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Flox Edge can be best compared to a digital sheepdog or a dynamic invisible fence - gently guiding wildlife around the human life and critical areas, in complete autonomy. To do this, the device uses a unique combination of genAI and wildlife science to detect, quickly deter and report wildlife around the clock.
Flox Edge doesn’t just detect — it perceives your landscape like wildlife does, scanning 24/7 for movement, patterns, and risk.
Flox Edge identifies species, gender, group size, behavior, and terrain in real time — constantly learning from local wildlife to choose the right, tailor-made deterrence. Unlike other solutions, it adapts to local conditions to avoid habituation and stay effective.
Backed by wildlife science and the latest AI models, Flox Edge reacts instantly with species-specific biacoustic sound deterrence — precise, humane, and always on point. We gather and present all wildlife statistics in wildlife reports based on your requirements.
Flox Edge is an automatic, battery-powered deterrent built with wildlife science in mind. It uses species and landscape-specific bioacoustics and latest AI models to detect, identify and guide wildlife in real time, without harm or habituation. Edge units together form the foundation of a virtual fence.
Easy to install on trees, fences, poles, or custom structure, Flox Edge are pre-configured and ready to go. It emphasizes a non-invasive deterrence method and can be customized and integrated with other tools or existing systems to cover larger areas and a wide range of animal species.
Battery-operated solution with standalone core functionality powered by onboard AI. Once connected to the cloud it performs over-the-air updates, system status tracking, and wildlife event logging.
All activity from Edge devices connects to the Flox Wildlife Management Platform, your central hub for insights, data, and control. From here, you can monitor deterrence, adjust strategies, and integrate with other systems — including wildlife warning signs, rail alerts, or additional Edge units deeper into the landscape.
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