The cats They have fascinated the human being for centuries. If you have one at home, surely you will continue to be surprised every day by the way your pet is. And if you have two or more cats in your home, surely you already know each one perfectly. Every cat is unique. They have their tastes and also their manias. As usual, we all tend to do what is in our power to improve the lives of our cats. and this engineer of software has created a artificial intelligence so that one of his cats does not end his seven lives quickly.
Does your cat go well to the litter box? This engineer has everything under control with an AI
Unlike dogs, science hasn’t yet spent as much time and effort studying cat behavior. Sometimes, our pet does strange things and we are not very clear about the reason. And that leads us to the fact that some kittens tend to take on bad habits like chewing and swallowing objects that we have at home and that are not edible. If your cat has ever done this, you’ll know that what comes next is quite a drama, and you’ll end up at the vet for an x-ray.
Well, the software engineer Stephanie has a cat that has the absurd mania of eating plastic. The problem is that if a cat eats plastic (such as from a bag), its digestion can stop completely. The cat will begin to feel bad, will begin to have a fever and will have to go to the vet quickly in case they have to do a surgical intervention. To anticipate even more, the engineer has dedicated two years of her life to programming an intelligence artificial that records the habits of your cat when going through the sandbox.
In a recently uploaded video called ‘Why I’ve taken 50,000 photos of my cats pooping’, he explains how he has designed a system to monitor the transit of your cat Teddy.
Raspberry Pi, Sensors, Machine Learning and many beautiful photos
To make her system, the youtuber has used a raspberry pia infrared camera and a good collection of sensors. To this are added some 50,000 images of your cats in the litter box. The photos have served as the basis for a system of machine learning that is capable of differentiating which of the two cats is the one that has passed through the litter box.
The operation of the system is somewhat curious: one of the cats reaches the sandbox. The software finds and compares the patterns of both cats to recognize if it’s Luna or Teddy. Sensors then detect whether the kitty is doing number one or number two. Subsequently records on a server if Teddy has pooped. When the cat goes to the sandbox several times and doesn’t do the big thing, Estefannie knows that her cat lady has hit the Mercadona bags again.
Thanks to all the hardware and the hours Estefannie has dedicated to programming her software, the engineer now has a system at home capable of monitor your cat’s poop through artificial intelligence.
