Demo: InvisibleFence: Non-Lethal Edge-Optimized AI for Human Wildlife Coexistence and Crop Protection

Human-wildlife conflicts in residential/agricultural settings rely on ineffective deterrents like rodenticides or fences. We introduce InvisibleFence, a modular 3D-printed Vision Pod system with off-the-shelf deterrents. The Vision Pod fuses a 2K camera and 240° motion sensing with an edge-optimized pipeline trained on 44,000 wildlife images of eleven classes—achieving 86.7% mAP. Benchmarking YOLO variants (416p–2K) ensures performance. Upon detection, it sends MQTT commands to drive deterrent units—ultrasonic speakers or lighting/spray modules—that emit tones without affecting humans or pets. InvisibleFence creates adaptive zones that reduce false triggers and limit habituation.

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Publication Details

Published
2025-06-23
DOI
https://doi.org/10.1145/3711875.3734379
Primary Topic
Insect and Arachnid Ecology and Behavior
Type
article
Field-Weighted Citation Impact
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article

Demo: InvisibleFence: Non-Lethal Edge-Optimized AI for Human Wildlife Coexistence and Crop Protection

Nirmalya Roy, Bipendra Basnyat, Snehalraj Chugh, Milind Rampure et al.
Insect and Arachnid Ecology and Behavior
article

Demo: InvisibleFence: Non-Lethal Edge-Optimized AI for Human Wildlife Coexistence and Crop Protection

Nirmalya Roy, Bipendra Basnyat, Snehalraj Chugh, Milind Rampure, Elijah Polyakov
article en

Abstract

Human-wildlife conflicts in residential/agricultural settings rely on ineffective deterrents like rodenticides or fences. We introduce InvisibleFence, a modular 3D-printed Vision Pod system with off-the-shelf deterrents. The Vision Pod fuses a 2K camera and 240° motion sensing with an edge-optimized pipeline trained on 44,000 wildlife images of eleven classes—achieving 86.7% mAP. Benchmarking YOLO variants (416p–2K) ensures performance. Upon detection, it sends MQTT commands to drive deterrent units—ultrasonic speakers or lighting/spray modules—that emit tones without affecting humans or pets. InvisibleFence creates adaptive zones that reduce false triggers and limit habituation.

University of Maryland, Baltimore County (US)
Openalex Percentile: Top 71%
Insect and Arachnid Ecology and Behavior
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