×
A Cambridge Boat Club’s Docks are Free of Goose Poop Now — Thanks to AI
Written by
Published on
Join our daily newsletter for breaking news, product launches and deals, research breakdowns, and other industry-leading AI coverage
Join Now

AI solution tackles persistent goose problem on Charles River docks: A retired engineer has developed an innovative artificial intelligence system to keep geese and their droppings off the Riverside Boat Club’s docks in Cambridge, Massachusetts.

The challenge: Rowers along the Charles River have long struggled with Canada geese occupying docks and leaving behind messy droppings, making launching boats a less-than-pleasant experience.

  • Previous attempts to deter geese, including fencing, kites, noisemakers, and motion-activated sprinklers, proved largely ineffective.
  • The issue was particularly problematic in the early morning hours when many rowers prefer to exercise.

The innovative solution: Andy Roy, a retired biomedical engineer and rowing enthusiast, created a low-cost AI-powered system to protect the docks from geese.

  • The system uses cameras mounted on the boathouse to capture images of the docks every few seconds.
  • A Raspberry Pi computer processes the images to detect motion.
  • When motion is detected, the image is uploaded to Amazon Web Services for AI-based image recognition.
  • If a goose is identified, the system activates lawn sprinklers to scare off the birds.

System effectiveness: The AI-powered deterrent has been highly successful in keeping the docks clean and goose-free.

  • For several months, the Riverside Boat Club’s docks have been almost entirely free of goose droppings.
  • Club members have praised the system as a “game changer” for improving their rowing experience.
  • The geese have learned to avoid the docks, often departing at the sound of the sprinklers before getting sprayed.

Cost-effective and environmentally friendly: The AI solution offers an affordable and humane approach to wildlife management.

  • The system costs only about $20 per month to operate, with minimal charges for cloud-based image analysis.
  • The method complies with the Migratory Bird Act of 1918, which prohibits harming geese but allows for harmless harassment.
  • Wildlife experts suggest that water-based deterrents are more effective long-term than visual or auditory scare tactics.

Broader implications: The success of this AI-powered solution could have far-reaching effects on wildlife management and urban coexistence.

  • Other rowing clubs have expressed interest in implementing similar systems to address their own goose problems.
  • The approach demonstrates how AI and low-cost technology can be applied to solve everyday environmental challenges.
  • This innovation highlights the potential for creative, non-harmful solutions to human-wildlife conflicts in urban areas.

Looking ahead: As AI technology continues to advance, we may see more applications of smart systems in managing wildlife interactions and improving urban environments.

  • The success of this project could inspire similar AI-driven solutions for other wildlife management issues.
  • It also raises questions about the broader potential of AI in environmental conservation and urban planning.
  • Future developments may focus on refining the technology to address other species or expanding its use to different settings.
Can AI help man outsmart goose?

Recent News

Nvidia’s new AI agents can search and summarize huge quantities of visual data

NVIDIA's new AI Blueprint combines computer vision and generative AI to enable efficient analysis of video and image content, with potential applications across industries and smart city initiatives.

How Boulder schools balance AI innovation with student data protection

Colorado school districts embrace AI in classrooms, focusing on ethical use and data privacy while preparing students for a tech-driven future.

Microsoft Copilot Vision nears launch — here’s what we know right now

Microsoft's new AI feature can analyze on-screen content, offering contextual assistance without the need for additional searches or explanations.