includes modules that are activated by an activity collar of a pet. The modules collect data, such as feeding, resting, and other biological functions. The data may be uploaded to a central server for reporting to an owner's computing device. An app on the computing device may be used to link multiple pets via the activity collars to multiple modules. Modules of the system may include a feeding bowl, a pet bed, an activity collar, and a litter box, and a water dish. A pet recognition device on the activity collar may identify a pet within the system. A profile may logically link the pet recognition device to one or more of the system modules. Collected data may be stored in a repository that is accessible to owners, veterinarians, and marketers via a phone app or server connection. The data may be analyzed to identify trends, to provide marketing and industry data, and to provide advice to owners.

Dependencies are inferred from the claim text.