Custom-trained AI locks laser onto mosquitoes, eliminates pests in real time
SMRTR summary
A man armed with a camera, a graphics card, and an apparent tolerance for suffering let mosquitoes bite him repeatedly, all in the name of science.
Steven Cheng spent four months building an AI-powered laser system that automatically detects, tracks, and eliminates mosquitoes. To train the deep learning model, he photographed thousands of the insects up close, enduring, in his words, "countless mosquito bites all over my body."
The finished system mounts a precision laser on an industrial robotic gimbal, which continuously repositions itself to follow moving targets identified by the AI. A second wide-angle camera monitors the room, preventing the laser from firing if a person or flammable material is nearby.
After one night of operation, Cheng reported that all the mosquitoes in his home were "successfully eliminated."
The project remains a personal prototype, but it signals something larger: the tools of advanced robotics and AI are increasingly within reach of curious individuals working alone.
SMRTR provides this summary for quick context. The original article belongs to Interesting Engineering.
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