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AI-Powered Smart Traps for Invasive Species

Landscape-scale solutions to transform invasive animal control

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Photo of tech sitting by a smart trap and managing it using the app

Our results* speak for themselves!

Dramatic improvements over traditional trapping methods in efficiency, bycatch reduction, staff time, travel and overall cost.

*Comparison study in collaboration with the University of Florida and USDA-APHIS on Argentine black and white tegu lizards in Florida.
93.4%

Labor Reduction

Remote arming and disarming, visual inspections and releasing non-targets takes only a few seconds through the app.

96%

Bycatch Reduction

Smart traps avoid capturing non-target species because they accurately distinguish target and non-target animals and can disarm when targets are not active (ie, during the day for nocturnal animals).

Award Winning Innovation!
WVS App interface example

Artificial Intelligence

Powered by computer vision trained on target and non-target species for accurate target detection.

Remote Connectivity

Remote management, control and notifications through the power of IoT.

Traditional Trapping

Adaptable framework for a variety of safe and proven mechanical trapping elements.

Data Analytics

Harness data in real-time! Review captures and constantly assess the performance of trapping initiatives.

Adaptable Framework

- Applicable to a variety of animals
- Support for custom trapping methods


Snake Trap →

Adaptable Framework

Broad Control Applicability

- Cost effective, continuous pressure
- Early Detection & Rapid Response (EDRR)
- Perfect for remote locations
- Research & monitoring
- Spay & neuter programs and pest control

Broad Control Applicability
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Our Research Partners

University of Florida
USDA APHIS

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