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Playbook
PETLIBRO: identify each cat’s eating patterns
PETLIBRO creators raise the multi-cat feeding uncertainty, explain individual recognition, and describe how accumulated records could reveal eating patterns.
Who runs it Third-party pet-product reviewers and educators on YouTube.
11.7Kviews tracked · 3 posts3creators ran it9Kbest post
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The script109 lines · 8:17 · @monsieurtn for PETLIBRO
- 0:00Every couple of months, I sometimes have to leave my forecast alone for a night or two
- 0:08for work or just getting out of the apartment.
- 0:12And the thing I worry about isn't food or water because automatic feeders solve that
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These moves recur across the cited posts. Wording and execution vary; this is not one combined video timeline.
- Raise uncertainty about which cat ate
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I liked camera feeders in the first place because I can actually check who ate, not just that the food was gone.
Open the source post →Because when you have multiple cats, let's be honest, it's hard to know. You assume everyone's eating their food and getting enough food, but how do you actually know?
Open the source post →If you're a cat parent with multiple cats and you free feed them since your cats eat at different times, it would be hard to keep track of which cat was actually eating.
Open the source post → - Explain how the feeder attributes eating events to individual cats
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Each bowl also has a built in weight sensor, and that's how the system tracks how much each cat is eating. Then it combines weight data with the cat recognition to track how much food that specific cat consumed.
Open the source post →The feeder uses AI recognition to identify cats by their body profile, and automatically tracks who is eating.
Open the source post →This newly launched feeder uses a built-in camera to recognize each cat individually, so the feeder is able to track who ate when they ate, how much they ate, and it's all logged in the app.
Open the source post → - Describe the feeding patterns that accumulated records can reveal
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