Wildlife camera with object recognition
Source: magpi.raspberrypi.org
This project guides users to build a wildlife camera trap using a Raspberry Pi and a camera module. It employs motion detection software, integrates with Google's Vision API for object recognition (e.g., identifying birds), and then automatically tweets the captured images.
Categorisation
Stage 3: Architect (11-13+)Algorithmic & Procedural ThinkingScreen-Assisted / HybridCoding Activity
Props & Materials Required
- •Raspberry Pi
- •Pi Camera Module (or Pi NoIR Camera Module / ZeroCam NightVision - optional)
- •Waterproof container (e.g., jam jar)
- •Blu Tack, Sugru, elastic bands, carabiners
- •ZeroView (optional)
- •Raspbian installation on Raspberry Pi
- •Twitter account
- •Google account
- •Internet connection
Why It Works & Notes
Parent Note:
Learners will gain knowledge in microcontroller programming with Raspberry Pi, Python scripting, principles of computer vision and object recognition through Google Vision API, and integrating multiple web APIs (Google Vision, Twitter). They will also practice Linux command-line operations and basic hardware setup.