AI-Powered Bird Identification
A DIY smart birdfeeder that uses computer vision to identify bird species and track feeding patterns in real-time.
Features
Real-time bird species identification using TensorFlow
Automatic photo capture when birds approach
Feeding pattern analytics and daily reports
Weather integration for behavior correlation
Mobile app for remote monitoring
Hardware
Built with Raspberry Pi 4B (4GB), Pi Camera Module v2, weatherproof enclosure with proper ventilation, and solar panel for power backup.
Software Stack
Python for backend processing, TensorFlow Lite for edge AI, React dashboard for analytics visualization, and Node.js API server.
Challenges Overcome
Weatherproofing electronics, managing power consumption for 24/7 operation, optimizing ML models for edge devices, and handling varying lighting conditions.