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    Tunisia Herald: Tunisia’s news, told with authority.Tunisia Herald: Tunisia’s news, told with authority.
    Home » Machine learning and computer vision to talk to dogs
    Technology

    Machine learning and computer vision to talk to dogs

    March 4, 2021
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    Companion announces $8M in seed funding to transform how to train, engage and communicate with dogs. The funding comes from leading institutional investors and VCs along with some of the largest pet companies and charities in the world. Participating investors include IA Ventures, Tuesday Capital, frog Design, Companion Fund, backed by Mars Petcare, Michelson Found Animals Foundation, Wheelhouse Partners, PETStock and Central Garden & Pet. The funding will be used to continue rolling out the device and coaching service to early adopters. You can sign up for early access here.

    Machine learning and computer vision to talk to dogs
    Companion makes it easier than ever for pet parents to engage and train their dog at home. The Companion device uses computer vision combined with machine learning to precisely detect and analyze dogs’ movements and behaviors. Using state-of-the-art positive reinforcement techniques, and its proprietary data and algorithms, the Companion rewards your dog for desired behaviors such as sit, down, stay and recall. Given Companion brings infinite patience and consistency to practicing positive behaviors, pet parents have the assurance that their dog will maintain these behaviors over time. Altogether, the dog’s experience with Companion refines trained behaviors into consistent and repeatable actions and serves as a powerful foundation for our integrated coaching service.

    By training basic obedience skills, Companion teaches independence and confidence and offers highly engaging activities for the dog. As pet parents return to work following COVID, they need proven solutions to engage their dog when they’re not at home and feel confident leaving their dogs. The technology has been privately offered in the SF Bay Area since 2018 and will begin shipping to select early adopters throughout 2021.

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