March 7, 2025
Pet health issues often go unnoticed until they reach an advanced stage, making early detection crucial for effective intervention. Traditional monitoring methods rely on subjective owner observations, which can be inconsistent and delayed. There is a need for an automated, data-driven solution that provides objective and continuous tracking of a pet’s health indicators, such as food and water intake, along with physiological cues from facial imagery.
The project aims to develop a smart feeding station that integrates weight sensors and high-resolution cameras to monitor pet health. The system must accurately measure food and water consumption, capture clear facial images for health analysis, and transmit data seamlessly to a cloud platform for real-time insights. The design must balance technological sophistication with user-friendly aesthetics, ensuring unobtrusive and stress-free monitoring for pets while delivering timely alerts to pet owners.
AI-Tails focuses on the early detection and prevention of health issues in household pets. The current project involves building a feeding station equipped with weight sensors to track food and water intake, along with cameras capturing high-resolution images of the pet’s face. The goal is to create an elegant, minimalistic product with seamless cloud connectivity that warns pet owners about possible health risks in a timely manner.
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