TECHNIQUES FOR AUTOMATICALLY MONITORING ANIMAL BEHAVIORS AND GENERATING NOTIFICATIONS

Number: 20260283118
Published: 2026-09-24
Filed: 2025-03-19
Assignee: DISNEY ENTERPRISES, INC.
Inventors: CHEN; Ching-Chien, WANG; Isabelle Victoria, EATON; Jeremy
CPC: A01K29/005; G06V10/82; G06V40/10
Verdict: Set aside dropped in weekly review
In edition: 2026-W39
Source: Google Patents · FreePatentsOnline

The keeper's note

Abstract

A computer-implemented technique for monitoring animals includes processing at least one image using a trained machine learning model to determine at least one of one or more animals in the at least one image or one or more behaviors of animals in the at least one image, and transmitting a notification to at least one computing device based on the at least one of one or more animals or one or more behaviors of animals.

Background

BACKGROUND Technical Field

The present disclosure relates generally to computer science, computer vision, machine learning, artificial intelligence (AI), and, more specifically, to techniques for automatically monitoring animal behaviors and generating notifications. Description of the Related Art

Animal theme parks, sometimes referred to as zoological theme parks, have become popular around the world. Animal theme parks combine common theme park elements, such as amusement rides, with classic zoo elements, such as exotic animals that are confined within viewing enclosures. In many instances, amusement park elements and animal themes are directly combined, for example when live animals are featured or otherwise employed as part of a themed ride or attraction.

The animals in animal theme parks need to be monitored for various reasons, such as identifying aggressive behaviors between certain animals or removing one animal species that has intruded into an enclosure occupied by an incompatible species. One approach for monitoring animals, including the animals in animal theme parks, is through manual observation by caretakers of those animals.

One drawback of the above approach is that manual observation of animals is highly limited and error prone, oftentimes resulting in the failure to observe important or time-sensitive behaviors. For example, attractions featured around animals are typically set within environments or confined spaces that can be e

Claims

1. A computer-implemented method for monitoring animals, the method comprising: processing at least one image using a trained machine learning model to determine at least one of one or more animals in the at least one image or one or more behaviors of animals in the at least one image; and transmitting a notification to at least one computing device based on the at least one of one or more animals or one or more behaviors of animals. || 11. One or more non-transitory computer-readable media storing instructions that, when executed by at least one processor, cause the at least one processor to perform the steps of: processing at least one image using a trained machine learning model to determine at least one of one or more animals in the at least one image or one or more behaviors of animals in the at least one image; and transmitting a notification to at least one computing device based on the at least one of one or more animals or one or more behaviors of animals. || 20. A system, comprising: a memory storing instructions; and one or more processors, that when executing the instructions, are configured to perform the steps of: processing at least one image using a trained machine learning model to determine at least one of one or more animals in the at least one image or one or more behaviors of animals in the at least one image, and transmitting a notification to at least one computing device based on the at least one of one or more animals or one or more behaviors of animals.