Petpuls Lab, a South Korean startup, has developed a smart dog collar which can tell you what your dog is feeling based on his bark. That’s right! Your dog can now talk to you, well sort of anyway. This is done with the aid of artificial intelligence.
Do you have a dog? Do you have friends or neighbors who have dogs? Any time that we come into contact with an animal, any animal, every one of us wishes that we could communicate with it. How wonderful it would be, we muse, if we could just ask it how its feeling or what it wants. What does its bark actually mean? Is it angry? Is it hungry? Is it sensing danger?
Well we just might be able to know this from now on. And if Petpuls tech actually works then someday it might be applied to cats too, or any animal for that matter. And if it only interprets several emotions today, who knows? Maybe someday this new tech will evolve into a real communication device for animals.
With the tag line “The AI-powered dog collar that gives your dog a ‘voice,’” Petpuls promises that users will be able to analyze their dog’s emotions with its AI-enabled voice recognition technology. Petpuls uses a proprietary algorithm in combination with a database of more than 10,000 bark samples from 50 breeds of dogs in four different sizes to detect and determine the “five different emotional states of your dog —relaxed, anxious, angry, sad or happy.”
It costs 99$. The collar utilizes voice recognition technology to analyze emotional well-being and can also function as an activity tracker. It also monitors the number of calories which your dog burns from exercise.
Petpuls boasts an emotional recognition accuracy rate of more than 80%.
This device gives a dog a voice so that humans can understand,” Andrew Gil, director of global marketing at Petpuls Lab, told Reuters.
“More people began to adopt dogs, but unfortunately some of them abandoned their dogs due to miscommunication,” Gil said. “Petpuls can have an important role in the pandemic…it helps owners understand how dogs feel and increases their bonding.”