Squirrely Bird Feeders - Using AI to outsmart the Squirrels
Client & Advisor: Randall Geiger
Team Members
Nolan Hoenert
Software Engineer
Ben Bartels
Computer Engineer
Kenny Tran
Computer Engineer
Miles Nichols
Software Engineer
Wyatt Sinclair
Software Engineer
Jack Morrison
Computer Engineer
Project Overview
The Squirrely Bird Feeder project solves a common backyard problem: squirrels stealing birdseed and damaging feeders. Our solution combines artificial intelligence, motion detection, mechanical control, and cloud-based storage into one intelligent system. Using a Raspberry Pi controller, PIR motion sensor, and machine learning classification, the feeder can distinguish between birds and squirrels and automatically close a servo-controlled gate when squirrels are detected. The system captures and stores images in the cloud, giving users a digital birdwatching experience while protecting their birdseed. Our design is humane, weather-resistant, and low-maintenance.
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