Tably App Uses Feline Biometrics to Assess Cats’ Moods

According to a recent report from Tech Times, a new app that is currently in its beta release stage aims to use artificial intelligence and facial recognition biometrics to let cat owners know if their pet is happy and healthy.

The Tably app, which is made by Calgary-based Sylvester.ai, uses a combination of AI-driven remote patient monitoring and facial recognition technology to measure and monitor a number of visual physical cues found in felines and referred to by the company as the ‘Feline Grimace Scale’ (FGS).

According to Reuters, the FGS is based on five different facial cues including ear position, muzzle tension, whisker position, orbital tightening, and head position, and according to Sylverster.ai, it can be a useful collection of metrics to help owners detect any potential feline health issues before they become a major problem.

Impressive though the feline-focused biometric technology may be, there are early signs that it may have some difficulty registering the facial cues of black cats – an odd, though far less pernicious, echo of the kind of racial bias that has been found in human-focused facial recognition systems.

The application of facial recognition and other biometric technologies for pet-related solutions isn’t a new one, with some solutions dating as far back as 2015.

More recently, Onfido announced a partnership with DeineTierwelt — the largest pet-exchange platform in German-speaking countries — that will see digital onboarding tech used to help curb the illegal exchange of puppies in those regions.

As noted, the Tably app is currently in beta, though it is available for download in the App Store for iPhones, and can be downloaded directly from Sylvester.ai’s website for Android users.

Source: Tech Times

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August 2, 2021 — by Tony Bitzionis

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