Google’s new Pet Memory feature for Gemini for Home failed to identify my cats correctly during testing. The system struggled to distinguish between two felines with similar appearances, often mislabelling one animal as the other. Despite months of training the model with hundreds of images, the recognition remained inconsistent and prone to error. This lack of precision means the smart home cannot reliably adapt settings based on which specific pet is present in the room.
The technology highlights a significant gap between marketing promises and practical application for pet owners relying on automation. Without accurate identification, the system cannot truly personalise the environment or provide useful insights into individual animal behaviour. Users seeking a seamless integration of pet care into their daily routine may find the current implementation insufficient for their needs.
* Training required hundreds of photos to achieve basic recognition
* Misidentification occurred frequently between similar-looking cats
* Smart home adaptations failed due to incorrect pet labels
