Deterring Ants with GPUs and Deep Learning

Robert Bond, an NVIDIA engineer, created an “ant annoyer” using deep learning and a Jetson TK1 developer kit to pinpoint ants scuttling across his kitchen floor and target them with a 5 milliwatt laser beam.

Robert mentioned the project was not even practical before he got his hands on the  Jetson board, which puts unprecedented computing performance in a low-power, portable and fully programmable package, plus it has support for the Caffe deep-learning software development framework.

He trained a neural network in nearly 30 minutes using his personal home video of ants to recognize the pesky insects.

Deep learning has a lot of potential,” Robert says. “And I was really impressed that the Jetson had the horsepower to do all the processing needed to do this in real time.”

Read more about the project >>

About Brad Nemire

Brad Nemire
Brad Nemire is on the Developer Marketing team and loves reading about all of the fascinating research being done by developers using NVIDIA GPUs. Reach out to Brad on Twitter @BradNemire and let him know how you’re using GPUs to accelerate your research. Brad graduated from San Diego State University and currently resides in San Jose, CA. Follow @BradNemire on Twitter