Does each cat need to wear a collar or tag for the feeder to identify them?

No. The system uses camera-based facial recognition trained on photos you provide during setup. Once trained, it distinguishes between cats visually each time they approach the bowl.

Can I see how much each individual cat ate over the past week?

Yes. The app logs consumption by pet and by meal, and you can filter intake history by individual animal, by date range, or by total volume to track trends over days or weeks.

Will this work if I have both cats and a dog?

The Granary 2 series is designed specifically for cats. The recognition system is trained for feline facial features and may not reliably identify or track other species.

How accurate is the portion measurement?

The built-in scale measures food weight to the gram, recording how much each pet actually consumed rather than just how much was dispensed into the bowl.

What happens if two cats eat from the bowl at the same time?

The camera monitors activity at the bowl and the scale tracks total weight change. If multiple pets approach simultaneously, the system may log the session differently than it would for a single eater; check the app feed to confirm individual attribution.

Granary 2 Series Exclusive

The 3-second version

Weighs food to the gram and logs how much each individual pet consumed
Camera identifies up to ten cats by face without collars or wearables
Tracks intake history over time through the companion app
Setup requires training photos of each cat
Designed for cats, not dogs or other animals
Relies on app connectivity for intake history

Why it's on GiftsFeed

Automatic feeder that weighs portions and logs which cat ate what

Standard automatic feeders solve the when but ignore the who and the how much—fine if you have one healthy cat, inadequate if you're managing weight, medication, or multiple pets with different needs. This feeder runs recognition and weighing simultaneously, so every meal becomes a data point you can filter by animal, compare across weeks, or share with a vet when appetite changes. That combination of measurement and identification is what turns scheduled dispensing into actual intake monitoring.

Good gift when

Multi-cat households where individual diet tracking matters
Owners managing medical conditions that require portion control
People monitoring senior pets for early signs of appetite change
Anyone who needs to know actual consumption instead of just what was served

Skip it if Requires photographing each pet during setup and works with cats; the system is not designed for dogs or other species

Specs

Maximum pets tracked: 10
Measurement precision: Gram-level
Identification method: HD camera with AI recognition, no collar required
Available styles: Granary 2, Granary 2 Vision, Granary 2 Vision Duo, Granary 2 X
Available color: White

If you're giving it

No sizing to guess

Recipient will need to photograph each cat during app setup to enable recognition.

The details

Most automatic feeders dispense food on schedule but tell you nothing about who actually ate it or how much went down. This one combines a built-in scale, an HD camera, and recognition software that learns individual faces to log consumption by pet, meal by meal.

The feeder uses artificial intelligence to distinguish between up to ten cats, identifying each visitor to the bowl without requiring collars, chips, or tags. As each animal eats, the scale measures consumption in grams and the camera records the session. You review intake history through the companion app, filtered by pet, by time, or by total volume over days or weeks.

Gram-level measurement means you see exactly how much each cat consumed, not just how much was dispensed. That distinction matters when one pet is on a restricted diet, when another needs encouragement to eat, or when a sudden change in appetite signals illness before other symptoms appear. The camera feed provides visual confirmation alongside the weight data, so you know whether food disappeared because it was eaten or because it was scattered.

The system supports custom feeding schedules and portion sizes for each recognized pet, adapting delivery to individual needs within a multi-cat household. Setup involves photographing each animal to train the recognition model; from that point forward the feeder distinguishes them automatically each time they approach.

PETLIBRO

Granary 2 Series Exclusive

Camera-based recognition tracks intake for up to ten pets without collars or wearables

$129.99at petlibro.com

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The 3-second version

Weighs food to the gram and logs how much each individual pet consumed
Camera identifies up to ten cats by face without collars or wearables
Tracks intake history over time through the companion app
Setup requires training photos of each cat
Designed for cats, not dogs or other animals
Relies on app connectivity for intake history

Cheaper alternatives

Exclusive Trial: Licksters Starter Kit$6.25–$7.50

Questions

Does each cat need to wear a collar or tag for the feeder to identify them?: No. The system uses camera-based facial recognition trained on photos you provide during setup. Once trained, it distinguishes between cats visually each time they approach the bowl.
Can I see how much each individual cat ate over the past week?: Yes. The app logs consumption by pet and by meal, and you can filter intake history by individual animal, by date range, or by total volume to track trends over days or weeks.
Will this work if I have both cats and a dog?: The Granary 2 series is designed specifically for cats. The recognition system is trained for feline facial features and may not reliably identify or track other species.
How accurate is the portion measurement?: The built-in scale measures food weight to the gram, recording how much each pet actually consumed rather than just how much was dispensed into the bowl.
What happens if two cats eat from the bowl at the same time?: The camera monitors activity at the bowl and the scale tracks total weight change. If multiple pets approach simultaneously, the system may log the session differently than it would for a single eater; check the app feed to confirm individual attribution.