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An automated detection system for the Asian yellow-legged hornet (Vespa velutina) that utilizes Raspberry Pi and computer vision technology to provide beekeepers, volunteers reporting hornet sightings to 'waarnemingen.nl', and researchers with a reliable tool for effectively monitoring and managing hornet populations.
Professional Raspberry Pi 5 camera streaming solution with WebRTC support, Docker containerization, and automated setup. Optimized for Camera Module 3.
This project is an interactive picture frame that responds to user interactions and environmental factors. Over time, the displayed image deteriorates, losing color and sharpness until it becomes completely black. Users can restore the image by interacting with the system, with each interaction having a specific impact on the restoration process.