Tutorialyolowildlife monitoringesp32edge ai
AI-Powered Leopard Alert System Uses ESP32
5.8
A DIY project demonstrates an AI-powered leopard alert system using a YOLOv5/v8 model and an ESP32 microcontroller to detect leopards in real time. The system trains on custom datasets (70/20/10 split), uses a 0.7 confidence threshold, supports IR night vision, and triggers buzzer, LED, mobile, or cloud notifications. It runs on edge or cloud and offers low-cost, scalable deployment for forests and villages.
Key Points
- 1Implements YOLO-based real-time leopard detection with 0.7 confidence threshold triggering alerts via ESP32
- 2Provides low-cost, low-power edge IoT solution suitable for day/night monitoring with IR support
- 3Enables practitioners to deploy scalable alerts using ESP32, YOLOv5/v8, and cloud notifications
Scoring Rationale
Practical, actionable tutorial with clear code and hardware steps; limited novelty and single-source credibility concerns.
Sources
Public references used for this report.
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