Part of the appeal of cats is that they answer to no call, follow no master and march to the beat of their own drum -- but that free-spirited behavior is wont to make cat repellent software a necessity. Robert Bond, an engineer who worked on the deep learning Nvidia Jetson TX1 module created a system that turns his lawn sprinklers on whenever a cat attempts to do its business there.
What makes Bond's system so impressive and groundbreaking is that it is not merely a motion detector. Rather than drenching innocent birds, squirrels, or children, his sprinklers will only activate if a cat is up to no good on the lawn.
Though the cat repellent software seems dangerously close to some sort of dystopian, Skynet-esque future, Bond claims that the system "wasn't actually that much work," taking him about 15 hours to create.
Deep Learning Cat Repellents
This Software Uses Nvidia Tech to Keep Cats Off Lawns
Trend Themes
1. Deep Learning Cat Repellents - Using deep learning technology to create cat repellent systems that only activate when a cat is causing trouble on a lawn.
Industry Implications
1. Home Security - Opportunity for integrating deep learning technology into home security systems to create more precise and targeted alerts.
2. Gardening and Landscaping - Potential for incorporating cat repellent software into sprinkler systems to protect lawns and gardens from unwanted feline visitors.
3. Pet Care - Possibility of developing cat repellent devices or software for pet owners to keep their cats away from certain areas without causing harm.