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.
Key Themes Behind This Trend
- 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.
Where This Applies
- Home Security
- Opportunity for integrating deep learning technology into home security systems to create more precise and targeted alerts.
- Gardening and Landscaping
- Potential for incorporating cat repellent software into sprinkler systems to protect lawns and gardens from unwanted feline visitors.
- Pet Care
- Possibility of developing cat repellent devices or software for pet owners to keep their cats away from certain areas without causing harm.
