Development of a Multimodal AI System for Analyzing Canine Behavior and Emotions Using Smart Collar Data and Video Data

This project aims to help humans better understand their dogs by using artificial intelligence. Over four months, interns will develop AI models that can recognize dog behaviors—such as sitting, lying down, or showing signs of pain—by analyzing video, sound, and movement data collected from cameras or wearable devices. The research also includes developing tools to understand how people talk to their dogs, including commands and emotional tone.

By combining these technologies, the project will support the creation of a smart dog collar that can detect behaviors, alert owners to potential emergencies, and promote better care. The partner organization, BeroAI, will use the results to build next-generation pet technology that strengthens the bond between pets and their owners while improving animal health and well-being.

Faculty Supervisor:

Xue (Steve) Liu

Student:

Partner:

Bero AI R&D Inc.

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

McGill University

Program: